{
  "capped": false,
  "live": 725,
  "meta": 752,
  "kernels": [
    {
      "ref": "nabeelarshad1/v1445",
      "title": "V1445",
      "source": "live"
    },
    {
      "ref": "nguyentongphuc/cxr-cad-accounta-02-head-frozen-attnmil",
      "title": "CXR-CAD_AccountA_02_head_frozen_attnmil",
      "source": "live"
    },
    {
      "ref": "minhchuonngc/dap391m-baseline-yolov8s-tr-n-vindr-cxr",
      "title": "DAP391m - Baseline YOLOv8s trên VinDr-CXR",
      "source": "live"
    },
    {
      "ref": "hilarylee33/data-cleaning",
      "title": "Data_cleaning",
      "source": "live"
    },
    {
      "ref": "nguyentongphuc/cxr-cad-accounta-01-linear-probe-cls-ep3",
      "title": "CXR-CAD_AccountA_01_linear_probe_CLS_ep3",
      "source": "live"
    },
    {
      "ref": "hilarylee33/preprocessing",
      "title": "preprocessing",
      "source": "live"
    },
    {
      "ref": "amanihassanii/notebookc01d2bb259",
      "title": "notebookc01d2bb259",
      "source": "live"
    },
    {
      "ref": "dianarosealanib/notebook6f682b31e2",
      "title": "notebook6f682b31e2",
      "source": "live"
    },
    {
      "ref": "hunhduykhang/doublek",
      "title": "DoubleK",
      "source": "live"
    },
    {
      "ref": "mjl51432/cxr-vinai",
      "title": "CXR_VinAI",
      "source": "live"
    },
    {
      "ref": "hilarylee33/0-1280model",
      "title": "0_1280model",
      "source": "live"
    },
    {
      "ref": "hilarylee33/only-datacleaning-final",
      "title": "only_datacleaning_final",
      "source": "live"
    },
    {
      "ref": "hilarylee33/640-preprocessing-final",
      "title": "640_preprocessing_final",
      "source": "live"
    },
    {
      "ref": "trinhvietduong/train-on-kaggle",
      "title": "train_on_kaggle",
      "source": "live"
    },
    {
      "ref": "nihalabhay/chest-imagenet",
      "title": "Chest ImageNet",
      "source": "live"
    },
    {
      "ref": "nhatly3/t-o-input",
      "title": "Tạo Input",
      "source": "live"
    },
    {
      "ref": "nhatly3/yolov8nano",
      "title": "YOLOv8nano",
      "source": "live"
    },
    {
      "ref": "nhatly3/notebookcd42b99aa7",
      "title": "notebookcd42b99aa7",
      "source": "live"
    },
    {
      "ref": "shiamaakamel/training-vinbig-pngs",
      "title": "Training_Vinbig_Pngs",
      "source": "live"
    },
    {
      "ref": "joshuaramnauth/argus-squad-a",
      "title": "Argus - Squad A",
      "source": "live"
    },
    {
      "ref": "tmpxtn/cache-bounding-box",
      "title": "CACHE_bounding box",
      "source": "live"
    },
    {
      "ref": "mikalduc/yolov8",
      "title": "YoloV8",
      "source": "live"
    },
    {
      "ref": "stefanomagnati/model",
      "title": "Model",
      "source": "live"
    },
    {
      "ref": "stefanomagnati/pulmonary-nodule-detection-and-xai",
      "title": "Pulmonary Nodule Detection and XAI",
      "source": "live"
    },
    {
      "ref": "ssb004/notebook9e0bf3d582",
      "title": "notebook9e0bf3d582",
      "source": "live"
    },
    {
      "ref": "trnhuti666/06b-vindr-fix",
      "title": "06b_vindr_fix",
      "source": "live"
    },
    {
      "ref": "phucmarco210/stage-1-traning-classifier",
      "title": "stage 1: traning classifier",
      "source": "live"
    },
    {
      "ref": "demicklenos/final-project-v4-d48eec",
      "title": "Final Project v4 d48eec",
      "source": "live"
    },
    {
      "ref": "vhthai/convnextv2-vit-final",
      "title": "ConvNeXtV2 - ViT_final",
      "source": "live"
    },
    {
      "ref": "vhthai/maxvit-final",
      "title": "MaxViT_final",
      "source": "live"
    },
    {
      "ref": "mickgetuhaha/final-project-v4-d48eec",
      "title": "Final Project v4 d48eec",
      "source": "live"
    },
    {
      "ref": "vhthai/swin-transformer-final",
      "title": "Swin Transformer_final",
      "source": "live"
    },
    {
      "ref": "vhthai/coatnet-0-final",
      "title": "CoAtNet - 0_final",
      "source": "live"
    },
    {
      "ref": "nguyentongphuc/05-3model",
      "title": "05_3model",
      "source": "live"
    },
    {
      "ref": "michaelgetuu/final-project-v4",
      "title": "Final Project v4",
      "source": "live"
    },
    {
      "ref": "mixp123/stage-1-traning-classifier",
      "title": "stage 1: traning classifier",
      "source": "live"
    },
    {
      "ref": "bodoict/get-train-metrics",
      "title": "get train metrics",
      "source": "live"
    },
    {
      "ref": "shun219/btl-ainc-102230259",
      "title": "BTL_AINC_102230259",
      "source": "live"
    },
    {
      "ref": "vnphnphm/vindr-yolo8",
      "title": "VINDR_YOLO8",
      "source": "live"
    },
    {
      "ref": "cngrindng/chest-x-ray-abnormalities-densenet-pipeline",
      "title": "Chest X-ray abnormalities: densenet pipeline",
      "source": "live"
    },
    {
      "ref": "hngbnhhong/binh332434",
      "title": "Binh332434",
      "source": "live"
    },
    {
      "ref": "quanglevan2004/ai-12-5-process-data",
      "title": "AI_12/5_process_data",
      "source": "live"
    },
    {
      "ref": "zqaaqz/notebookb8b327727f",
      "title": "notebookb8b327727f",
      "source": "live"
    },
    {
      "ref": "kaito137/vinbigdata",
      "title": "VinBigData",
      "source": "live"
    },
    {
      "ref": "nhaquin/vinbignha",
      "title": "vinbigNha",
      "source": "live"
    },
    {
      "ref": "duymnhphm/datagoc",
      "title": "datagoc",
      "source": "live"
    },
    {
      "ref": "lmthnhaa/vindr-ver2",
      "title": "vindr_ver2",
      "source": "live"
    },
    {
      "ref": "keyshiftf/cxr-vinai-model",
      "title": "CXR_VinAI_Model",
      "source": "live"
    },
    {
      "ref": "saimonv/ai-xray-v2",
      "title": "AI_Xray_v2",
      "source": "live"
    },
    {
      "ref": "anhdin/predict-vin-512",
      "title": "predict-vin-512",
      "source": "live"
    },
    {
      "ref": "thanhkhai/ai-eda",
      "title": "AI-EDA",
      "source": "live"
    },
    {
      "ref": "chngnphong/datavin-binary-my",
      "title": "DataVin_binary_My",
      "source": "live"
    },
    {
      "ref": "hoang0411/compare-lung",
      "title": "compare lung",
      "source": "live"
    },
    {
      "ref": "bovntntht1908/finalxraytransferlearning",
      "title": "finalXrayTransferLearning",
      "source": "live"
    },
    {
      "ref": "mixp123/eda-dataset",
      "title": "EDA dataset ",
      "source": "live"
    },
    {
      "ref": "nhungleee/vin5a",
      "title": "vin5a",
      "source": "live"
    },
    {
      "ref": "nhtran2106/vinbigdata-ai",
      "title": "VinBigdata AI ",
      "source": "live"
    },
    {
      "ref": "nguyentongphuc/01-eda-metadata-split-nih-rsna",
      "title": "01_EDA_Metadata_Split_NIH_RSNA",
      "source": "live"
    },
    {
      "ref": "nguyenphanthanhan/datavin-binary",
      "title": "DataVin_binary",
      "source": "live"
    },
    {
      "ref": "nguyenphanthanhan/notebook-test-ttnt",
      "title": "notebook_test_TTNT",
      "source": "live"
    },
    {
      "ref": "benxelua/lung-yolo-mutiple-preprocess",
      "title": "lung-yolo-mutiple-preprocess",
      "source": "live"
    },
    {
      "ref": "nguyenphanthanhan/notebook-prep-d-t",
      "title": "notebook_prep_dât",
      "source": "live"
    },
    {
      "ref": "mickgetuhaha/final-project-v4",
      "title": "Final Project v4",
      "source": "live"
    },
    {
      "ref": "demicklenos/final-project-v2",
      "title": "Final Project V2",
      "source": "live"
    },
    {
      "ref": "michaelgetuu/project-v14",
      "title": "Project v14",
      "source": "live"
    },
    {
      "ref": "mickgt/project-v8",
      "title": "Project v8",
      "source": "live"
    },
    {
      "ref": "dasylamnk/project-v8",
      "title": "Project v8",
      "source": "live"
    },
    {
      "ref": "demicklenos/project-v-6",
      "title": "Project V.6",
      "source": "live"
    },
    {
      "ref": "mickgt/project-v-5",
      "title": "Project V.5",
      "source": "live"
    },
    {
      "ref": "vhthai/cache",
      "title": "CACHE",
      "source": "live"
    },
    {
      "ref": "urvalatif/chest-x-ray-abnormalities-train-split-inference",
      "title": "Chest X-ray Abnormalities - Train Split Inference",
      "source": "live"
    },
    {
      "ref": "qdaika/dl-vinbigdata-detectron2",
      "title": "DL_VinBigData_Detectron2",
      "source": "live"
    },
    {
      "ref": "quytinhxun/dl-vinbigdata-detectron2",
      "title": "DL_VinBigData_Detectron2",
      "source": "live"
    },
    {
      "ref": "quytinhxun/dl-davitbase-unetr-vinbigdata",
      "title": "DL_DaViTBase_UNetr_VINBIGDATA",
      "source": "live"
    },
    {
      "ref": "benxelua/preprocess",
      "title": "PREPROCESS",
      "source": "live"
    },
    {
      "ref": "hoang0411/lut-prep",
      "title": "LUT_prep",
      "source": "live"
    },
    {
      "ref": "bacahlam/adaptive",
      "title": "Adaptive",
      "source": "live"
    },
    {
      "ref": "hongtrungngu/lung-clahe-histogrameq",
      "title": "Lung_CLAHE_HistogramEq",
      "source": "live"
    },
    {
      "ref": "ngc2222/percentile",
      "title": "percentile",
      "source": "live"
    },
    {
      "ref": "adityakashyap1111/notebook1b691b168f",
      "title": "notebook1b691b168f",
      "source": "live"
    },
    {
      "ref": "ericconard/week-5-assignment",
      "title": "Week 5 Assignment",
      "source": "live"
    },
    {
      "ref": "hoang0411/expert-window",
      "title": "Expert Window",
      "source": "live"
    },
    {
      "ref": "benxelua/lung-yolo-final-test1preprocess",
      "title": "LUNG_YOLO_FINAL_TEST1preprocess",
      "source": "live"
    },
    {
      "ref": "hoangtrandpl/voi-lut",
      "title": "VOI LUT",
      "source": "live"
    },
    {
      "ref": "ngc2222/lungs-dino-mmdet-resnet",
      "title": "LUNGS_DINO_MMDET_RESNET",
      "source": "live"
    },
    {
      "ref": "ngc6509/lung-yolo-final",
      "title": "LUNG_YOLO_FINAL",
      "source": "live"
    },
    {
      "ref": "hoang0411/lung-yolo-expert-rgb",
      "title": "lung-yolo-expert-rgb",
      "source": "live"
    },
    {
      "ref": "lenguyen111/notebook73bb7f1eef",
      "title": "notebook73bb7f1eef",
      "source": "live"
    },
    {
      "ref": "vhthai/convnextv2-vit",
      "title": "ConvNeXtV2 - ViT",
      "source": "live"
    },
    {
      "ref": "assemelqirsh/eda-cxr",
      "title": "EDA CXR",
      "source": "live"
    },
    {
      "ref": "cdhar08040902/clinii",
      "title": "CLINII",
      "source": "live"
    },
    {
      "ref": "cdhar08040902/cliniscanfinal",
      "title": "CliniScanFINAL",
      "source": "live"
    },
    {
      "ref": "voquynhnga/ai-chest-xray",
      "title": "AI - CHEST XRAY",
      "source": "live"
    },
    {
      "ref": "benxelua/lung-yolo",
      "title": "LUNG_YOLO",
      "source": "live"
    },
    {
      "ref": "nadeemmbadr/vinbigdata-2-class-classifier-complete-pipeline",
      "title": "📸VinBigData 2-class classifier complete pipeline",
      "source": "live"
    },
    {
      "ref": "dasandco/datasetofml",
      "title": "datasetofml",
      "source": "live"
    },
    {
      "ref": "cdhar08040902/cliniscan-1and-2",
      "title": "CliniScan_1and_2",
      "source": "live"
    },
    {
      "ref": "cdhar08040902/notebook6b00790367",
      "title": "notebook6b00790367",
      "source": "live"
    },
    {
      "ref": "lohithgudla/mlproject",
      "title": "mlproject",
      "source": "live"
    },
    {
      "ref": "shubhamsalunke27/internship",
      "title": "Internship",
      "source": "live"
    },
    {
      "ref": "benedekbrandschott/testing",
      "title": "Testing",
      "source": "live"
    },
    {
      "ref": "venkatsaiii/notebook5940a6799d",
      "title": "notebook5940a6799d",
      "source": "live"
    },
    {
      "ref": "dasandco/notebook844314f6e8",
      "title": "notebook844314f6e8",
      "source": "live"
    },
    {
      "ref": "afro624/ai-cliniscan",
      "title": "AI Cliniscan",
      "source": "live"
    },
    {
      "ref": "kalpana25/infosys-springboard",
      "title": "Infosys Springboard",
      "source": "live"
    },
    {
      "ref": "cdhar08040902/cliniscan-milestone1",
      "title": "CliniScan_Milestone1",
      "source": "live"
    },
    {
      "ref": "lohithgudla/notebookdcba44409b",
      "title": "notebookdcba44409b",
      "source": "live"
    },
    {
      "ref": "tuktuai/vindr-image-convert",
      "title": "VINDR_image_convert",
      "source": "live"
    },
    {
      "ref": "kunny47/chest-x-ray-self",
      "title": "Chest X-Ray Self",
      "source": "live"
    },
    {
      "ref": "shiamaakamel/normal-vs-upnormal-with-segmentation",
      "title": "Normal_vs_UpNormal_With_segmentation",
      "source": "live"
    },
    {
      "ref": "phmduyanh16/chest-x-ray-self",
      "title": "Chest X-Ray Self",
      "source": "live"
    },
    {
      "ref": "shiamaakamel/chest-xray-normal-vs-upnormal",
      "title": "chest_Xray_Normal_vs_UpNormal",
      "source": "live"
    },
    {
      "ref": "namnguyenhoang1/master-notebook-vindr",
      "title": "Master_notebook_VinDr",
      "source": "live"
    },
    {
      "ref": "anhtrmm/yolov12s-chest-x-ray-v2",
      "title": "YOLOv12s - Chest X-ray V2",
      "source": "live"
    },
    {
      "ref": "hushows/notebookf334c9abca",
      "title": "notebookf334c9abca",
      "source": "live"
    },
    {
      "ref": "namnguyenhoang1/vindrproject-preprocessing-640",
      "title": "VinDrProject Preprocessing 640",
      "source": "live"
    },
    {
      "ref": "ggduck14/chest",
      "title": "Chest",
      "source": "live"
    },
    {
      "ref": "ayesidenurylmaz/vinbigdata-chest-x-ray-analysis",
      "title": "VinBigData_Chest_X-Ray_Analysis",
      "source": "live"
    },
    {
      "ref": "tuktuai/process-dicom",
      "title": "process dicom",
      "source": "live"
    },
    {
      "ref": "bihidng/yolov12s-rerun-chest-x-ray",
      "title": "YOLOv12s Rerun - Chest X-ray",
      "source": "live"
    },
    {
      "ref": "bihidng/fork-of-yolov12s-chest-x-ray",
      "title": "Fork of YOLOv12s - Chest X-ray",
      "source": "live"
    },
    {
      "ref": "namnguyenhoang1/testvinbigdata-x-ray",
      "title": "testVinBigData_X-ray",
      "source": "live"
    },
    {
      "ref": "aaronpham/vindr-image-convert",
      "title": "VINDR_image_convert",
      "source": "live"
    },
    {
      "ref": "lqucng/vinbigdata-cxr-yolov5",
      "title": "VinBigData-CXR YOLOv5",
      "source": "live"
    },
    {
      "ref": "lqucng/vinbigdata-cxr-yolov5-14-class-train",
      "title": "VinBigData-CXR-YOLOv5 14 Class [train]",
      "source": "live"
    },
    {
      "ref": "longphmnguynhi/vin-csr-training",
      "title": "VIN CSR Training",
      "source": "live"
    },
    {
      "ref": "longphmnguynhi/vindr-image-convert",
      "title": "VINDR_image_convert",
      "source": "live"
    },
    {
      "ref": "aaronpham/vindr-analysis",
      "title": "VINDR analysis",
      "source": "live"
    },
    {
      "ref": "joeyguo12327/joeyguo12327-yolo11n-det-fine-tune-vinbigdata-cxr",
      "title": "joeyguo12327 YOLO11n-det fine-tune VinBigData CXR",
      "source": "live"
    },
    {
      "ref": "b2203445/yolov11-1024img-16batch-100e-cutmix-andmore",
      "title": "yolov11-1024img-16batch-100e-cutmix-andmore",
      "source": "live"
    },
    {
      "ref": "aaronpham/vindr-cxr-eda",
      "title": "VinDr CXR (eda)",
      "source": "live"
    },
    {
      "ref": "vasuchakravarthi/lung-abnormality",
      "title": "Lung Abnormality ",
      "source": "live"
    },
    {
      "ref": "phamchienunc/training-deim",
      "title": "Training DEIM",
      "source": "live"
    },
    {
      "ref": "nareshr2005/notebook3858f8286d",
      "title": "notebook3858f8286d",
      "source": "live"
    },
    {
      "ref": "rnaresh2005/notebook932e39e76f",
      "title": "notebook932e39e76f",
      "source": "live"
    },
    {
      "ref": "nareshr22mis0015/notebook790743b3b1",
      "title": "notebook790743b3b1",
      "source": "live"
    },
    {
      "ref": "shiamaakamel/tst-our-data-1000-using-finetuned-5epoch-59d41c",
      "title": "Tst_our_data_1000_using_finetuned_5epoch 59d41c",
      "source": "live"
    },
    {
      "ref": "ahmedahmoud/tst-our-data-1000-using-finetuned-5epoch",
      "title": "Tst_our_data_1000_using_finetuned_5epoch",
      "source": "live"
    },
    {
      "ref": "shiamaashahen/yolo-4classes",
      "title": "YOLO_4classes",
      "source": "live"
    },
    {
      "ref": "bhumiikaa/x-ray-model-yolov11m",
      "title": "X-ray model yolov11m",
      "source": "live"
    },
    {
      "ref": "filossoft/chext-xray-yolo-model-training",
      "title": "chext-xray-yolo-model-training",
      "source": "live"
    },
    {
      "ref": "shaimaakamelshaheen/normal-abnormal-integration",
      "title": "Normal_Abnormal_Integration",
      "source": "live"
    },
    {
      "ref": "shiamaashahen/fine-tuning-models-normal-abnormal",
      "title": "Fine_Tuning_Models_Normal_Abnormal",
      "source": "live"
    },
    {
      "ref": "vokeeshemitan/lung-cancer-early-detection",
      "title": "Lung Cancer Early Detection ",
      "source": "live"
    },
    {
      "ref": "lengocmaik17hl/optimize-ct-scans-for-vinbigdata-chest-x-ray",
      "title": "Optimize CT Scans for VinBigData Chest X-ray",
      "source": "live"
    },
    {
      "ref": "shiamaashahen/normal-vs-upnormal-with-segmentation",
      "title": "Normal_vs_UpNormal_With_segmentation",
      "source": "live"
    },
    {
      "ref": "shiamaashahen/normal-vs-upnormal",
      "title": "Normal_vs_UpNormal",
      "source": "live"
    },
    {
      "ref": "montagne1907/real-world-benchmark-datasets-with-noise-labels",
      "title": "Real-World Benchmark Datasets with Noise Labels",
      "source": "live"
    },
    {
      "ref": "shiamaashahen/chest-xray-normal-vs-upnormal",
      "title": "chest_Xray_Normal_vs_UpNormal",
      "source": "live"
    },
    {
      "ref": "lengocmaik17hl/vinbigdata-100-image",
      "title": "Vinbigdata 100 image",
      "source": "live"
    },
    {
      "ref": "mdmoniruzzamansojol/nsec-yolo-tx",
      "title": "NSEC-YOLO-TX",
      "source": "live"
    },
    {
      "ref": "nejlasla/best-model-all-diseases",
      "title": "best-model-all-diseases",
      "source": "live"
    },
    {
      "ref": "samiblack/only-traininggg",
      "title": "only_traininggg",
      "source": "live"
    },
    {
      "ref": "rafialabdullah/cleaner-code",
      "title": "cleaner_code",
      "source": "live"
    },
    {
      "ref": "linajbara/only-traininggg",
      "title": "only_traininggg",
      "source": "live"
    },
    {
      "ref": "dotran0101/yolo-v11-vinbigdata",
      "title": "Yolo_v11_vinbigdata",
      "source": "live"
    },
    {
      "ref": "bishoyadel1233/term1",
      "title": "term1",
      "source": "live"
    },
    {
      "ref": "nguyenphuocdaitoan/faster-rcnn-faster-rcnn-r-101-fpn-3x-xray",
      "title": "Faster-RCNN Faster RCNN R 101 FPN 3X Xray",
      "source": "live"
    },
    {
      "ref": "goharpetrosyan06/nodule-detector-bbox",
      "title": "Nodule Detector(BBox)",
      "source": "live"
    },
    {
      "ref": "mohamedabdo851/momodel",
      "title": "MoModel",
      "source": "live"
    },
    {
      "ref": "linajbara/pfemodel-5bf637",
      "title": "pfeModel 5bf637",
      "source": "live"
    },
    {
      "ref": "nguyentoan102002/faster-rcnn-xray",
      "title": "Faster-RCNN Xray",
      "source": "live"
    },
    {
      "ref": "nguyenphuocdaitoan/vinbigdata-detectron2-train",
      "title": "📸VinBigData detectron2 train",
      "source": "live"
    },
    {
      "ref": "buithanhxuan/vindrcxr-fusing-bboxes-yolo-dataset640px-14class",
      "title": "vindrcxr-fusing-bboxes-yolo-dataset640px-14class",
      "source": "live"
    },
    {
      "ref": "nejlasla/pfemodel-5bf637",
      "title": "pfeModel 5bf637",
      "source": "live"
    },
    {
      "ref": "xnuynt732/vinbigdata-detectron2-train-512x512",
      "title": "📸VinBigData detectron2 train 512x512",
      "source": "live"
    },
    {
      "ref": "hongphcnguynvn/pytorch-fasterrcnn-with-group-kfold-14-class",
      "title": "Pytorch FasterRCNN with Group KFOLD - 14 class",
      "source": "live"
    },
    {
      "ref": "samiblack/pfemodel-ba98e7",
      "title": "pfeModel ba98e7",
      "source": "live"
    },
    {
      "ref": "maituduy/vinbigdata-cxr-ad-yolov5-14-class-train",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train]",
      "source": "live"
    },
    {
      "ref": "minhhaionlyfans/yolo-v9-vinbigdata",
      "title": "Yolo_v9_vinbigdata",
      "source": "live"
    },
    {
      "ref": "ravindusayuranga/vin-yolo-train-v4",
      "title": "vin_yolo train v4",
      "source": "live"
    },
    {
      "ref": "mkjindal/addestramento-con-png",
      "title": "Addestramento con PNG",
      "source": "live"
    },
    {
      "ref": "bishoyadel1233/detection-and-localization",
      "title": "Detection and localization",
      "source": "live"
    },
    {
      "ref": "minhhaionlyfans/yolo-v9-implementation-zero-to-hehe",
      "title": "Yolo_V9_Implementation_Zero_to_Hehe",
      "source": "live"
    },
    {
      "ref": "sumiranrai/lungvision-max-vit-rmlp",
      "title": "LungVision Max ViT RMLP",
      "source": "live"
    },
    {
      "ref": "youssefmagdy22/det-localise",
      "title": "Det+Localise",
      "source": "live"
    },
    {
      "ref": "linajbara/pfemodel",
      "title": "pfeModel",
      "source": "live"
    },
    {
      "ref": "buithanhxuan/fasterrcnn-xuan2261",
      "title": "FasterRCNN_xuan2261",
      "source": "live"
    },
    {
      "ref": "vijaykaranjkar/vinbigdatachestxray",
      "title": "VinBigDataChestXRay",
      "source": "live"
    },
    {
      "ref": "tienhung0305/chest-x-ray",
      "title": "Chest X-ray",
      "source": "live"
    },
    {
      "ref": "buithanhxuan/vindrcxr-fusing-bboxes-yolo-dataset640px-1class",
      "title": "vindrcxr-fusing-bboxes-yolo-dataset640px-1class",
      "source": "live"
    },
    {
      "ref": "anghungyie/vinbigdatayolov8",
      "title": "VinBigDataYOLOv8",
      "source": "live"
    },
    {
      "ref": "duynguyen347/vinbigdata-detectron2-train-512x512",
      "title": "📸VinBigData detectron2 train 512x512",
      "source": "live"
    },
    {
      "ref": "thephantam/vinbigdata-x-ray-chest-abnormalities-detection",
      "title": "Vinbigdata X-Ray Chest Abnormalities Detection",
      "source": "live"
    },
    {
      "ref": "siruitan/subset-downloader",
      "title": "Subset Downloader",
      "source": "live"
    },
    {
      "ref": "duynguyen347/vinbigdata-detectron2-prediction",
      "title": "📸VinBigData detectron2 prediction",
      "source": "live"
    },
    {
      "ref": "duynguyen347/vinbigdata-detectron2-train",
      "title": "📸VinBigData detectron2 train",
      "source": "live"
    },
    {
      "ref": "claudiodellamotta/addestramento-con-png",
      "title": "Addestramento con PNG",
      "source": "live"
    },
    {
      "ref": "kushalbhargav/vinbigdata-chest-x-ray-abnormalities-classifier",
      "title": "VinBigdata Chest X_Ray Abnormalities Classifier",
      "source": "live"
    },
    {
      "ref": "phmchtm/vinbig",
      "title": "VinBig",
      "source": "live"
    },
    {
      "ref": "tiennguynhuudvf/vinbigdata-fusing-bboxes-yolo-dataset-3-91cbe6",
      "title": "VinBigData - Fusing Bboxes + Yolo Dataset 3 91cbe6",
      "source": "live"
    },
    {
      "ref": "kalashnikov1405/lol2398",
      "title": "Lol2398",
      "source": "live"
    },
    {
      "ref": "thnhnamdng/yolov8-c4ce74",
      "title": "yolov8 c4ce74",
      "source": "live"
    },
    {
      "ref": "quctonng/yolov8-c4ce74",
      "title": "yolov8 c4ce74",
      "source": "live"
    },
    {
      "ref": "nguyenphiluan/yolov10-0d0bd4",
      "title": "yolov10 0d0bd4",
      "source": "live"
    },
    {
      "ref": "nguynvnhonganh/yolov8",
      "title": "yolov8",
      "source": "live"
    },
    {
      "ref": "quctonng/yolov8",
      "title": "yolov8",
      "source": "live"
    },
    {
      "ref": "thnhnamdng/yolov10",
      "title": "yolov10",
      "source": "live"
    },
    {
      "ref": "nguyenphiluan/yolov10",
      "title": "yolov10",
      "source": "live"
    },
    {
      "ref": "nguynvnhonganh/fusing-aug-610502",
      "title": "fusing +aug 610502",
      "source": "live"
    },
    {
      "ref": "buithanhxuan/vindrcxr-fusing-bboxes-yolo-dataset640px-16class",
      "title": "vindrcxr-fusing-bboxes-yolo-dataset640px-16class",
      "source": "live"
    },
    {
      "ref": "buithanhxuan/vindrcxr-fusing-bboxes-yolo-dataset640px",
      "title": "vindrcxr-fusing-bboxes-yolo-dataset640px",
      "source": "live"
    },
    {
      "ref": "buithanhxuan/vindrcxr-fusing-bboxes-yolo-dataset1280px",
      "title": "vindrcxr-fusing-bboxes-yolo-dataset1280px",
      "source": "live"
    },
    {
      "ref": "thnhnamdng/yoloforpre",
      "title": "yoloforpre",
      "source": "live"
    },
    {
      "ref": "nguynvnhonganh/train-2time",
      "title": "train 2time",
      "source": "live"
    },
    {
      "ref": "buithanhxuan/vinbigdata-fusing-bboxes-yolo-dataset-3labels",
      "title": "VinBigData - Fusing Bboxes + Yolo Dataset 3labels",
      "source": "live"
    },
    {
      "ref": "buithanhxuan/vinbigdata-fusing-bboxes-yolo-dataset",
      "title": "VinBigData - Fusing Bboxes + Yolo Dataset 🌟📉",
      "source": "live"
    },
    {
      "ref": "nguynvnhonganh/testyolo",
      "title": "testYOlo",
      "source": "live"
    },
    {
      "ref": "nguynvnhonganh/fusing-aug",
      "title": "fusing+ aug",
      "source": "live"
    },
    {
      "ref": "avasaeidvafa/yolov5ln",
      "title": "yolov5ln",
      "source": "live"
    },
    {
      "ref": "prashanthloveshetti/yolo-v8",
      "title": "Yolo V8",
      "source": "live"
    },
    {
      "ref": "adarshbhandarii/vinbigdata-cxr-ad-yolov5-14-class-train",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train]",
      "source": "live"
    },
    {
      "ref": "okanalageyik/tf2-object-detection-api-efficientdet-b0-omers",
      "title": "TF2 Object Detection API - EfficientDet-B0 omers",
      "source": "live"
    },
    {
      "ref": "mersava/tf2-object-detection-api-efficientdet-b0",
      "title": "TF2 Object Detection API - EfficientDet-B0",
      "source": "live"
    },
    {
      "ref": "huynhanhhuyk17ct/dbm-g1-lab-4",
      "title": "dbm G1 lab 4",
      "source": "live"
    },
    {
      "ref": "asifimrul/yolo-v9-end-to-end-implementation",
      "title": "Yolo_V9_End_To_ENd_Implementation",
      "source": "live"
    },
    {
      "ref": "mahmudwasif/vinbigdata-cxr-ad-yolov5-14-class-infer-f2d2ca",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [infer] f2d2ca",
      "source": "live"
    },
    {
      "ref": "istiyaque6ty3/final-vinbigdata-cxr-ad-yolov8",
      "title": "Final VinBigData-CXR-AD YOLOv8",
      "source": "live"
    },
    {
      "ref": "istiyaque6ty3/final-vinbigdata-cxr-ad-yolov9",
      "title": "Final VinBigData-CXR-AD YOLOv9",
      "source": "live"
    },
    {
      "ref": "bihalneupane/transform-vinbigdata-chest-x-ray-to-yolo-format",
      "title": "Transform VinBigData Chest X-ray to YOLO Format",
      "source": "live"
    },
    {
      "ref": "arshmanr/fyp-it-8-spring2024",
      "title": "FYP IT-8 Spring2024",
      "source": "live"
    },
    {
      "ref": "melodiesofthemoon/coatnet-vinbigdata-ml-balanced",
      "title": "CoatNet_VINBIGDATA_ML_BALANCED",
      "source": "live"
    },
    {
      "ref": "radiodiagnostica/notebook200225dc51",
      "title": "notebook200225dc51",
      "source": "live"
    },
    {
      "ref": "sunnyrishyvardhan/april-9-swin-unetr-vinbigdata-ml-ipynb-cont",
      "title": "april-9-swin-unetr-vinbigdata-ml.ipynb (Cont)",
      "source": "live"
    },
    {
      "ref": "melodiesofthemoon/april-9-davitbase-unetr-vinbigdata-ml",
      "title": "April_9_DaViTBase_UNetr_VINBIGDATA_ML",
      "source": "live"
    },
    {
      "ref": "prudhvirajkalakonda/4april-vinbigdata-maxvit-balanced",
      "title": "4April_VinBigData_MaxVit(Balanced)",
      "source": "live"
    },
    {
      "ref": "prudhvi420145/4april-vinbigdata-efficientvit-balanced",
      "title": "4April_VinBigData_EfficientViT(Balanced)",
      "source": "live"
    },
    {
      "ref": "prudhvi420145/4april-vinbigdata-pvt-balanced",
      "title": "4April_VinBigData_PVT(Balanced)",
      "source": "live"
    },
    {
      "ref": "kalakondaprudhviraj/4april-vinbigdata-davit-balanced",
      "title": "4April_VinBigData_DaViT(Balanced)",
      "source": "live"
    },
    {
      "ref": "prudhvirajkalakonda/4april-vingbigdata-mvit-balanced",
      "title": "4April_VingBigData_MViT(balanced)",
      "source": "live"
    },
    {
      "ref": "kalakondaprudhviraj/4april-vinbigdata-swintransformer-balanced",
      "title": "4April_VinBigData_SwinTransformer(balanced)",
      "source": "live"
    },
    {
      "ref": "prudhvi420145/4april-vinbigdata-densenet-balanced-data",
      "title": "4April_VinBigData_DenseNet(Balanced Data)",
      "source": "live"
    },
    {
      "ref": "prudhvi420145/4april-vinbigdata-convnext-balanced",
      "title": "4April_VinBigData_ConvNext(balanced)",
      "source": "live"
    },
    {
      "ref": "prudhvirajkalakonda/4april-vinbigdata-coatnet-balanced-data",
      "title": "4April_VinBigData_CoatNet(Balanced data)",
      "source": "live"
    },
    {
      "ref": "kalakondaprudhviraj/4april-vingbigdata-resnet-balanced",
      "title": "4April-vingbigdata Resnet (balanced)",
      "source": "live"
    },
    {
      "ref": "kalakondaprudhviraj/4april-vinbigdata-efficientnet-multilabel-bal",
      "title": "4April vinbigdata efficientnet multilabel Bal",
      "source": "live"
    },
    {
      "ref": "prudhvirajkalakonda/4april-vinbigdata-vgg19-multilabel-bal",
      "title": "4April vinbigdata vgg19 multilabel bal",
      "source": "live"
    },
    {
      "ref": "aagamb/federated",
      "title": "federated",
      "source": "live"
    },
    {
      "ref": "shubhamgandhi02/scam-fl",
      "title": "scam fl",
      "source": "live"
    },
    {
      "ref": "rahulsingh04/yolo-v9-end-to-end-implementation",
      "title": "Yolo_V9_End_To_ENd_Implementation",
      "source": "live"
    },
    {
      "ref": "ppxndpxdd/vin-yolo",
      "title": "vin_yolo",
      "source": "live"
    },
    {
      "ref": "redwanahmedrony/chest-anomaly-detection",
      "title": "Chest Anomaly Detection",
      "source": "live"
    },
    {
      "ref": "gabrielmaire/original-sizes-csv",
      "title": "original sizes csv",
      "source": "live"
    },
    {
      "ref": "gabrielmaire/image-transformation",
      "title": "Image Transformation",
      "source": "live"
    },
    {
      "ref": "aritradasray/image-data-pre-processing",
      "title": "Image data pre-processing",
      "source": "live"
    },
    {
      "ref": "gabrielmaire/data-preparation",
      "title": "data preparation",
      "source": "live"
    },
    {
      "ref": "raffdoc/cnn-with-lightning",
      "title": "CNN with lightning",
      "source": "live"
    },
    {
      "ref": "aagamb/yolov-v7-vinbigdata",
      "title": "Yolov v7 Vinbigdata",
      "source": "live"
    },
    {
      "ref": "repk1124/lung-yolov8",
      "title": "Lung YOLOv8",
      "source": "live"
    },
    {
      "ref": "bachngoh/medical-image-processing",
      "title": "Medical Image Processing",
      "source": "live"
    },
    {
      "ref": "kiranneupane007/maskrcnn-for-chest-x-ray-anomaly-detection",
      "title": "MaskRCNN for Chest X-ray Anomaly Detection",
      "source": "live"
    },
    {
      "ref": "spritan1/vindr-processing",
      "title": "Vindr Processing",
      "source": "live"
    },
    {
      "ref": "manchunhui/vinbigdata-resize-1024-image-dataset",
      "title": "VinBigData: Resize 1024 Image Dataset",
      "source": "live"
    },
    {
      "ref": "manchunhui/vinbigdata-resize-512-image-dataset",
      "title": "VinBigData: Resize 512 Image Dataset",
      "source": "live"
    },
    {
      "ref": "manchunhui/vinbigdata-yolov5-format-label-dataset",
      "title": "VinBigData: YOLOv5 Format Label Dataset",
      "source": "live"
    },
    {
      "ref": "hryan007/vinbig-data",
      "title": "Vinbig_data",
      "source": "live"
    },
    {
      "ref": "phngnguynhu/vinbigdata-detectron2-prediction",
      "title": "📸VinBigData detectron2 prediction",
      "source": "live"
    },
    {
      "ref": "srijanseal/yolo-training-and-cross-validation",
      "title": "Yolo Training and cross validation",
      "source": "live"
    },
    {
      "ref": "thanhdungcr7/detr-thoracic-abnormalities-detection",
      "title": "DETR_thoracic_abnormalities_detection",
      "source": "live"
    },
    {
      "ref": "phngnguynhu/vinbigdata-chest-x-ray",
      "title": "Vinbigdata - Chest X-ray",
      "source": "live"
    },
    {
      "ref": "murtadhayaseen/vinxray-detector",
      "title": "VinXRAY_Detector",
      "source": "live"
    },
    {
      "ref": "derekxue/vinbigdatachestrayfastai",
      "title": "vinbigdatachestrayfastai",
      "source": "live"
    },
    {
      "ref": "anshikavashishtha/anshikav-project1",
      "title": "anshikav(project1)",
      "source": "live"
    },
    {
      "ref": "nimssolanki/task2-nidhi",
      "title": "Task2,Nidhi",
      "source": "live"
    },
    {
      "ref": "nimssolanki/task-2-nidhi",
      "title": "TASK-2,Nidhi",
      "source": "live"
    },
    {
      "ref": "snowyouo/vinbigdata-cxr-ad-yolov5-14-class-train",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train]",
      "source": "live"
    },
    {
      "ref": "ummarakhan/yolo-v5-code",
      "title": "yolo v5 code ",
      "source": "live"
    },
    {
      "ref": "abdelmomenmustafa/yolov5-vinbigdata",
      "title": "Yolov5-VinBigData",
      "source": "live"
    },
    {
      "ref": "gaurav0205/vinbigdata-cxr-ad-yolov5-14-class-train",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train]",
      "source": "live"
    },
    {
      "ref": "mohamedeldakrory8/vinbigdata-cxr-ad-yolov5",
      "title": "VinBigData-CXR-AD YOLOv5 ",
      "source": "live"
    },
    {
      "ref": "theolange/ai-vinbigdata-visualisation",
      "title": "AI_VinBigData_Visualisation",
      "source": "live"
    },
    {
      "ref": "marshath/valleydao-vinbigdata-classification",
      "title": "valleydao_VinBigData_Classification",
      "source": "live"
    },
    {
      "ref": "galenchen/vindr-cxr-metadata-extraction",
      "title": "VinDr-CXR metadata extraction",
      "source": "live"
    },
    {
      "ref": "l1875699404/chest-x-ray-yolov5",
      "title": "Chest X-ray yolov5",
      "source": "live"
    },
    {
      "ref": "abhishekroy2006/prady-resunet-model-vinbigdata-c46353",
      "title": " Prady_ResUnet_Model_vinbigdata c46353",
      "source": "live"
    },
    {
      "ref": "pradyumanmohani/fork-of-prady-resunet-model-vinbigdata",
      "title": "Fork of  Prady_ResUnet_Model_vinbigdata",
      "source": "live"
    },
    {
      "ref": "pradyumnamohani/fork-of-prady-resunet-model-vinbigdata",
      "title": "Fork of  Prady_ResUnet_Model_vinbigdata",
      "source": "live"
    },
    {
      "ref": "pradyumnamohani/prady-resunet-model-vinbigdata",
      "title": " Prady_ResUnet_Model_vinbigdata",
      "source": "live"
    },
    {
      "ref": "pradyumnamohani/vgg16-prady-chest-x-ray",
      "title": "VGG16_prady_chest X-ray",
      "source": "live"
    },
    {
      "ref": "t3sting/vinbigdata-chest-x-ray-abnormalities-detection",
      "title": "VinBigData Chest X-ray Abnormalities Detection",
      "source": "live"
    },
    {
      "ref": "huyhuynhhoang/train-vinbigdata-detectron2-weights-and-biases",
      "title": "[Train]VinBigData detectron2 + weights and biases",
      "source": "live"
    },
    {
      "ref": "t3sting/vbd-efficientdet-tf2-object-detection-api-0a338d",
      "title": "⚡VBD EfficientDET TF2 Object Detection API⚡ 0a338d",
      "source": "live"
    },
    {
      "ref": "t3sting/vinbigdata-fusing-bboxes-coco-dataset",
      "title": "VinBigData - Fusing Bboxes + Coco Dataset 🌟📉",
      "source": "live"
    },
    {
      "ref": "ntchtk/bboxkaggle",
      "title": "bboxkaggle",
      "source": "live"
    },
    {
      "ref": "cxx5208/ml-2-411943",
      "title": "ML_2@411943",
      "source": "live"
    },
    {
      "ref": "sarasasaikrishna/notebook920bd6a6f4",
      "title": "notebook920bd6a6f4",
      "source": "live"
    },
    {
      "ref": "vrufus/notebookf29b13a459",
      "title": "notebookf29b13a459",
      "source": "live"
    },
    {
      "ref": "lintuoommen/yolov-v7-vinbigdata",
      "title": "Yolov v7 Vinbigdata",
      "source": "live"
    },
    {
      "ref": "hassansanaullah/oneclasssvm",
      "title": "OneClassSvm",
      "source": "live"
    },
    {
      "ref": "andepoojapraphulla/0-284rcnn-norm-14class-1",
      "title": "0.284rcnn norm+14class 1",
      "source": "live"
    },
    {
      "ref": "ibrahimehmed/chest-fix",
      "title": "chest_fix",
      "source": "live"
    },
    {
      "ref": "amnabibi14/chest-fix",
      "title": "chest_fix",
      "source": "live"
    },
    {
      "ref": "npriyaa/faster-r-cnn-model",
      "title": "Faster R-CNN Model",
      "source": "live"
    },
    {
      "ref": "dharani9183/bounding-box-images",
      "title": "Bounding box images",
      "source": "live"
    },
    {
      "ref": "poojasaianand/yolo-training-and-cross-validation",
      "title": "Yolo Training and cross validation",
      "source": "live"
    },
    {
      "ref": "faiyamislam/yolo-implementation-and-inference",
      "title": "YOLO Implementation and Inference",
      "source": "live"
    },
    {
      "ref": "pranjalpruthi/yolov5-chest-512",
      "title": "yolov5_chest_512",
      "source": "live"
    },
    {
      "ref": "phanquangthi/51900214-51900053-fasterrcnn",
      "title": "51900214_51900053_FasterRCNN",
      "source": "live"
    },
    {
      "ref": "phanquangthi/51900214-51900053-bai2-yolov5",
      "title": "51900214_51900053_Bai2_YOLOv5",
      "source": "live"
    },
    {
      "ref": "datntrong/vinbigdata-cxr-ad-yolov5-14-class-train",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train]",
      "source": "live"
    },
    {
      "ref": "proggaabonti/eda-vinbigdata-chest-x-ray-abnormalities-594d70",
      "title": "EDA - VinBigData Chest X-ray Abnormalities 594d70",
      "source": "live"
    },
    {
      "ref": "progbar/eda-vinbigdata-chest-x-ray-abnormalities",
      "title": "EDA - VinBigData Chest X-ray Abnormalities",
      "source": "live"
    },
    {
      "ref": "kristysaha/vinbigdata-vgg19",
      "title": "VinBigData_VGG19",
      "source": "live"
    },
    {
      "ref": "nguyentrongduy/fork-of-vinbigdata-chest-x-ray-detection",
      "title": "Fork of VinBigData Chest X-ray Detection",
      "source": "live"
    },
    {
      "ref": "duydattqta13/7-homework-2stagesdetection",
      "title": "7.HomeWork_2stagesDetection",
      "source": "live"
    },
    {
      "ref": "jigglediggle1/vinbigdata-chest-xray",
      "title": "vinbigdata_chest_xray",
      "source": "live"
    },
    {
      "ref": "lhd0430/vinbigdata-chest-x-ray-abnormalities-detection",
      "title": "VinBigData Chest X-ray Abnormalities Detection",
      "source": "live"
    },
    {
      "ref": "univanxx/chest-xray-8-nih-dataset-with-detectron2",
      "title": "Chest Xray-8 (NIH dataset) with detectron2",
      "source": "live"
    },
    {
      "ref": "howard527/vinbigdata-cxr-ad-yolov5-14-class-train",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train]",
      "source": "live"
    },
    {
      "ref": "priyanshb19cse067/notebookbe080d43f8",
      "title": "notebookbe080d43f8",
      "source": "live"
    },
    {
      "ref": "justin95214gmailcom/efficientdet-d4-train-inference",
      "title": "efficientdet d4 train+inference",
      "source": "live"
    },
    {
      "ref": "joicejoseph/lungopacity-fasterrcnn-train",
      "title": "LungOpacity - FasterRCNN Train",
      "source": "live"
    },
    {
      "ref": "abebe9849/yolox-vinbig",
      "title": "yolox_vinbig",
      "source": "live"
    },
    {
      "ref": "nhthunhhong/vinbigdata-cxr-ad-yolov5-14-class-train",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train]",
      "source": "live"
    },
    {
      "ref": "pvtien96/visual-in-depth-eda-vinbigdata-competition-data",
      "title": "Visual In-Depth EDA – VinBigData Competition Data",
      "source": "live"
    },
    {
      "ref": "pvtien96/convert-dicom-to-np-array-the-correct-way",
      "title": "Convert dicom to np.array - the correct way",
      "source": "live"
    },
    {
      "ref": "sanskar1504/vinbigdata",
      "title": "vinbigdata",
      "source": "live"
    },
    {
      "ref": "anaselmasry/chest-x-ray-abnormalities-detection",
      "title": "Chest X-ray Abnormalities Detection",
      "source": "live"
    },
    {
      "ref": "nhthunhhong/vin-ai-bigdata",
      "title": "Vin_AI_BigData",
      "source": "live"
    },
    {
      "ref": "jackpodkim/vinbigdata-resize-and-normalize",
      "title": "vinbigdata resize and normalize",
      "source": "live"
    },
    {
      "ref": "mostafa3wahmed/chestx-ray-mostafa",
      "title": "ChestX-ray _mostafa",
      "source": "live"
    },
    {
      "ref": "shivamkc3/chest-xray-abnormalities-detection-creating-folds",
      "title": "chest-xray-abnormalities-detection_creating_folds",
      "source": "live"
    },
    {
      "ref": "nasrulhakim86/localize-thoracic-abnormalities",
      "title": "Localize thoracic abnormalities",
      "source": "live"
    },
    {
      "ref": "soomin123/210721-dicom",
      "title": "210721_DICOM",
      "source": "live"
    },
    {
      "ref": "prismwinter/vinbigdata-cxr-ad-yolov5-14-class-train",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train]",
      "source": "live"
    },
    {
      "ref": "akarshrastogi/kaggle-module-test",
      "title": "Kaggle_module_test",
      "source": "live"
    },
    {
      "ref": "tikoboss/images-extractor-script",
      "title": "Images Extractor Script",
      "source": "live"
    },
    {
      "ref": "ahmedsabrytamam/eda-solution",
      "title": "EDA Solution",
      "source": "live"
    },
    {
      "ref": "abhishekprajapat/analysing-effects-of-pretraining",
      "title": "Analysing Effects of Pretraining",
      "source": "live"
    },
    {
      "ref": "monahendawi/vinbigdata-cxr-ad-yolov5",
      "title": "VinBigData-CXR-AD YOLOv5 ",
      "source": "live"
    },
    {
      "ref": "monahendawi/yolov5-chest-512",
      "title": "yolov5_chest_512",
      "source": "live"
    },
    {
      "ref": "minhvuvn/vinbigdata-2-class-classifier-complete-pipeline",
      "title": "📸VinBigData 2-class classifier complete pipeline",
      "source": "live"
    },
    {
      "ref": "oferspivak/detectron2-floor-plan-train",
      "title": "📸detectron2 floor plan train",
      "source": "live"
    },
    {
      "ref": "millenajena1/eda-solution",
      "title": "EDA Solution",
      "source": "live"
    },
    {
      "ref": "ankit0204/eda-solution",
      "title": "EDA Solution",
      "source": "live"
    },
    {
      "ref": "kostiantynperun/chest-x-ray-starter",
      "title": "Chest_X-ray_Starter",
      "source": "live"
    },
    {
      "ref": "stamatelou/detr-thoracic-abnormalities-detection",
      "title": "DETR_thoracic_abnormalities_detection",
      "source": "live"
    },
    {
      "ref": "rossrobotics/identifying-abnormalities-in-chest-xrays-using-rpn",
      "title": "Identifying Abnormalities In Chest XRays using RPN",
      "source": "live"
    },
    {
      "ref": "eunicepark0328/pytorch-fasterrcnn-with-group-kfold-14-class",
      "title": "Pytorch FasterRCNN with Group KFOLD - 14 class",
      "source": "live"
    },
    {
      "ref": "manhduong199/chestx-ray",
      "title": "ChestX-ray ",
      "source": "live"
    },
    {
      "ref": "minhnghia/ai-tdm",
      "title": "AI TDM",
      "source": "live"
    },
    {
      "ref": "nipawar/vinbigdata-chest-x-ray-ensembling-approach",
      "title": "VinBigData Chest-X-ray: Ensembling approach",
      "source": "live"
    },
    {
      "ref": "juliozambranoxyz/chest-x-ray-vinbigdata-2-class-versiongg",
      "title": "📸Chest X-ray VinBigData 2-class_versiongg",
      "source": "live"
    },
    {
      "ref": "nipawar/vinbigdata-detectron2-prediction-model",
      "title": "Vinbigdata detectron2 prediction model",
      "source": "live"
    },
    {
      "ref": "erniechiew/vinbigdata-3rd-place-sol-cls10-replacement",
      "title": "vinbigdata_3rd_place_sol_cls10_replacement",
      "source": "live"
    },
    {
      "ref": "ivanpan/fork-of-vinbindata-inference-2nd-place-53bee2",
      "title": "Fork of VinBinData inference (2nd place)  53bee2",
      "source": "live"
    },
    {
      "ref": "kc3222/final-vinbigdata-2-class-filter",
      "title": "Final Vinbigdata 2 Class Filter",
      "source": "live"
    },
    {
      "ref": "kc3222/final-vinbigdata-detectron2-prediction",
      "title": "Final Vinbigdata detectron2 prediction",
      "source": "live"
    },
    {
      "ref": "kc3222/final-vinbigdata-cxr-ad-yolov5-v4-0-infer",
      "title": "Final VinBigData-CXR-AD YOLOv5_v4.0 [infer]",
      "source": "live"
    },
    {
      "ref": "zfturbo/retinanet-results-ensemble",
      "title": "RetinaNet Results ensemble",
      "source": "live"
    },
    {
      "ref": "zfturbo/inference-zfturbo-retina-2-fold-4",
      "title": "Inference ZFTurbo (Retina 2, Fold 4)",
      "source": "live"
    },
    {
      "ref": "zfturbo/inference-zfturbo-retina-2-fold-3",
      "title": "Inference ZFTurbo (Retina 2, Fold 3)",
      "source": "live"
    },
    {
      "ref": "zfturbo/inference-zfturbo-retina-2-fold-2",
      "title": "Inference ZFTurbo (Retina 2, Fold 2)",
      "source": "live"
    },
    {
      "ref": "zfturbo/inference-zfturbo-retina-2-fold-1",
      "title": "Inference ZFTurbo (Retina 2, Fold 1)",
      "source": "live"
    },
    {
      "ref": "zfturbo/inference-zfturbo-retina-2-fold-0",
      "title": "Inference ZFTurbo (Retina 2, Fold 0)",
      "source": "live"
    },
    {
      "ref": "zfturbo/inference-zfturbo-retina-1-fold-4",
      "title": "Inference ZFTurbo (Retina 1, Fold 4)",
      "source": "live"
    },
    {
      "ref": "zfturbo/inference-zfturbo-retina-1-fold-3",
      "title": "Inference ZFTurbo (Retina 1, Fold 3)",
      "source": "live"
    },
    {
      "ref": "zfturbo/inference-zfturbo-retina-1-fold-2",
      "title": "Inference ZFTurbo (Retina 1, Fold 2)",
      "source": "live"
    },
    {
      "ref": "zfturbo/inference-zfturbo-retina-1-fold-1",
      "title": "Inference ZFTurbo (Retina 1, Fold 1)",
      "source": "live"
    },
    {
      "ref": "zfturbo/yolo-v5-merge-predictions-zfturbo",
      "title": "Yolo v5 merge predictions zfturbo",
      "source": "live"
    },
    {
      "ref": "erniechiew/vinbigdata-3rd-place-sol-aortic-specialist",
      "title": "vinbigdata_3rd_place_sol_aortic_specialist",
      "source": "live"
    },
    {
      "ref": "zfturbo/yolo-v5-zfturbo-code",
      "title": "Yolo_v5 ZFTurbo Code",
      "source": "live"
    },
    {
      "ref": "kyawkyaw/vinbigdata-x-ray-chest-abnormalities-detection",
      "title": "Vinbigdata X-Ray Chest Abnormalities Detection",
      "source": "live"
    },
    {
      "ref": "zfturbo/inference-zfturbo-retina-1-fold-0",
      "title": "Inference ZFTurbo (Retina 1, Fold 0)",
      "source": "live"
    },
    {
      "ref": "kyawkyaw/vinbigdata-chest-x-ray-abnormalities-classifier",
      "title": "VinBigdata Chest X_Ray Abnormalities Classifier",
      "source": "live"
    },
    {
      "ref": "ankit0204/eda-jcomp",
      "title": "EDA_JComp",
      "source": "live"
    },
    {
      "ref": "socom20/ensemble-323",
      "title": "Ensemble_323",
      "source": "live"
    },
    {
      "ref": "morizin/fork-of-wbf-ensemble-d64644",
      "title": "Fork of WBF Ensemble d64644",
      "source": "live"
    },
    {
      "ref": "fatihozturk/vinbigdata-2-class-classifier-complete-pi-b90290",
      "title": "📸VinBigData 2-class classifier complete pi b90290",
      "source": "live"
    },
    {
      "ref": "morizin/ensemble331-remake",
      "title": "Ensemble331_Remake",
      "source": "live"
    },
    {
      "ref": "virajkadam/x-ray-reading-and-bounding-boxes",
      "title": "X-ray Reading and Bounding Boxes.",
      "source": "live"
    },
    {
      "ref": "socom20/effdet-v2",
      "title": "EffDet_v2",
      "source": "live"
    },
    {
      "ref": "morizin/vinbigdata-yolo-training",
      "title": "vinbigdata yolo training",
      "source": "live"
    },
    {
      "ref": "socom20/effdet-inference",
      "title": "Effdet_inference",
      "source": "live"
    },
    {
      "ref": "ricafernandes/vinbigdata-process-and-resize-to-png-384x384",
      "title": "VinBigData: Process and resize to PNG (384x384)",
      "source": "live"
    },
    {
      "ref": "h053473666/0-286-norm-15class",
      "title": "0.286 norm+15class",
      "source": "live"
    },
    {
      "ref": "fatihozturk/class-based-fusing",
      "title": "Class based fusing",
      "source": "live"
    },
    {
      "ref": "sunghyunjun/91th-place-vbd-inference-clf-det-and-det-all",
      "title": "91th place VBD inference CLF DET and DET ALL",
      "source": "live"
    },
    {
      "ref": "sanjayarvind/fasterrcnn-pytorch-lightning",
      "title": "FasterRCNN Pytorch Lightning",
      "source": "live"
    },
    {
      "ref": "giaminhhoang/vinbigdata-final-train-version",
      "title": "VinBigData Final Train Version",
      "source": "live"
    },
    {
      "ref": "nobatgeldi/vinbigdata-chest-x-ray-abnormalities-detection",
      "title": "VinBigData Chest X-ray Abnormalities Detection",
      "source": "live"
    },
    {
      "ref": "minhvuvn/dicom-wrangling-and-enhancement",
      "title": "DICOM Wrangling and Enhancement",
      "source": "live"
    },
    {
      "ref": "gauravsingh1/mmdet-cascadercnnx",
      "title": "MMDET CascadeRCNNX",
      "source": "live"
    },
    {
      "ref": "rbhambri/prediction-pipeline-densenet-model-on-test",
      "title": "prediction pipeline densenet model on test",
      "source": "live"
    },
    {
      "ref": "ricafernandes/detectron-v2-inference",
      "title": "Detectron v2 - Inference",
      "source": "live"
    },
    {
      "ref": "h053473666/0-284rcnn-norm-14class-1",
      "title": "0.284rcnn norm+14class 1",
      "source": "live"
    },
    {
      "ref": "adebayo/vinbigdata-detecting-chest-x-ray-abnormalies",
      "title": "VinBigData Detecting Chest X-Ray Abnormalies",
      "source": "live"
    },
    {
      "ref": "hvnhin/tf-train",
      "title": "tf-train",
      "source": "live"
    },
    {
      "ref": "giaminhhoang/vinbigdata-yolov5-train",
      "title": "VinBigData YOLOv5 [Train]",
      "source": "live"
    },
    {
      "ref": "maudcharbonneau/vinbigdata-chest-x-ray-eda-efficientnetb0",
      "title": "VinBigData Chest-X-ray: EDA + EfficientNetB0",
      "source": "live"
    },
    {
      "ref": "vbmokin/ensemble-of-best-notebooks-tuning-by-lb-private",
      "title": "Ensemble of best notebooks - tuning by LB private",
      "source": "live"
    },
    {
      "ref": "alyzehfahim/notebook9267e869bf",
      "title": "notebook9267e869bf",
      "source": "live"
    },
    {
      "ref": "khaledmgamal/classifier-2-classes-vinbigdata",
      "title": "classifier_2_classes_vinbigdata",
      "source": "live"
    },
    {
      "ref": "huynhmanhhung/huynhmanhhungcxr-ad-yolov5-14-class-train",
      "title": "HuynhManhHungCXR-AD YOLOv5 14 Class [train]",
      "source": "live"
    },
    {
      "ref": "shash152543/trying",
      "title": "Trying--->",
      "source": "live"
    },
    {
      "ref": "klawensliu/vinbigdata-train-efficientnet-2-classes",
      "title": "[VinBigData]-Train-EfficientNet-2-classes",
      "source": "live"
    },
    {
      "ref": "gauravsingh1/mmdet-classification-resnext",
      "title": "MMDET classification_ResNext",
      "source": "live"
    },
    {
      "ref": "hammadhsn/test-x-ray",
      "title": "test x ray",
      "source": "live"
    },
    {
      "ref": "sapthrishi007/torch-trainer-cbamresnet50-gradcam",
      "title": "Torch-trainer-CbamResnet50_GradCAM🔥🔥",
      "source": "live"
    },
    {
      "ref": "kc3222/mmdet-pytorch-framework-infer-vfnet",
      "title": "MMDET(pytorch) Framework Infer: VFNet",
      "source": "live"
    },
    {
      "ref": "mahmudds/vinbigdata-chest-x-ray-abnormalities-detection",
      "title": "VinBigData Chest X-ray Abnormalities Detection",
      "source": "live"
    },
    {
      "ref": "yohehe/2-1-model-train-with-efficientdet-pytorch",
      "title": "2.1. model_train with efficientdet-pytorch",
      "source": "live"
    },
    {
      "ref": "shemskurtoglu/chest-xray-abnormalities-detection",
      "title": "chest-xray-abnormalities-detection",
      "source": "live"
    },
    {
      "ref": "akhileshdkapse/learn-image-embedding-via-unet-tpu-part-i",
      "title": "Learn Image Embedding⚛️via UNet [TPU] PART-i",
      "source": "live"
    },
    {
      "ref": "kanhaiyapandey/vin-bid2",
      "title": "vin bid2",
      "source": "live"
    },
    {
      "ref": "sandeepritu/zero-from-dicom-to-jpeg",
      "title": "zero_from_dicom_to_jpeg",
      "source": "live"
    },
    {
      "ref": "saurabhbagchi/ensemble-of-best-public-notebooks",
      "title": "Ensemble of best public notebooks",
      "source": "live"
    },
    {
      "ref": "yohehe/1-data-augmentation",
      "title": "1.Data_Augmentationまで",
      "source": "live"
    },
    {
      "ref": "leesmallustc/chest-fix-b7b03d",
      "title": "chest_fix b7b03d",
      "source": "live"
    },
    {
      "ref": "explorerboi/vinbig-2-class-train-main",
      "title": "VinBig: 2 Class Train Main",
      "source": "live"
    },
    {
      "ref": "explorerboi/detectron-2-2nd-attempt",
      "title": "Detectron 2: 2nd Attempt",
      "source": "live"
    },
    {
      "ref": "mesparky/vinbigdata-chest-xray-object-detection",
      "title": "vinBigData-chest_xray_object_detection",
      "source": "live"
    },
    {
      "ref": "explorerboi/detectron2-train-main",
      "title": "Detectron2: Train Main",
      "source": "live"
    },
    {
      "ref": "tanguyperennec/post-prod",
      "title": "post prod",
      "source": "live"
    },
    {
      "ref": "h053473666/0318-5",
      "title": "0318 5",
      "source": "live"
    },
    {
      "ref": "morizin/vinbigdata-cxr-ad-yolov5-14-class-infer-184dd1",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [infer] 184dd1",
      "source": "live"
    },
    {
      "ref": "adiganti/eda-jcomp",
      "title": "EDA_JComp",
      "source": "live"
    },
    {
      "ref": "rajuyadav7532/simple-eda-pre-processing-detection-model",
      "title": "Simple_eda_pre_processing_detection_model",
      "source": "live"
    },
    {
      "ref": "muhammad4hmed/lets-overfit-together",
      "title": "Lets overfit together",
      "source": "live"
    },
    {
      "ref": "explorerboi/vinbig-yolo-train",
      "title": "VinBig YOLO Train",
      "source": "live"
    },
    {
      "ref": "readoc/vinbig-yolo-train",
      "title": "VinBig YOLO Train",
      "source": "live"
    },
    {
      "ref": "rxngrxng/faster-r-cnn",
      "title": "Faster R-CNN",
      "source": "live"
    },
    {
      "ref": "boringgame/chest-fix-b7b03d",
      "title": "chest_fix b7b03d",
      "source": "live"
    },
    {
      "ref": "c7934597/vinbigdata-2-class-classifier-complete-pipeline",
      "title": "📸VinBigData 2-class classifier complete pipeline",
      "source": "live"
    },
    {
      "ref": "seokhyunseo/let-s-use-artificial-dataset",
      "title": "let's use artificial dataset",
      "source": "live"
    },
    {
      "ref": "kyuhwanjung2/dl-03-14-03-21-03-25-03-31",
      "title": "DL - 03/14 +03/21 + 03/25 + 03/31",
      "source": "live"
    },
    {
      "ref": "raivokoot/plot-images-bounding-boxes-visualization",
      "title": "Plot Images + Bounding Boxes (Visualization)",
      "source": "live"
    },
    {
      "ref": "alyzehfahim/notebookf3034e8ea8",
      "title": "notebookf3034e8ea8",
      "source": "live"
    },
    {
      "ref": "himakshi2110/cropping-chest-xray-based-on-lungs-segmentation",
      "title": "Cropping Chest Xray based on lungs segmentation",
      "source": "live"
    },
    {
      "ref": "pvtien96/vinbigdata-2-class-classifier-complete-pipeline",
      "title": "📸VinBigData 2-class classifier complete pipeline",
      "source": "live"
    },
    {
      "ref": "pvtien96/vinbigdata-detectron2-prediction",
      "title": "📸VinBigData detectron2 prediction",
      "source": "live"
    },
    {
      "ref": "rajeshtata/tatarajesh-chest-x-ray",
      "title": "TataRajesh-Chest X-ray ",
      "source": "live"
    },
    {
      "ref": "himakshi2110/visualization-of-area-histogram-bounding-box",
      "title": "Visualization of area, histogram, bounding_box",
      "source": "live"
    },
    {
      "ref": "leftyork/chest-fix",
      "title": "chest_fix",
      "source": "live"
    },
    {
      "ref": "morizin/vinbigdata-cxr-ad-yolov5-14-class-train-4de71f",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train] 4de71f",
      "source": "live"
    },
    {
      "ref": "mohamedbakrey/analysis-reddit-vaccine-myths",
      "title": "Analysis Reddit Vaccine Myths",
      "source": "live"
    },
    {
      "ref": "darshanpatel11/2class-filter-on-yolo-v5-post-processing",
      "title": "2class filter on yolo v5 post processing",
      "source": "live"
    },
    {
      "ref": "duythanhng/vinbigdata-yolov5-16-class",
      "title": "Vinbigdata Yolov5 16 Class",
      "source": "live"
    },
    {
      "ref": "shashankrrr/notebook6cb204ceb4",
      "title": "notebook6cb204ceb4",
      "source": "live"
    },
    {
      "ref": "shaharaz/notebookf23353eb9d",
      "title": "notebookf23353eb9d",
      "source": "live"
    },
    {
      "ref": "yongbuyanqi/yolo-inference",
      "title": "yolo_inference",
      "source": "live"
    },
    {
      "ref": "boringgame/chest-fix",
      "title": "chest_fix",
      "source": "live"
    },
    {
      "ref": "prashantkikani/vinbigdata-ensemble-post-processing",
      "title": "VinBigData Ensemble + Post Processing",
      "source": "live"
    },
    {
      "ref": "yongbuyanqi/yolo-4",
      "title": "yolo_4",
      "source": "live"
    },
    {
      "ref": "zcsong/yolov5x6-train-afternms",
      "title": "yolov5x6-train-afterNMS",
      "source": "live"
    },
    {
      "ref": "yiqixue/vinbigdata-2-class-classifier-complete-pipeline",
      "title": "📸VinBigData 2-class classifier complete pipeline",
      "source": "live"
    },
    {
      "ref": "shayantaherian/pytorch-abnormality-detection",
      "title": "Pytorch_Abnormality_Detection",
      "source": "live"
    },
    {
      "ref": "finsker/statistics",
      "title": "statistics",
      "source": "live"
    },
    {
      "ref": "morizin/wbf-ensemble",
      "title": "WBF Ensemble",
      "source": "live"
    },
    {
      "ref": "morenovanton/vinbigdata-2class-classification-with-model-keras",
      "title": "VinBigData: 2class classification with Model keras",
      "source": "live"
    },
    {
      "ref": "johanngerberding/x-ray-analysis",
      "title": "x_ray_analysis",
      "source": "live"
    },
    {
      "ref": "nxhong93/yolov5-chest-512",
      "title": "yolov5_chest_512",
      "source": "live"
    },
    {
      "ref": "shantanu778/vinbigdata-train-yolo",
      "title": "vinbigdata_train_yolo",
      "source": "live"
    },
    {
      "ref": "ahmed94eldawy/vinbigdata-chest-x-ray-ensembling-approach",
      "title": "VinBigData Chest-X-ray: Ensembling approach",
      "source": "live"
    },
    {
      "ref": "gauravsingh1/confluence-new-way-for-fusing-bbox",
      "title": "Confluence: New Way For Fusing Bbox",
      "source": "live"
    },
    {
      "ref": "mostafaibrahim17/yolov5-with-2-class-filter",
      "title": "YoloV5 with 2-class filter",
      "source": "live"
    },
    {
      "ref": "morenovanton/vinbigdata-chest-x-ray-convert-resize-image-to-png",
      "title": "VinBigData Chest X-ray Convert resize image to PNG",
      "source": "live"
    },
    {
      "ref": "kyuhwanjung2/dl-03-04-03-09-03-14",
      "title": "DL-03/04 + 03/09 + 03/14",
      "source": "live"
    },
    {
      "ref": "robertlangdonvinci/fast-easy-vinbigdata-imgx512",
      "title": "Fast_Easy_VinBigData_IMGx512 ",
      "source": "live"
    },
    {
      "ref": "yehhuan/vinbigdata-detect-the-heart-and-lungs-use-fold-2",
      "title": "VinBigData-Detect the heart and lungs use fold 2 ",
      "source": "live"
    },
    {
      "ref": "soudainchat/eda-train-csv",
      "title": "EDA_train_csv",
      "source": "live"
    },
    {
      "ref": "witalia/vinbigdata-parse-dicom-tags",
      "title": "vinbigdata-parse-dicom-tags",
      "source": "live"
    },
    {
      "ref": "ivanivago/mmdet-pytorch-framework-training-fasterrcnn-base",
      "title": "MMDET(pytorch) Framework Training: FasterRCNN Base",
      "source": "live"
    },
    {
      "ref": "yujianxue/vinbigdata-yolov5-evaluation",
      "title": "VinBigData YOLOv5 evaluation",
      "source": "live"
    },
    {
      "ref": "h053473666/vinbigdata-detect-the-heart-and-lungs",
      "title": "VinBigData-Detect the heart and lungs",
      "source": "live"
    },
    {
      "ref": "skooch/vinbigdata-process-and-resize-to-png-1536x1536",
      "title": "VinBigData: Process and resize to PNG (1536x1536)",
      "source": "live"
    },
    {
      "ref": "seokhyunseo/let-s-use-mmdetections-different-models",
      "title": "Let's use MMDetections different models",
      "source": "live"
    },
    {
      "ref": "lqkustc/notebook9555a01720",
      "title": "notebook9555a01720",
      "source": "live"
    },
    {
      "ref": "khaledmgamal/detectron2-vinbigdata",
      "title": "Detectron2_VinBigData",
      "source": "live"
    },
    {
      "ref": "sj161199/vinbigdata-cxr-ad-yolov5-14-class-infer",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [infer]",
      "source": "live"
    },
    {
      "ref": "reyadhussien/pytorch-faster-rcnn",
      "title": "Pytorch : Faster RCNN",
      "source": "live"
    },
    {
      "ref": "ramitto/dicom-to-512jpg-test",
      "title": "DICOM_TO_512JPG_test",
      "source": "live"
    },
    {
      "ref": "sameensalam/dicom-2-png",
      "title": "DICOM_2_PNG",
      "source": "live"
    },
    {
      "ref": "abdelrahmanhabib/ensembling-approach",
      "title": "Ensembling approach",
      "source": "live"
    },
    {
      "ref": "lqkustc/mmdet-pytorch-framework-training-fasterrcnn-base",
      "title": "MMDET(pytorch) Framework Training: FasterRCNN Base",
      "source": "live"
    },
    {
      "ref": "toshihideyukitake/notebookd65c6571e1",
      "title": "notebookd65c6571e1",
      "source": "live"
    },
    {
      "ref": "h053473666/plot-bounding-box-1024-jpg",
      "title": "Plot bounding box 1024 jpg",
      "source": "live"
    },
    {
      "ref": "leftyork/tarin-module-mass",
      "title": "tarin module/mass",
      "source": "live"
    },
    {
      "ref": "kanhaiyapandey/vindata",
      "title": "vindata",
      "source": "live"
    },
    {
      "ref": "syrusmathew/syrus-mathew",
      "title": "Syrus_Mathew",
      "source": "live"
    },
    {
      "ref": "nxhong93/yolov5-train-1024",
      "title": "yolov5_train_1024",
      "source": "live"
    },
    {
      "ref": "duythanhng/take-the-average-of-the-coordinates-using-iou",
      "title": "Take the average of the coordinates using IOU",
      "source": "live"
    },
    {
      "ref": "tkarahan/chest-x-ray-abnormalities-detection-with-pytorch",
      "title": "Chest X-ray Abnormalities Detection with PyTorch",
      "source": "live"
    },
    {
      "ref": "prasrahul/vbd-efficientdet-tf2-object-detection-api",
      "title": "⚡VBD EfficientDET TF2 Object Detection API⚡📈",
      "source": "live"
    },
    {
      "ref": "madao233/vinbigdata-starter-ver-1-0",
      "title": "VinBigData-starter Ver 1.0",
      "source": "live"
    },
    {
      "ref": "rbhambri/chest-x-ray-abnormalities-densenet-pipeline",
      "title": "Chest X-ray abnormalities: densenet pipeline",
      "source": "live"
    },
    {
      "ref": "anirbansen3027/vinbigdata-fasterrcnn-beginner-v1",
      "title": "VinBigData | FasterRCNN Beginner v1",
      "source": "live"
    },
    {
      "ref": "gauravsingh1/mmdet-eval-fasterrcnn-with-wbf",
      "title": "MMDET Eval: FasterRCNN With WBF",
      "source": "live"
    },
    {
      "ref": "ramitto/dicom-to-512jpg-train",
      "title": "DICOM_TO_512JPG_train",
      "source": "live"
    },
    {
      "ref": "crained/vinbigdata-fastai-get-started",
      "title": "VinBigData fastai get started",
      "source": "live"
    },
    {
      "ref": "nandini1999/chest-xray-abnormalities-get-started-with-eda",
      "title": "Chest-XRay Abnormalities: Get Started with EDA 📌",
      "source": "live"
    },
    {
      "ref": "nobatgeldi/vinbigdata-class-classifier",
      "title": "VinBigData - Class Classifier ",
      "source": "live"
    },
    {
      "ref": "debarshichanda/seresnext50-but-with-attention",
      "title": "Seresnext50 But with Attention 🔥",
      "source": "live"
    },
    {
      "ref": "kuuuuub/which-x-ray-preprocessing-performs-well",
      "title": "Which X-ray preprocessing performs well?",
      "source": "live"
    },
    {
      "ref": "anhnglinh/abnormalities-detection-using-yolov4",
      "title": "Abnormalities Detection Using YOLOv4",
      "source": "live"
    },
    {
      "ref": "jamsilkaggle/vinbigdata-yolov5-evaluation",
      "title": "VinBigData YOLOv5 evaluation",
      "source": "live"
    },
    {
      "ref": "chekoduadarsh/pytorch-beginner-code-faster-rcnn",
      "title": "Pytorch Beginner Code : Faster RCNN",
      "source": "live"
    },
    {
      "ref": "corochann/preprocessing-image-original-size-lossless-png",
      "title": "Preprocessing image: original size, lossless png",
      "source": "live"
    },
    {
      "ref": "nabilatasnim/ensemble-of-4-models",
      "title": "Ensemble_of_4_models",
      "source": "live"
    },
    {
      "ref": "muhammadhamzasabir/dicom-to-array",
      "title": "Dicom to Array",
      "source": "live"
    },
    {
      "ref": "nabilatasnim/inception-resnet-v2",
      "title": "inception_resnet_v2",
      "source": "live"
    },
    {
      "ref": "mrinath/2-class-classifier-pipeline-using-effnet",
      "title": "2 class classifier pipeline using Effnet",
      "source": "live"
    },
    {
      "ref": "leftyork/vinbigdata-cxr-ad-yolov5-14-class-infer-f2d2ca",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [infer] f2d2ca",
      "source": "live"
    },
    {
      "ref": "boringregister/vinbigdata-cxr-ad-yolov5-14-class-infer",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [infer]",
      "source": "live"
    },
    {
      "ref": "boringgame/tarin-module-mass",
      "title": "tarin module/mass",
      "source": "live"
    },
    {
      "ref": "leftyork/vinbigdata-cxr-ad-yolov5-14-class-train-f9ce38",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train] f9ce38",
      "source": "live"
    },
    {
      "ref": "anirbansen3027/vinbigdata-binaryclassificationpytorch-v1",
      "title": "VinBigData-BinaryClassificationPyTorch-v1",
      "source": "live"
    },
    {
      "ref": "boringregister/vinbigdata-cxr-ad-yolov5-14-class-train-softnms",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train]softnms",
      "source": "live"
    },
    {
      "ref": "anirbansen3027/vinbigdata-beginner-preprocessing",
      "title": "VinBigData Beginner Preprocessing",
      "source": "live"
    },
    {
      "ref": "ikraminf/chest-x-ray-abnormalities-detection-dicom-reader",
      "title": "chest X-ray abnormalities detection dicom reader",
      "source": "live"
    },
    {
      "ref": "tutuzhang/lemon-cls",
      "title": "lemon_cls",
      "source": "live"
    },
    {
      "ref": "klawensliu/mmdetection-0-260-baseline",
      "title": "mmdetection 0.260+ baseline",
      "source": "live"
    },
    {
      "ref": "deepankarchakraborty/vinbigdata-complete-pipeline",
      "title": "📸VinBigData complete pipeline",
      "source": "live"
    },
    {
      "ref": "mostafaibrahim17/detr-vin-2",
      "title": "DETr vin-2",
      "source": "live"
    },
    {
      "ref": "shashankrrr/notebook14ebee9cb1",
      "title": "notebook14ebee9cb1",
      "source": "live"
    },
    {
      "ref": "mostafaibrahim17/facebook-detr",
      "title": "Facebook DETR",
      "source": "live"
    },
    {
      "ref": "khaledmgamal/vinbigdata-yolov5",
      "title": "VinBigData_YOLOv5",
      "source": "live"
    },
    {
      "ref": "ahmed94eldawy/vinbigdata-cxr-ad-yolov5-14-class-infer",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [infer]",
      "source": "live"
    },
    {
      "ref": "abdelrahmanhabib/yolo-infererence",
      "title": "yolo infererence",
      "source": "live"
    },
    {
      "ref": "seokhyunseo/clahe-dataset-maker",
      "title": "CLAHE Dataset Maker",
      "source": "live"
    },
    {
      "ref": "beezus666/chest-x-ray-with-fastai-v2",
      "title": "Chest x-ray with fastai v2",
      "source": "live"
    },
    {
      "ref": "kuuuuub/x-ray-image-enhancement-test",
      "title": "x-ray image Enhancement test",
      "source": "live"
    },
    {
      "ref": "boringgame/intersection",
      "title": "intersection",
      "source": "live"
    },
    {
      "ref": "boringgame/vinbigdata-cxr-ad-yolov5-14-class-infer-f2d2ca",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [infer] f2d2ca",
      "source": "live"
    },
    {
      "ref": "kimse0ha/vinbigdata-eda-infer-analysis-with-yolov5",
      "title": "VinBigData EDA+Infer Analysis with YOLOv5",
      "source": "live"
    },
    {
      "ref": "kvsnoufal/custom-training-loop-with-detectron2-score-0-2",
      "title": "custom training loop with detectron2 score(0.2)",
      "source": "live"
    },
    {
      "ref": "gauravsingh1/mmdet-pytorch-framework-training-fasterrcnn-base",
      "title": "MMDET(pytorch) Framework Training: FasterRCNN Base",
      "source": "live"
    },
    {
      "ref": "sefika/vinbigdata-competition-overfitters",
      "title": "VinBigData-Competition-Overfitters",
      "source": "live"
    },
    {
      "ref": "stanleyjzheng/vbd-convert-labels-to-yolo-yolov4",
      "title": "VBD - Convert Labels to YOLO (YOLOv4)",
      "source": "live"
    },
    {
      "ref": "soccerguy282/yolov5-tensorflow-dataloader-debugged-fully",
      "title": " YOLOv5 TensorFlow DataLoader (debugged fully)",
      "source": "live"
    },
    {
      "ref": "sourabhchauhan/train-vinbigdata-detectron2-weights-and-biases",
      "title": "[Train]VinBigData detectron2 + weights and biases",
      "source": "live"
    },
    {
      "ref": "wguesdon/vinbigdata-data-preparation-1024-wg",
      "title": "VinBigData_data_preparation_1024_wg",
      "source": "live"
    },
    {
      "ref": "mostafaibrahim17/yolov5-vinbigdata",
      "title": "Yolov5-VinBigData",
      "source": "live"
    },
    {
      "ref": "ghaiyur/vinbigdata-2-class-versiongg",
      "title": "📸VinBigData 2-class_versiongg",
      "source": "live"
    },
    {
      "ref": "akhileshdkapse/nih-x-ray-multilabel-classification-tpu-guide",
      "title": "NIH X-ray Multilabel classification 🏋TPU GUIDE🚀",
      "source": "live"
    },
    {
      "ref": "ahmed94eldawy/vinbigdata-256-yolov5-14-class-18-batch-train",
      "title": "VinBigData_256_YOLOv5 14 Class_18_batch[train]",
      "source": "live"
    },
    {
      "ref": "abdelrahmanhabib/yolo-train",
      "title": "yolo train",
      "source": "live"
    },
    {
      "ref": "wonjunpark/vinbigdata-detectron2-train-using-nih-dataset",
      "title": "🔥VinBigData detectron2 train using NIH dataset",
      "source": "live"
    },
    {
      "ref": "jamsilkaggle/quick-data-analysis-with-yolov5-at-a-glance",
      "title": "Quick data analysis with YOLOv5 at a glance",
      "source": "live"
    },
    {
      "ref": "seokhyunseo/256-vs-512-vs-1024-which-dataset-is-useful",
      "title": "256 vs 512 vs 1024? Which dataset is useful? ",
      "source": "live"
    },
    {
      "ref": "pratapchdas/pratap-shailender-s-notebook",
      "title": "Pratap & Shailender's Notebook",
      "source": "live"
    },
    {
      "ref": "tikoboss/notebook34cc7a207f",
      "title": "notebook34cc7a207f",
      "source": "live"
    },
    {
      "ref": "sourabhchauhan/inference-vbd-detectron2",
      "title": "[Inference]VBD detectron2 ",
      "source": "live"
    },
    {
      "ref": "gauravsingh1/bbox-level-dataaugmentation",
      "title": "BBox Level DataAugmentation",
      "source": "live"
    },
    {
      "ref": "leesmallustc/vinbigdata-2-class-classifier-complete-pipeline",
      "title": "📸VinBigData 2-class classifier complete pipeline",
      "source": "live"
    },
    {
      "ref": "lqkustc/vinbigdata-2-class-classifier-complete-pipeline",
      "title": "📸VinBigData 2-class classifier complete pipeline",
      "source": "live"
    },
    {
      "ref": "its7171/map-understanding-with-code-and-its-tips",
      "title": "mAP understanding  with code and its tips",
      "source": "live"
    },
    {
      "ref": "lqkustc/vinbigdata-cxr-ad-yolov5-14-class-infer",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [infer]",
      "source": "live"
    },
    {
      "ref": "akulasuryaprakash/unet-model",
      "title": "Unet_Model",
      "source": "live"
    },
    {
      "ref": "leftyork/vinbigdata-2-class-filter",
      "title": "VinBigData 🌟2 Class Filter🌟",
      "source": "live"
    },
    {
      "ref": "leftyork/vinbigdata-2-class-classifier-complete-pipeline",
      "title": "📸VinBigData 2-class classifier complete pipeline",
      "source": "live"
    },
    {
      "ref": "bhallaakshit/medical-image-processing",
      "title": "Medical Image Processing",
      "source": "live"
    },
    {
      "ref": "leftyork/error-infer",
      "title": "error infer",
      "source": "live"
    },
    {
      "ref": "ahmed94eldawy/train-fold-v1",
      "title": "Train_Fold_V1",
      "source": "live"
    },
    {
      "ref": "asimzahid/all-you-need-to-know-about-dicom",
      "title": "All you  need to know about DICOM",
      "source": "live"
    },
    {
      "ref": "adnaiksachin25/modeling-abnormalities-features-extraction",
      "title": "Modeling abnormalities_Features_extraction",
      "source": "live"
    },
    {
      "ref": "leftyork/vinbigdata-cxr-ad-yolov5-14-class-train",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class; [train]",
      "source": "live"
    },
    {
      "ref": "yerramvarun/learnable-histograms-implementation",
      "title": "Learnable Histograms: Implementation",
      "source": "live"
    },
    {
      "ref": "doanquanvietnamca/vinbigdata-detectron2-prediction",
      "title": "📸VinBigData detectron2 prediction",
      "source": "live"
    },
    {
      "ref": "bhallaakshit/dicom-wrangling-and-enhancement",
      "title": "DICOM Wrangling and Enhancement",
      "source": "live"
    },
    {
      "ref": "sourabhchauhan/chest-x-ray-abnormalities-eda-box-fuse-skew",
      "title": "Chest X-ray abnormalities EDA, box fuse,skew📉📊🔥",
      "source": "live"
    },
    {
      "ref": "leftyork/visual-in-depth-eda-vinbigdata-competition-data",
      "title": "Visual In-Depth EDA – VinBigData Competition Data",
      "source": "live"
    },
    {
      "ref": "skydevour/preprocessing-dicom-data-eda",
      "title": "Preprocessing DICOM data（EDA））",
      "source": "live"
    },
    {
      "ref": "bhallaakshit/dicom-training-prediction-and-evaluation",
      "title": "DICOM Training, Prediction and Evaluation",
      "source": "live"
    },
    {
      "ref": "bryanb/vinbigdata-chest-x-ray-ensembling-approach",
      "title": "VinBigData Chest-X-ray: Ensembling approach",
      "source": "live"
    },
    {
      "ref": "daiquoctran/inference-maskrcnn",
      "title": "Inference MaskRCNN ",
      "source": "live"
    },
    {
      "ref": "basu369victor/chest-x-ray-abnormality-detection-yolo-v3-infer",
      "title": "Chest X-ray Abnormality Detection YOLO-v3 [infer]",
      "source": "live"
    },
    {
      "ref": "pawanbhandarkar/unet-experiments-cuda-out-of-memory",
      "title": "UNET Experiments (CUDA Out of Memory) ",
      "source": "live"
    },
    {
      "ref": "dawy94/fasterrcnn-resnet50-train-draft-v0",
      "title": "Fasterrcnn_resnet50_Train_Draft_v0",
      "source": "live"
    },
    {
      "ref": "guluna/eda-cxr",
      "title": "EDA CXR ",
      "source": "live"
    },
    {
      "ref": "mosthusnejahan/tf2-object-detection-api-efficientdet",
      "title": "TF2 Object Detection API - EfficientDet",
      "source": "live"
    },
    {
      "ref": "simonstadlinger/vinbig-competition3-poc",
      "title": "VinBig_Competition3_POC",
      "source": "live"
    },
    {
      "ref": "dawy94/submission",
      "title": "submission",
      "source": "live"
    },
    {
      "ref": "deshwalmahesh/rnn-you-ve-been-reading-it-the-wrong-way",
      "title": "RNN: You've been reading it the wrong way",
      "source": "live"
    },
    {
      "ref": "suanbaicai/how-to-get-width-and-height",
      "title": "How to get width and height",
      "source": "live"
    },
    {
      "ref": "hannes82/vision-transformer-trained-from-scratch-pytorch",
      "title": "Vision Transformer trained from scratch [PyTorch]",
      "source": "live"
    },
    {
      "ref": "dawy94/training-draft",
      "title": "Training_Draft",
      "source": "live"
    },
    {
      "ref": "akashadesai/vinbigdata-all-you-need-to-know-eda",
      "title": "VinBigData-All you need to know EDA ",
      "source": "live"
    },
    {
      "ref": "bhallaakshit/dicom-to-jpeg-using-tf2",
      "title": "DICOM to JPEG using TF2",
      "source": "live"
    },
    {
      "ref": "nonserial/pytorch-dataset-io-simpleitk-monai-transforms",
      "title": "pytorch dataset // IO SimpleITK + MONAI transforms",
      "source": "live"
    },
    {
      "ref": "wonjunpark/eda-vinbigdata-chest-x-ray-abnormalities-kor",
      "title": "EDA - VinBigData Chest X-ray Abnormalities (Kor)",
      "source": "live"
    },
    {
      "ref": "deshwalmahesh/you-ve-been-looking-at-the-cnn-the-wrong-way",
      "title": "You've been looking at the CNN the wrong way",
      "source": "live"
    },
    {
      "ref": "gauravsingh1/augmentation-eda-umap-vinbigdata",
      "title": "AUGMENTATION+EDA+UMAP - VinBigData",
      "source": "live"
    },
    {
      "ref": "rbhambri/chest-x-ray-abnormalities-bams-keras-pipeline",
      "title": "Chest X-ray abnormalities: bams keras pipeline",
      "source": "live"
    },
    {
      "ref": "harisme/split-keeping-same-image-entries-at-same-fold",
      "title": "split keeping same image entries at same fold",
      "source": "live"
    },
    {
      "ref": "adrihasfi/vinbigdata-chest-xray-abnormality-eda",
      "title": "VinBigData-Chest-Xray-Abnormality-EDA",
      "source": "live"
    },
    {
      "ref": "deepankarchakraborty/vinbigdata-detectron2-prediction",
      "title": "📸VinBigData detectron2 prediction",
      "source": "live"
    },
    {
      "ref": "phoenixdem/vinbigdata-detectron2-prediction",
      "title": "📸VinBigData detectron2 prediction",
      "source": "live"
    },
    {
      "ref": "bryanb/vinbigdata-chest-x-ray-eda-fusing-boxes",
      "title": "VinBigData Chest-X-ray: EDA + Fusing boxes",
      "source": "live"
    },
    {
      "ref": "uncletito727/chest-x-ray-custom-yolov5",
      "title": "Chest X-Ray Custom YoloV5",
      "source": "live"
    },
    {
      "ref": "thuando/vinbigdata-chest-x-ray-eda-fusing-bboxes",
      "title": "VinBigData chest x-ray EDA & fusing bboxes",
      "source": "live"
    },
    {
      "ref": "sreevishnudamodaran/effdet-pytorch-cutmix-mixup-kfold-cosanneal",
      "title": "EffDet PyTorch+CutMix+Mixup+KFold+CosAnneal🌟📈",
      "source": "live"
    },
    {
      "ref": "bhallaakshit/eda-and-preprocessing-for-tf2-object-detection",
      "title": "EDA and Preprocessing for TF2 Object Detection",
      "source": "live"
    },
    {
      "ref": "arunpatreyalabs/tf-record-creator",
      "title": "TF_record_creator_",
      "source": "live"
    },
    {
      "ref": "vyombhatia/object-detection-is-cool",
      "title": "😋 Object Detection is COOL 🏃🏽‍♀️",
      "source": "live"
    },
    {
      "ref": "corochann/vinbigdata-2-class-classifier-complete-pipeline",
      "title": "📸VinBigData 2-class classifier complete pipeline",
      "source": "live"
    },
    {
      "ref": "basu369victor/chest-x-ray-abnormality-detection-with-yolo-v3",
      "title": "Chest X-ray Abnormality Detection with YOLO-v3",
      "source": "live"
    },
    {
      "ref": "rahools/checking-data-out",
      "title": "Checking Data Out",
      "source": "live"
    },
    {
      "ref": "lazcoder/object-detection-api-effdet-b0-custom-training",
      "title": "Object Detection API - EffDet-B0 Custom Training",
      "source": "live"
    },
    {
      "ref": "morizin/vinbigdata-yolo-inference",
      "title": "vinbigdata yolo inference",
      "source": "live"
    },
    {
      "ref": "kailassrt/faster-rcnn",
      "title": "Faster RCNN ",
      "source": "live"
    },
    {
      "ref": "fireheart7/vinbigdata-eda",
      "title": "VinBigData-EDA",
      "source": "live"
    },
    {
      "ref": "bjoernholzhauer/finding-data-issues-and-mislabeled-bounding-boxes",
      "title": "Finding data issues and mislabeled bounding boxes",
      "source": "live"
    },
    {
      "ref": "srija0905/chest-x-ray-abnormalities-eda",
      "title": "Chest x-ray abnormalities EDA",
      "source": "live"
    },
    {
      "ref": "quillio/vindr-bounding-box-fusion",
      "title": "📦VinDr-Bounding Box Fusion📦",
      "source": "live"
    },
    {
      "ref": "rbhambri/visual-in-depth-eda-vinbigdata-competition-data",
      "title": "Visual In-Depth EDA – VinBigData Competition Data",
      "source": "live"
    },
    {
      "ref": "rbhambri/eda-vinbigdata-chest-x-ray-abnormalities",
      "title": "EDA - VinBigData Chest X-ray Abnormalities",
      "source": "live"
    },
    {
      "ref": "alincijov/chest-x-ray-abnormalities-pytorch-fasterrcnn",
      "title": "Chest X-ray ☢️ Abnormalities Pytorch FasterRCNN",
      "source": "live"
    },
    {
      "ref": "velody/vinbigdata-cxr-ad-yolov5-14-class-train",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train]",
      "source": "live"
    },
    {
      "ref": "backtracking/bounding-boxes-optimization",
      "title": "Bounding Boxes Optimization",
      "source": "live"
    },
    {
      "ref": "skooch/downsizeimages2x",
      "title": "DownsizeImages2x",
      "source": "live"
    },
    {
      "ref": "bjoernholzhauer/vinbigdata-chest-x-ray-comparing-dataloader-speed",
      "title": "VinBigData Chest X-ray: Comparing DataLoader speed",
      "source": "live"
    },
    {
      "ref": "redomy/notebooka5d14e655b",
      "title": "notebooka5d14e655b",
      "source": "live"
    },
    {
      "ref": "blancacabrera/easy-bounding-box-plots",
      "title": "Easy bounding box plots",
      "source": "live"
    },
    {
      "ref": "ayadiamira/vinbigdata-cxr-a-complete-guide-part-1-intro",
      "title": "VinBigData CXR: a complete guide (part 1 -  Intro)",
      "source": "live"
    },
    {
      "ref": "solosquad1999/vinbigdata-train-efficientnet-2-classes",
      "title": "[VinBigData]-Train-EfficientNet-2-classes",
      "source": "live"
    },
    {
      "ref": "solosquad1999/vinbigdata-inference-efficientnet-2-classes",
      "title": "[VinBigData]-Inference-EfficientNet-2-classes",
      "source": "live"
    },
    {
      "ref": "corochann/vinbigdata-detectron2-prediction",
      "title": "📸VinBigData detectron2 prediction",
      "source": "live"
    },
    {
      "ref": "corochann/vinbigdata-detectron2-train",
      "title": "📸VinBigData detectron2 train",
      "source": "live"
    },
    {
      "ref": "mgmostafa/vinbigdata-reading-dicom-attributes-the-right-way",
      "title": "VinBigData: Reading DICOM Attributes the Right Way",
      "source": "live"
    },
    {
      "ref": "morizin/14-class-efficientdet-detection-train",
      "title": "14 Class EfficientDet Detection Train",
      "source": "live"
    },
    {
      "ref": "zubairashfaque/in-depth-eda-vinbigdata-competition-data",
      "title": "In-Depth EDA – VinBigData Competition Data",
      "source": "live"
    },
    {
      "ref": "awsaf49/vinbigdata-2-class-filter",
      "title": "VinBigData 🌟2 Class Filter🌟",
      "source": "live"
    },
    {
      "ref": "sreevishnudamodaran/vbd-efficientdet-tf2-object-detection-api",
      "title": "⚡VBD EfficientDET TF2 Object Detection API⚡📈",
      "source": "live"
    },
    {
      "ref": "basu369victor/chest-x-ray-abnormalities-detection-submission",
      "title": "Chest X-ray Abnormalities Detection(Submission)",
      "source": "live"
    },
    {
      "ref": "fold10/show-chest-x-rays-and-their-bboxes",
      "title": "Show Chest X-Rays and their BBoxes",
      "source": "live"
    },
    {
      "ref": "soumochatterjee/xray-object-detection",
      "title": "xray object detection",
      "source": "live"
    },
    {
      "ref": "corochann/vinbigdata-create-test-meta",
      "title": "VinBigData: create test_meta",
      "source": "live"
    },
    {
      "ref": "quillio/fast-dicom-to-pandas-dataframe",
      "title": "⚡Fast DICOM to Pandas Dataframe⚡",
      "source": "live"
    },
    {
      "ref": "sheldonsebastian/image-preprocessor-512",
      "title": "Image Preprocessor 512",
      "source": "live"
    },
    {
      "ref": "redomy/eda-cropping",
      "title": "EDA  & Cropping ",
      "source": "live"
    },
    {
      "ref": "akhileshdkapse/vinbigdata-retinanet-detection-inference",
      "title": " VinBigData Retinanet-Detection [Inference]🕵️",
      "source": "live"
    },
    {
      "ref": "akhileshdkapse/creating-whl-file-retinanet",
      "title": "Creating WHL file - Retinanet",
      "source": "live"
    },
    {
      "ref": "mariazorkaltseva/vinbigdata-eda-faster-rcnn-icevision-inference",
      "title": "VinBigData: EDA|Faster-RCNN|icevision [inference]",
      "source": "live"
    },
    {
      "ref": "mistag/train-vinbigdata-tf-object-detection-api",
      "title": "[train] VinBigData TF Object Detection API",
      "source": "live"
    },
    {
      "ref": "paulreiners/2-prepare-dicom-images-for-ml",
      "title": "2. Prepare DICOM Images for ML",
      "source": "live"
    },
    {
      "ref": "kamaljain77/vinbigdata-chest-x-ray-abnormalities-detection",
      "title": "VinBigData Chest X-ray Abnormalities Detection",
      "source": "live"
    },
    {
      "ref": "akhileshdkapse/vinbigdata-retinanet-detection-training",
      "title": "VinBigData Retinanet-Detection [Training] 🕵️",
      "source": "live"
    },
    {
      "ref": "kazegami/select-data-by-class",
      "title": "Select data by  class",
      "source": "live"
    },
    {
      "ref": "hasangoni/bbox-fusion-diff-r-diff-clas-in-same-image",
      "title": "bbox fusion diff R diff clas in same image",
      "source": "live"
    },
    {
      "ref": "mistag/data-create-tfrecords-of-vinbigdata-chest-x-rays",
      "title": "[data] Create TFRecords of VinBigData Chest X-rays",
      "source": "live"
    },
    {
      "ref": "notvuvko/vinbigdata-process-and-resize-original-ratio",
      "title": "VinBigData: Process and resize (original ratio)",
      "source": "live"
    },
    {
      "ref": "anhlv2312/vinbigdata-crop-and-resize-x-ray-images",
      "title": "VinBigData - Crop and Resize X-Ray Images",
      "source": "live"
    },
    {
      "ref": "hiicao/dicom-metadata-to-pandasframe",
      "title": "DICOM Metadata to PandasFrame",
      "source": "live"
    },
    {
      "ref": "backtracking/smart-data-split-train-eval-for-object-detection",
      "title": "Smart data split (train/eval) for Object Detection",
      "source": "live"
    },
    {
      "ref": "anaselmasry/vinbigdata-chest-x-ray-abnormalities-detection",
      "title": "VinBigData Chest X-ray Abnormalities Detection",
      "source": "live"
    },
    {
      "ref": "mariazorkaltseva/vinbigdata-eda-faster-rcnn-icevision-training",
      "title": "VinBigData: EDA, Faster-RCNN, icevision [training]",
      "source": "live"
    },
    {
      "ref": "sreevishnudamodaran/vinbigdata-fusing-bboxes-coco-dataset",
      "title": "VinBigData - Fusing Bboxes + Coco Dataset 🌟📉",
      "source": "live"
    },
    {
      "ref": "backtracking/efficientdet-inference",
      "title": "[EfficientDet] Inference",
      "source": "live"
    },
    {
      "ref": "dschettler8845/vinbigdata-convert-annotations-to-pascal-voc-xml",
      "title": "VinBigData - Convert Annotations to Pascal VOC XML",
      "source": "live"
    },
    {
      "ref": "backtracking/efficient-det-training",
      "title": "[Efficient Det] Training",
      "source": "live"
    },
    {
      "ref": "akulasuryaprakash/mask-rcnn",
      "title": "mask_rcnn",
      "source": "live"
    },
    {
      "ref": "tomonorisasaki/eda-of-vinbigdata-chest-x-ray-abnormalities-detect",
      "title": "EDA of VinBigData Chest X-ray Abnormalities Detect",
      "source": "live"
    },
    {
      "ref": "pestipeti/competition-metric-map-0-4",
      "title": "Competition Metric - mAP-0.4",
      "source": "live"
    },
    {
      "ref": "gecb1609/chest-x-ray-abnormalities-detection-tf-keras",
      "title": "Chest X-ray abnormalities Detection {TF-Keras}",
      "source": "live"
    },
    {
      "ref": "dschettler8845/visual-in-depth-eda-vinbigdata-competition-data",
      "title": "Visual In-Depth EDA – VinBigData Competition Data",
      "source": "live"
    },
    {
      "ref": "garrettwankel/chest-xray-notebook",
      "title": "chest_xray_notebook",
      "source": "live"
    },
    {
      "ref": "bibhash123/dataset-preparation",
      "title": "Dataset Preparation",
      "source": "live"
    },
    {
      "ref": "rizdelhi/vinbigdata-chest-x-ray-multi-class-classification",
      "title": "Vinbigdata Chest X-ray Multi-Class Classification",
      "source": "live"
    },
    {
      "ref": "xhlulu/vinbigdata-process-and-resize-to-png-256x256",
      "title": "VinBigData: Process and resize to PNG (256x256)",
      "source": "live"
    },
    {
      "ref": "xhlulu/vinbigdata-process-and-resize-to-png-1024x1024",
      "title": "VinBigData: Process and resize to PNG (1024x1024)",
      "source": "live"
    },
    {
      "ref": "caseyw/dicom-data-get-patient-demographics",
      "title": "Dicom Data: Get Patient Demographics",
      "source": "live"
    },
    {
      "ref": "mgmostafa/vinbigdata-eda-and-visualization",
      "title": "VinBigData: EDA and Visualization",
      "source": "live"
    },
    {
      "ref": "mohaliy2016/vinbigdata-cxr-visualization",
      "title": "Vinbigdata-CXR-Visualization",
      "source": "live"
    },
    {
      "ref": "anubhav1302/quick-look-eda",
      "title": "Quick Look_EDA",
      "source": "live"
    },
    {
      "ref": "sakuraandblackcat/chest-x-ray-14",
      "title": "【日本語】Chest_X-ray: 14の異常所見の基礎知識",
      "source": "live"
    },
    {
      "ref": "ajayago/vinbigdata-chest-x-ray-eda-and-bounding-box-plot",
      "title": "VinBigData Chest X-ray - EDA and bounding box plot",
      "source": "live"
    },
    {
      "ref": "user123454321/fasterrcnn-starter-training",
      "title": "FasterRCNN Starter (Training)",
      "source": "live"
    },
    {
      "ref": "craigmthomas/localization-of-findings",
      "title": "Localization of Findings",
      "source": "live"
    },
    {
      "ref": "user123454321/fasterrcnn-starter",
      "title": "FasterRCNN Starter",
      "source": "live"
    },
    {
      "ref": "robertlangdonvinci/vinbigdata-chest-abnormalities-detection-fastai",
      "title": "VinBigData_Chest_Abnormalities_Detection_Fastai",
      "source": "live"
    },
    {
      "ref": "princejaiswal03/loading-and-plotting-the-dicom-file",
      "title": "Loading and plotting the dicom file",
      "source": "live"
    },
    {
      "ref": "albertozorzetto/chest-x-ray-abnormalities-w-yolov5",
      "title": "Chest X-RAY Abnormalities w/ YOLOv5",
      "source": "live"
    },
    {
      "ref": "docxian/vinbigdata-structural-aspects-of-training-data",
      "title": "VinBigData - Structural Aspects of Training Data",
      "source": "live"
    },
    {
      "ref": "awsaf49/vinbigdata-cxr-ad-yolov5-14-class-infer",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [infer]",
      "source": "live"
    },
    {
      "ref": "dskagglemt/basic-understanding-on-dicom-convert-to-numpy",
      "title": "Basic Understanding on DICOM & convert to numpy",
      "source": "live"
    },
    {
      "ref": "shouvik19/intial-data-exploration",
      "title": "Intial_data_exploration",
      "source": "live"
    },
    {
      "ref": "yerramvarun/pytorch-fasterrcnn-with-group-kfold-14-class",
      "title": "Pytorch FasterRCNN with Group KFOLD - 14 class",
      "source": "live"
    },
    {
      "ref": "xhlulu/vinbigdata-process-and-resize-original-ratio",
      "title": "VinBigData: Process and resize (original ratio)",
      "source": "live"
    },
    {
      "ref": "xhlulu/vinbigdata-process-and-resize-to-jpg",
      "title": "VinBigData: Process and resize to JPG",
      "source": "live"
    },
    {
      "ref": "rick0011/missing-values-and-dicom-files-eda",
      "title": "Missing values and DICOM files EDA",
      "source": "live"
    },
    {
      "ref": "rsingh99/baseline-for-retinanet-detectron2",
      "title": "Baseline for RetinaNet-Detectron2",
      "source": "live"
    },
    {
      "ref": "awsaf49/vinbigdata-cxr-ad-yolov5-14-class-train",
      "title": "VinBigData-CXR-AD YOLOv5 14 Class [train]",
      "source": "live"
    },
    {
      "ref": "doanquanvietnamca/tfrecords-create-from-dicom-to-image",
      "title": "TFRecords Create from DICOM to Image",
      "source": "live"
    },
    {
      "ref": "digvijayyadav/exploring-vinbigdata-groupkfold",
      "title": "Exploring VinBigData | GroupKFold ",
      "source": "live"
    },
    {
      "ref": "hungnd11/eda-vinbigdata-chest-x-ray",
      "title": "EDA - VinBigData Chest X-RAY",
      "source": "live"
    },
    {
      "ref": "dhananjay3/vinbigdata-eda-all-you-need-to-know",
      "title": "VinBigData: EDA All You need to know",
      "source": "live"
    },
    {
      "ref": "minhtam/dicom-preprocess",
      "title": "Dicom preprocess",
      "source": "live"
    },
    {
      "ref": "bibhash123/utilities-x-ray",
      "title": "Utilities_X-ray",
      "source": "live"
    },
    {
      "ref": "angieashraf/eda-vinbigdata-chest-x-ray",
      "title": "EDA|VinBigData Chest X-ray📊📈",
      "source": "live"
    },
    {
      "ref": "ayushggarg/chest-x-ray-abnormalities-detection-eda",
      "title": "Chest X-ray Abnormalities Detection - EDA",
      "source": "live"
    },
    {
      "ref": "bibhash123/chest-x-ray-abnormalities-baseline-tf-keras",
      "title": "Chest X-ray abnormalities: Baseline[TF.Keras]📊",
      "source": "live"
    },
    {
      "ref": "basu369victor/chest-x-ray-abnormalities-detection",
      "title": "Chest X-ray Abnormalities Detection",
      "source": "live"
    },
    {
      "ref": "msafi04/vbd-chestxray-visualize-with-boundingbox",
      "title": "VBD_ChestXRay_Visualize with BoundingBox ",
      "source": "live"
    },
    {
      "ref": "hungkhoi/visualize-vinbd-chest-x-ray-abnormalities-detect",
      "title": "Visualize - VinBD Chest X-ray Abnormalities Detect",
      "source": "live"
    },
    {
      "ref": "anantgupt/chest-x-ray-abnormalities-doctor-eda",
      "title": "Chest X-ray Abnormalities Doctor-EDA",
      "source": "live"
    },
    {
      "ref": "backtracking/fastest-convert-dicoms-to-images",
      "title": "Fastest Convert Dicoms to Images",
      "source": "live"
    },
    {
      "ref": "vineeth1999/vinbigdata-eda",
      "title": "VinBigData EDA",
      "source": "live"
    },
    {
      "ref": "backtracking/anchor-boxes-analysis-using-k-means",
      "title": "Anchor Boxes Analysis using K-Means ",
      "source": "live"
    },
    {
      "ref": "cstungthanh/chest-x-ray-vinbigdata-dataset-analyst",
      "title": "Chest X-ray (VinBigData Dataset) Analyst",
      "source": "live"
    },
    {
      "ref": "lakitha/chestxraycompetetion",
      "title": "ChestXrayCompetetion",
      "source": "live"
    },
    {
      "ref": "hieutrluu/vinbdi-chestxray-eda",
      "title": "VinBDI-ChestXray EDA",
      "source": "live"
    },
    {
      "ref": "trungthanhnguyen0502/eda-vinbigdata-chest-x-ray-abnormalities",
      "title": "EDA - VinBigData Chest X-ray Abnormalities",
      "source": "live"
    },
    {
      "ref": "xhlulu/vinbigdata-process-and-resize-to-image",
      "title": "VinBigData: Process and resize to image",
      "source": "live"
    },
    {
      "ref": "frlemarchand/maskrcnn-for-chest-x-ray-anomaly-detection",
      "title": "MaskRCNN for Chest X-ray Anomaly Detection",
      "source": "live"
    },
    {
      "ref": "ramitto/retinanet-for-x-ray",
      "title": "RetinaNet for X-ray",
      "source": "live"
    },
    {
      "ref": "pestipeti/vinbigdata-fasterrcnn-pytorch-inference",
      "title": "VinBigData FasterRCNN PyTorch - Inference",
      "source": "live"
    },
    {
      "ref": "francescotangari/notebookce8ce5f973",
      "title": "notebookce8ce5f973",
      "source": "live"
    },
    {
      "ref": "mostafaibrahim17/exploratory-data-analysis",
      "title": "Exploratory Data Analysis",
      "source": "live"
    },
    {
      "ref": "bjoernholzhauer/eda-dicom-reading-vinbigdata-chest-x-ray",
      "title": "EDA & .dicom reading: VinBigData Chest X-ray",
      "source": "live"
    },
    {
      "ref": "raddar/popular-x-ray-image-normalization-techniques",
      "title": "Popular X-ray image normalization techniques",
      "source": "live"
    },
    {
      "ref": "ccollado7/vinbigdata-chest-x-ray-eda-starter",
      "title": "VinBigData Chest X Ray - EDA Starter",
      "source": "live"
    },
    {
      "ref": "raddar/convert-dicom-to-np-array-the-correct-way",
      "title": "Convert dicom to np.array - the correct way",
      "source": "live"
    },
    {
      "ref": "sakuraandblackcat/chest-x-ray-knowledges-for-the-14-abnormalities",
      "title": "Chest_X-ray: Knowledges for the 14 abnormalities",
      "source": "live"
    },
    {
      "ref": "waelr1985/vinbigdata-chest-x-ray-abnormalities-detection",
      "title": "VinBigData Chest X-ray Abnormalities Detection ",
      "source": "live"
    },
    {
      "ref": "tathagatbanerjee/chest-xray-starter-code",
      "title": "Chest Xray Starter code",
      "source": "live"
    },
    {
      "ref": "robertlangdonvinci/image-resized-256-parallel-processing",
      "title": "Image_Resized_256(Parallel_Processing)",
      "source": "live"
    },
    {
      "ref": "abhishek/chest-generate-training-folds",
      "title": "chest generate training folds",
      "source": "live"
    },
    {
      "ref": "chandraroy/plot-dicom-data-in-python",
      "title": "Plot DICOM data in python",
      "source": "live"
    },
    {
      "ref": "debarshichanda/vinbigdata-chest-x-ray-eda-with-plotly",
      "title": "VinBigData Chest X-ray EDA with Plotly",
      "source": "live"
    },
    {
      "ref": "mrutyunjaybiswal/vbd-chest-x-ray-abnormalities-detection-eda",
      "title": "VBD Chest X-ray Abnormalities Detection | EDA📊🔴 ",
      "source": "live"
    },
    {
      "ref": "drcapa/chest-x-ray-starter",
      "title": "Chest_X-ray_Starter",
      "source": "live"
    },
    {
      "ref": "pestipeti/vinbigdata-fasterrcnn-pytorch-train",
      "title": "VinBigData FasterRCNN Pytorch - Train",
      "source": "live"
    },
    {
      "ref": "mahmoudvaziri/my-first-eda",
      "title": "My first EDA ",
      "source": "live"
    },
    {
      "ref": "hamditarek/vinbigdata-chest-x-ray-abnormalities-detection",
      "title": "VinBigData Chest X-ray Abnormalities Detection",
      "source": "live"
    },
    {
      "ref": "tikoboss/resized-images",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "zehuigong/hubmap-submission-withcsv",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "saurabhbagchi/multinomial-logistic-regression-for-beginners",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "mostafaibrahim17/yolov5",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "akhileshdkapse/efficientdet-keras",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "chienhsianghung/tps-apr-lgbm-catboost-decisiontree-pseudo",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "zcsong/vinbigdata-yolov5-infer",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "lucamarradi/vinbigdata-2-class-classifier-complete-pi-963f84",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "ivanpan/vinbindata-inference-2nd-place",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "awsaf49/siim-covid-19-yolov5-image-level-train",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "ipolas/mmdet-pytorch-framework-training-fcos-base",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "arunimbasak/wbf-ensemble-ba06e5",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "yohannesminyilu/vbd-efficientdet-tf2-object-detection-api",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "kaledhoshme/visual-explanations-gradcam-gradcam",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "faycalzineeddine/chest-x-ray-detection",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "powwowath/visual-in-depth-eda-vinbigdata-competition-data",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "rupeshkonduru/yolov5-chestxray",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "underrated1/medical-image-processing",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "radiodiagnostica/g-c-cx-stdsplit",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "mersava/tf2-leke-resized-768x1024-ba-ar-l",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "samiblack/pfemodel",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "lengocmaik17hl/base-xl2r-paper-ct-scans-for-covid-19-classifica",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "mohamedabdelhamid03/newclasses",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "eaktajoge2003/chest-xray",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "sridhar200217/notebookffe558a4ab",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "huytrnhgia/notebook-v7-jbhi",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "hiuvquc/thoracic-abnormality-detection",
      "title": "",
      "source": "meta"
    },
    {
      "ref": "mohamedelalfy01/pneumonia-detection-chest-x-ray-images",
      "title": "",
      "source": "meta"
    }
  ],
  "errors": []
}