{
  "total": 388,
  "topics": [
    {
      "id": 252877,
      "title": "New to Machine Learning or Kaggle?",
      "comment_count": 21,
      "views": 0,
      "votes": 30,
      "reused": true
    },
    {
      "id": 254252,
      "title": "Opportunity to Publish your Method and Results, in Springer LNCS",
      "comment_count": 40,
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      "votes": 62,
      "reused": true
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      "id": 267810,
      "title": "Educational Merit Distinction",
      "comment_count": 5,
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      "reused": true
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      "id": 278921,
      "title": "Leaderboard Reveal and Finalization",
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      "reused": true
    },
    {
      "id": 252876,
      "title": "Looking for a Team Thread",
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      "reused": true
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      "id": 262046,
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      "id": 253468,
      "title": "Welcome from the Challenge Sponsors",
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      "votes": 20,
      "reused": true
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      "id": 252922,
      "title": "🧠Brain 3D View🧠",
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      "title": "8th place solution",
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      "id": 281347,
      "title": "1st place solution with very simple code",
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      "reused": true
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      "id": 453098,
      "title": "Binary classification! My thesis/help me pls",
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      "id": 361354,
      "title": "Difference between BraTS2021 Task2 and Task 1 Dataset ",
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      "reused": true
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      "id": 268597,
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      "id": 276351,
      "title": "Normalized Voxels: Inference error ",
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      "reused": true
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      "id": 252851,
      "title": "Research paper and related works Radiogenomic Image using CV/ML/DL approaches",
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      "id": 256199,
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      "id": 266173,
      "title": "Is this even possible?",
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      "id": 314390,
      "title": "Is the data size enough for research",
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      "id": 305908,
      "title": "Public Test Set Labels",
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      "id": 303282,
      "title": "Submissions Disabled",
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      "id": 291506,
      "title": "Brain Tumor Challenge Recognition Event Today at 4:00 PM CT",
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      "reused": true
    },
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      "id": 285297,
      "title": "Understood the competition is over but can the scorer be still open for submission.",
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      "votes": 8,
      "reused": true
    },
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      "id": 279826,
      "title": "[9th] Simple and kinda stable approach",
      "comment_count": 14,
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      "votes": 31,
      "reused": true
    },
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      "id": 287713,
      "title": "3rd place solution ",
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      "votes": 13
    },
    {
      "id": 286935,
      "title": "Help shed a light on challenge participation characteristics",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 284024,
      "title": "On the low performance of models in this challenge",
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      "votes": 30,
      "reused": true
    },
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      "id": 282634,
      "title": "Multimodal 2d CNN with independent augmentations based on Monai",
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      "votes": 9,
      "reused": true
    },
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      "id": 280062,
      "title": "All Solutions Compilation",
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      "votes": 23,
      "reused": true
    },
    {
      "id": 281374,
      "title": "7th place solution",
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      "votes": 8,
      "reused": true
    },
    {
      "id": 281911,
      "title": "5th place solution",
      "comment_count": 1,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 279832,
      "title": "12th Place Solution",
      "comment_count": 22,
      "views": 0,
      "votes": 44,
      "reused": true
    },
    {
      "id": 280003,
      "title": "662nd place solution",
      "comment_count": 8,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 279817,
      "title": "A few words to share!",
      "comment_count": 19,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 279777,
      "title": "Leaderboard Shakeup Plot - Rank and Score",
      "comment_count": 11,
      "views": 0,
      "votes": 29,
      "reused": true
    },
    {
      "id": 279823,
      "title": "The real winner ...",
      "comment_count": 22,
      "views": 0,
      "votes": 100,
      "reused": true
    },
    {
      "id": 279787,
      "title": "4th place, whattt!!!!!!!",
      "comment_count": 9,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 280033,
      "title": "2nd place solution",
      "comment_count": 15,
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      "votes": 37,
      "reused": true
    },
    {
      "id": 277150,
      "title": "Correlation != Causation",
      "comment_count": 8,
      "views": 0,
      "votes": 21,
      "reused": true
    },
    {
      "id": 279820,
      "title": "This competition is a failure.",
      "comment_count": 40,
      "views": 0,
      "votes": 84,
      "reused": true
    },
    {
      "id": 280448,
      "title": "Top 30 finish with 1 submission",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 280296,
      "title": "Expected AUC for \"N\" submissions for a Random Classifier ",
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      "votes": 1,
      "reused": true
    },
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      "id": 280402,
      "title": "6 place solution (2 stage models)",
      "comment_count": 0,
      "views": 0,
      "votes": 23
    },
    {
      "id": 280068,
      "title": "😑it's an unfair competition. why didn't they run my notebook on private dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 280145,
      "title": "Pyradiomics used for radiomic feature extraction",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 278504,
      "title": "That was fun, what is next?",
      "comment_count": 8,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 280121,
      "title": "2d vs 3d cnn results",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 280107,
      "title": "691nd place solution. (Code)",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 280017,
      "title": "255th place solution - Using 3D Resnet50 model",
      "comment_count": 2,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 280072,
      "title": "15th (VIT) Vision Transformer 3D on MRI ",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 280043,
      "title": "Were our efforts really useless?",
      "comment_count": 3,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 280050,
      "title": "Compilation of top solutions and approaches ",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 280035,
      "title": "We should have expected this",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 279774,
      "title": "- 1 score in private?",
      "comment_count": 8,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 279858,
      "title": "-1.0 in all my submissions including one of the selected ones...",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 279671,
      "title": "Results of all submissions",
      "comment_count": 5,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 279668,
      "title": "Did any of our models really learn?",
      "comment_count": 5,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 279841,
      "title": "Stratified Sampling into Training and Validation set",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 279762,
      "title": "Clinically useless model ",
      "comment_count": 8,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 279816,
      "title": "Public data distract the high public score competitors",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 279672,
      "title": "err - wuh?",
      "comment_count": 6,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 279770,
      "title": "Competition is over, but super big shakeup",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 279656,
      "title": "WOOOOOHOOOOO!!!!!!!!",
      "comment_count": 4,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 276548,
      "title": "Reliability of the data (ja onko tässä kisassa mukana muita tiimejä Suomesta)",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 278884,
      "title": "Deleted dataset issue",
      "comment_count": 8,
      "views": 0,
      "votes": 28,
      "reused": true
    },
    {
      "id": 279772,
      "title": "Random probabilistic submission",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 278815,
      "title": "[WARNING]Don't select a public notebook that doesn't infer private data as the final submission",
      "comment_count": 11,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 279669,
      "title": "The biggest shake up",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 278136,
      "title": "Clarifying MGMT - Glioblastoma image features relationship / correlation",
      "comment_count": 5,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 279508,
      "title": "Results publication deadline",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 279269,
      "title": "MRI to PET",
      "comment_count": 7,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 278944,
      "title": "Suggestion: Green or Red icon for the Private Score status.",
      "comment_count": 1,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 278875,
      "title": "Same model, different score",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 279180,
      "title": "Unusual Activity in Public LB",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 253000,
      "title": "DICOM to PNG dataset (128 GB -> 5.2 GB) 🎨🔥",
      "comment_count": 103,
      "views": 0,
      "votes": 369,
      "reused": true
    },
    {
      "id": 278264,
      "title": "Shakeup Memes",
      "comment_count": 6,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 269396,
      "title": "Fake Accounts In Competition (Cheating)",
      "comment_count": 22,
      "views": 0,
      "votes": 107,
      "reused": true
    },
    {
      "id": 278898,
      "title": "Disappearing dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 278927,
      "title": "Deleted dataset issue",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 276639,
      "title": "NVIDIA: Top Spots in MICCAI 2021 Brain Tumor Segmentation Challenge",
      "comment_count": 2,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 277787,
      "title": "Shake-up is approaching, I can already feel it",
      "comment_count": 28,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 278545,
      "title": "Problem in submitting the jupyter notebook.",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 278599,
      "title": "Choice of submissions, share your experience",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 278790,
      "title": "Dataset Representation",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 278431,
      "title": "Can someone share the link to this data (outside of kaggle)?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 278507,
      "title": "What is deadline?",
      "comment_count": 3,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 278704,
      "title": "Found a model that (over)trains well but....",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 278452,
      "title": "Submission Scoring Error",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 278398,
      "title": "Did I miss something? Why do my Submissions have different execution times? ",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 278289,
      "title": "Submission Error:",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 253020,
      "title": "Notebook for determining MR image planes",
      "comment_count": 3,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 271787,
      "title": "Converting Between MRI Planes",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 265098,
      "title": "Normalized Voxels: Align Planes, Adjust Contrast, and Crop",
      "comment_count": 6,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 253698,
      "title": "Notes on MRI, Parameter Weighting, and Imaging Planes",
      "comment_count": 1,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 278007,
      "title": "Novice question on competition rules",
      "comment_count": 5,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 277809,
      "title": "Clinically useful?",
      "comment_count": 5,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 278263,
      "title": "Spatial-And-Context aware (SpACe) \"virtual biopsy\" radiogenomic maps",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 278161,
      "title": "TPU Enabled Model Runs on CPU",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 277603,
      "title": "Help...🥕🥕 Submission Scoring Error..😭",
      "comment_count": 18,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 277968,
      "title": "Calling Matlab Community ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 277932,
      "title": "Used published models",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 276257,
      "title": "Is it allowed to separate the training and Submission notebooks?",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 277783,
      "title": "Uploading pre-trained model publicly?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 261987,
      "title": "Is MATLAB acceptable?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 276809,
      "title": "💥which one is better, train model with all modality as input or train model in diffrent step?💥",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 276628,
      "title": "2d cnn using single image is very overfitting",
      "comment_count": 9,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 277637,
      "title": "Adding Cross Validation using NumPy Arrays",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 256054,
      "title": "Submission Scoring Error ",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 277642,
      "title": "Some of your uploads failed. Please try again.",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 277652,
      "title": "\"Submission CSV Not Found\" when converting test dataset to nifti",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 276448,
      "title": "Why so many \"Mixing predictions\" notebooks?",
      "comment_count": 4,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 263613,
      "title": "Can I train a DL model with a tensor of a set of images?",
      "comment_count": 5,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 276502,
      "title": "Notebook Threw Exception followed by Submission Scoring Error",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 277001,
      "title": "Model calibration",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 263612,
      "title": "Submission Scoring Error and no reason given ",
      "comment_count": 7,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 276881,
      "title": "Submission Scoring Error",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 276898,
      "title": "Paper: Transformer for 3D Image Segmentation of MRI scans",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 276784,
      "title": "What exactly the winners have to share ? ",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 265777,
      "title": "Don't follow the top-scoring kernel \"blindly\"",
      "comment_count": 25,
      "views": 0,
      "votes": 48,
      "reused": true
    },
    {
      "id": 276700,
      "title": "Query about CPU/GPU kernel run-time",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 276485,
      "title": "resizing 3D images (long training time)",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 276230,
      "title": "TensorFlow fit bug",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 276371,
      "title": "Synchronized MRI Scans Animations with TorchIO",
      "comment_count": 2,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 276352,
      "title": "How to ensemble of Out-of-folds model (same configuratoin)? ",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 269164,
      "title": "Why Is The Task 2 Dataset Different Than The Task 1 Dataset?",
      "comment_count": 10,
      "views": 0,
      "votes": 30,
      "reused": true
    },
    {
      "id": 275538,
      "title": "Notebook for tumor object detection",
      "comment_count": 1,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 275863,
      "title": "dicom to nifti and registration",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 276219,
      "title": "How are people using task 2 dataset?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 275627,
      "title": "3D R-CNN? Extend 2D R-CNN for 3D?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 276094,
      "title": "Ensemble methods that are useful",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 275983,
      "title": "question about test data",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 275683,
      "title": "A lot of crap blender solutions just for increase personal score!",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 274123,
      "title": "torch.manual_seed(3407) is all you need ",
      "comment_count": 2,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 267818,
      "title": "Question about scripts used to create Nifti images for both tasks. ",
      "comment_count": 4,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 265255,
      "title": "Cases of Submission failure and success",
      "comment_count": 6,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 275233,
      "title": "Leak in metadata?",
      "comment_count": 17,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 274872,
      "title": "Does anyone have a scalable way to identify which slices contain the tumors?",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 270311,
      "title": "How to load efficientnet without internet-access",
      "comment_count": 9,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 273338,
      "title": "AUC not inversly related to loss",
      "comment_count": 7,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 266855,
      "title": "DICOM to NifiTi with dcmstack",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 271902,
      "title": "Why are people using 2d cnn ?",
      "comment_count": 33,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 274476,
      "title": "If LB Probing receive MEDAL?",
      "comment_count": 10,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 273525,
      "title": "Why are most of the notebooks using FLAIR images?",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 274493,
      "title": "Questions about dataset and its preprocessing",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 273748,
      "title": "What is a lucky run?Is it good to pick a lucky run notebook for final 2 submissions?",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 274175,
      "title": "Public NB having High Scores are Useless ",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 266461,
      "title": "Feature extraction tools",
      "comment_count": 9,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 274612,
      "title": "I want to insert a dataset of a directory structure into a kaggle dataset.",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 260948,
      "title": "2d efficientnet or 3d efficientnet?",
      "comment_count": 2,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 274243,
      "title": "Choice of Image depth along the network",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 273671,
      "title": "Research papers about classification of MGMT status from MRI",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 265164,
      "title": "[Info] Multi-Modal MRI Spatial Alignment Network",
      "comment_count": 6,
      "views": 0,
      "votes": 37,
      "reused": true
    },
    {
      "id": 274317,
      "title": "Data changing",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 272714,
      "title": "Problem submitting the scores.",
      "comment_count": 10,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 273639,
      "title": "High validation AUC vs. Low score (85% vs. 57%!)",
      "comment_count": 11,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 273655,
      "title": "Thoughts on Expected AUC for Random classifier on public test set",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 274183,
      "title": "Notebook to export series in any plane",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 273825,
      "title": "Team for problem",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 273466,
      "title": "🔥 What is MGMT-value exactly? Can you help me?🔥 ",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 273700,
      "title": "HOW TO LOAD TEST DATA TO DF WITHOUT SUBMISSION SCORING ERROR ",
      "comment_count": 2,
      "views": 0,
      "votes": -1,
      "reused": true
    },
    {
      "id": 271955,
      "title": "Can the MGMT promoter value be detected visually?",
      "comment_count": 5,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 273096,
      "title": "Getting issues with memory while converting all images to numpy array and not able to execute in kaggle notebook instance. is there any alternative to get rid of memory issues",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 273169,
      "title": "My model's accuracy doesn't change over 24 epochs",
      "comment_count": 10,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 263635,
      "title": "Time out concern for the private testing data",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 272995,
      "title": "Where is the reason to use lb probing???",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 253056,
      "title": "Brain Tumor Datasets and Solutions from Previous Editions",
      "comment_count": 5,
      "views": 0,
      "votes": 81,
      "reused": true
    },
    {
      "id": 271799,
      "title": "not 3dconv，should 2dconv",
      "comment_count": 8,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 272619,
      "title": "Train_loss, Val_loss (BCEwithlogits) ... can't get two things...",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 272876,
      "title": "A RSNA MRI Solution: From DICOM To Submission",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 272217,
      "title": "area under the ROC curve",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 271214,
      "title": "Changing Random Seeds can get you from 0.540 to 0.710 in no time",
      "comment_count": 21,
      "views": 0,
      "votes": 43,
      "reused": true
    },
    {
      "id": 272278,
      "title": "Data is not appending to DF",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 272224,
      "title": "How can I transfer the file I created in the output directory to the input directory?",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 271768,
      "title": "Notebook Threw Exception",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 272309,
      "title": "Submission Scoring Error",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 270832,
      "title": " Transfer Learning  , Does it work for you ?",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 252843,
      "title": "Differences in MRI imaging methods - MRIの撮影方法の違いについて",
      "comment_count": 10,
      "views": 0,
      "votes": 99,
      "reused": true
    },
    {
      "id": 272446,
      "title": "my thought about this competition",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 271945,
      "title": "How will experts choose the two final submission ?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 271906,
      "title": "[HELP] Notebook Threw Exception",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 252900,
      "title": "Segmentation → Classification Approach?",
      "comment_count": 23,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 271786,
      "title": "Writing my CV / LB observations",
      "comment_count": 0,
      "views": 0,
      "votes": 18
    },
    {
      "id": 271524,
      "title": "Scan 00998 a bad data?",
      "comment_count": 3,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 256706,
      "title": "Hand Labelling the Public Test Set For Validation Purposes",
      "comment_count": 40,
      "views": 0,
      "votes": 45,
      "reused": true
    },
    {
      "id": 271039,
      "title": "Does anyone think train_labels file made something wrong?",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 271573,
      "title": "Doubt on Data format",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 271572,
      "title": "What problems does this dataset have?",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 271188,
      "title": "How can I include only relevant images in my Data?",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 270382,
      "title": "Transformer ",
      "comment_count": 11,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 270668,
      "title": "Preparing Data for a 3D CNN Model",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 252901,
      "title": "Easiest way to download and work with data",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 268800,
      "title": "Has anybody tried using google colab here ?",
      "comment_count": 4,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 267448,
      "title": "Study of different useful kaggle datasets related with Brain and M.L. class.",
      "comment_count": 5,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 268520,
      "title": "Is it possible to convert NIFTI to DICOM files?",
      "comment_count": 19,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 271213,
      "title": "Code requirment - test files ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 268017,
      "title": "Discussion: CV & Loss",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 270868,
      "title": "Huge difference between the CV AUC and public score",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 267257,
      "title": "DICOM to NifiTi with TorchIO",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 270560,
      "title": "Will pesudo-probing submissions also cause disqualification ?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 270627,
      "title": "Code requirments",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 270722,
      "title": "🤓🤓 Classical Techniques - Feature Engineering  🤓🤓",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270535,
      "title": "Question on basic dicom load and processing functions",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 269801,
      "title": "different results in local and kaggle",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 269846,
      "title": "Notebook Submission",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 270437,
      "title": "Notebook Threw Exception",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 270510,
      "title": "Amazon EC2 Instance for the competition ",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 270223,
      "title": "Using HandLabelled 22% Test for validation",
      "comment_count": 6,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 264861,
      "title": "[Self-Note] \"Brain tumor classification\" is misleading!",
      "comment_count": 18,
      "views": 0,
      "votes": 57,
      "reused": true
    },
    {
      "id": 270349,
      "title": "Notebook Timeout",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 270009,
      "title": "Volume Normalization",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 252838,
      "title": "Previous Gold medal solutions to RSNA Intracranial Hemorrhage Detection",
      "comment_count": 6,
      "views": 0,
      "votes": 97,
      "reused": true
    },
    {
      "id": 268131,
      "title": "submission problem",
      "comment_count": 5,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 269437,
      "title": "All [MRI TYPES] once is what u need",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 269919,
      "title": "preprocessing Train / Test data - organizers",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 269609,
      "title": "🔥Wow four people with score more than 0.87🔥",
      "comment_count": 5,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 269772,
      "title": "Still cannot understand how I can load sequential images to the model.",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 269272,
      "title": "How can I load data into my model?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 268393,
      "title": "Normalisation",
      "comment_count": 8,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 269599,
      "title": "Using 2D CNN ? ",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 269383,
      "title": "How to prepare the data for  model",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 269740,
      "title": "Notebook to determine MR slice orientation",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 252942,
      "title": "Extract DICOM metadata",
      "comment_count": 6,
      "views": 0,
      "votes": 49,
      "reused": true
    },
    {
      "id": 268386,
      "title": "How is there a Leaderboard of score 1 ",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 269626,
      "title": "3D CNN ideas",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 269481,
      "title": "HL dataset question(s)",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 268351,
      "title": "Wow public LB 1.0!!! ",
      "comment_count": 33,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 269463,
      "title": "Preprocessed data dicom -> png (512,224) with meta data  📌",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 269377,
      "title": "Could not list notebooks: Unexpected token < in JSON at position 0",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 269359,
      "title": "Task 1 or task 2 for final evaluation?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 269292,
      "title": "HL public results",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 267750,
      "title": "Better Understanding Of What We Are Really Doing",
      "comment_count": 8,
      "views": 0,
      "votes": 78,
      "reused": true
    },
    {
      "id": 267291,
      "title": "Notebook Threw Exception",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 266679,
      "title": "Task 1 Dataset Uploaded",
      "comment_count": 21,
      "views": 0,
      "votes": 41,
      "reused": true
    },
    {
      "id": 252833,
      "title": "Papers on Radiogenomics and Machine Learning",
      "comment_count": 35,
      "views": 0,
      "votes": 112,
      "reused": true
    },
    {
      "id": 268621,
      "title": "Freeze or No Freeze in Transfer Learning ? ",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 268562,
      "title": "TFRecord for faster training and using TPU ",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 268414,
      "title": "Exporting model in Onnx",
      "comment_count": 2,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 268426,
      "title": "LB Probing strategy, Good or Bad and Why?",
      "comment_count": 6,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 268689,
      "title": "Error when using lr_find() of fastai",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 253488,
      "title": "Using data from Task 1?",
      "comment_count": 25,
      "views": 0,
      "votes": 84,
      "reused": true
    },
    {
      "id": 268169,
      "title": "Task 1 Dataset with UNET output (300/1251 Imgs) for segmentation purposes",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 268378,
      "title": "notebook version management",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 267245,
      "title": "RuntimeError",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 267375,
      "title": "Use your own preprocessed dataset",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 267380,
      "title": "Notebook for determining slice order",
      "comment_count": 4,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 267239,
      "title": "Image order intra-series",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 267714,
      "title": "Wrong DICOM metadata patient 108, T2w",
      "comment_count": 4,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 266609,
      "title": "3D or 2D neural network?",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 267916,
      "title": "Task 1 and Task 2 Comparison",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 265234,
      "title": "EfficientNet3D Training: val_score=0.5",
      "comment_count": 19,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 252921,
      "title": "Question for the organizers: preprocessing",
      "comment_count": 8,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 264213,
      "title": "Notebook threw exception ",
      "comment_count": 7,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 267660,
      "title": "question about dicom api？",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 266729,
      "title": "How to group data by institution?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 255567,
      "title": "Why Do pre-trained neural networks work so well?",
      "comment_count": 9,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 267439,
      "title": "Models Never Converge ??",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 267423,
      "title": "Is label 1 the tumor?",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 266452,
      "title": "🔥How we can convert dataset in different modalities to 2D images?🔥",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 267288,
      "title": "[Info] Keras : layer_range to plot model",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 252968,
      "title": "Empty images on DICOM files 🤔",
      "comment_count": 4,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 266237,
      "title": "Is the public score almost random ",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 267076,
      "title": "GPU runs out of memory",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 266984,
      "title": "Non notebook submission",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 266159,
      "title": "Overfitting",
      "comment_count": 7,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 266895,
      "title": "Paper on Augmentation Techniques for MRI Scans of the Brain",
      "comment_count": 3,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 266622,
      "title": "Import BraTS 2021 Dataset from Synapse to Kaggle",
      "comment_count": 4,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 266685,
      "title": "Is every series in train, validation and test of the same anatomy coordinate system ? (LPS, RAI, ..) ?",
      "comment_count": 3,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 266570,
      "title": "PNG DATASET?",
      "comment_count": 5,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 266655,
      "title": "Is there a private train set?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 266238,
      "title": "Can we still participate in the challenge, if we fail to submit a paper until August 20?",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 264064,
      "title": "WE SHOULD CHECK IMAGE SHAPE FROM DATASET",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 266557,
      "title": "Please assist how to solve notebook time out error",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 264182,
      "title": "Understanding the differences between T1w, T1wCE, T2w and FLAIR",
      "comment_count": 3,
      "views": 0,
      "votes": 33,
      "reused": true
    },
    {
      "id": 266292,
      "title": "Offline pip install",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 264850,
      "title": "Model performance metrics",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 265950,
      "title": "Submissions part is not quite clear",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 264465,
      "title": "The input shape of 3D CNN model ",
      "comment_count": 8,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 264087,
      "title": "Possible Solutions To CV *NOT* Correlating LB.",
      "comment_count": 4,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 266007,
      "title": "What does submission scoring error mean?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 266166,
      "title": "[Info] Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 265969,
      "title": "My submission is broken. ",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 265984,
      "title": "Submission Scoring Error",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 264769,
      "title": "Collection of Tricks within Data Preprocessing",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 265707,
      "title": "Are we given test labels, to check our results. ",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 255352,
      "title": "[CV vs LB]",
      "comment_count": 16,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 263587,
      "title": "Very slow dataloader/low gpu utilization - any tips?",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 265166,
      "title": "Notebook throws unknow exception",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 265195,
      "title": "\"TPU Socket closed\" problem",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 265229,
      "title": "Do all patients have brain cancer?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 262103,
      "title": " Efficientnet3D code for non-notebook users",
      "comment_count": 10,
      "views": 0,
      "votes": 29,
      "reused": true
    },
    {
      "id": 256051,
      "title": "[Introducing] Visualize the entire dataset using W&B Tables",
      "comment_count": 8,
      "views": 0,
      "votes": 33,
      "reused": true
    },
    {
      "id": 263956,
      "title": "External Datasets",
      "comment_count": 6,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 264971,
      "title": "Please elaborate \"CPU Notebook <= 9 hours run-time\" and \"Internet access disabled\", Does it mean I won't be able to run training for 9 hours on cpu and not able to install any additional python packages?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 254577,
      "title": "dicom to nifti preprocessing",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 264072,
      "title": "Are MRI types directly compareable?",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 264809,
      "title": "Best initial notebook up to date ?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 264609,
      "title": "Do you know why the 2D images are not all the same shape?",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 264455,
      "title": "How to upload my results?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 263002,
      "title": "3D UNet Classisfication",
      "comment_count": 5,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 256439,
      "title": "Is There a better Loss Function?",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 264073,
      "title": "hounsfield units ranges for brain scans",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 264513,
      "title": "Using all the data.",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 264446,
      "title": "Resource to learn about 3D Image Preprocessing and 3D conv net training and prediction",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 264068,
      "title": "FastAI: No stats displayed when using One Cycle",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 263347,
      "title": "Questions regarding submission of notebook",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 263867,
      "title": "SIIM-FISABIO-RSNA COVID-19 Detection Winner Solutions",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 262470,
      "title": "how to convert DICOM to NIfTI?",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 263639,
      "title": "Regarding Submission",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 262978,
      "title": "Dataset Structure - RAM Memory Problem",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 263422,
      "title": "Can you ensure the reproducibility of PyTorch?",
      "comment_count": 3,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 263551,
      "title": "Load pretrained model into FastAI",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 255607,
      "title": "Apperently the author is more important then the code",
      "comment_count": 17,
      "views": 0,
      "votes": 40,
      "reused": true
    },
    {
      "id": 253234,
      "title": "The cause of the tumor and its cure",
      "comment_count": 6,
      "views": 0,
      "votes": -2,
      "reused": true
    },
    {
      "id": 262869,
      "title": "Regarding submission",
      "comment_count": 7,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 262751,
      "title": "Prediction Accuracy vs Area under ROC",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 253412,
      "title": "What is the secret behind random seed 42?",
      "comment_count": 32,
      "views": 0,
      "votes": 28,
      "reused": true
    },
    {
      "id": 252931,
      "title": "What is `BraTS21ID`in training CSV and how does it map to the actual Images?",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 262017,
      "title": "Test set clarification",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 253074,
      "title": "Overview of fastai notebooks - Redux",
      "comment_count": 3,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 261300,
      "title": "how to upload data set to gcp buket? ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 256480,
      "title": "Use the key frames from data samples",
      "comment_count": 1,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 258471,
      "title": "Why is Internet access disabled?",
      "comment_count": 5,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 255613,
      "title": "Dataset Explaination",
      "comment_count": 1,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 258151,
      "title": "Normalization",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 257189,
      "title": "Cross Validation/Validation Strategies (Tips & Tricks)",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 254417,
      "title": "[Compilation] RSNA MICCAI Brain Tumor Radiogenomic Classification : Good Baseline solutions",
      "comment_count": 12,
      "views": 0,
      "votes": 39,
      "reused": true
    },
    {
      "id": 253736,
      "title": "Pretrained 3D-CNNs and other resources",
      "comment_count": 13,
      "views": 0,
      "votes": 67,
      "reused": true
    },
    {
      "id": 255599,
      "title": "Potentially Useful Literature on Multimodal Deep Learning",
      "comment_count": 12,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 254809,
      "title": "T1wCE Sometimes Weird Orientation/Dimensions",
      "comment_count": 6,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 255995,
      "title": "questions about the data.",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 253818,
      "title": "3D medical image pretrained segmentation nets",
      "comment_count": 1,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 256078,
      "title": "Tpu GCS Error",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 255540,
      "title": "Confusion about the genetic analysis aspect metioned in the Overview. ",
      "comment_count": 4,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 255280,
      "title": "How to merge nifti format files and modify them for input in DL model?",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 255574,
      "title": "Dataset in nii.gz",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 255319,
      "title": "why Black image in data ?",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 255374,
      "title": "Visualisation in video format.",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 255323,
      "title": "Preventing Model Underfitting on 78% of test set",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 254924,
      "title": "Modelling And Initailized Random Weights",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 252897,
      "title": "How to download and work with data?",
      "comment_count": 12,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 255062,
      "title": "EMOGI can also explain the relationships in the cell’s machinery that make a gene a cancer gene",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 254798,
      "title": "Simillar datasets ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 254935,
      "title": "Private test set size",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 254724,
      "title": "Loss function 🤔",
      "comment_count": 4,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 254844,
      "title": "Pre-trained imagenet weights for 3d models (Keras)",
      "comment_count": 1,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 253182,
      "title": "Good resources for 3D Convolutional models",
      "comment_count": 11,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 254808,
      "title": "Lessons learnt from professional experience in Healthcare",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 253991,
      "title": "Query regarding pre-processing and feature extraction on the Raw Images",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 254761,
      "title": "Any resources on how to convert mutiple dicom files to tiff format?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 254666,
      "title": "Pytorch Error : DataLoader worker is killed by signal",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 254361,
      "title": "How to pre-process dicom images for using it on DL model?",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 254251,
      "title": "Uploading previously trained models",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 254383,
      "title": "Queries regarding submission",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 253185,
      "title": "Submissión through Notebooks? ",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 254190,
      "title": "So only python allowed yes?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 254238,
      "title": "MICCAI Paper submission ",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 253843,
      "title": "How to handle the depth of each scan.",
      "comment_count": 8,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 254030,
      "title": "Notebook to export all series planes",
      "comment_count": 13,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 254236,
      "title": "Notebook for drawing reference lines on MR images",
      "comment_count": 0,
      "views": 0,
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      "id": 252961,
      "title": "Is the cancer grade same across all images?",
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      "votes": 7,
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      "id": 252886,
      "title": "What will we get under Area of ROC curve here?",
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      "reused": true
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      "id": 253070,
      "title": "Notebook for adjusting contrast on MR images",
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      "votes": 5,
      "reused": true
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      "id": 252882,
      "title": "Misleading dataset size?",
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      "reused": true
    },
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      "id": 252909,
      "title": "How to load the data to make a model on it",
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      "reused": true
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    {
      "id": 252840,
      "title": "What is Glioblastoma?",
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      "votes": 8
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