{
  "id": 280062,
  "title": "All Solutions Compilation",
  "url": "/competitions/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280062",
  "author_name": "",
  "post_date": "2021-10-20T07:58:45.244462600Z",
  "votes": 23,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Following is the compilation of all solutions shared so far for this competition. </p>\n<ul>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281347\" target=\"_blank\">1st Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280033\" target=\"_blank\">2nd Place</a>, <a href=\"https://www.kaggle.com/minhnhatphan/rnsa-21-cnn-lstm-inference\" target=\"_blank\">Code</a></li>\n<li><a href=\"https://www.kaggle.com/cedricsoares/tf-efficientnet-transfer-learning-strat-split\" target=\"_blank\">3rd Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280029\" target=\"_blank\">4th Place</a> </li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281911\" target=\"_blank\">5th Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280402\" target=\"_blank\">6th Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281374\" target=\"_blank\">7th Place</a> </li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280572\" target=\"_blank\">8th Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/279826\" target=\"_blank\">9th Place</a> </li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/279832\" target=\"_blank\">12th Place</a>, <a href=\"https://www.kaggle.com/gunesevitan/rsna-miccai-btrc-inference-and-blend\" target=\"_blank\">Code</a></li>\n<li><a href=\"https://www.kaggle.com/super13579/vit-vision-transform-3d-with-one-mri-type\" target=\"_blank\">15th Place</a></li>\n<li><a href=\"https://www.kaggle.com/buketdarci/fast-3dcnn-model\" target=\"_blank\">61st Place</a></li>\n<li><a href=\"https://www.kaggle.com/gonzo3832/bt-002-modeef3d-patience3\" target=\"_blank\">84th Place</a></li>\n<li><a href=\"https://www.kaggle.com/jirkaborovec/tumor-classif-lightning-inference\" target=\"_blank\">134th Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280017\" target=\"_blank\">255th Place</a>  </li>\n<li><a href=\"https://www.kaggle.com/femikj/notebook020e60a0c8\" target=\"_blank\">274th Place</a></li>\n<li><a href=\"https://www.kaggle.com/sramirez/medicalnet-volumentations-all-in-1\" target=\"_blank\">299th Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280003\" target=\"_blank\">662nd Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280107\" target=\"_blank\">691st Place</a></li>\n</ul>",
  "messages": [
    {
      "id": "1551010",
      "postDate": "10/20/2021 07:58:45",
      "content": "<p>Following is the compilation of all solutions shared so far for this competition. </p>\n<ul>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281347\" target=\"_blank\">1st Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280033\" target=\"_blank\">2nd Place</a>, <a href=\"https://www.kaggle.com/minhnhatphan/rnsa-21-cnn-lstm-inference\" target=\"_blank\">Code</a></li>\n<li><a href=\"https://www.kaggle.com/cedricsoares/tf-efficientnet-transfer-learning-strat-split\" target=\"_blank\">3rd Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280029\" target=\"_blank\">4th Place</a> </li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281911\" target=\"_blank\">5th Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280402\" target=\"_blank\">6th Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281374\" target=\"_blank\">7th Place</a> </li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280572\" target=\"_blank\">8th Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/279826\" target=\"_blank\">9th Place</a> </li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/279832\" target=\"_blank\">12th Place</a>, <a href=\"https://www.kaggle.com/gunesevitan/rsna-miccai-btrc-inference-and-blend\" target=\"_blank\">Code</a></li>\n<li><a href=\"https://www.kaggle.com/super13579/vit-vision-transform-3d-with-one-mri-type\" target=\"_blank\">15th Place</a></li>\n<li><a href=\"https://www.kaggle.com/buketdarci/fast-3dcnn-model\" target=\"_blank\">61st Place</a></li>\n<li><a href=\"https://www.kaggle.com/gonzo3832/bt-002-modeef3d-patience3\" target=\"_blank\">84th Place</a></li>\n<li><a href=\"https://www.kaggle.com/jirkaborovec/tumor-classif-lightning-inference\" target=\"_blank\">134th Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280017\" target=\"_blank\">255th Place</a>  </li>\n<li><a href=\"https://www.kaggle.com/femikj/notebook020e60a0c8\" target=\"_blank\">274th Place</a></li>\n<li><a href=\"https://www.kaggle.com/sramirez/medicalnet-volumentations-all-in-1\" target=\"_blank\">299th Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280003\" target=\"_blank\">662nd Place</a></li>\n<li><a href=\"https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280107\" target=\"_blank\">691st Place</a></li>\n</ul>",
      "rawMarkdown": "Following is the compilation of all solutions shared so far for this competition. \n\n- [1st Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281347)\n- [2nd Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280033), [Code](https://www.kaggle.com/minhnhatphan/rnsa-21-cnn-lstm-inference)\n- [3rd Place](https://www.kaggle.com/cedricsoares/tf-efficientnet-transfer-learning-strat-split)\n- [4th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280029) \n- [5th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281911)\n- [6th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280402)\n- [7th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281374) \n- [8th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280572)\n- [9th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/279826) \n- [12th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/279832), [Code](https://www.kaggle.com/gunesevitan/rsna-miccai-btrc-inference-and-blend)\n- [15th Place](https://www.kaggle.com/super13579/vit-vision-transform-3d-with-one-mri-type)\n- [61st Place](https://www.kaggle.com/buketdarci/fast-3dcnn-model)\n- [84th Place](https://www.kaggle.com/gonzo3832/bt-002-modeef3d-patience3)\n- [134th Place](https://www.kaggle.com/jirkaborovec/tumor-classif-lightning-inference)\n- [255th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280017)  \n- [274th Place](https://www.kaggle.com/femikj/notebook020e60a0c8)\n- [299th Place](https://www.kaggle.com/sramirez/medicalnet-volumentations-all-in-1)\n- [662nd Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280003)\n- [691st Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280107)",
      "votes": null
    },
    {
      "id": "1553740",
      "postDate": "10/22/2021 13:16:54",
      "content": "<p><a href=\"https://www.kaggle.com/shivamb\" target=\"_blank\">@shivamb</a> Thank you for the compilation. 👍</p>",
      "rawMarkdown": "shivamb Thank you for the compilation. 👍",
      "votes": null
    },
    {
      "id": "1553794",
      "postDate": "10/22/2021 14:27:31",
      "content": "<p>welcome ..</p>",
      "rawMarkdown": "welcome ..",
      "votes": null
    },
    {
      "id": "1564873",
      "postDate": "10/29/2021 18:20:40",
      "content": "<p>Awesome job, thanks for the compilation <a href=\"https://www.kaggle.com/shivamb\" target=\"_blank\">@shivamb</a> !</p>",
      "rawMarkdown": "Awesome job, thanks for the compilation @shivamb !",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1553740,
      "author_name": "towhidultonmoy",
      "author_url": "",
      "post_date": "10/22/2021 13:16:54",
      "content": "<p><a href=\"https://www.kaggle.com/shivamb\" target=\"_blank\">@shivamb</a> Thank you for the compilation. 👍</p>",
      "votes": null,
      "replies": [
        {
          "id": 1553794,
          "author_name": "shivamb",
          "author_url": "",
          "post_date": "10/22/2021 14:27:31",
          "content": "<p>welcome ..</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1564873,
      "author_name": "saurabhbagchi",
      "author_url": "",
      "post_date": "10/29/2021 18:20:40",
      "content": "<p>Awesome job, thanks for the compilation <a href=\"https://www.kaggle.com/shivamb\" target=\"_blank\">@shivamb</a> !</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1551010": "Following is the compilation of all solutions shared so far for this competition. \n\n- [1st Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281347)\n- [2nd Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280033), [Code](https://www.kaggle.com/minhnhatphan/rnsa-21-cnn-lstm-inference)\n- [3rd Place](https://www.kaggle.com/cedricsoares/tf-efficientnet-transfer-learning-strat-split)\n- [4th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280029) \n- [5th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281911)\n- [6th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280402)\n- [7th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/281374) \n- [8th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280572)\n- [9th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/279826) \n- [12th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/279832), [Code](https://www.kaggle.com/gunesevitan/rsna-miccai-btrc-inference-and-blend)\n- [15th Place](https://www.kaggle.com/super13579/vit-vision-transform-3d-with-one-mri-type)\n- [61st Place](https://www.kaggle.com/buketdarci/fast-3dcnn-model)\n- [84th Place](https://www.kaggle.com/gonzo3832/bt-002-modeef3d-patience3)\n- [134th Place](https://www.kaggle.com/jirkaborovec/tumor-classif-lightning-inference)\n- [255th Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280017)  \n- [274th Place](https://www.kaggle.com/femikj/notebook020e60a0c8)\n- [299th Place](https://www.kaggle.com/sramirez/medicalnet-volumentations-all-in-1)\n- [662nd Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280003)\n- [691st Place](https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/280107)",
    "1553740": "shivamb Thank you for the compilation. 👍",
    "1553794": "welcome ..",
    "1564873": "Awesome job, thanks for the compilation @shivamb !"
  },
  "source": "meta"
}