{ "id": 253056, "title": "Brain Tumor Datasets and Solutions from Previous Editions", "url": "/competitions/rsna-miccai-brain-tumor-radiogenomic-classification/discussion/253056", "author_name": "", "post_date": "2021-07-14T19:07:47.530153700Z", "votes": 81, "comment_count": 5, "views": 0, "content": "

Hello frens,

\n

This competition is an extension of the previous years BraTS competitions, now with the task of radiogenomic classification.
\nI uploaded the datasets of the previous editions of BraTS (2018, 2019 and 2020), it is available here.

\n

Also, I know of two open sourced solutions that made it into the top 10 of BraTS 2020:
\n1st place solution: github, paper
\nTop 10 solution: github, paper

\n

Hope it Helps,
\nCheers

", "messages": [ { "id": "1388271", "postDate": "07/14/2021 19:07:47", "content": "

Hello frens,

\n

This competition is an extension of the previous years BraTS competitions, now with the task of radiogenomic classification.
\nI uploaded the datasets of the previous editions of BraTS (2018, 2019 and 2020), it is available here.

\n

Also, I know of two open sourced solutions that made it into the top 10 of BraTS 2020:
\n1st place solution: github, paper
\nTop 10 solution: github, paper

\n

Hope it Helps,
\nCheers

", "rawMarkdown": "Hello frens,\n\nThis competition is an extension of the previous years BraTS competitions, now with the task of radiogenomic classification.\nI uploaded the datasets of the previous editions of BraTS (2018, 2019 and 2020), it is [available here](https://www.kaggle.com/andrewmvd/brain-tumor-segmentation-in-mri-brats-2015).\n\nAlso, I know of two open sourced solutions that made it into the top 10 of BraTS 2020:\n1st place solution: [github](https://github.com/MIC-DKFZ/nnUNet), [paper](https://arxiv.org/abs/2011.00848)\nTop 10 solution: [github](https://github.com/lescientifik/open_brats2020), [paper](https://arxiv.org/abs/2011.01045)\n\n\nHope it Helps,\nCheers", "votes": null }, { "id": "1388300", "postDate": "07/14/2021 19:41:19", "content": "

Awesome work, @andrewmvd! Your work inspires this fellow brazilian data scientist over here.

", "rawMarkdown": "Awesome work, @andrewmvd! Your work inspires this fellow brazilian data scientist over here.", "votes": null }, { "id": "1400126", "postDate": "07/26/2021 04:34:38", "content": "

Happy to inspire Jonas!

", "rawMarkdown": "Happy to inspire Jonas!", "votes": null }, { "id": "1405969", "postDate": "07/31/2021 11:19:55", "content": "

Very nice! Thanks for connecting us to this piece as well! Maybe if there is one next year, i will be somewhat possibly prepared :) to do better in code. Already learning so much, so thanks for providing more avenues to get more exposure on this subject.

", "rawMarkdown": "Very nice! Thanks for connecting us to this piece as well! Maybe if there is one next year, i will be somewhat possibly prepared :) to do better in code. Already learning so much, so thanks for providing more avenues to get more exposure on this subject.", "votes": null }, { "id": "1469978", "postDate": "08/13/2021 07:54:29", "content": "

Thanks. It remains only to clarify - is the use of these data sets allowed?

", "rawMarkdown": "Thanks. It remains only to clarify - is the use of these data sets allowed?", "votes": null }, { "id": "1517915", "postDate": "09/20/2021 08:00:55", "content": "

Thank you for putting together these great resources

", "rawMarkdown": "Thank you for putting together these great resources", "votes": null } ], "comments": [ { "id": 1388300, "author_name": "jonaslneri", "author_url": "", "post_date": "07/14/2021 19:41:19", "content": "

Awesome work, @andrewmvd! Your work inspires this fellow brazilian data scientist over here.

", "votes": null, "replies": [ { "id": 1400126, "author_name": "andrewmvd", "author_url": "", "post_date": "07/26/2021 04:34:38", "content": "

Happy to inspire Jonas!

", "votes": null, "replies": [] } ] }, { "id": 1405969, "author_name": "elenaeb", "author_url": "", "post_date": "07/31/2021 11:19:55", "content": "

Very nice! Thanks for connecting us to this piece as well! Maybe if there is one next year, i will be somewhat possibly prepared :) to do better in code. Already learning so much, so thanks for providing more avenues to get more exposure on this subject.

", "votes": null, "replies": [] }, { "id": 1469978, "author_name": "zaakciiru", "author_url": "", "post_date": "08/13/2021 07:54:29", "content": "

Thanks. It remains only to clarify - is the use of these data sets allowed?

", "votes": null, "replies": [] }, { "id": 1517915, "author_name": "clarksaben", "author_url": "", "post_date": "09/20/2021 08:00:55", "content": "

Thank you for putting together these great resources

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1388271": "Hello frens,\n\nThis competition is an extension of the previous years BraTS competitions, now with the task of radiogenomic classification.\nI uploaded the datasets of the previous editions of BraTS (2018, 2019 and 2020), it is [available here](https://www.kaggle.com/andrewmvd/brain-tumor-segmentation-in-mri-brats-2015).\n\nAlso, I know of two open sourced solutions that made it into the top 10 of BraTS 2020:\n1st place solution: [github](https://github.com/MIC-DKFZ/nnUNet), [paper](https://arxiv.org/abs/2011.00848)\nTop 10 solution: [github](https://github.com/lescientifik/open_brats2020), [paper](https://arxiv.org/abs/2011.01045)\n\n\nHope it Helps,\nCheers", "1388300": "Awesome work, @andrewmvd! Your work inspires this fellow brazilian data scientist over here.", "1400126": "Happy to inspire Jonas!", "1405969": "Very nice! Thanks for connecting us to this piece as well! Maybe if there is one next year, i will be somewhat possibly prepared :) to do better in code. Already learning so much, so thanks for providing more avenues to get more exposure on this subject.", "1469978": "Thanks. It remains only to clarify - is the use of these data sets allowed?", "1517915": "Thank you for putting together these great resources" }, "source": "meta" }