Hey all,
\nas I am currently transitioning from a business trip right into vacation (where access to electricity let alone internet will be scarce) we will require more time to prepare the writeup of our solution. I expect to have everything completed by June 16th or 17th.
\nAs you can see from our profiles we are all quite new to Kaggle. This is in fact the first competition I have seriously competed in. Thus we are not entirely familiar with the speed in which we are expected to deliver. Please let us know in case this is too late - the team could then try to deliver something at an earlier date (it would however be preferable to be able to do this together).
\nFor those of you that are curious, our solution is based on nnU-Net, one of the leading segmentation frameworks for 3D medical images. We use it to do blob prediction (pixel-wise regression) with a 3D UNet. It's actually quite a straightforward approach which shares a lot of similarities with @brendanartley 's solution. More to follow :-)
\nThanks to @andrewjdarley for hosting this amazing competition, thanks @brendanartley for generously sharing his annotated data and of course a big thanks to the team! You are awesome!
Hey all,
\nas I am currently transitioning from a business trip right into vacation (where access to electricity let alone internet will be scarce) we will require more time to prepare the writeup of our solution. I expect to have everything completed by June 16th or 17th.
\nAs you can see from our profiles we are all quite new to Kaggle. This is in fact the first competition I have seriously competed in. Thus we are not entirely familiar with the speed in which we are expected to deliver. Please let us know in case this is too late - the team could then try to deliver something at an earlier date (it would however be preferable to be able to do this together).
\nFor those of you that are curious, our solution is based on nnU-Net, one of the leading segmentation frameworks for 3D medical images. We use it to do blob prediction (pixel-wise regression) with a 3D UNet. It's actually quite a straightforward approach which shares a lot of similarities with @brendanartley 's solution. More to follow :-)
\nThanks to @andrewjdarley for hosting this amazing competition, thanks @brendanartley for generously sharing his annotated data and of course a big thanks to the team! You are awesome!
June 16th and 17th would be fine to post the writeup. Our expectations are within two weeks of the end of the competition so that should be fine. Thank you for your participation and we look forward to seeing your solution!
", "rawMarkdown": "June 16th and 17th would be fine to post the writeup. Our expectations are within two weeks of the end of the competition so that should be fine. Thank you for your participation and we look forward to seeing your solution!", "votes": null }, { "id": "3218764", "postDate": "06/06/2025 17:18:44", "content": "hello, Sir, I want to know that when will the final result of the competition be confirmed. So many thanks.
", "rawMarkdown": "hello, Sir, I want to know that when will the final result of the competition be confirmed. So many thanks.", "votes": null }, { "id": "3218768", "postDate": "06/06/2025 17:24:33", "content": "Right now we're waiting on Kaggle's compliance team to filter out the leaderboard before we announce the final results. Besides that, we won't make any changes to the leaderboard.
", "rawMarkdown": "Right now we're waiting on Kaggle's compliance team to filter out the leaderboard before we announce the final results. Besides that, we won't make any changes to the leaderboard.", "votes": null }, { "id": "3226152", "postDate": "06/17/2025 10:11:24", "content": "https://www.kaggle.com/competitions/byu-locating-bacterial-flagellar-motors-2025/discussion/584980
\n:-)
", "rawMarkdown": "https://www.kaggle.com/competitions/byu-locating-bacterial-flagellar-motors-2025/discussion/584980\n\n:-)", "votes": null } ], "comments": [ { "id": 3218762, "author_name": "andrewjdarley", "author_url": "", "post_date": "06/06/2025 17:16:05", "content": "June 16th and 17th would be fine to post the writeup. Our expectations are within two weeks of the end of the competition so that should be fine. Thank you for your participation and we look forward to seeing your solution!
", "votes": null, "replies": [ { "id": 3218764, "author_name": "jamesjklin", "author_url": "", "post_date": "06/06/2025 17:18:44", "content": "hello, Sir, I want to know that when will the final result of the competition be confirmed. So many thanks.
", "votes": null, "replies": [ { "id": 3218768, "author_name": "andrewjdarley", "author_url": "", "post_date": "06/06/2025 17:24:33", "content": "Right now we're waiting on Kaggle's compliance team to filter out the leaderboard before we announce the final results. Besides that, we won't make any changes to the leaderboard.
", "votes": null, "replies": [] } ] } ] }, { "id": 3226152, "author_name": "fabianisensee", "author_url": "", "post_date": "06/17/2025 10:11:24", "content": "https://www.kaggle.com/competitions/byu-locating-bacterial-flagellar-motors-2025/discussion/584980
\n:-)
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "3218560": "Hey all, \nas I am currently transitioning from a business trip right into vacation (where access to electricity let alone internet will be scarce) we will require more time to prepare the writeup of our solution. I expect to have everything completed by June 16th or 17th.\nAs you can see from our profiles we are all quite new to Kaggle. This is in fact the first competition I have seriously competed in. Thus we are not entirely familiar with the speed in which we are expected to deliver. Please let us know in case this is too late - the team could then try to deliver something at an earlier date (it would however be preferable to be able to do this together).\nFor those of you that are curious, our solution is based on [nnU-Net](https://github.com/MIC-DKFZ/nnUNet), one of the leading segmentation frameworks for 3D medical images. We use it to do blob prediction (pixel-wise regression) with a 3D UNet. It's actually quite a straightforward approach which shares a lot of similarities with @brendanartley 's solution. More to follow :-)\nThanks to @andrewjdarley for hosting this amazing competition, thanks @brendanartley for generously sharing his annotated data and of course a big thanks to the team! You are awesome!", "3218762": "June 16th and 17th would be fine to post the writeup. Our expectations are within two weeks of the end of the competition so that should be fine. Thank you for your participation and we look forward to seeing your solution!", "3218764": "hello, Sir, I want to know that when will the final result of the competition be confirmed. So many thanks.", "3218768": "Right now we're waiting on Kaggle's compliance team to filter out the leaderboard before we announce the final results. Besides that, we won't make any changes to the leaderboard.", "3226152": "https://www.kaggle.com/competitions/byu-locating-bacterial-flagellar-motors-2025/discussion/584980\n\n:-)" }, "source": "meta" }