%0 Conference Paper %1 conf/miccai/ShenJG20 %A Shen, Yan %A Ji, Zhanghexuan %A Gao, Mingchen %B MLMI@MICCAI %D 2020 %E Liu, Mingxia %E Yan, Pingkun %E Lian, Chunfeng %E Cao, Xiaohuan %I Springer %K dblp %P 532-541 %T An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation. %U http://dblp.uni-trier.de/db/conf/miccai/mlmi2020.html#ShenJG20 %V 12436 %@ 978-3-030-59861-7

@inproceedings{conf/miccai/ShenJG20, added-at = {2024-09-30T00:00:00.000+0200}, author = {Shen, Yan and Ji, Zhanghexuan and Gao, Mingchen}, biburl = {https://www.bibsonomy.org/bibtex/29737b1566125fbadb8e48c5da8bff27f/dblp}, booktitle = {MLMI@MICCAI}, crossref = {conf/miccai/2020mlmi}, editor = {Liu, Mingxia and Yan, Pingkun and Lian, Chunfeng and Cao, Xiaohuan}, ee = {https://doi.org/10.1007/978-3-030-59861-7_54}, interhash = {e564ebe8a72ec3cc8bf20a53df8257a6}, intrahash = {9737b1566125fbadb8e48c5da8bff27f}, isbn = {978-3-030-59861-7}, keywords = {dblp}, pages = {532-541}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2024-10-07T09:33:38.000+0200}, title = {An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation.}, url = {http://dblp.uni-trier.de/db/conf/miccai/mlmi2020.html#ShenJG20}, volume = 12436, year = 2020 }