Fetching the paper…
Reading the bibliography…
Deep learning-based medical image segmentation models often suffer from domain shift, where the models trained on a source domain do not generalize well to other unseen domains.
Domain generalization via invariant feature representation
Krikamol Muandet, David Balduzzi, and Bernhard Schölkopf · 2013
Earlier work this paper cites.
Evaluation of prostate segmentation algorithms for mri: the promise12 challenge
Geert Litjens, Robert Toth, Wendy van de Ven, Caroline Hoeks, Sjoerd Kerkstra, Bram van Ginneken, Graham Vincent, Gwenael Guillard, Neil Birbeck, Jindang Zhang, et al · 2014
Earlier work this paper cites.
Unsupervised domain adaptation by backpropagation
Yaroslav Ganin and Victor Lempitsky · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge
Bennett Landman, Zhoubing Xu, J Igelsias, Martin Styner, T Langerak, and Arno Klein · 2015
Earlier work this paper cites.
NCI-ISBI 2013 challenge: Automated segmentation of prostate structures, 2015
Bloch N., Madabhushi A., Huisman H., Freymann J., et al · 2015
Earlier work this paper cites.
Computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric mri: a review
Guillaume Lemaître, Robert Martí, Jordi Freixenet, Joan C Vilanova, Paul M Walker, and Fabrice Meriaudeau · 2015
Earlier work this paper cites.
Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
Earlier work this paper cites.
Med3d: Transfer learning for 3d medical image analysis
Sihong Chen, Kai Ma, and Yefeng Zheng · 2019
Earlier work this paper cites.
Realistic adversarial data augmentation for mr image segmentation
Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, and Daniel Rueckert · 2020
Earlier work this paper cites.
Domain adaptation for medical image analysis: a survey
Hao Guan and Mingxia Liu · 2021
Cited alongside, same era.
Models genesis
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B Gotway, and Jianming Liang · 2021
Cited alongside, same era.
Robust and generalizable visual representation learning via random convolutions
Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, and Marc Niethammer · 2021
Cited alongside, same era.
Chaos challenge-combined (ct-mr) healthy abdominal organ segmentation
A Emre Kavur, N Sinem Gezer, Mustafa Barış, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savaş Özkan, et al · 2021
Cited alongside, same era.
nnu-net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F Jaeger, Simon AA Kohl, Jens Petersen, and Klaus H Maier-Hein · 2021
Cited alongside, same era.
Maxstyle: Adversarial style composition for robust medical image segmentation
Medical sam adapter: Adapting segment anything model for medical image segmentation
Junde Wu, Rao Fu, Huihui Fang, Yuanpei Liu, Zhaowei Wang, Yanwu Xu, Yueming Jin, and Tal Arbel · 2023
Closest in time.
Customized segment anything model for medical image segmentation
Kaidong Zhang and Dong Liu · 2023
Closest in time.
Polyp-sam: Transfer sam for polyp segmentation
Yuheng Li, Mingzhe Hu, and Xiaofeng Yang · 2023
Closest in time.
Sam. md: Zero-shot medical image segmentation capabilities of the segment anything model
Saikat Roy, Tassilo Wald, Gregor Koehler, Maximilian R Rokuss, Nico Disch, Julius Holzschuh, David Zimmerer, and Klaus H Maier-Hein · 2023
Closest in time.
Mba-net: Sam-driven bidirectional aggregation network for ovarian tumor segmentation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, and Daniel Rueckert · 2022
Cited alongside, same era.
Causality-inspired single-source domain generalization for medical image segmentation
Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, and Daniel Rueckert · 2022
Cited alongside, same era.
Unetr: Transformers for 3d medical image segmentation
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett Landman, Holger R Roth, and Daguang Xu · 2022
Cited alongside, same era.
An anatomy-aware framework for automatic segmentation of parotid tumor from multimodal mri
Yifan Gao, Yin Dai, Fayu Liu, Weibing Chen, and Lifu Shi · 2023
Cited alongside, same era.
Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
Cited alongside, same era.
Yifan Gao, Wei Xia, Wenkui Wang, and Xin Gao · 2023
Closest in time.
Segment everything everywhere all at once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, and Yong Jae Lee · 2024
Closest in time.
Segment anything in medical images
Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, and Bo Wang · 2024
Closest in time.
Segment anything in 3d with nerfs
Jiazhong Cen, Zanwei Zhou, Jiemin Fang, Wei Shen, Lingxi Xie, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, et al · 2024
Closest in time.
Segment anything, from space?
Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M Collins, Kyle Bradbury, and Jordan M Malof · 2024
Closest in time.