UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

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.

U-net: Convolutional networks for biomedical image segmentation

Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015

Earlier work this paper cites.

3d u-net: learning dense volumetric segmentation from sparse annotation

Özgün Çiçek, Ahmed Abdulkadir, Soeren S Lienkamp, Thomas Brox, and Olaf Ronneberger · 2016

Earlier work this paper cites.

3d deeply supervised network for automatic liver segmentation from ct volumes

Qi Dou, Hao Chen, Yueming Jin, Lequan Yu, Jing Qin, and Pheng-Ann Heng · 2016

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V-net: Fully convolutional neural networks for volumetric medical image segmentation

Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016

Earlier work this paper cites.

Large kernel matters–improve semantic segmentation by global convolutional network

Chao Peng, Xiangyu Zhang, Gang Yu, Guiming Luo, and Jian Sun · 2017

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Hierarchical 3d fully convolutional networks for multi-organ segmentation

Original

Holger R Roth, Hirohisa Oda, Yuichiro Hayashi, Masahiro Oda, Natsuki Shimizu, Michitaka Fujiwara, Kazunari Misawa, and Kensaku Mori · 2017

Earlier work this paper cites.

Pyramid scene parsing network

Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017

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Deeply-supervised cnn for prostate segmentation

Original

Qikui Zhu, Bo Du, Baris Turkbey, Peter L Choyke, and Pingkun Yan · 2017

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Encoder-decoder with atrous separable convolution for semantic image segmentation

Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018

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Automatic multi-organ segmentation on abdominal ct with dense v-networks

Eli Gibson, Francesco Giganti, Yipeng Hu, Ester Bonmati, Steve Bandula, Kurinchi Gurusamy, Brian Davidson, Stephen P Pereira, Matthew J Clarkson, and Dean C Barratt · 2018

Earlier work this paper cites.

Unet++: A nested u-net architecture for medical image segmentation

Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, and Jianming Liang · 2018

Earlier work this paper cites.

Generating long sequences with sparse transformers

Original

Rewon Child, Scott Gray, Alec Radford, and Ilya Sutskever · 2019

Cited alongside, same era.

A large annotated medical image dataset for the development and evaluation of segmentation algorithms, 2019

Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan H. Heckers, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, and M. Jorge Cardoso · 2019

Cited alongside, same era.

Dense-unet: a novel multiphoton in vivo cellular image segmentation model based on a convolutional neural network

Sijing Cai, Yunxian Tian, Harvey Lui, Haishan Zeng, Yi Wu, and Guannan Chen · 2020

Cited alongside, same era.

End-to-end object detection with transformers

Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020

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

Later among the works it cites.

Convolution-free medical image segmentation using transformers

Davood Karimi, Serge Didenko Vasylechko, and Ali Gholipour · 2021

Later among the works it cites.

Swin transformer: Hierarchical vision transformer using shifted windows

Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021

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Medical transformer: Gated axial-attention for medical image segmentation

Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, and Vishal M Patel · 2021

Later among the works it cites.

Transbts: Multimodal brain tumor segmentation using transformer

Wenxuan Wang, Chen Chen, Meng Ding, Hong Yu, Sen Zha, and Jiangyun Li · 2021

Later among the works it cites.