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Skull stripping is a crucial prerequisite step in the analysis of brain magnetic resonance images (MRI).
Magnetic resonance image tissue classification using a partial volume model
David W Shattuck, Stephanie R Sandor-Leahy, Kirt A Schaper, David A Rottenberg, and Richard M Leahy · 2001
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Fast robust automated brain extraction
Stephen M Smith · 2002
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The alzheimer’s disease neuroimaging initiative (adni): Mri methods
Clifford R Jack Jr, Matt A Bernstein, Nick C Fox, Paul Thompson, Gene Alexander, Danielle Harvey, Bret Borowski, Paula J Britson, Jennifer L. Whitwell, Chadwick Ward, et al · 2008
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Chapter 7 - object description
Mark S. Nixon and Alberto S. Aguado · 2012
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Beast: brain extraction based on nonlocal segmentation technique
Simon F Eskildsen, Pierrick Coupé, Vladimir Fonov, José V Manjón, Kelvin K Leung, Nicolas Guizard, Shafik N Wassef, Lasse Riis Østergaard, D Louis Collins, Alzheimer’s Disease Neuroimaging Initiative, et al · 2012
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Fourier descriptors for broken shapes
Christoph Dalitz, Christian Brandt, Steffen Goebbels, and David Kolanus · 2013
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3d u-net: learning dense volumetric segmentation from sparse annotation
Özgün Çiçek, Ahmed Abdulkadir, Soeren S Lienkamp, Thomas Brox, and Olaf Ronneberger · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction
Antonios Makropoulos, Emma C Robinson, Andreas Schuh, Robert Wright, Sean Fitzgibbon, Jelena Bozek, Serena J Counsell, Johannes Steinweg, Katy Vecchiato, Jonathan Passerat-Palmbach, et al · 2018
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Brain tumor segmentation and survival prediction using 3d attention unet
Mobarakol Islam, VS Vibashan, V Jose, Navodini Wijethilake, Uppal Utkarsh, and Hongliang Ren · 2019
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Liver vessels segmentation based on 3d residual u-net
Wei Yu, Bin Fang, Yongqing Liu, Mingqi Gao, Shenhai Zheng, and Yi Wang · 2019
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Frnet: Flattened residual network for infant mri skull stripping
Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, and Dinggang Shen · 2019
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Pnp-adanet: Plug-and-play adversarial domain adaptation network at unpaired cross-modality cardiac segmentation
Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, and Pheng-Ann Heng · 2019
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Dika-nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques
Tao Zhong, Fenqiang Zhao, Yuchen Pei, Zhenyuan Ning, Lufan Liao, Zhengwang Wu, Yuyu Niu, Li Wang, Dinggang Shen, Yu Zhang, et al · 2021
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Dispensed transformer network for unsupervised domain adaptation
Yunxiang Li, Jingxiong Li, Ruilong Dan, Shuai Wang, Kai Jin, Guodong Zeng, Jun Wang, Xiangji Pan, Qianni Zhang, Huiyu Zhou, et al · 2021
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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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Agmb-transformer: Anatomy-guided multi-branch transformer network for automated evaluation of root canal therapy
Yunxiang Li, Guodong Zeng, Yifan Zhang, Jun Wang, Qun Jin, Lingling Sun, Qianni Zhang, Qisi Lian, Guiping Qian, Neng Xia, et al · 2021
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Gt u-net: A u-net like group transformer network for tooth root segmentation
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Stand-alone self-attention in vision models
Prajit Ramachandran, Niki Parmar, Ashish Vaswani, Irwan Bello, Anselm Levskaya, and Jon Shlens · 2019
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Attention augmented convolutional networks
Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, and Quoc V. Le · 2019
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Efficient semi-supervised gross target volume of nasopharyngeal carcinoma segmentation via uncertainty rectified pyramid consistency
Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Nianyong Chen, Guotai Wang, and Shaoting Zhang · 2021
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Transbts: Multimodal brain tumor segmentation using transformer
Wenxuan Wang, Chen Chen, Meng Ding, Hong Yu, Sen Zha, and Jiangyun Li · 2021
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Yunxiang Li, Shuai Wang, Jun Wang, Guodong Zeng, Wenjun Liu, Qianni Zhang, Qun Jin, and Yaqi Wang · 2021
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Shuffle transformer: Rethinking spatial shuffle for vision transformer
Zilong Huang, Youcheng Ben, Guozhong Luo, Pei Cheng, Gang Yu, and Bin Fu · 2021
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Multi-site infant brain segmentation algorithms: The iseg-2019 challenge
Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, et al · 2021
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Tent: Fully test-time adaptation by entropy minimization
Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno Olshausen, and Trevor Darrell · 2021
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