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Journal Articles
- 2024
[j51]Yijie Qu, Tao Lu, Shaoting Zhang, Guotai Wang
:
ScribSD+: Scribble-supervised medical image segmentation based on simultaneous multi-scale knowledge distillation and class-wise contrastive regularization. Comput. Medical Imaging Graph. 116: 102416 (2024)- [j50]Jiangshan Lu, Ran Gu, Wenjun Liao, Shichuan Zhang, Huijun Yu, Shaoting Zhang, Guotai Wang:
Domain composition and attention network trained with synthesized unlabeled images for generalizable medical image segmentation. Neurocomputing 599: 128115 (2024) - [j49]Meng Han, Xiangde Luo, Xiangjiang Xie, Wenjun Liao, Shichuan Zhang, Tao Song, Guotai Wang, Shaoting Zhang:
DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation. Medical Image Anal. 97: 103274 (2024) - [j48]Dejene M. Sime, Guotai Wang, Zhi Zeng, Bei Peng:
Deep learning-based automated steel surface defect segmentation: a comparative experimental study. Multim. Tools Appl. 83(1): 2995-3018 (2024) - [j47]Lanfeng Zhong, Xiangde Luo, Xin Liao, Shaoting Zhang, Guotai Wang:
Semi-supervised pathological image segmentation via cross distillation of multiple attentions and Seg-CAM consistency. Pattern Recognit. 152: 110492 (2024) - [j46]Wenhui Lei, Qi Su, Tianyu Jiang, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang:
One-Shot Weakly-Supervised Segmentation in 3D Medical Images. IEEE Trans. Medical Imaging 43(1): 175-189 (2024) - [j45]Jianghao Wu, Dong Guo, Guotai Wang, Qiang Yue, Huijun Yu, Kang Li, Shaoting Zhang:
FPL+: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation. IEEE Trans. Medical Imaging 43(9): 3098-3109 (2024) - 2023
- [j44]Dejene M. Sime, Guotai Wang, Zhi Zeng, Bei Peng:
Uncertainty-aware and dynamically-mixed pseudo-labels for semi-supervised defect segmentation. Comput. Ind. 152: 103995 (2023) - [j43]Guotai Wang, Xiangde Luo, Ran Gu, Shuojue Yang, Yijie Qu, Shuwei Zhai, Qianfei Zhao, Kang Li, Shaoting Zhang:
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation. Comput. Methods Programs Biomed. 231: 107398 (2023) - [j42]Jianghao Wu, Dong Guo, Lu Wang, Shuojue Yang, Yuanjie Zheng, Jonathan Shapey, Tom Vercauteren, Sotirios Bisdas, Robert Bradford, Shakeel R. Saeed, Neil Kitchen, Sébastien Ourselin, Shaoting Zhang, Guotai Wang:
TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency. Neurocomputing 544: 126295 (2023) - [j41]Guotai Wang, Xingguang Geng, Lin Huang, Xiaoxiao Kang, Jun Zhang, Yitao Zhang, Haiying Zhang:
Multi-Morphological Pulse Signal Feature Point Recognition Based on One-Dimensional Deep Convolutional Neural Network. Inf. 14(2): 70 (2023) - [j40]Donghai Xiang, Wei Xu, Yuting Zhang, Bei Peng, Guotai Wang, Kang Li:
MTMVC: Semi-supervised 3D hand pose estimation using multi-task and multi-view consistency. J. Vis. Commun. Image Represent. 95: 103902 (2023) - [j39]Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83: 102628 (2023) - [j38]Guotai Wang, Shaoting Zhang, Sharon X. Huang, Tom Vercauteren, Dimitris N. Metaxas:
Editorial for special issue on explainable and generalizable deep learning methods for medical image computing. Medical Image Anal. 84: 102727 (2023) - [j37]Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang:
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 87: 102808 (2023) - [j36]Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab:
Fetal brain tissue annotation and segmentation challenge results. Medical Image Anal. 88: 102833 (2023) - [j35]Xiaowei Xu, Yinan Chen, Jianghao Wu, Jiangshan Lu, Yuxiang Ye, Yechong Huang, Xin Dou, Kang Li, Guotai Wang, Shaoting Zhang, Wei Gong:
A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation. Medical Image Anal. 88: 102873 (2023) - [j34]Ran Gu, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. Medical Image Anal. 89: 102904 (2023) - [j33]Jiacheng He, Gang Wang, Kui Cao, He Diao, Guotai Wang, Bei Peng:
Generalized minimum error entropy for robust learning. Pattern Recognit. 135: 109188 (2023) - [j32]Dejene M. Sime, Guotai Wang, Zhi Zeng, Wei Wang, Bei Peng:
Semisupervised Defect Segmentation With Pairwise Similarity Map Consistency and Ensemble-Based Cross Pseudolabels. IEEE Trans. Ind. Informatics 19(9): 9535-9545 (2023) - [j31]Ran Gu, Jingyang Zhang, Guotai Wang, Wenhui Lei, Tao Song, Xiaofan Zhang, Kang Li, Shaoting Zhang:
Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures. IEEE Trans. Medical Imaging 42(1): 245-256 (2023) - [j30]Shuwei Zhai, Guotai Wang, Xiangde Luo, Qiang Yue, Kang Li, Shaoting Zhang:
PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation. IEEE Trans. Medical Imaging 42(8): 2235-2246 (2023) - [j29]Qianfei Zhao, Lanfeng Zhong, Jianghong Xiao, Jingbo Zhang, Yinan Chen, Wenjun Liao, Shaoting Zhang, Guotai Wang:
Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation. IEEE Trans. Medical Imaging 42(9): 2513-2523 (2023) - [j28]Jingyang Zhang, Ran Gu, Peng Xue, Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma, Guotai Wang, Lixu Gu:
S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites. IEEE Trans. Medical Imaging 42(9): 2539-2551 (2023) - [j27]Lanfeng Zhong, Guotai Wang, Xin Liao, Shaoting Zhang:
HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images. IEEE Trans. Medical Imaging 42(10): 2912-2923 (2023) - [j26]Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang:
UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. IEEE Trans. Medical Imaging 42(12): 3932-3943 (2023) - 2022
- [j25]Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching. Medical Image Anal. 75: 102287 (2022) - [j24]Xiangde Luo, Guotai Wang, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Dimitris N. Metaxas, Shaoting Zhang:
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency. Medical Image Anal. 80: 102517 (2022) - [j23]Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris N. Metaxas, Guotai Wang, Shaoting Zhang:
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. Medical Image Anal. 82: 102642 (2022) - [j22]Wei Xu, Donghai Xiang, Guotai Wang, Ruisong Liao, Ming Shao, Kang Li:
Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN). IEEE Trans. Hum. Mach. Syst. 52(2): 196-206 (2022) - [j21]Shuojue Yang, Guotai Wang, Hui Sun, Xiangde Luo, Peng Sun, Kang Li, Qijun Wang, Shaoting Zhang:
Learning COVID-19 Pneumonia Lesion Segmentation From Imperfect Annotations via Divergence-Aware Selective Training. IEEE J. Biomed. Health Informatics 26(8): 3673-3684 (2022) - [j20]Hao Fu, Guotai Wang, Wenhui Lei, Wei Xu, Qianfei Zhao, Shichuan Zhang, Kang Li, Shaoting Zhang:
HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy. IEEE J. Biomed. Health Informatics 26(9): 4519-4529 (2022) - [j19]Guotai Wang, Shuwei Zhai, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou, Shaoting Zhang:
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention. IEEE Trans. Medical Imaging 41(3): 531-542 (2022) - 2021
- [j18]Haochen Mei, Wenhui Lei, Ran Gu, Shan Ye, Zhengwentai Sun, Shichuan Zhang, Guotai Wang:
Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention. Neurocomputing 438: 211-222 (2021) - [j17]Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss. Neurocomputing 442: 184-199 (2021) - [j16]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein:
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. Medical Image Anal. 70: 101920 (2021) - [j15]Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning. Medical Image Anal. 72: 102102 (2021) - [j14]Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. IEEE Trans. Medical Imaging 40(2): 699-711 (2021) - [j13]Lu Wang, Dong Guo, Guotai Wang, Shaoting Zhang:
Annotation-Efficient Learning for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning. IEEE Trans. Medical Imaging 40(10): 2795-2807 (2021) - 2020
- [j12]Jingyang Zhang, Guotai Wang, Hongzhi Xie, Shuyang Zhang, Ning Huang, Shaoting Zhang, Lixu Gu:
Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation. Neurocomputing 417: 114-127 (2020) - [j11]Guotai Wang, Tao Song, Qiang Dong, Mei Cui, Ning Huang, Shaoting Zhang:
Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks. Medical Image Anal. 65: 101787 (2020) - [j10]Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Steven Dymarkowski, Paolo De Coppi, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. NeuroImage 206 (2020) - [j9]Guotai Wang, Xinglong Liu, Chaoping Li, Zhiyong Xu, Jiugen Ruan, Haifeng Zhu, Tao Meng, Kang Li, Ning Huang, Shaoting Zhang:
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images. IEEE Trans. Medical Imaging 39(8): 2653-2663 (2020) - 2019
- [j8]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation. Frontiers Comput. Neurosci. 13: 56 (2019) - [j7]Guotai Wang, Wenqi Li, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. Neurocomputing 338: 34-45 (2019) - [j6]Guotai Wang, Maria A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1559-1572 (2019) - 2018
- [j5]Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
NiftyNet: a deep-learning platform for medical imaging. Comput. Methods Programs Biomed. 158: 113-122 (2018) - [j4]Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Weakly-supervised convolutional neural networks for multimodal image registration. Medical Image Anal. 49: 1-13 (2018) - [j3]Guotai Wang, Wenqi Li, Maria A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. IEEE Trans. Medical Imaging 37(7): 1562-1573 (2018) - 2016
- [j2]Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Tom Doel, Maria Klusmann, Anna L. David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin:
Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views. Medical Image Anal. 34: 137-147 (2016) - 2015
- [j1]Guotai Wang, Shaoting Zhang, Hongzhi Xie, Dimitris N. Metaxas, Lixu Gu:
A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning. Medical Image Anal. 19(1): 176-186 (2015)
Conference and Workshop Papers
- 2024
- [c52]Xinya Liu, Jianghao Wu, Xiangde Luo, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
RPL-SFDA: Reliable Pseudo Label-Guided Source-Free Cross-Modality Adaptation for NPC GTV Segmentation. ISBI 2024: 1-5 - [c51]Ping Ye, He Li, Shaoting Zhang, Guotai Wang:
Semi-Supervised Medical Image Segmentation via Multi-Group Network with Consistency Among Heterogeneous Loss Supervision. ISBI 2024: 1-5 - [c50]Weiren Zhao, Lanfeng Zhong, Guotai Wang:
SEMI-CONTRANS: Semi-Supervised Medical Image Segmentation via Multi-Scale Feature Fusion and Cross Teaching of CNN and Transformer. ISBI 2024: 1-5 - [c49]Yubo Zhou, Ran Gu, Shaoting Zhang, Guotai Wang:
Self-Supervised Pre-Training Based On Contrastive Complementary Masking for Semi-Supervised Cardiac Image Segmentation. ISBI 2024: 1-5 - [c48]Zihao Luo, Xiangde Luo, Zijun Gao, Guotai Wang:
An Uncertainty-Guided Tiered Self-training Framework for Active Source-Free Domain Adaptation in Prostate Segmentation. MICCAI (9) 2024: 107-117 - [c47]Guoning Zhang, Xiaoran Qi, Bo Yan, Guotai Wang:
IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation. MICCAI (11) 2024: 351-360 - [c46]Xiangde Luo, Zihan Li, Shaoting Zhang, Wenjun Liao, Guotai Wang:
Rethinking Abdominal Organ Segmentation (RAOS) in the Clinical Scenario: A Robustness Evaluation Benchmark with Challenging Cases. MICCAI (9) 2024: 531-541 - 2023
- [c45]Jianghao Wu, Ran Gu, Tao Lu, Shaoting Zhang, Guotai Wang:
UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation. IPMI 2023: 237-249 - [c44]Dejene M. Sime, Guotai Wang, Zhi Zeng, Bei Peng:
Semi-supervised Defect Segmentation with Uncertainty-aware Pseudo-labels from Multi-branch Network. IPMV 2023: 73-78 - [c43]Jie Wei, Guotai Wang:
Fine-Grained Out-of-Distribution Detection of Medical Images using Combination of Feature Uncertainty and Mahalanobis Distance. ISBI 2023: 1-5 - [c42]Baosheng Zou, Zongguang Zhou, Ying Han, Kang Li, Guotai Wang:
Multi-Scale Convolution-Transformer Fusion Network for Endoscopic Image Segmentation. ISBI 2023: 1-5 - [c41]Yijie Qu, Qianfei Zhao, Linda Wei, Tao Lu, Shaoting Zhang, Guotai Wang:
ScribSD: Scribble-Supervised Fetal MRI Segmentation Based on Simultaneous Feature and Prediction Self-distillation. MILLanD@MICCAI 2023: 14-23 - [c40]Meng Han, Xiangde Luo, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Scribble-Based 3D Multiple Abdominal Organ Segmentation via Triple-Branch Multi-Dilated Network with Pixel- and Class-Wise Consistency. MICCAI (7) 2023: 33-42 - [c39]He Li, Meng Han, Guotai Wang:
Abdominal Organs and Pan-Cancer Segmentation Based on Self-supervised Pre-training and Self-training. FLARE@MICCAI 2023: 130-142 - [c38]Jia Fu, Tao Lu, Shaoting Zhang, Guotai Wang:
UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation. MICCAI (7) 2023: 315-324 - [c37]Lanfeng Zhong, Xin Liao, Shaoting Zhang, Guotai Wang:
Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. MICCAI (6) 2023: 570-579 - 2022
- [c36]Jianghao Wu, Ran Gu, Guiming Dong, Guotai Wang, Shaoting Zhang:
FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation. ISBI 2022: 1-5 - [c35]Xiangde Luo, Minhao Hu, Wenjun Liao, Shuwei Zhai, Tao Song, Guotai Wang, Shaoting Zhang:
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision. MICCAI (1) 2022: 528-538 - [c34]Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang:
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer. MIDL 2022: 820-833 - 2021
- [c33]Xiangde Luo, Jieneng Chen, Tao Song, Guotai Wang:
Semi-supervised Medical Image Segmentation through Dual-task Consistency. AAAI 2021: 8801-8809 - [c32]Yibo Gao, Huan Wang, Xinglong Liu, Ning Huang, Guotai Wang, Shaoting Zhang:
A Denoising Self-supervised Approach for COVID-19 Pneumonia Lesion Segmentation with Limited Annotated CT Images. EMBC 2021: 3705-3708 - [c31]Qianfei Zhao, Huan Wang, Guotai Wang:
LCOV-NET: A Lightweight Neural Network For COVID-19 Pneumonia Lesion Segmentation From 3D CT Images. ISBI 2021: 42-45 - [c30]Xu Chen, Xiangde Luo, Guotai Wang, Yalin Zheng:
Deep Elastica For Image Segmentation. ISBI 2021: 706-710 - [c29]Jingyang Zhang, Ran Gu, Guotai Wang, Hongzhi Xie, Lixu Gu:
SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation. ISBI 2021: 1227-1231 - [c28]Haoyang Wu, Huan Wang, Hao He, Zixiao He, Guotai Wang:
A Novel Weakly Supervised Framework Based On Noisy-Label Learning For Medical Image Segmentation. ISBI 2021: 1768-1772 - [c27]Jiangshan Lu, Wenhui Lei, Ran Gu, Guotai Wang:
Priori and Posteriori Attention for Generalizing Head and Neck Tumors Segmentation. HECKTOR@MICCAI 2021: 134-140 - [c26]Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Shichuan Zhang, Guotai Wang:
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images. MICCAI (2) 2021: 155-165 - [c25]Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang, Shaoting Zhang:
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. MICCAI (3) 2021: 241-250 - [c24]Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Nianyong Chen, Guotai Wang, Shaoting Zhang:
Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency. MICCAI (2) 2021: 318-329 - [c23]Jingyang Zhang, Ran Gu, Guotai Wang, Lixu Gu:
Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple Sites. MICCAI (1) 2021: 389-399 - 2020
- [c22]Shuojue Yang, Dong Guo, Lu Wang, Guotai Wang:
Cascaded Coarse-to-Fine Neural Network for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 458-469 - [c21]Zuhao Liu, Huan Wang, Wenhui Lei, Guotai Wang:
CSAF-CNN: Cross-Layer Spatial Attention Map Fusion Network for Organ-at-Risk Segmentation in Head and Neck CT Images. ISBI 2020: 1522-1525 - [c20]Shuwei Zhai, Ran Gu, Wenhui Lei, Guotai Wang:
Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble. MyoPS@MICCAI 2020: 49-59 - [c19]Zuhao Liu, Huan Wang, Shaoting Zhang, Guotai Wang, Jin Qi:
NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification. MICCAI (1) 2020: 263-272 - [c18]Guotai Wang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. MICCAI (4) 2020: 279-288 - [c17]Tao Song, Jieneng Chen, Xiangde Luo, Yechong Huang, Xinglong Liu, Ning Huang, Yinan Chen, Zhaoxiang Ye, Huaqiang Sheng, Shaoting Zhang, Guotai Wang:
CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans. MICCAI (6) 2020: 550-559 - 2019
- [c16]Huan Wang, Guotai Wang, Zijian Liu, Shaoting Zhang:
Global and Local Multi-scale Feature Fusion Enhancement for Brain Tumor Segmentation and Pancreas Segmentation. BrainLes@MICCAI (1) 2019: 80-88 - [c15]Dong Guo, Lu Wang, Tao Song, Guotai Wang:
Cascaded Global Context Convolutional Neural Network for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2019: 315-326 - [c14]Wenhui Lei, Huan Wang, Ran Gu, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 61-69 - [c13]Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Shaoting Zhang, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. MICCAI (2) 2019: 264-272 - [c12]Huan Wang, Guotai Wang, Ze Sheng, Shaoting Zhang:
Automated Segmentation of Skin Lesion Based on Pyramid Attention Network. MLMI@MICCAI 2019: 435-443 - [c11]Huan Wang, Guotai Wang, Zhihan Xu, Wenhui Lei, Shaoting Zhang:
High- and Low-Level Feature Enhancement for Medical Image Segmentation. MLMI@MICCAI 2019: 611-619 - 2018
- [c10]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation. BrainLes@MICCAI (2) 2018: 61-72 - [c9]Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI. MICCAI (1) 2018: 313-320 - 2017
- [c8]Wenqi Li, Guotai Wang, Lucas Fidon, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task. IPMI 2017: 348-360 - [c7]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks. BrainLes@MICCAI 2017: 178-190 - 2016
- [c6]Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Tom Doel, Maria Klusmann, Anna L. David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin:
Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation. MICCAI (2) 2016: 352-360 - 2015
- [c5]Guotai Wang, Maria A. Zuluaga, Rosalind Pratt, Michael Aertsen, Anna L. David, Jan Deprest, Tom Vercauteren, Sébastien Ourselin:
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning. MICCAI (3) 2015: 29-37 - 2014
- [c4]Guotai Wang, Shaoting Zhang, Lixu Gu:
Scalable sparse shape composition and its application to liver surgical planning. ISBI 2014: 377-380 - [c3]Jie Liu, Xiahai Zhuang, Jing Liu, Shaoting Zhang, Guotai Wang, Lianming Wu, Jianrong Xu, Lixu Gu:
Myocardium segmentation combining T2 and DE MRI using Multi-Component Bivariate Gaussian mixture model. ISBI 2014: 886-889 - 2013
- [c2]Zhe Luo, Junfeng Cai, Yuanyuan Nie, Guotai Wang, Lixu Gu:
An augmented magnetic navigation system for Transcatheter Aortic Valve Implantation. EMBC 2013: 5319-5322 - [c1]Guotai Wang, Shaoting Zhang, Feng Li, Lixu Gu:
Segmentation using Sparse Shape Composition and minimally supervised method in liver surgery planning system. EMBC 2013: 6075-6078
Informal and Other Publications
- 2024
- [i56]Dimitrios Psychogyios, Emanuele Colleoni, Beatrice van Amsterdam, Chih-Yang Li, Shu-Yu Huang, Yuchong Li, Fucang Jia, Baosheng Zou, Guotai Wang, Yang Liu, Maxence Boels, Jiayu Huo, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin, Mengya Xu, An Wang, Yanan Wu, Long Bai, Hongliang Ren, Atsushi Yamada, Yuriko Harai, Yuto Ishikawa, Kazuyuki Hayashi, Jente Simoens, Pieter DeBacker, Francesco Cisternino, Gabriele Furnari, Alex Mottrie, Federica Ferraguti, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Soohee Kim, Seung Hyun Lee, Kyu Eun Lee, Hyoun-Joong Kong, Kui Fu, Chao Li, Shan An, Stefanie Krell, Sebastian Bodenstedt, Nicolás Ayobi, Alejandra Pérez, Santiago Rodríguez, Juanita Puentes, Pablo Arbeláez, Omid Mohareri, Danail Stoyanov:
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge. CoRR abs/2401.00496 (2024) - [i55]Xiaosong Wang, Xiaofan Zhang, Guotai Wang, Junjun He, Zhongyu Li, Wentao Zhu, Yi Guo, Qi Dou, Xiaoxiao Li, Dequan Wang, Liang Hong, Qicheng Lao, Tong Ruan, Yukun Zhou, Yixue Li, Jie Zhao, Kang Li, Xin Sun, Lifeng Zhu, Shaoting Zhang:
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR abs/2402.18028 (2024) - [i54]Lanfeng Zhong, Xin Liao, Shaoting Zhang, Xiaofan Zhang, Guotai Wang:
VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Human Annotation-Free Pathological Image Classification. CoRR abs/2403.15836 (2024) - [i53]Jianghao Wu, Dong Guo, Guotai Wang, Qiang Yue, Huijun Yu, Kang Li, Shaoting Zhang:
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation. CoRR abs/2404.04971 (2024) - [i52]Xiangde Luo, Zihan Li, Shaoting Zhang, Wenjun Liao, Guotai Wang:
Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases. CoRR abs/2406.13674 (2024) - [i51]Zihao Luo, Xiangde Luo, Zijun Gao, Guotai Wang:
An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation. CoRR abs/2407.02893 (2024) - [i50]Litingyu Wang, Yijie Qu, Xiangde Luo, Wenjun Liao, Shichuan Zhang, Guotai Wang:
Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning. CoRR abs/2408.09411 (2024) - [i49]Reuben Dorent, Roya Khajavi, Tagwa Idris, Erik Ziegler, Bhanusupriya Somarouthu, Heather Jacene, Ann S. LaCasce, Jonathan Deissler, Jan Ehrhardt, Sofija Engelson, Stefan M. Fischer, Yun Gu, Heinz Handels, Satoshi Kasai, Satoshi Kondo, Klaus H. Maier-Hein, Julia A. Schnabel, Guotai Wang, Litingyu Wang, Tassilo Wald, Guang-Zhong Yang, Hanxiao Zhang, Minghui Zhang, Steven D. Pieper, Gordon J. Harris, Ron Kikinis, Tina Kapur:
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification. CoRR abs/2408.10069 (2024) - 2023
- [i48]Lanfeng Zhong, Xin Liao, Shaoting Zhang, Guotai Wang:
Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. CoRR abs/2305.18830 (2023) - [i47]Jia Fu, Tao Lu, Shaoting Zhang, Guotai Wang:
UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation. CoRR abs/2306.11490 (2023) - [i46]Guotai Wang, Jianghao Wu, Xiangde Luo, Xinglong Liu, Kang Li, Shaoting Zhang:
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset. CoRR abs/2306.16925 (2023) - [i45]Meng Han, Xiangde Luo, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Scribble-based 3D Multiple Abdominal Organ Segmentation via Triple-branch Multi-dilated Network with Pixel- and Class-wise Consistency. CoRR abs/2309.09730 (2023) - [i44]Jianghao Wu, Guotai Wang, Ran Gu, Tao Lu, Yinan Chen, Wentao Zhu, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang:
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. CoRR abs/2309.10244 (2023) - [i43]Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang:
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. CoRR abs/2312.09576 (2023) - 2022
- [i42]Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren:
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR abs/2201.02831 (2022) - [i41]Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang:
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR abs/2201.03186 (2022) - [i40]Xiangde Luo, Minhao Hu, Wenjun Liao, Shuwei Zhai, Tao Song, Guotai Wang, Shaoting Zhang:
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision. CoRR abs/2203.02106 (2022) - [i39]Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab:
Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR abs/2204.09573 (2022) - [i38]Ran Gu, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Xiaofan Zhang, Guotai Wang, Shaoting Zhang:
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation. CoRR abs/2205.06551 (2022) - [i37]Hao Fu, Guotai Wang, Wenhui Lei, Wei Xu, Qianfei Zhao, Shichuan Zhang, Kang Li, Shaoting Zhang:
HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy. CoRR abs/2206.02959 (2022) - [i36]Shuwei Zhai, Guotai Wang, Xiangde Luo, Qiang Yue, Kang Li, Shaoting Zhang:
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation. CoRR abs/2208.05669 (2022) - [i35]Ran Gu, Jingyang Zhang, Guotai Wang, Wenhui Lei, Tao Song, Xiaofan Zhang, Kang Li, Shaoting Zhang:
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures. CoRR abs/2208.08605 (2022) - [i34]Guotai Wang, Xiangde Luo, Ran Gu, Shuojue Yang, Yijie Qu, Shuwei Zhai, Qianfei Zhao, Kang Li, Shaoting Zhang:
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation. CoRR abs/2208.09350 (2022) - [i33]M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - [i32]Ran Gu, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation. CoRR abs/2211.12081 (2022) - 2021
- [i31]Haochen Mei, Wenhui Lei, Ran Gu, Shan Ye, Zhengwentai Sun, Shichuan Zhang, Guotai Wang:
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention. CoRR abs/2101.11254 (2021) - [i30]Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss. CoRR abs/2102.01897 (2021) - [i29]Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching. CoRR abs/2104.05215 (2021) - [i28]Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning. CoRR abs/2104.12166 (2021) - [i27]Jingyang Zhang, Ran Gu, Guotai Wang, Hongzhi Xie, Lixu Gu:
SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation. CoRR abs/2105.02674 (2021) - [i26]Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang, Shaoting Zhang:
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. CoRR abs/2109.08852 (2021) - [i25]Guotai Wang, Shuwei Zhai, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou, Shaoting Zhang:
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention. CoRR abs/2109.14172 (2021) - [i24]Imanol Luengo, Maria Grammatikopoulou, Rahim Mohammadi, Chris Walsh, Chinedu Innocent Nwoye, Deepak Alapatt, Nicolas Padoy, Zhen-Liang Ni, Chen-Chen Fan, Gui-Bin Bian, Zeng-Guang Hou, Heonjin Ha, Jiacheng Wang, Haojie Wang, Dong Guo, Lu Wang, Guotai Wang, Mobarakol Islam, Bharat Giddwani, Hongliang Ren, Theodoros Pissas, Claudio S. Ravasio, Martin Huber, Jeremy Birch, Joan M. Nunez Do Rio, Lyndon Da Cruz, Christos Bergeles, Hongyu Chen, Fucang Jia, Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Sophia Bano, Uddhav Vaghela, Jianyuan Hong, Haili Ye, Feihong Huang, Da-Han Wang, Danail Stoyanov:
2020 CATARACTS Semantic Segmentation Challenge. CoRR abs/2110.10965 (2021) - [i23]Xiangde Luo, Wenjun Liao, Jianghong Xiao, Tao Song, Xiaofan Zhang, Kang Li, Guotai Wang, Shaoting Zhang:
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region. CoRR abs/2111.02403 (2021) - [i22]Wenhui Lei, Qi Su, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang:
One-shot Weakly-Supervised Segmentation in Medical Images. CoRR abs/2111.10773 (2021) - [i21]Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang:
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer. CoRR abs/2112.04894 (2021) - 2020
- [i20]Tobias Roß, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtaç, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Guotai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat Peter Müller-Stich, Lena Maier-Hein:
Robust Medical Instrument Segmentation Challenge 2019. CoRR abs/2003.10299 (2020) - [i19]Qi Duan, Guotai Wang, Rui Wang, Chao Fu, Xinjun Li, Maoliang Gong, Xinglong Liu, Qing Xia, Xiaodi Huang, Zhiqiang Hu, Ning Huang, Shaoting Zhang:
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization. CoRR abs/2004.07031 (2020) - [i18]Jingyang Zhang, Guotai Wang, Hongzhi Xie, Shuyang Zhang, Ning Huang, Shaoting Zhang, Lixu Gu:
Weakly Supervised Vessel Segmentation in X-ray Angiograms by Self-Paced Learning from Noisy Labels with Suggestive Annotation. CoRR abs/2005.13366 (2020) - [i17]Guotai Wang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. CoRR abs/2007.00833 (2020) - [i16]Guotai Wang, Tao Song, Qiang Dong, Mei Cui, Ning Huang, Shaoting Zhang:
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks. CoRR abs/2007.03294 (2020) - [i15]Xiangde Luo, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang:
Semi-supervised Medical Image Segmentation through Dual-task Consistency. CoRR abs/2009.04448 (2020) - [i14]Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang:
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. CoRR abs/2009.10549 (2020) - [i13]Xu Chen, Xiangde Luo, Yitian Zhao, Shaoting Zhang, Guotai Wang, Yalin Zheng:
Learning Euler's Elastica Model for Medical Image Segmentation. CoRR abs/2011.00526 (2020) - [i12]Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang:
Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma. CoRR abs/2012.07042 (2020) - [i11]Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Guotai Wang:
One-Shot Object Localization in Medical Images based on Relative Position Regression. CoRR abs/2012.07043 (2020) - [i10]Lu Wang, Dong Guo, Guotai Wang, Shaoting Zhang:
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning. CoRR abs/2012.14584 (2020) - 2019
- [i9]Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. CoRR abs/1906.03906 (2019) - 2018
- [i8]Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren:
Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration. CoRR abs/1807.03361 (2018) - [i7]Guotai Wang, Wenqi Li, Michael Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. CoRR abs/1807.07356 (2018) - [i6]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation. CoRR abs/1810.07884 (2018) - 2017
- [i5]Guotai Wang, Maria A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. CoRR abs/1707.00652 (2017) - [i4]Wenqi Li, Guotai Wang, Lucas Fidon, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task. CoRR abs/1707.01992 (2017) - [i3]Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks. CoRR abs/1709.00382 (2017) - [i2]Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren:
NiftyNet: a deep-learning platform for medical imaging. CoRR abs/1709.03485 (2017) - [i1]Guotai Wang, Wenqi Li, Maria A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren:
Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning. CoRR abs/1710.04043 (2017)
Coauthor Index
[j51] [j50] [j49] [j47] [j46] [j45] [j43] [j42] [j38] [j35] [j34] [j31] [j30] [j29] [j27] [j26] [j25] [j24] [j23] [j21] [j20] [j19] [j17] [j15] [j14] [j13] [j12] [j11] [j9] [j1] [c52] [c51] [c49] [c46] [c45] [c41] [c40] [c38] [c37] [c36] [c35] [c34] [c32] [c26] [c25] [c24] [c19] [c18] [c17] [c16] [c14] [c13] [c12] [c11] [c4] [c3] [c1] [i55] [i54] [i53] [i52] [i48] [i47] [i46] [i45] [i44] [i43] [i40] [i38] [i37] [i36] [i35] [i34] [i32] [i30] [i29] [i28] [i26] [i25] [i23] [i22] [i21] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10]
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last updated on 2024-10-11 18:18 CEST by the dblp team
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