An augmented magnetic navigation system for Transcatheter Aortic Valve Implantation. - Zhe Luo; Junfeng Cai; Yuanyuan Nie; Guotai Wang; Lixu Gu (EMBC, 2013)

Segmentation using Sparse Shape Composition and minimally supervised method in liver surgery planning system. - Guotai Wang; Shaoting Zhang 001; Feng Li; Lixu Gu (EMBC, 2013)

Myocardium segmentation combining T2 and DE MRI using Multi-Component Bivariate Gaussian mixture model. - Jie Liu; Xiahai Zhuang; Jing Liu; Shaoting Zhang 001; Guotai Wang; Lianming Wu; Jianrong Xu; Lixu Gu (ISBI, 2014)

Scalable sparse shape composition and its application to liver surgical planning. - Guotai Wang; Shaoting Zhang 001; Lixu Gu (ISBI, 2014)

Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning. - Guotai Wang; Maria A. Zuluaga; Rosalind Pratt; Michael Aertsen; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (MICCAI (3), 2015)

A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning. - Guotai Wang; Shaoting Zhang 001; Hongzhi Xie; Dimitris N. Metaxas; Lixu Gu (Medical Image Anal., 2015)

Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation. - Guotai Wang; Maria A. Zuluaga; Rosalind Pratt; Michael Aertsen; Tom Doel; Maria Klusmann; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (MICCAI (2), 2016)

Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views. - Guotai Wang; Maria A. Zuluaga; Rosalind Pratt; Michael Aertsen; Tom Doel; Maria Klusmann; Anna L. David; Jan Deprest; Tom Vercauteren; Sébastien Ourselin (Medical Image Anal., 2016)

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task. - Wenqi Li 001; Guotai Wang; Lucas Fidon; Sébastien Ourselin; M. Jorge Cardoso; Tom Vercauteren (IPMI, 2017)

Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks. - Guotai Wang; Wenqi Li 001; Sébastien Ourselin; Tom Vercauteren (BrainLes@MICCAI, 2017)

NiftyNet: a deep-learning platform for medical imaging. - Eli Gibson; Wenqi Li 001; Carole H. Sudre; Lucas Fidon; Dzhoshkun I. Shakir; Guotai Wang; Zach Eaton-Rosen; Robert J. Gray; Tom Doel; Yipeng Hu; Tom Whyntie; Parashkev Nachev; et al. (CoRR, 2017)

An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI. - Michael Ebner; Guotai Wang; Wenqi Li 001; Michael Aertsen; Premal A. Patel; Rosalind Aughwane; Andrew Melbourne; Tom Doel; Anna L. David; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (MICCAI (1), 2018)

Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation. - Guotai Wang; Wenqi Li 001; Sébastien Ourselin; Tom Vercauteren (BrainLes@MICCAI (2), 2018)

NiftyNet: a deep-learning platform for medical imaging. - Eli Gibson; Wenqi Li 001; Carole H. Sudre; Lucas Fidon; Dzhoshkun I. Shakir; Guotai Wang; Zach Eaton-Rosen; Robert J. Gray; Tom Doel; Yipeng Hu; Tom Whyntie; Parashkev Nachev; et al. (Comput. Methods Programs Biomed., 2018)

Weakly-supervised convolutional neural networks for multimodal image registration. - Yipeng Hu; Marc Modat; Eli Gibson; Wenqi Li 001; Nooshin Ghavami; Ester Bonmati; Guotai Wang; Steven Bandula; Caroline M. Moore; Mark Emberton; Sébastien Ourselin; J. Alison Noble; et al. (Medical Image Anal., 2018)

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning. - Guotai Wang; Wenqi Li 001; Maria A. Zuluaga; Rosalind Pratt; Premal A. Patel; Michael Aertsen; Tom Doel; Anna L. David; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (IEEE Trans. Medical Imaging, 2018)

Cascaded Global Context Convolutional Neural Network for Brain Tumor Segmentation. - Dong Guo; Lu Wang; Tao Song 002; Guotai Wang (BrainLes@MICCAI (1), 2019)

Global and Local Multi-scale Feature Fusion Enhancement for Brain Tumor Segmentation and Pancreas Segmentation. - Huan Wang 015; Guotai Wang; Zijian Liu; Shaoting Zhang 001 (BrainLes@MICCAI (1), 2019)

DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs. - Wenhui Lei; Huan Wang 015; Ran Gu; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. - Guotai Wang; Jonathan Shapey; Wenqi Li 001; Reuben Dorent; Alex Demitriadis; Sotirios Bisdas; Ian Paddick; Robert Bradford; Shaoting Zhang 001; Sébastien Ourselin; Tom Vercauteren (MICCAI (2), 2019)

Automated Segmentation of Skin Lesion Based on Pyramid Attention Network. - Huan Wang 015; Guotai Wang; Ze Sheng; Shaoting Zhang 001 (MLMI@MICCAI, 2019)

High- and Low-Level Feature Enhancement for Medical Image Segmentation. - Huan Wang 015; Guotai Wang; Zhihan Xu; Wenhui Lei; Shaoting Zhang 001 (MLMI@MICCAI, 2019)

Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. - Guotai Wang; Jonathan Shapey; Wenqi Li 001; Reuben Dorent; Alex Demitriadis; Sotirios Bisdas; Ian Paddick; Robert Bradford; Sébastien Ourselin; Tom Vercauteren (CoRR, 2019)

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation. - Guotai Wang; Wenqi Li 001; Sébastien Ourselin; Tom Vercauteren (Frontiers Comput. Neurosci., 2019)

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. - Guotai Wang; Wenqi Li 001; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (Neurocomputing, 2019)

DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. - Guotai Wang; Maria A. Zuluaga; Wenqi Li 001; Rosalind Pratt; Premal A. Patel; Michael Aertsen; Tom Doel; Anna L. David; Jan Deprest; Sébastien Ourselin; Tom Vercauteren (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Cascaded Coarse-to-Fine Neural Network for Brain Tumor Segmentation. - Shuojue Yang; Dong Guo; Lu Wang; Guotai Wang (BrainLes@MICCAI (1), 2020)

CSAF-CNN: Cross-Layer Spatial Attention Map Fusion Network for Organ-at-Risk Segmentation in Head and Neck CT Images. - Zuhao Liu 002; Huan Wang 015; Wenhui Lei; Guotai Wang (ISBI, 2020)

NAS-SCAM: Neural Architecture Search-Based Spatial and Channel Joint Attention Module for Nuclei Semantic Segmentation and Classification. - Zuhao Liu 002; Huan Wang 015; Shaoting Zhang 001; Guotai Wang; Jin Qi (MICCAI (1), 2020)

CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans. - Tao Song 002; Jieneng Chen; Xiangde Luo; Yechong Huang; Xinglong Liu; Ning Huang; Yinan Chen; Zhaoxiang Ye; Huaqiang Sheng; Shaoting Zhang 001; Guotai Wang (MICCAI (6), 2020)

Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices. - Guotai Wang; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren; Shaoting Zhang 001 (MICCAI (4), 2020)

Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble. - Shuwei Zhai; Ran Gu; Wenhui Lei; Guotai Wang (MyoPS@MICCAI, 2020)

Robust Medical Instrument Segmentation Challenge 2019. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (CoRR, 2020)

SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization. - Qi Duan; Guotai Wang; Rui Wang; Chao Fu; Xinjun Li; Maoliang Gong; Xinglong Liu; Qing Xia 002; Xiaodi Huang; Zhiqiang Hu; Ning Huang; Shaoting Zhang 001 (CoRR, 2020)

Semi-supervised Medical Image Segmentation through Dual-task Consistency. - Xiangde Luo; Jieneng Chen; Tao Song 002; Yinan Chen; Guotai Wang; Shaoting Zhang 001 (CoRR, 2020)

Learning Euler's Elastica Model for Medical Image Segmentation. - Xu Chen 030; Xiangde Luo; Yitian Zhao; Shaoting Zhang 001; Guotai Wang; Yalin Zheng (CoRR, 2020)

Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma. - Xiangde Luo; Wenjun Liao; Jieneng Chen; Tao Song 002; Yinan Chen; Guotai Wang; Shaoting Zhang 001 (CoRR, 2020)

One-Shot Object Localization in Medical Images based on Relative Position Regression. - Wenhui Lei; Wei Xu 046; Ran Gu; Hao Fu; Shaoting Zhang 001; Guotai Wang (CoRR, 2020)

Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation. - Jingyang Zhang; Guotai Wang; Hongzhi Xie; Shuyang Zhang; Ning Huang; Shaoting Zhang 001; Lixu Gu (Neurocomputing, 2020)

Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks. - Guotai Wang; Tao Song 002; Qiang Dong; Mei Cui; Ning Huang; Shaoting Zhang 001 (Medical Image Anal., 2020)

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. - Michael Ebner; Guotai Wang; Wenqi Li 001; Michael Aertsen; Premal A. Patel; Rosalind Aughwane; Andrew Melbourne; Tom Doel; Steven Dymarkowski; Paolo De Coppi; Anna L. David; Jan Deprest; et al. (NeuroImage, 2020)

A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images. - Guotai Wang; Xinglong Liu; Chaoping Li; Zhiyong Xu; Jiugen Ruan; Haifeng Zhu; Tao Meng; Kang Li 004; Ning Huang; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2020)

Semi-supervised Medical Image Segmentation through Dual-task Consistency. - Xiangde Luo; Jieneng Chen; Tao Song 002; Guotai Wang (AAAI, 2021)

A Denoising Self-supervised Approach for COVID-19 Pneumonia Lesion Segmentation with Limited Annotated CT Images. - Yibo Gao; Huan Wang 015; Xinglong Liu; Ning Huang; Guotai Wang; Shaoting Zhang 001 (EMBC, 2021)

Deep Elastica For Image Segmentation. - Xu Chen 030; Xiangde Luo; Guotai Wang; Yalin Zheng (ISBI, 2021)

A Novel Weakly Supervised Framework Based On Noisy-Label Learning For Medical Image Segmentation. - Haoyang Wu; Huan Wang 015; Hao He; Zixiao He; Guotai Wang (ISBI, 2021)

SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation. - Jingyang Zhang; Ran Gu; Guotai Wang; Hongzhi Xie; Lixu Gu (ISBI, 2021)

LCOV-NET: A Lightweight Neural Network For COVID-19 Pneumonia Lesion Segmentation From 3D CT Images. - Qianfei Zhao; Huan Wang 015; Guotai Wang (ISBI, 2021)

Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. - Ran Gu; Jingyang Zhang; Rui Huang 001; Wenhui Lei; Guotai Wang; Shaoting Zhang 001 (MICCAI (3), 2021)

Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images. - Wenhui Lei; Wei Xu 046; Ran Gu; Hao Fu; Shaoting Zhang 001; Shichuan Zhang; Guotai Wang (MICCAI (2), 2021)

Priori and Posteriori Attention for Generalizing Head and Neck Tumors Segmentation. - Jiangshan Lu; Wenhui Lei; Ran Gu; Guotai Wang (HECKTOR@MICCAI, 2021)

Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency. - Xiangde Luo; Wenjun Liao; Jieneng Chen; Tao Song 002; Yinan Chen; Shichuan Zhang; Nianyong Chen; Guotai Wang; Shaoting Zhang 001 (MICCAI (2), 2021)

Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple Sites. - Jingyang Zhang; Ran Gu; Guotai Wang; Lixu Gu (MICCAI (1), 2021)

2020 CATARACTS Semantic Segmentation Challenge. - 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; et al. (CoRR, 2021)

WORD: Revisiting Organs Segmentation in the Whole Abdominal Region. - Xiangde Luo; Wenjun Liao; Jianghong Xiao; Tao Song 002; Xiaofan Zhang 002; Kang Li 004; Guotai Wang; Shaoting Zhang 001 (CoRR, 2021)

One-shot Weakly-Supervised Segmentation in Medical Images. - Wenhui Lei; Qi Su; Ran Gu; Na Wang; Xinglong Liu; Guotai Wang; Xiaofan Zhang 002; Shaoting Zhang 001 (CoRR, 2021)

Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss. - Wenhui Lei; Haochen Mei; Zhengwentai Sun; Shan Ye; Ran Gu; Huan Wang 015; Rui Huang 001; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (Neurocomputing, 2021)

Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention. - Haochen Mei; Wenhui Lei; Ran Gu; Shan Ye; Zhengwentai Sun; Shichuan Zhang; Guotai Wang (Neurocomputing, 2021)

MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning. - Xiangde Luo; Guotai Wang; Tao Song 002; Jingyang Zhang; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren; Shaoting Zhang 001 (Medical Image Anal., 2021)

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge. - Tobias Roß; Annika Reinke; Peter M. Full; Martin Wagner 001; Hannes Kenngott; Martin Apitz; Hellena Hempe; Diana Mîndroc-Filimon; Patrick Scholz 001; Thuy Nuong Tran; Pierangela Bruno; Pablo Arbeláez; et al. (Medical Image Anal., 2021)

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. - Ran Gu; Guotai Wang; Tao Song 002; Rui Huang 001; Michael Aertsen; Jan Deprest; Sébastien Ourselin; Tom Vercauteren; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2021)

Annotation-Efficient Learning for Medical Image Segmentation Based on Noisy Pseudo Labels and Adversarial Learning. - Lu Wang; Dong Guo; Guotai Wang; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2021)

FPL-UDA: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for Vestibular Schwannoma Segmentation. - Jianghao Wu 001; Ran Gu; Guiming Dong; Guotai Wang; Shaoting Zhang 001 (ISBI, 2022)

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision. - Xiangde Luo; Minhao Hu; Wenjun Liao; Shuwei Zhai; Tao Song 002; Guotai Wang; Shaoting Zhang 001 (MICCAI (1), 2022)

Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer. - Xiangde Luo; Minhao Hu; Tao Song 002; Guotai Wang; Shaoting Zhang 001 (MIDL, 2022)

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; Jorge Cardoso 002; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (CoRR, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation. - Ran Gu; Jiangshan Lu; Jingyang Zhang; Wenhui Lei; Xiaofan Zhang 002; Guotai Wang; Shaoting Zhang 001 (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. - Xiangde Luo; Wenjun Liao; Jianghong Xiao; Jieneng Chen; Tao Song 002; Xiaofan Zhang 002; Kang Li 004; Dimitris N. Metaxas; Guotai Wang; Shaoting Zhang 001 (Medical Image Anal., 2022)

SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching. - Xiangde Luo; Tao Song 002; Guotai Wang; Jieneng Chen; Yinan Chen; Kang Li 004; Dimitris N. Metaxas; Shaoting Zhang 001 (Medical Image Anal., 2022)

Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency. - Xiangde Luo; Guotai Wang; Wenjun Liao; Jieneng Chen; Tao Song 002; Yinan Chen; Shichuan Zhang; Dimitris N. Metaxas; Shaoting Zhang 001 (Medical Image Anal., 2022)

Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN). - Wei Xu 046; Donghai Xiang; Guotai Wang; Ruisong Liao; Ming Shao; Kang Li 004 (IEEE Trans. Hum. Mach. Syst., 2022)

HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy. - Hao Fu; Guotai Wang; Wenhui Lei; Wei Xu 046; Qianfei Zhao; Shichuan Zhang; Kang Li 004; Shaoting Zhang 001 (IEEE J. Biomed. Health Informatics, 2022)

Learning COVID-19 Pneumonia Lesion Segmentation From Imperfect Annotations via Divergence-Aware Selective Training. - Shuojue Yang; Guotai Wang; Hui Sun; Xiangde Luo; Peng Sun; Kang Li 004; Qijun Wang; Shaoting Zhang 001 (IEEE J. Biomed. Health Informatics, 2022)

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention. - Guotai Wang; Shuwei Zhai; Giovanni Lasio; Baoshe Zhang; Byong Yi; Shifeng Chen; Thomas J. Macvittie; Dimitris N. Metaxas; Jinghao Zhou; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2022)

UPL-TTA: Uncertainty-Aware Pseudo Label Guided Fully Test Time Adaptation for Fetal Brain Segmentation. - Jianghao Wu 001; Ran Gu; Tao Lu; Shaoting Zhang 001; Guotai Wang (IPMI, 2023)

Semi-supervised Defect Segmentation with Uncertainty-aware Pseudo-labels from Multi-branch Network. - Dejene M. Sime; Guotai Wang; Zhi Zeng; Bei Peng 002 (IPMV, 2023)

Fine-Grained Out-of-Distribution Detection of Medical Images using Combination of Feature Uncertainty and Mahalanobis Distance. - Jie Wei; Guotai Wang (ISBI, 2023)

Multi-Scale Convolution-Transformer Fusion Network for Endoscopic Image Segmentation. - Baosheng Zou; Zongguang Zhou; Ying Han; Kang Li 004; Guotai Wang (ISBI, 2023)

UM-CAM: Uncertainty-weighted Multi-resolution Class Activation Maps for Weakly-supervised Fetal Brain Segmentation. - Jia Fu; Tao Lu; Shaoting Zhang 001; Guotai Wang (MICCAI (7), 2023)

Scribble-Based 3D Multiple Abdominal Organ Segmentation via Triple-Branch Multi-Dilated Network with Pixel- and Class-Wise Consistency. - Meng Han; Xiangde Luo; Wenjun Liao; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (MICCAI (7), 2023)

Abdominal Organs and Pan-Cancer Segmentation Based on Self-supervised Pre-training and Self-training. - He Li; Meng Han; Guotai Wang (FLARE@MICCAI, 2023)

ScribSD: Scribble-Supervised Fetal MRI Segmentation Based on Simultaneous Feature and Prediction Self-distillation. - Yijie Qu; Qianfei Zhao; Linda Wei; Tao Lu; Shaoting Zhang 001; Guotai Wang (MILLanD@MICCAI, 2023)

Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. - Lanfeng Zhong; Xin Liao; Shaoting Zhang 001; Guotai Wang (MICCAI (6), 2023)

Brain Tumor Segmentation Based on Self-supervised Pre-training and Adaptive Region-Specific Loss. - Yubo Zhou; Lanfeng Zhong; Guotai Wang (BraTS/CrossMoDA@MICCAI, 2023)

MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset. - Guotai Wang; Jianghao Wu 001; Xiangde Luo; Xinglong Liu; Kang Li 004; Shaoting Zhang 001 (CoRR, 2023)

UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. - Jianghao Wu 001; Guotai Wang; Ran Gu; Tao Lu; Yinan Chen; Wentao Zhu 001; Tom Vercauteren; Sébastien Ourselin; Shaoting Zhang 001 (CoRR, 2023)

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. - Lei Li 020; Fuping Wu; Sihan Wang; Xinzhe Luo; Carlos Martín-Isla; Shuwei Zhai; Jianpeng Zhang; Yanfei Liu; Zhen Zhang 057; Markus J. Ankenbrand; Haochuan Jiang; Xiaoran Zhang; et al. (Medical Image Anal., 2023)

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. - 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; et al. (Medical Image Anal., 2023)

Editorial for special issue on explainable and generalizable deep learning methods for medical image computing. - Guotai Wang; Shaoting Zhang 001; Sharon X. Huang; Tom Vercauteren; Dimitris N. Metaxas (Medical Image Anal., 2023)

Generalized minimum error entropy for robust learning. - Jiacheng He; Gang Wang 020; Kui Cao; He Diao; Guotai Wang; Bei Peng 002 (Pattern Recognit., 2023)

Semisupervised Defect Segmentation With Pairwise Similarity Map Consistency and Ensemble-Based Cross Pseudolabels. - Dejene M. Sime; Guotai Wang; Zhi Zeng; Wei Wang 204; Bei Peng 002 (IEEE Trans. Ind. Informatics, 2023)

Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures. - Ran Gu; Jingyang Zhang; Guotai Wang; Wenhui Lei; Tao Song 002; Xiaofan Zhang 002; Kang Li 004; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2023)

PA-Seg: Learning From Point Annotations for 3D Medical Image Segmentation Using Contextual Regularization and Cross Knowledge Distillation. - Shuwei Zhai; Guotai Wang; Xiangde Luo; Qiang Yue; Kang Li 004; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2023)

Multi-Morphological Pulse Signal Feature Point Recognition Based on One-Dimensional Deep Convolutional Neural Network. - Guotai Wang; Xingguang Geng; Lin Huang; Xiaoxiao Kang; Jun Zhang; Yitao Zhang; Haiying Zhang (Inf., 2023)

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation. - Guotai Wang; Xiangde Luo; Ran Gu; Shuojue Yang; Yijie Qu; Shuwei Zhai; Qianfei Zhao; Kang Li 004; Shaoting Zhang 001 (Comput. Methods Programs Biomed., 2023)

TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency. - Jianghao Wu 001; Dong Guo; Lu Wang; Shuojue Yang; Yuanjie Zheng; Jonathan Shapey; Tom Vercauteren; Sotirios Bisdas; Robert Bradford; Shakeel R. Saeed; Neil Kitchen; Sébastien Ourselin; et al. (Neurocomputing, 2023)

Fetal brain tissue annotation and segmentation challenge results. - 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; et al. (Medical Image Anal., 2023)

A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation. - Xiaowei Xu; Yinan Chen; Jianghao Wu 001; Jiangshan Lu; Yuxiang Ye; Yechong Huang; Xin Dou; Kang Li 004; Guotai Wang; Shaoting Zhang 001; Wei Gong (Medical Image Anal., 2023)

MTMVC: Semi-supervised 3D hand pose estimation using multi-task and multi-view consistency. - Donghai Xiang; Wei Xu 046; Yuting Zhang; Bei Peng 002; Guotai Wang; Kang Li 004 (J. Vis. Commun. Image Represent., 2023)

S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites. - Jingyang Zhang; Ran Gu; Peng Xue; Mianxin Liu; Hao Zheng 008; Yefeng Zheng 001; Lei Ma 006; Guotai Wang; Lixu Gu (IEEE Trans. Medical Imaging, 2023)

Efficient Multi-Organ Segmentation From 3D Abdominal CT Images With Lightweight Network and Knowledge Distillation. - Qianfei Zhao; Lanfeng Zhong; Jianghong Xiao; Jingbo Zhang; Yinan Chen; Wenjun Liao; Shaoting Zhang 001; Guotai Wang (IEEE Trans. Medical Imaging, 2023)

CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. - Ran Gu; Guotai Wang; Jiangshan Lu; Jingyang Zhang; Wenhui Lei; Yinan Chen; Wenjun Liao; Shichuan Zhang; Kang Li 004; Dimitris N. Metaxas; Shaoting Zhang 001 (Medical Image Anal., 2023)

HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images. - Lanfeng Zhong; Guotai Wang; Xin Liao; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2023)

Uncertainty-aware and dynamically-mixed pseudo-labels for semi-supervised defect segmentation. - Dejene M. Sime; Guotai Wang; Zhi Zeng; Bei Peng 002 (Comput. Ind., 2023)

UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. - Jianghao Wu 001; Guotai Wang; Ran Gu; Tao Lu; Yinan Chen; Wentao Zhu 002; Tom Vercauteren; Sébastien Ourselin; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2023)

RPL-SFDA: Reliable Pseudo Label-Guided Source-Free Cross-Modality Adaptation for NPC GTV Segmentation. - Xinya Liu; Jianghao Wu 001; Xiangde Luo; Wenjun Liao; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (ISBI, 2024)

Semi-Supervised Medical Image Segmentation via Multi-Group Network with Consistency Among Heterogeneous Loss Supervision. - Ping Ye; He Li; Shaoting Zhang 001; Guotai Wang (ISBI, 2024)

SEMI-CONTRANS: Semi-Supervised Medical Image Segmentation via Multi-Scale Feature Fusion and Cross Teaching of CNN and Transformer. - Weiren Zhao; Lanfeng Zhong; Guotai Wang (ISBI, 2024)

Self-Supervised Pre-Training Based On Contrastive Complementary Masking for Semi-Supervised Cardiac Image Segmentation. - Yubo Zhou; Ran Gu; Shaoting Zhang 001; Guotai Wang (ISBI, 2024)

An Uncertainty-Guided Tiered Self-training Framework for Active Source-Free Domain Adaptation in Prostate Segmentation. - Zihao Luo; Xiangde Luo; Zijun Gao; Guotai Wang (MICCAI (9), 2024)

Rethinking Abdominal Organ Segmentation (RAOS) in the Clinical Scenario: A Robustness Evaluation Benchmark with Challenging Cases. - Xiangde Luo; Zihan Li; Shaoting Zhang 001; Wenjun Liao; Guotai Wang (MICCAI (9), 2024)

Multi-model Ensemble and Region Specific Normalization for Myocardial Pathology Segmentation with Partial Modalities. - Zihao Luo; Guotai Wang (CARE@MICCAI, 2024)

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-Radiotherapy with Pre-Training, Data Augmentation and Dual Flow UNet. - Litingyu Wang; Wenjun Liao; Shichuan Zhang; Guotai Wang (HNTS-MRG@MICCAI, 2024)

Unsupervised Domain Adaptation for Abdominal Organ Segmentation Using Pseudo Labels and Organ Attention CycleGAN. - Jianghao Wu 001; Guoning Zhang 002; Xiaoran Qi; Huamin Wang; Xinya Liu; Guotai Wang (FLARE@MICCAI, 2024)

IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation. - Guoning Zhang 002; Xiaoran Qi; Bo Yan; Guotai Wang (MICCAI (11), 2024)

ScribSD+: Scribble-supervised medical image segmentation based on simultaneous multi-scale knowledge distillation and class-wise contrastive regularization. - Yijie Qu; Tao Lu; Shaoting Zhang 001; Guotai Wang (Comput. Medical Imaging Graph., 2024)

SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge. - Dimitrios Psychogyios; Emanuele Colleoni; Beatrice van Amsterdam; Chih-Yang Li; Shu-Yu Huang; Yuchong Li; Fucang Jia; Baosheng Zou; Guotai Wang; Yang Liu 271; Maxence Boels; Jiayu Huo; et al. (CoRR, 2024)

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. - Xiaosong Wang 001; Xiaofan Zhang 002; Guotai Wang; Junjun He; Zhongyu Li 002; Wentao Zhu 001; Yi Guo 002; Qi Dou 001; Xiaoxiao Li; Dequan Wang; Liang Hong; Qicheng Lao; et al. (CoRR, 2024)

VLM-CPL: Consensus Pseudo Labels from Vision-Language Models for Human Annotation-Free Pathological Image Classification. - Lanfeng Zhong; Xin Liao; Shaoting Zhang 001; Xiaofan Zhang 002; Guotai Wang (CoRR, 2024)

Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning. - Litingyu Wang; Yijie Qu; Xiangde Luo; Wenjun Liao; Shichuan Zhang; Guotai Wang (CoRR, 2024)

LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification. - 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; et al. (CoRR, 2024)

Cross Group Attention and Group-wise Rolling for Multimodal Medical Image Synthesis. - Tao Song 002; Yicheng Wu 001; Minhao Hu; Xiangde Luo; Linda Wei; Guotai Wang; Yi Guo 002; Feng Xu; Shaoting Zhang 001 (CoRR, 2024)

Cycle-Consistent Bridge Diffusion Model for Accelerated MRI Reconstruction. - Tao Song 002; Yicheng Wu 001; Minhao Hu; Xiangde Luo; Guoting Luo; Guotai Wang; Yi Guo 002; Feng Xu; Shaoting Zhang 001 (CoRR, 2024)

Domain composition and attention network trained with synthesized unlabeled images for generalizable medical image segmentation. - Jiangshan Lu; Ran Gu; Wenjun Liao; Shichuan Zhang; Huijun Yu; Shaoting Zhang 001; Guotai Wang (Neurocomputing, 2024)

DMSPS: Dynamically mixed soft pseudo-label supervision for scribble-supervised medical image segmentation. - Meng Han; Xiangde Luo; Xiangjiang Xie; Wenjun Liao; Shichuan Zhang; Tao Song 002; Guotai Wang; Shaoting Zhang 001 (Medical Image Anal., 2024)

Semi-supervised pathological image segmentation via cross distillation of multiple attentions and Seg-CAM consistency. - Lanfeng Zhong; Xiangde Luo; Xin Liao; Shaoting Zhang 001; Guotai Wang (Pattern Recognit., 2024)

Deep learning-based automated steel surface defect segmentation: a comparative experimental study. - Dejene M. Sime; Guotai Wang; Zhi Zeng; Bei Peng 002 (Multim. Tools Appl., 2024)

One-Shot Weakly-Supervised Segmentation in 3D Medical Images. - Wenhui Lei; Qi Su; Tianyu Jiang; Ran Gu; Na Wang; Xinglong Liu; Guotai Wang; Xiaofan Zhang 002; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2024)

FPL+: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation. - Jianghao Wu 001; Dong Guo; Guotai Wang; Qiang Yue; Huijun Yu; Kang Li 004; Shaoting Zhang 001 (IEEE Trans. Medical Imaging, 2024)

CLISC: Bridging Clip and SAM by Enhanced CAM for Unsupervised Brain Tumor Segmentation. - Xiaochuan Ma; Jia Fu; Wenjun Liao; Shichuan Zhang; Guotai Wang (ISBI, 2025)

Fairness Analysis of Clip-Based Foundation Models for X-Ray Image Classification. - Xiangyu Sun; Xiaoguang Zou; Yuanquan Wu; Guotai Wang; Shaoting Zhang 001 (ISBI, 2025)

SRPL-SFDA: Sam-Guided Reliable Pseudo-Labels For Source-Free Domain Adaptation in medical image segmentation. - Xinya Liu; Jianghao Wu 001; Tao Lu; Shaoting Zhang 001; Guotai Wang (Neurocomputing, 2025)

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. - Xiangde Luo; Jia Fu; Yunxin Zhong; Shuolin Liu; Bing Han; Mehdi Astaraki; Simone Bendazzoli; Iuliana Toma-Dasu; Yiwen Ye; Ziyang Chen 003; Yong Xia 001; Yanzhou Su; et al. (Medical Image Anal., 2025)

UM-CAM: Uncertainty-weighted multi-resolution class activation maps for weakly-supervised segmentation. - Jia Fu; Guotai Wang; Tao Lu; Qiang Yue; Tom Vercauteren; Sébastien Ourselin; Shaoting Zhang 001 (Pattern Recognit., 2025)

Fine-grained medical image out-of-distribution detection through multi-view feature uncertainty and adversarial sample generation. - Jie Wei; Guotai Wang; Shaoting Zhang 001 (Pattern Recognit., 2025)

GLFC: Unified Global-Local Feature and Contrast Learning with Mamba-Enhanced UNet for Synthetic CT Generation from CBCT. - Xianhao Zhou; Jianghao Wu 001; Huangxuan Zhao; Lei Chen; Shaoting Zhang 001; Guotai Wang (CoRR, 2025)

Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model. - Zihao Luo; Zijun Gao; Wenjun Liao; Shichuan Zhang; Guotai Wang; Xiangde Luo (CoRR, 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. - Vladyslav Zalevskyi; Thomas Sanchez; Misha P. T. Kaandorp; Margaux Roulet; Diego Fajardo Rojas; Liu Li; Jana Hutter; Hongwei Bran Li; Matthew J. Barkovich; Hui Ji; Luca Wilhelmi; Aline Dändliker; et al. (CoRR, 2025)

OpenPath: Open-Set Active Learning for Pathology Image Classification via Pre-trained Vision-Language Models. - Lanfeng Zhong; Xin Liao; Shichuan Zhang; Shaoting Zhang 001; Guotai Wang (CoRR, 2025)

MedCAL-Bench: A Comprehensive Benchmark on Cold-Start Active Learning with Foundation Models for Medical Image Analysis. - Ning Zhu; Xiaochuan Ma; Shaoting Zhang 001; Guotai Wang (CoRR, 2025)