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2020 – today
- 2025
[j52]Jia Fu, Guotai Wang, Tao Lu, Qiang Yue, Tom Vercauteren, Sébastien Ourselin, Shaoting Zhang:
UM-CAM: Uncertainty-weighted multi-resolution class activation maps for weakly-supervised segmentation. Pattern Recognit. 160: 111204 (2025)- 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) - [c53]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 - [c52]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 - [c51]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 - [c50]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 - [c49]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 - [c48]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 - [c47]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 - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]Tao Song, Yicheng Wu, Minhao Hu, Xiangde Luo, Linda Wei, Guotai Wang, Yi Guo, Feng Xu, Shaoting Zhang:
Cross Group Attention and Group-wise Rolling for Multimodal Medical Image Synthesis. CoRR abs/2411.14684 (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) - [c46]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 - [c45]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 - [c44]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 - [c43]Baosheng Zou, Zongguang Zhou, Ying Han, Kang Li, Guotai Wang:
Multi-Scale Convolution-Transformer Fusion Network for Endoscopic Image Segmentation. ISBI 2023: 1-5 - [c42]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 - [c41]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 - [c40]Yubo Zhou, Lanfeng Zhong, Guotai Wang:
Brain Tumor Segmentation Based on Self-supervised Pre-training and Adaptive Region-Specific Loss. BraTS/CrossMoDA@MICCAI 2023: 46-57 - [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 - [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
- [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) - [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 - [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
- [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) - [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]