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)

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)

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

Medical Image Segmentation using Squeeze-and-Expansion Transformers. - Shaohua Li 003; Xiuchao Sui; Xiangde Luo; Xinxing Xu; Yong Liu 026; Rick Siow Mong Goh (IJCAI, 2021)

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

Fully Test-Time Adaptation for Image Segmentation. - Minhao Hu; Tao Song 002; Yujun Gu; Xiangde Luo; Jieneng Chen; Yinan Chen; Ya Zhang 002; Shaoting Zhang 001 (MICCAI (3), 2021)

Few-Shot Domain Adaptation with Polymorphic Transformers. - Shaohua Li 003; Xiuchao Sui; Jie Fu; Huazhu Fu; Xiangde Luo; Yangqin Feng; Xinxing Xu; Yong Liu 026; Daniel Shu Wei Ting; Rick Siow Mong Goh (MICCAI (2), 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)

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. - Jieneng Chen; Yongyi Lu; Qihang Yu; Xiangde Luo; Ehsan Adeli 001; Yan Wang 033; Le Lu 001; Alan L. Yuille; Yuyin Zhou (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)

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)

Efficient Semi-supervised Multi-organ Segmentation Using Uncertainty Rectified Pyramid Consistency. - Meng Han; Yijie Qu; Xiangde Luo (FLARE@MICCAI, 2022)

Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping. - Yunxiang Li; Ruilong Dan; Shuai Wang 003; Yifan Cao; Xiangde Luo; Chenghao Tan; Gangyong Jia; Huiyu Zhou 001; You Zhang 003; Yaqi Wang 002; Li Wang 026 (MLMI@MICCAI, 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)

Source-free Domain Adaptation for Multi-site and Lifespan Brain Skull Stripping. - Yunxiang Li; Ruilong Dan; Shuai Wang 003; Yifan Cao; Xiangde Luo; Chenghao Tan; Gangyong Jia; Huiyu Zhou 001; Yaqi Wang 002; Li Wang 026 (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)

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)

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)

Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation. - Xingguang Wang; Zhongyu Li 002; Xiangde Luo; Jing Wan; Jianwei Zhu; Ziqi Yang; Meng Yang; Cunbao Xu (MICCAI (1), 2023)

Advancing Delineation of Gross Tumor Volume Based on Magnetic Resonance Imaging by Performing Source-Free Domain Adaptation in Nasopharyngeal Carcinoma. - Hongqiu Wang; Shichen Zhang; Xiangde Luo; Wenjun Liao; Lei Zhu 003 (CMMCA@MICCAI, 2023)

ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding. - Zihan Li; Yuan Zheng; Xiangde Luo; Dandan Shan; Qingqi Hong (ACM Multimedia, 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)

Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification. - Ziqi Yang; Zhongyu Li 002; Chen Liu; Xiangde Luo; Xingguang Wang; Dou Xu; Chaoqun Li 008; Xiaoying Qin; Meng Yang; Long Jin (CoRR, 2023)

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Lei Xing 001; et al. (CoRR, 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)

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)

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation. - Zhe Xu 012; Yixin Wang 003; Donghuan Lu; Xiangde Luo; Jiangpeng Yan; Yefeng Zheng 001; Raymond Kai-Yu Tong (Medical Image Anal., 2023)

Toward Source-Free Cross Tissues Histopathological Cell Segmentation via Target-Specific Finetuning. - Zhongyu Li 002; Chaoqun Li 008; Xiangde Luo; Yitian Zhou; Jihua Zhu; Cunbao Xu; Meng Yang; Yenan Wu; Yifeng Chen (IEEE Trans. Medical Imaging, 2023)

Diversified and Personalized Multi-Rater Medical Image Segmentation. - Yicheng Wu 001; Xiangde Luo; Zhe Xu 012; Xiaoqing Guo; Lie Ju; Zongyuan Ge; Wenjun Liao; Jianfei Cai 001 (CVPR, 2024)

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)

Sam-Driven Weakly Supervised Nodule Segmentation with Uncertainty-Aware Cross Teaching. - Xingyue Zhao; Peiqi Li; Xiangde Luo; Meng Yang; Shi Chang; Zhongyu Li 002 (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)

Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-center Dataset. - Hongqiu Wang; Xiangde Luo; Wu Chen; Qingqing Tang; Mei Xin; Qiong Wang 001; Lei Zhu 003 (MICCAI (9), 2024)

Dataset, Challenge, and Evaluation for Tumor Segmentation Variability. - Yicheng Wu 001; Yutong Xie 001; Xiangde Luo; Qi Wu 001; Jianfei Cai 001 (ACM Multimedia, 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)

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)

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Shaoting Zhang 001; et al. (Medical Image Anal., 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)

Ultrasound Nodule Segmentation Using Asymmetric Learning With Simple Clinical Annotation. - Xingyue Zhao; Zhongyu Li 002; Xiangde Luo; Peiqi Li; Peng Huang; Jianwei Zhu; Yang Liu 090; Jihua Zhu; Meng Yang; Shi Chang; Jun Dong (IEEE Trans. Circuits Syst. Video Technol., 2024)

Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation Across Multiple Hospitals. - Hongqiu Wang; Jian Chen; Shichen Zhang; Yuan He; Jinfeng Xu; Mengwan Wu; Jinlan He; Wenjun Liao; Xiangde Luo (IEEE Trans. Medical Imaging, 2024)

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)

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)

DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model. - Han Zhang 010; Xiangde Luo; Yong Chen; Kang Li 004 (CoRR, 2025)

Versatile Source-Free Active Domain Adaptation for multi-center and multi-rater medical image segmentation. - Hongqiu Wang; Shichen Zhang; Jian Chen; Yuan He; Jinfeng Xu; Hui Huang; Jianghong Xiao; Lu Li; Wenjun Liao; Shaoting Zhang 001; Xiangde Luo (Inf. Fusion, 2026)