A Multi-task Learning Method for Direct Estimation of Spinal Curvature. - Jiacheng Wang 002; Liansheng Wang; Changhua Liu (CSI@MICCAI, 2019)

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)

Efficient Global-Local Memory for Real-Time Instrument Segmentation of Robotic Surgical Video. - Jiacheng Wang 002; Yueming Jin; Liansheng Wang; Shuntian Cai; Pheng-Ann Heng; Jing Qin 001 (MICCAI (4), 2021)

Cross-Domain Landmarks Detection in Mitral Regurgitation. - Jiacheng Wang 002; Haojie Wang; Ruochen Mu; Liansheng Wang (DGM4MICCAI/DALI@MICCAI, 2021)

Boundary-Aware Transformers for Skin Lesion Segmentation. - Jiacheng Wang 002; Lan Wei; Liansheng Wang; Qichao Zhou; Lei Zhu 003; Jing Qin 001 (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)

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)

Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation. - Jiacheng Wang 002; Xiaomeng Li 001; Yiming Han; Jing Qin 001; Liansheng Wang; Qichao Zhou (AAAI, 2022)

Personalizing Federated Medical Image Segmentation via Local Calibration. - Jiacheng Wang 002; Yueming Jin; Liansheng Wang (ECCV (21), 2022)

Boundry-Aware Pyramid Transformer For Polyp Segmentation. - Jiacheng Wang 002; Yuxi Ma; Ruochen Mu; Liansheng Wang (EndoCV@ISBI, 2022)

Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19. - Liansheng Wang; Jiacheng Wang 002; Lei Zhu 003; Huazhu Fu; Ping Li 016; Gary Cheng 001; Zhipeng Feng; Shuo Li 001; Pheng-Ann Heng (CoRR, 2022)

CoCycleReg: Collaborative cycle-consistency method for multi-modal medical image registration. - Chenyu Lian; Xiaomeng Li 001; Lingke Kong; Jiacheng Wang 002; Wei Zhang 010; Xiaoyang Huang; Liansheng Wang (Neurocomputing, 2022)

Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network. - Jiacheng Wang 002; Yueming Jin; Shuntian Cai; Hongzhi Xu; Pheng-Ann Heng; Jing Qin 001; Liansheng Wang (Medical Image Anal., 2022)

Indescribable Multi-Modal Spatial Evaluator. - Lingke Kong; X. Sharon Qi; Qijin Shen; Jiacheng Wang 002; Jingyi Zhang; Yanle Hu; Qichao Zhou (CVPR, 2023)

G2LL: Global-To-Local Self-Supervised Learning for Label-Efficient Transformer-Based Skin Lesion Segmentation in Dermoscopy Images. - Fei Chen 003; Jiacheng Wang 002; Baptiste Magnier; Wei Xue; Shaohui Huang; Liansheng Wang (ISBI, 2023)

Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation. - Yuchen Tian; Jiacheng Wang 002; Yueming Jin; Liansheng Wang (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Medical Boundary Diffusion Model for Skin Lesion Segmentation. - Jiacheng Wang 002; Jing Yang 046; Qichao Zhou; Liansheng Wang (MICCAI (4), 2023)

Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge. - Jun Ma 016; Yao Zhang 010; Song Gu; Cheng Ge; Shihao Ma; Adamo Young; Cheng Zhu; Kangkang Meng; Xin Yang 009; Ziyan Huang; Fan Zhang; Wentao Liu; et al. (CoRR, 2023)

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. - Chinedu Innocent Nwoye; Deepak Alapatt; Tong Yu 009; Armine Vardazaryan; Fangfang Xia; Zixuan Zhao; Tong Xia; Fucang Jia; Yuxuan Yang; Hao Wang 081; Derong Yu; Guoyan Zheng; et al. (Medical Image Anal., 2023)

XBound-Former: Toward Cross-Scale Boundary Modeling in Transformers. - Jiacheng Wang 002; Fei Chen 003; Yuxi Ma; Liansheng Wang; Zhaodong Fei; Jianwei Shuai; Xiangdong Tang; Qichao Zhou; Jing Qin 001 (IEEE Trans. Medical Imaging, 2023)

Dual Multiscale Mean Teacher Network for Semi-Supervised Infection Segmentation in Chest CT Volume for COVID-19. - Liansheng Wang; Jiacheng Wang 002; Lei Zhu 003; Huazhu Fu; Ping Li 016; Gary Cheng 001; Zhipeng Feng; Shuo Li 001; Pheng-Ann Heng (IEEE Trans. Cybern., 2023)

Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning. - Haoyue Song; Jiacheng Wang 002; Liansheng Wang (CoRR, 2024)

SMILE-UHURA Challenge - Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms. - Soumick Chatterjee; Hendrik Mattern; Marc Dörner; Alessandro Sciarra; Florian Dubost; Hannes Schnurre; Rupali Khatun; Chun-Chih Yu; Tsung-Lin Hsieh; Yi-Shan Tsai; Yi-Zeng Fang; Yung-Ching Yang; et al. (CoRR, 2024)

FedDP: Dual Personalization in Federated Medical Image Segmentation. - Jiacheng Wang 002; Yueming Jin; Danail Stoyanov; Liansheng Wang (IEEE Trans. Medical Imaging, 2024)

Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation. - Yuxi Ma; Jiacheng Wang 002; Jing Yang 046; Liansheng Wang (IEEE Trans. Medical Imaging, 2024)

DDKG: A Dual Domain Knowledge Guidance strategy for localization and diagnosis of non-displaced femoral neck fractures. - Jing Yang 046; Lianxin Wang; Chen Lin; Jiacheng Wang 002; Liansheng Wang (Medical Image Anal., 2025)

Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation. - Xinyi Tan; Jiacheng Wang 002; Liansheng Wang (CoRR, 2025)

Tackling Modality-Heterogeneous Client Drift Holistically for Heterogeneous Multimodal Federated Learning. - Haoyue Song; Jiacheng Wang 002; Jianjun Zhou; Liansheng Wang (IEEE Trans. Medical Imaging, 2025)

Personalizing Federated Instrument Segmentation With Visual Trait Priors in Robotic Surgery. - Jialang Xu; Jiacheng Wang 002; Lequan Yu; Danail Stoyanov; Yueming Jin; Evangelos B. Mazomenos (IEEE Trans. Biomed. Eng., 2025)