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)

Myocardium Segmentation From DE MRI Using Multicomponent Gaussian Mixture Model and Coupled Level Set. - Jie Liu; Xiahai Zhuang; Lianming Wu; Dongaolei An; Jianrong Xu; Terry M. Peters; Lixu Gu (IEEE Trans. Biomed. Eng., 2017)

Segmentation of Pericardial Adipose Tissue in CMR Images: A Benchmark Dataset MRPEAT and a Triple-Stage Network 3SUnet. - Shuaizheng Chen; Dongaolei An; Chaolu Feng; Zijian Bian; Lianming Wu (IEEE Trans. Medical Imaging, 2023)

Analysis of the Discriminability of Three Types of CMR Image Features for Cardiomyopathy. - Shifeng Zhao; Yanyang Li; Yun Tian 002; Xiaoxuan Zhang; Jinxiao Xiao; Lianming Wu (BIBM, 2024)

Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy. - Yuetan Chu; Gongning Luo; Longxi Zhou; Shaodong Cao; Guolin Ma; Xianglin Meng; Juexiao Zhou; Changchun Yang; Dexuan Xie; Ricardo Henao; Xigang Xiao; Lianming Wu; et al. (CoRR, 2024)

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. - Zi Wang 005; Fanwen Wang; Chen Qin; Jun Lyu; Ouyang Cheng; Shuo Wang 011; Yan Li 064; Mengyao Yu; Haoyu Zhang; Kunyuan Guo; Zhang Shi; Qirong Li; et al. (CoRR, 2024)

Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation. - Zhanshi Zhu; Xinghua Ma; Wei Wang 169; Suyu Dong; Kuanquan Wang; Lianming Wu; Gongning Luo; Guohua Wang; Shuo Li 001 (Medical Image Anal., 2024)

Toward Accurate Cardiac MRI Segmentation With Variational Autoencoder-Based Unsupervised Domain Adaptation. - Hengfei Cui; Yan Li 129; Yifan Wang; Di Xu; Lianming Wu; Yong Xia 001 (IEEE Trans. Medical Imaging, 2024)

A multimodal deep learning framework for automated major adverse cardiovascular events prediction in patients with end-stage renal disease integrating clinical and cardiac MRI data. - Xinyue Sun; Siyu Guan; Lianming Wu; Tianyi Zhang; Liang Ying (Displays, 2025)

Dynamic mask stitching-guided region consistency for semi-supervised 3D medical image segmentation. - Jiahui Wang; Dongsheng Ruan; Yang Li 097; Tao Tan 002; Lianming Wu; Guang Yang 006; Mingfeng Jiang (Expert Syst. Appl., 2025)

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. - Jun Lyu; Chen Qin; Shuo Wang 011; Fanwen Wang; Yan Li 064; Zi Wang 005; Kunyuan Guo; Ouyang Cheng; Michael Tänzer; Meng Liu; Longyu Sun; Mengting Sun; et al. (Medical Image Anal., 2025)

Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis. - Qi Zhang; Xiuyuan Chen; Ziyi He; Lianming Wu; Kun Wang; Jianqi Sun; Hongxing Shen (CoRR, 2025)

U2AD: Uncertainty-based Unsupervised Anomaly Detection Framework for Detecting T2 Hyperintensity in MRI Spinal Cord. - Qi Zhang; Xiuyuan Chen; Ziyi He; Kun Wang; Lianming Wu; Hongxing Shen; Jianqi Sun (CoRR, 2025)

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR. - Wangbin Ding; Lei Li 020; Junyi Qiu; Bogen Lin; Mingjing Yang; Liqin Huang; Lianming Wu; Sihan Wang; Xiahai Zhuang (CoRR, 2025)

CTSL: Codebook-based Temporal-Spatial Learning for Accurate Non-Contrast Cardiac Risk Prediction Using Cine MRIs. - Haoyang Su; Shaohao Rui; Jinyi Xiang; Lianming Wu; Xiaosong Wang (CoRR, 2025)