Brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint. - Chenyu Liu; Wangbin Ding; Lei Li 020; Zhen Zhang 057; Chenhao Pei; Liqin Huang; Xiahai Zhuang (BrainLes@MICCAI (1), 2020)

Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks. - Wangbin Ding; Lei Li 020; Xiahai Zhuang; Liqin Huang (MICCAI (3), 2020)

Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. - Lei Li 020; Veronika A. Zimmer; Wangbin Ding; Fuping Wu; Liqin Huang; Julia A. Schnabel; Xiahai Zhuang (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Multi-modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images. - Zhen Zhang; Chenyu Liu; Wangbin Ding; Sihan Wang; Chenhao Pei; Mingjing Yang; Liqin Huang (MyoPS@MICCAI, 2020)

Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information. - Wangbin Ding; Lei Li 020; Liqin Huang; Xiahai Zhuang (STACOM@MICCAI, 2021)

Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. - Lei Li 020; Wangbin Ding; Liqin Huang; Xiahai Zhuang (STACOM@MICCAI, 2021)

Interpretative computer-aided lung cancer diagnosis: From radiology analysis to malignancy evaluation. - Shaohua Zheng; Zhiqiang Shen; Chenhao Pei; Wangbin Ding; Haojin Lin; Jiepeng Zheng; Lin Pan; Bin Zheng; Liqin Huang (Comput. Methods Programs Biomed., 2021)

Unsupervised MMRegNet based on Spatially Encoded Gradient Information. - Wangbin Ding; Lei Li 020; Xiahai Zhuang; Liqin Huang (CoRR, 2021)

Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. - Lei Li 020; Wangbin Ding; Liqun Huang; Xiahai Zhuang (CoRR, 2021)

Multi-depth Boundary-Aware Left Atrial Scar Segmentation Network. - Mengjun Wu; Wangbin Ding; Mingjing Yang; Liqin Huang (LAScarQS@MICCAI, 2022)

Multi-Depth Boundary-Aware Left Atrial Scar Segmentation Network. - Mengjun Wu; Wangbin Ding; Mingjin Yang; Liqin Huang (CoRR, 2022)

Multi-Modality Cardiac Image Computing: A Survey. - Lei Li 020; Wangbin Ding; Liqun Huang; Xiahai Zhuang; Vicente Grau (CoRR, 2022)

Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion. - Wangbin Ding; Lei Li 020; Xiahai Zhuang; Liqin Huang (IEEE J. Biomed. Health Informatics, 2022)

Abdomen Multi-organ Segmentation Using Pseudo Labels and Two-Stage. - Xinye Yang; Xuru Zhang; Xiaochao Yan; Wangbin Ding; Hao Chen; Liqin Huang (FLARE@MICCAI, 2023)

Multi-modality cardiac image computing: A survey. - Lei Li 020; Wangbin Ding; Liqin Huang; Xiahai Zhuang; Vicente Grau (Medical Image Anal., 2023)

Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. - Wangbin Ding; Lei Li 020; Junyi Qiu; Sihan Wang; Liqin Huang; Yinyin Chen; Shan Yang; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2023)

Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution. - Zilong Wang; Xinyang Ge; Xiaorong Chen; Lei Li 020; Wangbin Ding; Yuanye Liu; Fuping Wu; Dengqiang Jia (ShapeMI@MICCAI, 2024)

Multi-Organ Registration With Continual Learning. - Wangbin Ding; Haoran Sun; Chenhao Pei; Dengqiang Jia; Liqin Huang (IEEE Signal Process. Lett., 2024)

Multi-Source Domain Adaptation for Medical Image Segmentation. - Chenhao Pei; Fuping Wu; Mingjing Yang; Lin Pan; Wangbin Ding; Jinwei Dong; Liqin Huang; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2024)

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)