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ORCIDWangbin Ding
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2020 – today
- 2024
[j6]Wangbin Ding
, Haoran Sun, Chenhao Pei, Dengqiang Jia, Liqin Huang:
Multi-Organ Registration With Continual Learning. IEEE Signal Process. Lett. 31: 1204-1208 (2024)- [j5]Chenhao Pei, Fuping Wu, Mingjing Yang, Lin Pan, Wangbin Ding, Jinwei Dong, Liqin Huang, Xiahai Zhuang:
Multi-Source Domain Adaptation for Medical Image Segmentation. IEEE Trans. Medical Imaging 43(4): 1640-1651 (2024) - [c9]Zilong Wang, Xinyang Ge, Xiaorong Chen, Lei Li, Wangbin Ding, Yuanye Liu, Fuping Wu, Dengqiang Jia:
Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution. ShapeMI@MICCAI 2024: 48-58 - 2023
- [j4]Lei Li, Wangbin Ding, Liqin Huang, Xiahai Zhuang, Vicente Grau:
Multi-modality cardiac image computing: A survey. Medical Image Anal. 88: 102869 (2023) - [j3]Wangbin Ding, Lei Li, Junyi Qiu, Sihan Wang, Liqin Huang, Yinyin Chen, Shan Yang, Xiahai Zhuang:
Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. IEEE Trans. Medical Imaging 42(12): 3474-3486 (2023) - [c8]Xinye Yang, Xuru Zhang, Xiaochao Yan, Wangbin Ding, Hao Chen, Liqin Huang:
Abdomen Multi-organ Segmentation Using Pseudo Labels and Two-Stage. FLARE@MICCAI 2023: 41-53 - [i11]Wangbin Ding, Lei Li, Junyi Qiu, Sihan Wang, Liqin Huang, Yinyin Chen, Shan Yang, Xiahai Zhuang:
Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation. CoRR abs/2302.03537 (2023) - 2022
- [j2]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion. IEEE J. Biomed. Health Informatics 26(7): 3104-3115 (2022) - [c7]Mengjun Wu, Wangbin Ding, Mingjing Yang, Liqin Huang:
Multi-depth Boundary-Aware Left Atrial Scar Segmentation Network. LAScarQS@MICCAI 2022: 16-23 - [i10]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. CoRR abs/2202.02000 (2022) - [i9]Mengjun Wu, Wangbin Ding, Mingjin Yang, Liqin Huang:
Multi-Depth Boundary-Aware Left Atrial Scar Segmentation Network. CoRR abs/2208.04940 (2022) - [i8]Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang, Vicente Grau:
Multi-Modality Cardiac Image Computing: A Survey. CoRR abs/2208.12881 (2022) - 2021
- [j1]Shaohua Zheng, Zhiqiang Shen, Chenhao Pei, Wangbin Ding, Haojin Lin, Jiepeng Zheng, Lin Pan, Bin Zheng, Liqin Huang:
Interpretative computer-aided lung cancer diagnosis: From radiology analysis to malignancy evaluation. Comput. Methods Programs Biomed. 210: 106363 (2021) - [c6]Wangbin Ding, Lei Li, Liqin Huang, Xiahai Zhuang:
Unsupervised Multi-modality Registration Network Based on Spatially Encoded Gradient Information. STACOM@MICCAI 2021: 151-159 - [c5]Lei Li, Wangbin Ding, Liqin Huang, Xiahai Zhuang:
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. STACOM@MICCAI 2021: 259-267 - [i7]Shaohua Zheng, Zhiqiang Shen, Chenhao Pei, Wangbin Ding, Haojin Lin, Jiepeng Zheng, Lin Pan, Bin Zheng, Liqin Huang:
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation. CoRR abs/2102.10919 (2021) - [i6]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Unsupervised MMRegNet based on Spatially Encoded Gradient Information. CoRR abs/2105.07392 (2021) - [i5]Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang:
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition. CoRR abs/2109.02171 (2021) - 2020
- [c4]Chenyu Liu, Wangbin Ding, Lei Li, Zhen Zhang, Chenhao Pei, Liqin Huang, Xiahai Zhuang:
Brain Tumor Segmentation Network Using Attention-Based Fusion and Spatial Relationship Constraint. BrainLes@MICCAI (1) 2020: 219-229 - [c3]Zhen Zhang, Chenyu Liu, Wangbin Ding, Sihan Wang, Chenhao Pei, Mingjing Yang, Liqin Huang:
Multi-modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images. MyoPS@MICCAI 2020: 37-48 - [c2]Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang:
Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. M&Ms and EMIDEC/STACOM@MICCAI 2020: 208-218 - [c1]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks. MICCAI (3) 2020: 233-242 - [i4]Zhen Zhang, Chenyu Liu, Wangbin Ding, Sihan Wang, Chenhao Pei, Mingjing Yang, Liqin Huang:
Multi-Modality Pathology Segmentation Framework: Application to Cardiac Magnetic Resonance Images. CoRR abs/2008.05780 (2020) - [i3]Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-Atlas Segmentation Using Deep Neural Networks. CoRR abs/2008.08946 (2020) - [i2]Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang:
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information. CoRR abs/2008.12205 (2020) - [i1]Chenyu Liu, Wangbin Ding, Lei Li, Zhen Zhang, Chenhao Pei, Liqin Huang, Xiahai Zhuang:
Brain Tumor Segmentation Network Using Attention-based Fusion and Spatial Relationship Constraint. CoRR abs/2010.15647 (2020)
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