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2020 – today
- 2024
[j4]Yang Nan
, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Pingyu Wang, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Abdul Qayyum, Moona Mazher, Athol Wells, Simon L. F. Walsh, Guang Yang:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. Medical Image Anal. 97: 103253 (2024)- 2023
- [c7]Wen Tang, Chenhao Pei, Pengxin Yu, Huan Zhang, Xiangde Min, Cancan Chen, Han Kang, Weixin Xu, Rongguo Zhang:
Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 79-88 - [i5]Yang Nan, Xiaodan Xing, Shiyi Wang, Zeyu Tang, Federico N. Felder, Sheng Zhang, Roberta Eufrasia Ledda, Xiaoliu Ding, Ruiqi Yu, Weiping Liu, Feng Shi, Tianyang Sun, Zehong Cao, Minghui Zhang, Yun Gu, Hanxiao Zhang, Jian Gao, Wen Tang, Pengxin Yu, Han Kang, Junqiang Chen, Xing Lu, Boyu Zhang, Michail Mamalakis, Francesco Prinzi, Gianluca Carlini, Lisa Cuneo, Abhirup Banerjee, Zhaohu Xing, Lei Zhu, Zacharia Mesbah, Dhruv Jain, Tsiry Mayet, Hongyu Yuan, Qing Lyu, Athol Wells, Simon Walsh, Guang Yang:
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. CoRR abs/2312.13752 (2023) - 2022
- [j3]Qiuju Li, Han Kang, Rongguo Zhang, Qiyong Guo:
Non-invasive precise staging of liver fibrosis using deep residual network model based on plain CT images. Int. J. Comput. Assist. Radiol. Surg. 17(4): 627-637 (2022) - [c6]Yanfeng Sun, Han Kang, Huan Zhang, Yu Wang, Hong Shen, Pengxin Yu:
A Global-Local Cascade Network for Multi-bone Segmentation in Chest CT. BIBM 2022: 809-812 - [c5]Wen Tang, Haoyue Zhang, Pengxin Yu, Han Kang, Rongguo Zhang:
MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients. EMBC 2022: 3805-3808 - [c4]Wen Tang, Han Kang, Haoyue Zhang, Pengxin Yu, Corey W. Arnold, Rongguo Zhang:
Transformer Lesion Tracker. MICCAI (6) 2022: 196-206 - [c3]Pengxin Yu, Haoyue Zhang, Han Kang, Wen Tang, Corey W. Arnold, Rongguo Zhang:
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans. MICCAI (6) 2022: 344-353 - [i4]Wen Tang, Han Kang, Haoyue Zhang, Pengxin Yu, Corey W. Arnold, Rongguo Zhang:
Transformer Lesion Tracker. CoRR abs/2206.06252 (2022) - [i3]Pengxin Yu, Haoyue Zhang, Han Kang, Wen Tang, Corey W. Arnold, Rongguo Zhang:
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans. CoRR abs/2206.06253 (2022) - [i2]Wen Tang, Haoyue Zhang, Pengxin Yu, Han Kang, Rongguo Zhang:
MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients. CoRR abs/2206.06267 (2022) - 2021
- [c2]Wen Tang, Han Kang, Ying Cao, Pengxin Yu, Hu Han, Rongguo Zhang, Kuan Chen:
M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19. MICCAI (7) 2021: 262-272
2010 – 2019
- 2018
- [i1]Han Kang, Defeng Chen:
Multi-Scale Fully Convolutional Network for Cardiac Left Ventricle Segmentation. CoRR abs/1809.10203 (2018) - 2013
- [j2]Han Kang, Antonio Pinti, Abdelmalik Taleb-Ahmed:
Automatic tissue classification by integrating medical expert anatomic ontologies. Int. J. Adv. Oper. Manag. 5(1): 3-13 (2013) - 2011
- [j1]Han Kang, Antonio Pinti, Abdelmalik Taleb-Ahmed, Xianyi Zeng:
An intelligent generalized system for tissue classification on MR images by integrating qualitative medical knowledge. Biomed. Signal Process. Control. 6(1): 21-26 (2011)
2000 – 2009
- 2009
- [b1]Han Kang:
Contribution à la classification automatique de tissus corporels par intégration des connaissances médicales qualitatives: application aux maladies et déficiences musculo-squelletiques. (Contribution to automatic corporal tissue classification by integrating qualitative medical knowledge / Contribution to automatic corporal tissue classification by integrating qualitative medical knowledge: application to the analysis of musculo skeletal diseases and disabilities from MRI sequences). University of Valenciennes and Hainaut-Cambresis, France, 2009 - [c1]Han Kang, Robert Meersman:
Formal Representation of Tissue Geometric Features by DOGMA Ontology. 3DPH 2009: 220-228
Coauthor Index
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