Formal Representation of Tissue Geometric Features by DOGMA Ontology. - Han Kang; Robert Meersman (3DPH, 2009)

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). - Han Kang (2009)

An intelligent generalized system for tissue classification on MR images by integrating qualitative medical knowledge. - Han Kang; Antonio Pinti; Abdelmalik Taleb-Ahmed; Xianyi Zeng (Biomed. Signal Process. Control., 2011)

Automatic tissue classification by integrating medical expert anatomic ontologies. - Han Kang; Antonio Pinti; Abdelmalik Taleb-Ahmed (Int. J. Adv. Oper. Manag., 2013)

Multi-Scale Fully Convolutional Network for Cardiac Left Ventricle Segmentation. - Han Kang; Defeng Chen (CoRR, 2018)

M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19. - Wen Tang; Han Kang; Ying Cao; Pengxin Yu; Hu Han 001; Rongguo Zhang; Kuan Chen (MICCAI (7), 2021)

A Global-Local Cascade Network for Multi-bone Segmentation in Chest CT. - Yanfeng Sun; Han Kang; Huan Zhang; Yu Wang; Hong Shen; Pengxin Yu (BIBM, 2022)

MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients. - Wen Tang; Haoyue Zhang; Pengxin Yu; Han Kang; Rongguo Zhang (EMBC, 2022)

Transformer Lesion Tracker. - Wen Tang; Han Kang; Haoyue Zhang; Pengxin Yu; Corey W. Arnold; Rongguo Zhang (MICCAI (6), 2022)

RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans. - Pengxin Yu; Haoyue Zhang; Han Kang; Wen Tang; Corey W. Arnold; Rongguo Zhang (MICCAI (6), 2022)

Non-invasive precise staging of liver fibrosis using deep residual network model based on plain CT images. - Qiuju Li; Han Kang; Rongguo Zhang; Qiyong Guo (Int. J. Comput. Assist. Radiol. Surg., 2022)

Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method. - Wen Tang; Chenhao Pei; Pengxin Yu; Huan Zhang; Xiangde Min; Cancan Chen; Han Kang; Weixin Xu; Rongguo Zhang (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (CoRR, 2023)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (Medical Image Anal., 2024)

Dark knowledge association guided hashing for unsupervised cross-modal retrieval. - Han Kang; Xiaowei Zhang 003; Wenpeng Han; Mingliang Zhou 001 (Multim. Syst., 2024)