MATNet: Exploiting Multi-Modal Features for Radiology Report Generation. - Caozhi Shang; Shaoguo Cui; Tiansong Li; Xi Wang; Yongmei Li; Jingfeng Jiang (IEEE Signal Process. Lett., 2022)

Segment Any Cancer in CT Scans Through Equipping SAM with Cross-Slice Interaction and Indicator Prompt. - Xian Lin; Zhehao Wang; Caozhi Shang; Junjie Shi; Zengqiang Yan; Li Yu 003 (FLARE@MICCAI, 2024)

CDL-UNet: Curriculum-Driven Lightweight 3D U-Net for Abdominal Organ Segmentation. - Zhehao Wang; Xian Lin; Junjie Shi; Caozhi Shang; Li Yu 003; Zengqiang Yan (FLARE@MICCAI, 2024)

GMoD: Graph-Driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation. - ZhiPeng Xiang; Shaoguo Cui; Caozhi Shang; Jingfeng Jiang; Liqiang Zhang (MICCAI (5), 2024)

PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates. - Junjie Shi; Caozhi Shang; Zhaobin Sun; Li Yu 003; Xin Yang 008; Zengqiang Yan (ACM Multimedia, 2024)