Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation. - Shuchang Ye; Mingyuan Meng; David Dagan Feng; Jinman Kim (DICTA, 2023)

Enabling Text-Free Inference in Language-Guided Segmentation of Chest X-Rays via Self-guidance. - Shuchang Ye; Mingyuan Meng; Mingjian Li; David Dagan Feng; Jinman Kim (MICCAI (8), 2024)

Dual-modal Dynamic Traceback Learning for Medical Report Generation. - Shuchang Ye; Mingyuan Meng; Mingjian Li; Dagan Feng 001; Jinman Kim (CoRR, 2024)

SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance. - Shuchang Ye; Mingyuan Meng; Mingjian Li; Dagan Feng 001; Jinman Kim (CoRR, 2024)

Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments. - Mingjian Li; Mingyuan Meng; Shuchang Ye; David Dagan Feng; Lei Bi 001; Jinman Kim (CoRR, 2024)

LVMed-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation. - Hao Wang 143; Shuchang Ye; Jinghao Lin; Usman Naseem; Jinman Kim (CoRR, 2025)

SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Models. - Mingxiao Tu; Shuchang Ye; Hoijoon Jung; Jinman Kim (CoRR, 2025)

MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction. - Andrew Zhang; Hao Wang 143; Shuchang Ye; Michael J. Fulham; Jinman Kim (CoRR, 2025)

MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering. - Shuchang Ye; Usman Naseem; Mingyuan Meng; David D. Feng; Jinman Kim (CoRR, 2025)

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs. - Pengyu Wang; Shuchang Ye; Usman Naseem; Jinman Kim (CoRR, 2025)

Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation. - Shuchang Ye; Usman Naseem; Mingyuan Meng; Jinman Kim (CoRR, 2025)