Shuchang Ye

According to our database, Shuchang Ye authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

CBT-Audio: Evaluating Audio Language Models for Patient-Side Distress Intensity Estimation in CBT Session Recordings.

Qixuan Hu, Shuchang Ye, Xumou Zhang, Anastasia Serafimovska, Anastasia Suraev, Amit Saha, Ping-Hsiu Lin, Sydney Su, Usman Naseem, Adam G. Dunn, Jinman Kim

CoRR, May, 2026

RadGenome-Anatomy: A Large-Scale Anatomy-Labeled Chest Radiograph Dataset via Physically Grounded Volumetric Projection.

Shuchang Ye, Mingyuan Meng, Hao Wang, Usman Naseem, Jinman Kim

CoRR, May, 2026

Beyond Calibration: Confounding Pathology Limits Foundation Model Specificity in Abdominal Trauma CT.

Jineel Raythatha, Shuchang Ye, Jeremy Hsu, Jinman Kim

CoRR, February, 2026

2025

MRG-R1: Reinforcement Learning for Clinically Aligned Medical Report Generation.

Pengyu Wang, Shuchang Ye, Usman Naseem, Jinman Kim

CoRR, December, 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, May, 2025

MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction.

Andrew Zhang, Hao Wang, Shuchang Ye, Michael J. Fulham, Jinman Kim

CoRR, May, 2025

SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Models.

Mingxiao Tu, Shuchang Ye, Hoijoon Jung, Jinman Kim

CoRR, April, 2025

LVMed-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation.

Hao Wang, Shuchang Ye, Jinghao Lin, Usman Naseem, Jinman Kim

CoRR, April, 2025

Alleviating Textual Reliance in Medical Language-Guided Segmentation via Prototype-Driven Semantic Approximation.

Shuchang Ye, Usman Naseem, Mingyuan Meng, Jinman Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs.

Pengyu Wang, Shuchang Ye, Usman Naseem, Jinman Kim

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025

2024

Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments.

Mingjian Li, Mingyuan Meng, Shuchang Ye, David Dagan Feng, Lei Bi, 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, Jinman Kim

CoRR, 2024

Dual-modal Dynamic Traceback Learning for Medical Report Generation.

Shuchang Ye, Mingyuan Meng, Mingjian Li, Dagan Feng, Jinman Kim

CoRR, 2024

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Semantic-Driven Global-Local Cooperative Contrastive Learning for Medical Report Generation.

Shuchang Ye, Mingyuan Meng, David Dagan Feng, Jinman Kim

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023