activity
20242026
collaborators

7 papers

eess.IV2026

Multi-Contrast MRI Motion Correction via Parameter-Informed Disentanglement and Adaptive Experts

Honglin Xiong, Yuxian Tang, Feng Li +4

Motion artifacts in magnetic resonance imaging (MRI) degrade diagnostic reliability. Existing deep learning methods are typically contrast-specific and fail to generalize across di…

cs.CV2025

VisionCAD: An Integration-Free Radiology Copilot Framework

Jiaming Li, Junlei Wu, Sheng Wang +7

Widespread clinical deployment of computer-aided diagnosis (CAD) systems is hindered by the challenge of integrating with existing hospital IT infrastructure. Here, we introduce Vi…

cs.CV2025

Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis

Yitao Zhu, Yuan Yin, Jiaming Li +5

The adoption of visual foundation models has become a common practice in computer-aided diagnosis (CAD). While these foundation models provide a viable solution for creating genera…

cs.CV2025

ReactDiff: Latent Diffusion for Facial Reaction Generation

Jiaming Li, Sheng Wang, Xin Wang +4

Given the audio-visual clip of the speaker, facial reaction generation aims to predict the listener's facial reactions. The challenge lies in capturing the relevance between video…

cs.CV2025

Pathology Image Restoration via Mixture of Prompts

Jiangdong Cai, Yan Chen, Zhenrong Shen +5

In digital pathology, acquiring all-in-focus images is essential to high-quality imaging and high-efficient clinical workflow. Traditional scanners achieve this by scanning at mult…

eess.IV2025

LSA: Latent Style Augmentation Towards Stain-Agnostic Cervical Cancer Screening

Jiangdong Cai, Haotian Jiang, Zhenrong Shen +4

The deployment of computer-aided diagnosis systems for cervical cancer screening using whole slide images (WSIs) faces critical challenges due to domain shifts caused by staining v…