activity
20232026
collaborators

6 papers

eess.IV2026

Clinical-Injection Transformer with Domain-Adapted MAE for Lupus Nephritis Prognosis Prediction

Yuewen Huang, Zhitao Ye, Guangnan Feng +3

Lupus nephritis (LN) is a severe complication of systemic lupus erythematosus that affects pediatric patients with significantly greater severity and worse renal outcomes compared…

cs.CV2025

LEAF: Latent Diffusion with Efficient Encoder Distillation for Aligned Features in Medical Image Segmentation

Qilin Huang, Tianyu Lin, Zhiguang Chen +1

Leveraging the powerful capabilities of diffusion models has yielded quite effective results in medical image segmentation tasks. However, existing methods typically transfer the o…

cs.CV2024

Stable Diffusion Segmentation for Biomedical Images with Single-step Reverse Process

Tianyu Lin, Zhiguang Chen, Zhonghao Yan +2

Diffusion models have demonstrated their effectiveness across various generative tasks. However, when applied to medical image segmentation, these models encounter several challeng…

cs.CV2024

Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning

Fudan Zheng, Jindong Cao, Weijiang Yu +3

Most advances in medical image recognition supporting clinical auxiliary diagnosis meet challenges due to the low-resource situation in the medical field, where annotations are hig…

cs.CV2024

Intensive Vision-guided Network for Radiology Report Generation

Fudan Zheng, Mengfei Li, Ying Wang +5

Automatic radiology report generation is booming due to its huge application potential for the healthcare industry. However, existing computer vision and natural language processin…

cs.LG2023

AdaNAS: Adaptively Post-processing with Self-supervised Neural Architecture Search for Ensemble Rainfall Forecasts

Yingpeng Wen, Weijiang Yu, Fudan Zheng +2

Previous post-processing studies on rainfall forecasts using numerical weather prediction (NWP) mainly focus on statistics-based aspects, while learning-based aspects are rarely in…