12 citations · 12 across the 8 of their papers we have counts for
3 papers · 1 filter
AEPL: Automated and Editable Prompt Learning for Brain Tumor Segmentation
Yongheng Sun, Mingxia Liu, Chunfeng Lian
Brain tumor segmentation is crucial for accurate diagnosisand treatment planning, but the small size and irregular shapeof tumors pose significant challenges. Existing methods of-t…
R2Gen-Mamba: A Selective State Space Model for Radiology Report Generation
Yongheng Sun, Yueh Z. Lee, Genevieve A. Woodard +3
Radiology report generation is crucial in medical imaging,but the manual annotation process by physicians is time-consuming and labor-intensive, necessitating the develop-ment of a…
Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning
Chen Shen, Chunfeng Lian, Wanqing Zhang +11
Forensic pathology is critical in determining the cause and manner of death through post-mortem examinations, both macroscopic and microscopic. The field, however, grapples with is…