6 papers
Through the Schrödinger Bridge: Benchmarking Antemortem Image Restoration from Postmortem Autolysis to Enhance Forensic Diagnostics
Shuang Hao, Jiacheng Yue, Yaxuan Zhao +4
Forensic histopathology, essential for determining cause of death and disease diagnosis, is severely impeded by postmortem autolysis, i.e., an irreversible, stochastic degradation…
GLI-AL: A Multi-Modal Glioma MRI Label Resource with Unified Anatomy-Lesion Labels
Xingyu Xiang, Shuang Hao, Fan Wang +2
Existing BraTS-GLI datasets provide a widely used benchmark for adult glioma MRI segmentation, but their task definition focuses on tumor subregions and does not systematically rep…
Precision Synthesis of Multi-Tracer PET via VLM-Modulated Rectified Flow for Stratifying Mild Cognitive Impairment
Tuo Liu, Shuijin Lin, Shaozhen Yan +4
The biological definition of Alzheimer's disease (AD) relies on multi-modal neuroimaging, yet the clinical utility of positron emission tomography (PET) is limited by cost and radi…
FEAT: A Multi-Agent Forensic AI System with Domain-Adapted Large Language Model for Automated Cause-of-Death Analysis
Chen Shen, Wanqing Zhang, Kehan Li +17
Forensic cause-of-death determination faces systemic challenges, including workforce shortages and diagnostic variability, particularly in high-volume systems like China's medicole…
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…