معرفی
James Gee is an Associate Professor in the Department of Computer and Information Science, with affiliations in Radiology. His work focuses on advanced medical imaging techniques, including neuroimaging applications for Alzheimer’s disease and frontotemporal lobar degeneration. He is known for contributions to image registration algorithms, MRI-based phenotyping, and computational tools for clinical diagnostics. His research integrates machine learning, neuroanatomy, and large-scale biomedical data analysis.
Key research areas include:
- Development of deformable image registration methods
- Ex vivo MRI analysis of brain pathology
- AI-driven automated reporting systems in radiology
- Genetic and imaging correlates of cardiovascular and thoracic disorders
Notable projects include the Penn ex vivo atlas of the hippocampus, which provides high-resolution anatomical reference frameworks for neurodegenerative studies. His recent work explores multimodal data integration for disease diagnosis and prognostication.
Publications emphasize advancements in medical image analysis, including applications in neurology, oncology, and cardiology. Collaborations span disciplines such as computational biology, clinical radiology, and artificial intelligence.
