معرفی
Yong Fan, PhD is an Associate Professor of Radiology at the Perelman School of Medicine, University of Pennsylvania. With expertise in medical image analysis, machine learning, and computational imaging, his research bridges methodological innovation with clinical applications in neuroscience, oncology, and nephrology.
- Primary Affiliations: Department of Radiology, Perelman School of Medicine, University of Pennsylvania
- Graduate Group: Bioengineering
His research focuses on developing advanced machine learning techniques for quantifying brain and organ morphology/function from medical images. Key methodologies include functional connectomics, radiomics, image registration, and personalized neuromodulatory therapies. Clinical applications span Alzheimer’s disease, schizophrenia, depression, addiction, pediatric kidney diseases, and cancer treatment outcome prediction.
Recent publications highlight his leadership in AI-driven medical diagnostics, including novel frameworks for multi-atlas segmentation, dynamic functional connectivity, and cross-site generalization in deep learning. Collaborative work spans neuroimaging genetics, thoracic lymphatic flow quantification, and automated tumor response assessment.
His laboratory advances precision medicine through multimodal data integration, with a strong emphasis on translational research that connects computational methods to real-world clinical challenges.
