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Christos Davatzikos, PhD, Professor, Radiology, Electrical and Systems Engineering, Director, Center For AI And Data Science For Integrated Diagnostics (AI2D), Director, Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), University of Pennsylvania
February 22, 2023 @ 4:00 pm - 5:00 pm
Biomedical Research Building – BRB Gaulton Auditorium and Lobby
Title: Machine Learning in Neuroimaging at the AIBIL Laboratory: Applications to Clinical Neuroscience and to Neurooncology
This week hosted by AI2D
Abstract
Machine learning has increasingly been adopted in neuroimaging studies, over the past 20 years. This talk will review our group’s work on applications of machine learning to early diagnosis and prognostication in neurodegenerative and neuropsychiatric diseases, as well as in glioblastoma. Emphasis will be placed on machine learning-based prognostication models, on precision diagnostics via elucidating disease heterogeneity and subtyping, as well as on large-scale analytics efforts from international consortia aiming to provide data of sufficient size and diversity for effective training of machine learning methods.
Bio
Christos Davatzikos is the Wallace T. Miller Sr. Professor of Radiology at the University of Pennsylvania, and Director of the Center for AI and Data Science for Integrated Diagnostics (AI2D), and the director of the AIBIL lab (AI in Biomedical Imaging). He holds a secondary appointment in Electrical and Systems Engineering at Penn as well as at the Bioengineering an Applied Mathematics graduate groups. He obtained his undergraduate degree by the National Technical University of Athens, Greece in 1989, and his Ph.D. degree from Johns Hopkins, in 1994, on a Fulbright scholarship. He then joined the faculty in Radiology and later in Computer Science, where he founded and directed the Neuroimaging Laboratory. In 2002 he moved to Penn, where he founded and directed the section of biomedical image analysis. Dr. Davatzikos’ interests are in medical image analysis. He oversees a diverse research program ranging from basic problems of imaging pattern analysis and machine learning, to a variety of clinical studies of aging and Alzheimer’s Disease, schizophrenia, brain cancer, and brain development. Dr. Davatzikos has served on a variety of scientific journal editorial boards and grant review committees. He is an IEEE fellow, a fellow of the American Institute for Medical and Biological Engineering, and member of the council of distinguished investigators of the US Academy of Radiology and Biomedical Imaging Research.
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