Hierarchical Structure of the Human Brain Macro-Scale Networks
Event Date & TimeJune 20, 2019 at 8:00-9:30am
LocationGreehey Children's Cancer Research Institute Auditorium Rm 2.160 (8403 Floyd Curl Drive, San Antonio, TX 78229)
Health care students and professionals are invited to join our grand rounds for clinical case discussion with renowned physicians and researchers.
Topic: Hierarchical Structure of the Human Brain Macro-Scale Networks
Presented by: Ray Razlighi, Ph.D.
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About the Speaker(s)
Ray Razlighi, Ph.D.
Director of the Quantitative Neuroimaging Laboratory, assistant professor of neurological sciences and adjunct assistant professor in the department of biomedical engineering at Columbia University, New York
Ray Razlighi, Ph.D., introduced a new causal Markov random field (MRF) model, named Quadrilateral MRF, which has been influential for image registration and segmentation problems in the medical image analysis field during his graduate training. To date, it has resulted in twelve publications and one patent.
Dr. Razlighi is currently the director of Quantitative Neuroimaging Laboratory (http://www.columbia.edu/cu/ qnl/) where numerous methods have been developed for processing neuroimaging data including: optimal slice-timing correction, region-based spatial normalization, reconstruction of Amyloid-β PET scans, and fMRI native space analysis. He is also the instructor of record for the BMEN-E4840 course, Functional Imaging of Brain, in the Department of Biomedical Engineering every spring.
Dr. Razlighi is the recipient of an NIH career development award (NIH/NIA grant 1K01AG044467) where he is developing and examining a new method for spatial normalization of fMRI data. He has also been awarded the Columbia University research initiatives in science and engineering (RISE) grant support in 2017, Taub Institute Alzheimer’s disease research center (ADRC) pilot award in 2017 and the Irving Institute/integrating special populations (ISP) pilot award in 2018. He has also served as the program chair of the fourth annual meeting of the New York Metropolitan Imaging Research Symposium (NYMIRS2017).