Anirban Sengupta, Ph.D.

Anirban Sengupta, PhD, is interested in the intersection of MRI and fMRI data analysis and machine learning techniques. Currently, he is interested in using resting state fMRI for probing various clinically relevant neuroscience questions in primate models. His PhD research work has involved devising methodology for tumor segmentation and grading in glioma patients using a combination of DCE-MRI and conventional MRI parameters under a machine learning framework.

Dr. Sengupta has done a wide range of research, including the analysis of resting state functional connectivity in monkey brain and spinal cord injury models to investigate changes in their functional circuits. He uses data driven techniques such as ICA for detecting characteristic features from the fMRI signal of brain and spinal cord.

Section: Vanderbilt University Institute of Imaging Science