Assistant Professor
Dr. Baheti’s research has focused on developing advanced artificial intelligence algorithms to address complex problems in computer vision as well as medical imaging. Over the past few years, she has been investigating the computational analysis of digitized tissue sections to understand the underlying tumor microenvironment and to predict prognosis of patients with brain glioblastoma. She also has worked on exploring the association between imaging features extracted with their molecular characteristics and cancer subtyping. Dr. Baheti was the lead organizer of the first-ever brain tumor sequence registration (BraTS-Reg) challenge, which focused on establishing the benchmark environment for deformable image registration algorithms. She has also worked on the implementation and validation of convolutional filters for quantitative image feature extraction, as part of the international collaborative effort of the Image Biomarker Standardization Initiative (IBSI) to ensure reproducibility in feature extractors.
Dr. Baheti was previously an assistant professor in the Department of Pathology and Laboratory Medicine of the Indiana University School of Medicine. Dr. Baheti earned PhD degree from India and was a postdoctoral researcher at Center for AI and Data Science for Integrated Diagnostics of University of Pennsylvania.