Jimit Doshi, M.S.
Artificial Intelligence in Biomedical Imaging Lab (AIBIL)
Center for Biomedical Image Computing & Analytics (CBICA)
Department of Radiology
Perelman School of Medicine
University of Pennsylvania
Richards Labs, Suite 700D
3700 Hamilton Walk
Philadelphia, PA 19104
My main research areas are image segmentation and multivariate pattern analysis using statistical models and machine learning tools. Together with method development, I am also responsible for management, planning and implementation of structural MRI processing and analysis pipelines for several large scale clinical imaging studies involving thousands of subjects and various diseases and conditions, such as normal aging, Alzheimer’s disease, diabetes, brain development etc. I supervised the implementation and application of the MRI processing pipeline, designed the quality control protocols applied on final and intermediate results, and assisted collaborators in interpretation and analysis of the MRI data.
- 2016: One of the 5 most highly cited papers published in Academic Radiology (link)
- 2014: Placed 3rd on the Alzheimer’s Disease Big Data DREAM Challenge #1(3) (link, team “pythia”)
- 2013: First rank in MICCAI 2013 MICCAI Challenge Workshop on Segmentation: Algorithms, Theory and Applications ("SATA");
- 2013: Ranked 4th on the “Top 25 Hottest Articles” on Science Direct
Please refer to the Google Scholar profile.