Raghav Mehta
Scholar

Raghav Mehta

Google Scholar ID: fM3bx6AAAAAJ
Imperial College London
Medical Image AnalysisDeep learningMachine LearningResponsible AITrustworthy AI
Citations & Impact
All-time
Citations
728
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Multiple papers accepted at TMLR 2025, MICCAI 2025 workshops, ICCV 2025; Organizing UNSURE workshop in conjunction with MICCAI 2025; Serving as an Area Chair for MIDL 2025; Master’s thesis work on First Indian Brain Atlas featured in various Indian news outlets.
Research Experience
  • Currently a Research Associate (PostDoc) at Imperial College London, working with Prof. Ben Glocker in the BioMedIA group. Previously worked in the Probabilistic Vision Group (PVG) at McGill University and the Medical Image Processing (MIP) group at IIIT-H.
Education
  • Ph.D. in Electrical & Computer Engineering from McGill University, supervised by Prof. Tal Arbel; M.S. in Electronics & Communication Engineering from International Institute of Information Technology - Hyderabad, supervised by Prof. Jayanthi Sivaswamy
Background
  • Research interests: Machine Learning and Medical Image Analysis. Focused on responsible and trustworthy machine learning models for medical image analysis.
Miscellany
  • In his free time, he likes to read books, hike, binge watch TV series, and sleep.