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SIIM26 logo footer
  • Attend
    • Hotels + Venue
    • Who Should Attend?
    • Networking Events
    • Justify Your Attendance!
    • Preliminary Program
  • Program
    • Program Agenda
    • Featured Education
      • General Sessions
      • Learning Labs
    • Roadmaps
      • Cardiology
      • Dermatology
      • Ophthalmology
      • Pathology
      • Radiology
    • Continuing Education
    • Speakers List
    • Preliminary Program
  • TECH Expo
    • Exhibitors
    • Alphabetical Exhibitor List
    • Product Categories
    • Floor Plan
  • Pre-Conference
    • Epic Users Group Meeting
    • SIIM-ACR Data Science Summit
  • Exhibit + Sponsor
    • How To Sign Up
    • Sponsor + Advertise
    • Startup Street
    • Booth Contract
    • Rules & Regulations
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    • Suitcase Marketing Policy
  • Register
Senior professional attending SIIM Annual Meeting focused on medical imaging and informatics.
Event Speaker

Sumedh Sonawane, MS

PhD Student
Indiana University Indianapolis

Sumedh Sonawane is a PhD student in the Department of Biomedical Engineering and Informatics at the Luddy School of Informatics, Computing, and Engineering, Indiana University Indianapolis. His research focuses on medical imaging, artificial intelligence, and translational oncology. He currently works on prostate cancer, developing deep learning and multimodal imaging frameworks for disease localization, prognostic modeling, and treatment response prediction. His goal is to translate advanced computational methods into clinically actionable tools that support precision medicine. Beyond prostate cancer, he is interested in extending AI-driven imaging approaches to other oncologic domains to improve risk stratification and personalized treatment planning

Sessions

Disease Specific AI Application Scientific Research Abstracts

Presented by Hana Haver, MD, MSc, Satvik Tripathi, Mohammadreza Amjadzadeh, MD, Theo Dapamede, MD, PhD, Atlas Haddadi Avval, MD, Changhyun Park, Sumedh Sonawane, MS, Taiyu Zhang, PhD in Ophthalmology, Pathology, Radiology Jun 10, 2026 | 1:45 PM.

A Deep Learning Based Pipeline to Generate Spatial Maps and Extract Signal Characteristics of Diffuse Midline Glioma Atlas Haddadi Avval, MD, Postdoctoral Scholar, University of California, San Francisco Nabaan Mir; Evan Bloch; Andreas Rauschecker, MD, PhD A Multi-Channel Deep Convolutional Neural Network for Preoperative Classification of Intraductal Papillary Mucinous Neoplasms (IPMNs) Satvik Tripathi, Researcher, University…

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