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SIIM Annual Meeting
  • Attend
    • Who Attends
    • Networking Events
    • Hotels & Venue
    • Preliminary Program
    • Press Registration
    • Justification Letter & Tips
    • Health & Safety
  • Program
    • Program Agenda
    • Featured Education
      • General Sessions
      • Learning Labs
      • Scientific Presentations
    • Learning Zones
      • AI Playground
      • Hackathon
      • Learning Theaters
      • Ask the Informaticists
    • Continuing Education
    • Speakers List
    • Preliminary Program
  • Tech Expo
    • InformaticsTECH Day
    • Exhibitors
    • Alphabetical Exhibitor List
    • Product Categories
  • Pre-Conference
    • Epic Users Group Meeting
    • SIIM-ACR Data Science Summit
  • Exhibit+Sponsor
    • Exhibit Signup
    • Sponsor + Advertise
    • Booth Contract
    • Rules & Regulations
    • Exhibitor Resources
    • Vendor Prospectus
    • Suitcase Marketing Policy
  • Register Now
Dapamede Theo
See Full Speaker List
Event Speaker

Theo Dapamede, MS, MD, PhD

Postdoctoral Fellow
Radiology and Imaging Sciences, Emory University
Theo Dapamede is a postdoctoral fellow at Emory University. He is excited to contribute to the advancement of medical AI and its impact on patient care. His journey began with an MD from Brawijaya University in Indonesia, leading him to pursue a PhD at Otago University, NZ. There, he focused on building AI models for image reconstruction, denoising and material decomposition in spectral photon counting CT scans.
Currently, Theo is experimenting with different preprocessing techniques during dataset curation, and is also exploring the exciting possibility of using AI in opportunistic scans to potentially discover hidden clues about diseases.

Sessions

Breakthroughs in Disease Detection: From Imaging Biomarkers to Automated Diagnostics Scientific Research Abstracts 

Presented by Mehrdad Salimitari, PhD, Eduardo Farina, MD, Mohamed K. Ibrahim, MD, Nazanin Maleki, MD, Mohammadreza Chavoshi, MD, Bardia Nadim, MD, Theo Dapamede, MS, MD, PhD, Xue Li May 21, 2025 | 1:45 PMRoom A105

A Combined Deployable End-to-end Automated AI Detection and Quantitative Visualization Pipeline for Hemothorax on Admission Trauma CT  Mehrdad Salimitari, PhD, Postdoctoral Fellow, University of Maryland School of Medicine  Ankush Jindal, MD, MS; Uttam Bodanapally, MD; Lei Zhang, PhD; Wayne LaBelle; Guang Li, PhD; Bhavya Reddy; Ozerk Turan; Gabrielle Dickerson; Abigail Corkum; Melike Harfouche, MD; David…

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