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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
    • Vendor Prospectus
    • Exhibitor Resources
    • Suitcase Marketing Policy
  • Register
Jeremy Minkowitz, DO attending the SIIM Annual Meeting 2023, showcasing medical imaging expertise.
Event Speaker

Jeremy Minkowitz, DO

Leidos Computational Pathology Fellow
University of Pittsburgh

Dr. Jeremy Minkowitz is a pathologist who has earned his degree from the NYIT College of Osteopathic Medicine and completed his residency training at SUNY Downstate Health Sciences University. Dr. Minkowitz subsequently pursued a Cytopathology Fellowship at UPMC. He is further advancing his expertise as the Leidos Computational Pathology Fellow at the University of Pittsburgh. His research which includes both developing and validating software frequently explores the intersection of artificial intelligence and pathology with numerous publications on AI chatbots and automated classification systems. Previously, he served as a certified healthcare compliance officer and COVID-19 diagnostics consultant.

Sessions

Scientific Research & Applied Informatics Posters and Demonstrations Roving Tours

Presented by Vedant Malik, Ritesh Patel, MD, Amirali Khosravi, Irene Lee, MD, Satvik Tripathi, Benjamin Rush, PhD, MPH, Natally AlArab, MD, MSc, Emre Alyamac, Jonah Belback, Intelligent Systems Master’s Student, Rakesh Sharma, Qian Cao, PhD, Skylar Chan, BS, Sharjeel Chaudhry, BDS, MPhil, Mohammadreza Chavoshi, MD, Weijie Chen, PhD, Adam Dachowicz, PhD, Ketan Dayma, MD, Ameena Elahi, MPA, RT(R), CIIP, Mark Finkelstein, MD, Razieh Ganjee, PhD, Hao Gong, PhD, Melissa Davis, MD, Zenas Huang, MSc., Basem Jaber, MD, Mark Jones, N/A, Peter Kamel, MD, Maziar Khateri, PhD, Theo Dapamede, MD, PhD, Jason Klug, PhD, Alexander Kuehne, MD, Gabriel Lau, BA, Priyadarshini Mamindla, MS, Evan Masutani, MD, PhD, Govind Mattay, MD, MBA, Jeremy Minkowitz, DO, Sergey Morozov, MD, PhD, MPH, CIIP, Paul Murphy, MD PhD, Ammar Ahmed Pallikonda Latheef, MSE, Michael Passarella, Samira Raminfard, PhD, Berkman Sahiner, PhD, Ronnie Sebro, MD, PhD, Sohan Shah, BS, Dvij Sharma, BS, Tubo Shi, MBChB, FRANZCR, Kailash Singh, BS, Yasna Soto, Kyle Tegtmeyer, MD, William Tepe,, Vidya Sankar Viswanathan, MBBS, Vidith Phillips, MD, MS, Aawez Mansuri, MS, Biniam Garomsa, Aadhi Aadhavan Balasubramanian, MS, Orhan Unal, PhD, Ismael Villanueva Miranda, PhD, Eric Richmond, CIIP, Shahriar Faghani, MD, Aaron Li, MD, Neil Lall, MD in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 11, 2026 | 3:00 PM.

A Systematic Evaluation of Image Preprocessing in Deep Learning Detection and Segmentation of Intracranial Metastatic Disease Peter Kamel, MD, Assistant Professor, MD Anderson Cancer Center Ahmed Naeem, MD; Komal Shah, MD; Max Wintermark, MD, MS, MBA Accuracy and Performance of an Incidental Breast Lesion Detection Tool on a Cohort of 18000 Consecutive Chest CT Exams…

Scientific Research & Applied Informatics Posters and Demonstrations Roving Tours

Presented by Vedant Malik, Ritesh Patel, MD, Amirali Khosravi, Irene Lee, MD, Satvik Tripathi, Benjamin Rush, PhD, MPH, Natally AlArab, MD, MSc, Emre Alyamac, Jonah Belback, Intelligent Systems Master’s Student, Rakesh Sharma, Qian Cao, PhD, Skylar Chan, BS, Sharjeel Chaudhry, BDS, MPhil, Mohammadreza Chavoshi, MD, Weijie Chen, PhD, Adam Dachowicz, PhD, Ketan Dayma, MD, Ameena Elahi, MPA, RT(R), CIIP, Mark Finkelstein, MD, Razieh Ganjee, PhD, Hao Gong, PhD, Melissa Davis, MD, Zenas Huang, MSc., Basem Jaber, MD, Mark Jones, N/A, Peter Kamel, MD, Maziar Khateri, PhD, Theo Dapamede, MD, PhD, Jason Klug, PhD, Alexander Kuehne, MD, Gabriel Lau, BA, Priyadarshini Mamindla, MS, Evan Masutani, MD, PhD, Govind Mattay, MD, MBA, Jeremy Minkowitz, DO, Sergey Morozov, MD, PhD, MPH, CIIP, Paul Murphy, MD PhD, Ammar Ahmed Pallikonda Latheef, MSE, Michael Passarella, Samira Raminfard, PhD, Berkman Sahiner, PhD, Ronnie Sebro, MD, PhD, Sohan Shah, BS, Dvij Sharma, BS, Tubo Shi, MBChB, FRANZCR, Kailash Singh, BS, Yasna Soto, Kyle Tegtmeyer, MD, William Tepe,, Vidya Sankar Viswanathan, MBBS, Vidith Phillips, MD, MS, Aawez Mansuri, MS, Biniam Garomsa, Aadhi Aadhavan Balasubramanian, MS, Orhan Unal, PhD, Ismael Villanueva Miranda, PhD, Eric Richmond, CIIP, Shahriar Faghani, MD, Aaron Li, MD, Neil Lall, MD in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 12, 2026 | 10:30 AM.

A Systematic Evaluation of Image Preprocessing in Deep Learning Detection and Segmentation of Intracranial Metastatic Disease Peter Kamel, MD, Assistant Professor, MD Anderson Cancer Center Ahmed Naeem, MD; Komal Shah, MD; Max Wintermark, MD, MS, MBA Accuracy and Performance of an Incidental Breast Lesion Detection Tool on a Cohort of 18000 Consecutive Chest CT Exams…

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