Scientific Abstract Presentations: Data Sets, Emerging Technologies & NLP Models


Attention-Based Weakly Supervised Deep Learning Model for Predicting the Progression of Barret's Esophagus to HGD/EAC using Pre-progression Whole Slide Images

  • Shahriar Faghani, MD, Postdoctoral Research Fellow, Mayo Clinic Rochester
  • Chamil Codipilly, MD; Mana Moassefi, MD; Bardia Khosravi, MD, MPH, MHPE; Pouria Rouzrokh, MD, MPH, MHPE; Bradley J. Erickson, MD, PhD, CIIP, FSIIM; Prasad Iyer, MD

ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax

  • Zachary Huemann, Graduate Student Researcher, University of Wisconsin-Madison
  • Xin Tie; Junjie Hu, PhD; Tyler J. Bradshaw, PhD

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023

  • Ahmed W. Moawad, MD, Radiology Resident, Mercy Catholic Medical Center
  • Anastasia Janas, MD, PhD; Nourel Tahoon, MD; Spyridon Bakas, PhD; Mariam S. Aboian, MD, PhD

Using An Open-source Language Model to Abstract the Presence of Acute Cervical Spine Fracture from Radiologic Reports: A HIPAA Compliant Alternative to "ChatGPT"

  • Bardia Khosravi, MD, MPH, MHPE, Postdoctoral Research Fellow, Mayo Clinic AI Lab
  • Sanaz Vahdati, MD; Pouria Rouzrokh, MD, MPH, MHPE; Shahriar Faghani, MD; Mana Moassefi, MD; Ali Ganjizadeh, MD; Bradley J. Erickson, MD, PhD, CIIP, FSIIM

Using Graph Representation Learning to Passively Learn Imaging Protocols

  • Dimitri Falco, PhD, AI Engineer, Quantivly
  • Robert MacDougall, MS; Benoit Scherrer, PhD

WESTERN-RLP: Augmenting Image-Caption Radiology Datasets using Image Embeddings Search of Large-Scale Natural Image Databases

  • Kartik Gupta, Medical Student, University of Western Ontario
  • David Li, MD; Jaron Chong, MD
SIIM CMIMI2023 logo


Sun, Oct 1


Turner Auditorium


2:45 – 4:15 PM ET

Continuing Education


Session Chair

Headshot of Nagy Paul

Paul G. Nagy, PhD, CIIP, FSIIM

Deputy Director, JHM Technology Innovation Center
Associate Professor, Johns Hopkins University School of Medicine
Conference Co-Chair