Conference on Artificial Intelligence in Medical Imaging

Anatomy-Aware ROI Input Outperforms In-Domain Self-Supervised Pretraining for MRI-Based Adenomyosis Classification (opens in new tab)

• Delaram Ghadimi, MD, Mayo Clinic 
• Amirali Khosravi, MD; Tubo Shi, MB, ChB; Ivana Isgum, PhD; Bradley J. Erickson, MD, PhD, CIIP, FSIIM; Wendaline VanBuren, MD 

 

Impact of AI-Based Triage on Downstream Clinical Communication and Emergency Department Disposition (opens in new tab)

• Ai Phuong Tong, MD, PhD, University of Washington 
• Gunvant Chaudhari, MD, Domenico Mastrodicasa, MD; Charles Watt, MS; Zachary Miller, MD; Yee Seng Ng, MD; Sarabjeet Singh, MBBS, MBA; Jonathan Medverd, MD; Dushyant Sahani, MD; Todd Burstain; Nathan Cross MD, MS, CIIP 

 

Open-Source Artificial Intelligence Orchestration for Dual Pediatric Imaging Pipelines: Design, Deployment and Five-Month Operational Experience(opens in new tab) 

• Amol Sinha, MS, Stanford Medicine Children's Health 
• Arogya Koirala, MS; Timothy Mak, MS; Ryan Bollier, EMBA; Edwin Leon; Linn Dee Doyle; Sergios Gatidis, MD; Shreyas Vasanawala, MD, PhD 

 

Uncertainty-Aware Triaging for Pediatric Bone Age Assessment(opens in new tab) 

• Bryan Luna, Cincinnati Children's Hospital Medical Center 
• Elanchezhian Somasundaram, PhD; Will Tepe; Rama Ayyala, MD; Jonathan Dillman, MD 

 

Zero-Shot Series-Level MRI Artifact Localization Using Pretrained Foundation Model Embeddings and Weak Study-Level Supervision (opens in new tab)

• Dvij Sharma, MS, University of Wisconsin – Madison 
• Xue Li, PhD; Carl Kashuk, MS; Tracy He; Hugh Pemberton, PhD; Erhan Bas, PhD; Krisztian Koos, PhD; Dattesh Shanbhag, PhD; Noel Dsouza, MS; Pranay Doshi, MS; Iman Estakhraji, PhD; Marc Label, PhD; Orhan Unal, PhD; Richard Bruce, MD; Alan McMillan, PhD; John Garrett, PhD