Event Speaker

Nazanin Maleki, MD

Research Fellow

Radiology, The Children's Hospital of Philadelphia

Nazanin Maleki is a research fellow at CHOP, playing a leading role in the BraTS-METS MICCAI Lighthouse Challenge 2025, where she is helping establish a novel approach to ground truth for brain metastases segmentation algorithms. She also spearheads a translational project focused on the early detection of cognitive decline in brain tumor patients following radiation therapy. Through her work, she aims to bridge the gap between advanced imaging techniques and clinical applications, driving innovation in neuro-oncology. Her research contributes to improving patient outcomes by enhancing diagnostic precision and fostering the development of more effective treatment strategies.

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…

Clinical Implementation Applied Informatics Abstracts

Presented by Paulo E. Kuriki, MD, Nazanin Maleki, MD, Adam Flanders, MD, CIIP, FSIIM, Anagha Tirumalai Ramaswamy, MD, Othria Ahmed, MD May 23, 2025 | 7:30 AMRoom A105

Predicting Cholecystectomy Complexity Using Large Language Models: Enhancing Preoperative Decision-Making with AI Anagha Tirumalai Ramaswamy, MD, Resident, General Surgery, Bangalore Medical College and Research Institute Mir Noor Hassan, MD, RADAR (Real-time AI Data Assessment and Reporting): A Solution for Automated Monitoring of Commercial AI Model Performance Built with “Off-the-Shelf” Components Adam Flanders, MD, CIIP,…

Productivity and Workflow Applied Informatics Abstracts

Presented by Nazanin Maleki, MD, Hyuk Jin Yun, PhD, Katie Hulme, MS, Julie An, MD, Ricky R. Savjani, MD, PhD May 23, 2025 | 1:00 PMRoom A105

A Robust and Reliable Processing Pipeline on the Cluster for Quantitative Pediatric Neuroimaging Hyuk Jin Yun, PhD, Research Scientist, Radiology, Children's Mercy Hospital Matthew Genchev; Colin Dietz; Sarah Foster; Maura Sien; Sherwin Chan, MD, PhD; Avner Meoded, MD   Display or Dismay? Initial Experience in Deploying 52 Workstations with Consumer-grade Displays for Remote Diagnostic Workstations …

Streamlined Workflows: Enhancing Daily Radiology Practice Scientific Research Abstracts

Presented by Nazanin Maleki, MD, Andrew D. Missert, PhD, Satvik Tripathi, Kay Wu, MD, MS, BSc, Aawez Mansuri, MS, Adam Flanders, MD, CIIP, FSIIM May 21, 2025 | 5:15 PMRoom A105

Automating Linear Measurements of the Distal Ascending Aorta in CT Angiograms Using AI-based Heatmap Regression to Identify Oblique Planes Andrew D. Missert, PhD, AI Scientist and Assistant Professor of Radiology, Mayo Clinic Adam Dachowicz, PhD; Jason Klug, PhD; William Ryan; Gian Marco Conte, MD, PhD; Wolfgang Holler; MingDe Lin, PhD; Alex Bratt, MD  Automating…