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Hounsfield Award

Hounsfield Award
Abou Elkassem
University of Alabama Hospitals
Comparative Effectiveness of AI-assisted vs. Standard of Care Methods in Advanced Cancer Longitudinal Response Evaluation in a Multi-Institutional Study

​Lauterbur Award

​Lauterbur Award
Jitka Starekova
University of Wisconsin Health
Nephrogenic Systemic Fibrosis in Patients with Impaired Renal Function exposed to Gadoxetic Acid

Resoundant Innovation Award

Resoundant Innovation Award
Sherif Elsherif
University of Florida
Automated Body Composition Analysis from Abdominal Computed Tomography Scans using Deep Learning Diagnostic performance of PET/MRI compared with PET/CT for gynecological malignancies

Young Investigator Award

Young Investigator Award
Elka Rubin
Stanford University School of Medicine
The Differing Effects of the Competitive Season and Off-Season on Knee Articular Cartilage in Collegiate Basketball Players using Quantitative MRI

Moncada Award

Moncada Award
Arjun Desai
Stanford University School of Medicine
Automated Body Composition Analysis from Abdominal Computed Tomography Scans using Deep Learning

 

Three Pearls

Three Pearls
Jigarkumar Rangunwala
University of Mississippi Medical Center
Problem-solving Role of MRI in Evaluation of Splenic Abnormalities

Hyunjoong Kim
New York-Presbyterian
Gynecologic Imaging With Serum Biomarker Correlates

Emily Rutan
Georgetown University
The Hepatic Arterial Buffer Response

Posters

Posters
Stephen Cai
University of Pittsburgh
Novel MR-based Deep Learning Algorithm for Assessment of Liver Fibrosis in Patients with Non-Alcoholic Fatty Liver Disease

Huy Michael Do
National Institutes of Health
Deep Learning Detection and Classification of Interstitial Lung Disease Patterns

Neema Patel
Mayo Clinic FloridaMayo Clinic Florida
What you need to know about Liver Transplantation: The Good, The Bad, and The Ugly

 

More Science Sessions

More Science Sesssions
Christin Park
University School of Medicine
Ultra-low-dose FDG PET/MR Enterography with Deep-Learning Image Reconstruction

Huy Michael Do
National Institutes of Health
Public availability of 3D print build files during a time of crisis for a patented radiology device that quantifies upright angles in portable chest x-rays

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