3 papers
cs.CV2025
Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging
Arianna Bunnell, Devon Cataldi, Yannik Glaser +6
Total-body dual X-ray absorptiometry (TBDXA) imaging is a relatively low-cost whole-body imaging modality, widely used for body composition assessment. We develop and validate a de…
eess.IV2024
Artificial Intelligence-Informed Handheld Breast Ultrasound for Screening: A Systematic Review of Diagnostic Test Accuracy
Arianna Bunnell, Dustin Valdez, Fredrik Strand +3
Background. Breast cancer screening programs using mammography have led to significant mortality reduction in high-income countries. However, many low- and middle-income countries…
eess.IV2024
Deep Learning Predicts Mammographic Breast Density in Clinical Breast Ultrasound Images
Arianna Bunnell, Dustin Valdez, Thomas K. Wolfgruber +8
Background: Breast density, as derived from mammographic images and defined by the American College of Radiology's Breast Imaging Reporting and Data System (BI-RADS), is one of the…