3 papers
cs.CV2025
Pillar-0: A New Frontier for Radiology Foundation Models
Kumar Krishna Agrawal, Longchao Liu, Long Lian +11
Radiology plays an integral role in modern medicine, yet rising imaging volumes have far outpaced workforce growth. Foundation models offer a path toward assisting with the full sp…
eess.IV2024
Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT Images
Michelle Espranita Liman, Daniel Rueckert, Florian J. Fintelmann +1
Field-of-view (FOV) recovery of truncated chest CT scans is crucial for accurate body composition analysis, which involves quantifying skeletal muscle and subcutaneous adipose tiss…
cs.CV2018
Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks
Christopher P. Bridge, Michael Rosenthal, Bradley Wright +15
The amounts of muscle and fat in a person's body, known as body composition, are correlated with cancer risks, cancer survival, and cardiovascular risk. The current gold standard f…