Deep learning achieves radiologist-level performance of tumor segmentation in breast MRI. - Lukas Hirsch; Yu Huang 014; Shaojun Luo; Carolina Rossi Saccarelli; Roberto Lo Gullo; Isaac Daimiel Naranjo; Almir Galvão Vieira Bitencourt; Natsuko Onishi; Eun Sook Ko; Dortis Leithner; Daly Avendano; Sarah Eskreis-Winkler; et al. (CoRR, 2020)

Automatic Forecasting of Radiology Examination Volume Trends for Optimal Resource Planning and Allocation. - Anton S. Becker; Joseph P. Erinjeri; Joshua Chaim; Nicholas Kastango; Pierre Elnajjar; Hedvig Hricak; Herbert Alberto Vargas (J. Digit. Imaging, 2022)

Automated full body tumor segmentation in DOTATATE PET/CT for neuroendocrine cancer patients. - Alice M. L. Santilli; Prashanth Panyam; Arthur Autz; Rick Wray; John Philip; Pierre Elnajjar; Nathaniel C. Swinburne; Marius Mayerhoefer (Int. J. Comput. Assist. Radiol. Surg., 2023)