Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images. - Duc Fehr; Harini Veeraraghavan; Andreas Wibmer; Tatsuo Gondo; Kazuhiro Matsumoto; Herbert Alberto Vargas; Evis Sala; Hedvig Hricak; Joseph O. Deasy (Proc. Natl. Acad. Sci. USA, 2015)

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)

Interactive, Up-to-date Meta-Analysis of MRI in the Management of Men with Suspected Prostate Cancer. - Anton S. Becker; Julian Kirchner; Thomas Sartoretti; Soleen Ghafoor; Sungmin Woo; Chong Hyun Suh; Joseph P. Erinjeri; Hedvig Hricak; Herbert Alberto Vargas (J. Digit. Imaging, 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)