Robust Prediction Of Treatment Times In Concurrent Patient Care. - Rafael B. Fricks; Henry Tseng; Marjorie Veihl; Kishor S. Trivedi; Roger C. Barr (EMBC, 2018)

Automatic phantom test pattern classification through transfer learning with deep neural networks. - Rafael B. Fricks; Justin Solomon 002; Ehsan Samei (CoRR, 2020)

Classification of COVID-19 in chest radiographs: assessing the impact of imaging parameters using clinical and simulated images. - Rafael B. Fricks; Ehsan Abadi; Francesco Ria; Ehsan Samei (Computer-Aided Diagnosis, 2021)

Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography. - Fakrul Islam Tushar; Ehsan Abadi; Saman Sotoudeh-Paima; Rafael B. Fricks; Maciej A. Mazurowski; William Paul Segars; Ehsan Samei; Joseph Y. Lo (Computer-Aided Diagnosis, 2022)

Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots. - Matthew Clark; Christopher Meyer; Jaime Ramos-Cejudo; Danne C. Elbers; Karen E. Pierce-Murray; Rafael Fricks; Gil Alterovitz; Luigi Rao; Mary T. Brophy; Nhan V. Do; Robert L. Grossman; Nathanael R. Fillmore (MedInfo, 2023)

Informing the ethical review of human subjects research utilizing artificial intelligence. - Christos A. Makridis; Anthony Boese; Rafael Fricks; Don E. Workman; Molly Klote; Joshua Mueller; Isabel J. Hildebrandt; Michael Kim; Gil Alterovitz (Frontiers Comput. Sci., 2023)