A Survey of Imaging Informatics Fellowships and Their Curricula: Current State Assessment. - Brianna L. Vey; Tessa Sundaram Cook; Paul G. Nagy; Richard J. Bruce; Ross W. Filice; Kenneth C. Wang; Nabile M. Safdar (J. Digit. Imaging, 2019)

Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration. - Valeria Makeeva; Brianna L. Vey; Tessa Sundaram Cook; Paul G. Nagy; Ross W. Filice; Kenneth C. Wang; Patricia C. Balthazar; Peter Harri; Nabile M. Safdar (J. Digit. Imaging, 2020)

The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms. - Jiwoong Jason Jeong; Brianna L. Vey; Ananth Reddy Bhimireddy; Thomas Kim; Thiago Santos; Ramon Correa; Raman Dutt; Marina Mosunjac; Gabriela Oprea-Ilies; Geoffrey H. Smith; Minjae Woo; Christopher R. McAdams; et al. (CoRR, 2022)

Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational dataset. - Mohammadreza Zandehshahvar; Marly van Assen; Eun Young Kim; Yashar Kiarashi; Vikranth Keerthipati; Arthur E. Stillman; Peter Filev; Amir H. Davarpanah; Eugene A. Berkowitz; Stefan Tigges; Scott J. Lee; Brianna L. Vey; et al. (Computer-Aided Diagnosis, 2023)

Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study. - Imon Banerjee; Melissa A. Davis; Brianna L. Vey; Sina Mazaheri; Fiza Khan; Vaz Zavaletta; Roger Gerard; Judy Wawira Gichoya; Bhavik N. Patel (J. Digit. Imaging, 2023)

Imaging Informatics Fellowship Curriculum: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship. - Roger Gerard; Valeria Makeeva; Brianna L. Vey; Tessa Sundaram Cook; Paul G. Nagy; Ross W. Filice; Kenneth C. Wang; Patricia C. Balthazar; Peter Harri; Nabile M. Safdar (J. Digit. Imaging, 2023)