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Brianna L. Vey
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Journal Articles
- 2023
- [j4]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:
Imaging Informatics Fellowship Curriculum: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship. J. Digit. Imaging 36(1): 1-10 (2023) - [j3]Imon Banerjee, Melissa A. Davis, Brianna L. Vey, Sina Mazaheri, Fiza Khan, Vaz Zavaletta, Roger Gerard, Judy Wawira Gichoya, Bhavik N. Patel:
Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study. J. Digit. Imaging 36(1): 105-113 (2023) - 2020
- [j2]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:
Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration. J. Digit. Imaging 33(2): 547-553 (2020) - 2019
- [j1]Brianna L. Vey, Tessa Sundaram Cook, Paul G. Nagy, Richard J. Bruce, Ross W. Filice, Kenneth C. Wang, Nabile M. Safdar:
A Survey of Imaging Informatics Fellowships and Their Curricula: Current State Assessment. J. Digit. Imaging 32(1): 91-96 (2019)
Conference and Workshop Papers
- 2023
- [c1]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, Carlo Nicola De Cecco, Ali Adibi:
Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational dataset. Medical Imaging: Computer-Aided Diagnosis 2023
Informal and Other Publications
- 2022
- [i1]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, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi:
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms. CoRR abs/2202.04073 (2022)
Coauthor Index
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