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Bradley J. Erickson

Mayo Clinic US

ORCID iD 0000-0001-7926-6095
424
Publications
17,610
Citations
61
H-Index
201
i10-Index
4.99
2yr Mean Cite
-
Cite/Paper
Data combined from OpenAlex . OA = OpenAlex S2 = Semantic Scholar
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Publication & Citation Trends

Publications

424 total

Magician’s Corner: 9. Performance Metrics for Machine Learning Models PDF

Bradley J. Erickson, Felipe Kitamura - Radiology Artificial Intelligence, 2021
Cited by 275 OpenAlex

Association of Maximal Extent of Resection of Contrast-Enhanced and Non–Contrast-Enhanced Tumor With Survival Within Molecular Subgroups of Patients With Newly Diagnosed Glioblastoma PDF

Annette M. Molinaro, Shawn L. Hervey‐Jumper, Ramin A. Morshed, Jacob S. Young, Seunggu J. Han et al. - JAMA Oncology, 2020
Cited by 629 OpenAlex

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop PDF

Curtis P. Langlotz, Bibb Allen, Bradley J. Erickson, Jayashree Kalpathy–Cramer, Keith Bigelow et al. - Radiology, 2019
Cited by 357 OpenAlex

A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence–Powered Ultrasound for Improving Clinical Workflow

Zeynettin Akkus, Jason Cai, Arunnit Boonrod, Atefeh Zeinoddini, Alexander D. Weston et al. - Journal of the American College of Radiology, 2019
Cited by 314 OpenAlex

The RSNA Pediatric Bone Age Machine Learning Challenge PDF

Safwan S. Halabi, Luciano M. Prevedello, Jayashree Kalpathy–Cramer, Artem B. Mamonov, Alexander Bilbily et al. - Radiology, 2018
Cited by 451 OpenAlex

Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning

Alexander D. Weston, Panagiotis Korfiatis, Timothy L. Kline, Kenneth A. Philbrick, Petro Kostandy et al. - Radiology, 2018
Cited by 340 OpenAlex

Machine Learning for Medical Imaging

Bradley J. Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy L. Kline - Radiographics, 2017
Cited by 1,607 OpenAlex

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions PDF

Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, Daniel L. Rubin, Bradley J. Erickson - Journal of Digital Imaging, 2017
Cited by 1,099 OpenAlex

Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials PDF

Benjamin M. Ellingson, Martin Bendszus, Jerrold L. Boxerman, Daniel P. Barboriak, Bradley J. Erickson et al. - Neuro-Oncology, 2015
Cited by 658 OpenAlex

The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload

Robert J. McDonald, Kara M. Schwartz, Laurence J. Eckel, Felix E. Diehn, Christopher H. Hunt et al. - Academic Radiology, 2015
Cited by 440 OpenAlex

Research Topics

Radiomics and Machine Learning in Medical Imaging (113) AI in cancer detection (50) Glioma Diagnosis and Treatment (48) Artificial Intelligence in Healthcare and Education (44) Medical Imaging Techniques and Applications (42)

Affiliations

University of Minnesota
US 2016 - 2000
Mayo Clinic
US 2026 - 1986
Emory University
US 2026 - 2012
Vita-Salute San Raffaele University
IT 2018 - 2018
University of California, Los Angeles
US 2015 - 2015

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