Bradley J Erickson
Bradley J Erickson
Professor of Radiology, Mayo Clinic
Patvirtintas el. paštas - Pagrindinis puslapis
Machine learning for medical imaging
BJ Erickson, P Korfiatis, Z Akkus, TL Kline
radiographics 37 (2), 505-515, 2017
Deep learning for brain MRI segmentation: state of the art and future directions
Z Akkus, A Galimzianova, A Hoogi, DL Rubin, BJ Erickson
Journal of digital imaging 30, 449-459, 2017
An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction
ZI Attia, PA Noseworthy, F Lopez-Jimenez, SJ Asirvatham, AJ Deshmukh, ...
The Lancet 394 (10201), 861-867, 2019
Association between pathological and MRI findings in multiple sclerosis
M Filippi, W Brück, D Chard, F Fazekas, JJG Geurts, C Enzinger, ...
The Lancet Neurology 18 (2), 198-210, 2019
Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials
BM Ellingson, M Bendszus, J Boxerman, D Barboriak, BJ Erickson, ...
Neuro-oncology 17 (9), 1188-1198, 2015
Imaging classification of autosomal dominant polycystic kidney disease: a simple model for selecting patients for clinical trials
MV Irazabal, LJ Rangel, EJ Bergstralh, SL Osborn, AJ Harmon, ...
Journal of the American Society of Nephrology 26 (1), 160-172, 2015
Clinical and radiographic spectrum of pathologically confirmed tumefactive multiple sclerosis
CF Lucchinetti, RH Gavrilova, I Metz, JE Parisi, BW Scheithauer, ...
Brain 131 (7), 1759-1775, 2008
Association of maximal extent of resection of contrast-enhanced and non–contrast-enhanced tumor with survival within molecular subgroups of patients with newly diagnosed …
AM Molinaro, S Hervey-Jumper, RA Morshed, J Young, SJ Han, ...
JAMA oncology 6 (4), 495-503, 2020
The RSNA pediatric bone age machine learning challenge
SS Halabi, LM Prevedello, J Kalpathy-Cramer, AB Mamonov, A Bilbily, ...
Radiology 290 (2), 498-503, 2019
Initial clinical experience in MR imaging of the brain with a fast fluid-attenuated inversion-recovery pulse sequence.
JN Rydberg, CA Hammond, RC Grimm, BJ Erickson, CR Jack Jr, ...
Radiology 193 (1), 173-180, 1994
The effects of changes in utilization and technological advancements of cross-sectional imaging on radiologist workload
RJ McDonald, KM Schwartz, LJ Eckel, FE Diehn, CH Hunt, BJ Bartholmai, ...
Academic radiology 22 (9), 1191-1198, 2015
A roadmap for foundational research on artificial intelligence in medical imaging: from the 2018 NIH/RSNA/ACR/The Academy Workshop
CP Langlotz, B Allen, BJ Erickson, J Kalpathy-Cramer, K Bigelow, ...
Radiology 291 (3), 781-791, 2019
Phase II trial of procarbazine, lomustine, and vincristine as initial therapy for patients with low-grade oligodendroglioma or oligoastrocytoma: efficacy and associations with …
JC Buckner, D Gesme Jr, JR O’Fallon, JE Hammack, S Stafford, ...
Journal of clinical oncology 21 (2), 251-255, 2003
Automated abdominal segmentation of CT scans for body composition analysis using deep learning
AD Weston, P Korfiatis, TL Kline, KA Philbrick, P Kostandy, T Sakinis, ...
Radiology 290 (3), 669-679, 2019
A survey of deep-learning applications in ultrasound: Artificial intelligence–powered ultrasound for improving clinical workflow
Z Akkus, J Cai, A Boonrod, A Zeinoddini, AD Weston, KA Philbrick, ...
Journal of the American College of Radiology 16 (9), 1318-1328, 2019
Predicting deletion of chromosomal arms 1p/19q in low-grade gliomas from MR images using machine intelligence
Z Akkus, I Ali, J Sedlář, JP Agrawal, IF Parney, C Giannini, BJ Erickson
Journal of digital imaging 30, 469-476, 2017
FLAIR histogram segmentation for measurement of leukoaraiosis volume
CR Jack Jr, PC O'Brien, DW Rettman, MM Shiung, Y Xu, R Muthupillai, ...
Journal of Magnetic Resonance Imaging: An Official Journal of the …, 2001
Beneficial plasma exchange response in central nervous system inflammatory demyelination
SM Magaña, BM Keegan, BG Weinshenker, BJ Erickson, SJ Pittock, ...
Archives of Neurology 68 (7), 870-878, 2011
Perivenous demyelination: association with clinically defined acute disseminated encephalomyelitis and comparison with pathologically confirmed multiple sclerosis
NP Young, BG Weinshenker, JE Parisi, B Scheithauer, C Giannini, ...
Brain 133 (2), 333-348, 2010
Toolkits and libraries for deep learning
BJ Erickson, P Korfiatis, Z Akkus, T Kline, K Philbrick
Journal of digital imaging 30, 400-405, 2017
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Straipsniai 1–20