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James M. Brown
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
12782018
High-throughput discovery of novel developmental phenotypes
ME Dickinson, AM Flenniken, X Ji, L Teboul, MD Wong, JK White, ...
Nature 537 (7621), 508-514, 2016
8832016
Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks
JM Brown, JP Campbell, A Beers, K Chang, S Ostmo, RVP Chan, J Dy, ...
JAMA ophthalmology 136 (7), 803-810, 2018
405*2018
Distributed deep learning networks among institutions for medical imaging
K Chang, N Balachandar, C Lam, D Yi, J Brown, A Beers, B Rosen, ...
Journal of the American Medical Informatics Association 25 (8), 945-954, 2018
2472018
Disease model discovery from 3,328 gene knockouts by The International Mouse Phenotyping Consortium
TF Meehan, N Conte, DB West, JO Jacobsen, J Mason, J Warren, ...
Nature genetics 49 (8), 1231-1238, 2017
2032017
ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI
S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ...
Frontiers in neurology, 679, 2018
1322018
Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement
K Chang, AL Beers, HX Bai, JM Brown, KI Ly, X Li, JT Senders, ...
Neuro-oncology 21 (11), 1412-1422, 2019
1232019
Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity
TK Redd, JP Campbell, JM Brown, SJ Kim, S Ostmo, RVP Chan, J Dy, ...
British Journal of Ophthalmology 103 (5), 580-584, 2019
1012019
High-resolution medical image synthesis using progressively grown generative adversarial networks
A Beers, J Brown, K Chang, JP Campbell, S Ostmo, MF Chiang, ...
arXiv preprint arXiv:1805.03144, 2018
892018
Monitoring disease progression with a quantitative severity scale for retinopathy of prematurity using deep learning
S Taylor, JM Brown, K Gupta, JP Campbell, S Ostmo, RVP Chan, J Dy, ...
JAMA ophthalmology 137 (9), 1022-1028, 2019
722019
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging
MD Li, K Chang, B Bearce, CY Chang, AJ Huang, JP Campbell, ...
NPJ digital medicine 3 (1), 48, 2020
622020
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation
A Beers, K Chang, J Brown, E Sartor, CP Mammen, E Gerstner, B Rosen, ...
arXiv preprint arXiv:1709.02967, 2017
572017
A quantitative severity scale for retinopathy of prematurity using deep learning to monitor disease regression after treatment
K Gupta, JP Campbell, S Taylor, JM Brown, S Ostmo, RVP Chan, J Dy, ...
JAMA ophthalmology 137 (9), 1029-1036, 2019
522019
Automated fundus image quality assessment in retinopathy of prematurity using deep convolutional neural networks
AS Coyner, R Swan, JP Campbell, S Ostmo, JM Brown, ...
Ophthalmology Retina 3 (5), 444-450, 2019
482019
DeepNeuro: an open-source deep learning toolbox for neuroimaging
A Beers, J Brown, K Chang, K Hoebel, J Patel, KI Ly, SM Tolaney, ...
Neuroinformatics, 1-14, 2020
362020
Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with Rupture
MA Silva, J Patel, V Kavouridis, T Gallerani, A Beers, K Chang, KV Hoebel, ...
World neurosurgery 131, e46-e51, 2019
352019
Applications of artificial intelligence for retinopathy of prematurity screening
JP Campbell, P Singh, TK Redd, JM Brown, PK Shah, P Subramanian, ...
Pediatrics 147 (3), 2021
342021
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
B Lecouat, K Chang, CS Foo, B Unnikrishnan, JM Brown, H Zenati, ...
arXiv preprint arXiv:1812.07832, 2018
332018
Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning
JM Brown, JP Campbell, A Beers, K Chang, K Donohue, S Ostmo, ...
Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018
312018
Radiomics repeatability pitfalls in a scan-rescan MRI study of glioblastoma
KV Hoebel, JB Patel, AL Beers, K Chang, P Singh, JM Brown, MC Pinho, ...
Radiology: Artificial Intelligence 3 (1), e190199, 2020
302020
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