James M. Brown
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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
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
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
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
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
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 9, 679, 2018
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
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
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
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
A mouse informatics platform for phenotypic and translational discovery
N Ring, TF Meehan, A Blake, J Brown, CK Chen, N Conte, A Di Fenza, ...
Mammalian Genome 26 (9-10), 413-421, 2015
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
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
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
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
Classification and comparison via neural networks
İ Yıldız, P Tian, J Dy, D Erdoğmuş, J Brown, J Kalpathy-Cramer, S Ostmo, ...
Neural Networks 118, 65-80, 2019
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
Detection and characterisation of bone destruction in murine rheumatoid arthritis using statistical shape models
JM Brown, E Ross, G Desanti, A Saghir, A Clark, C Buckley, A Filer, ...
Medical image analysis 40, 30-43, 2017
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
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity
M Graziani, JM Brown, V Andrearczyk, V Yildiz, JP Campbell, ...
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 109501R, 2019
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