Ken Chang
Ken Chang
MD-PhD Candidate, Harvard-MIT Division of Health Sciences & Technology
Verified email at - Homepage
TitleCited byYear
Epidermal devices for noninvasive, precise, and continuous mapping of macrovascular and microvascular blood flow
RC Webb, Y Ma, S Krishnan, Y Li, S Yoon, X Guo, X Feng, Y Shi, M Seidel, ...
Science advances 1 (9), e1500701, 2015
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
Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas
B Zhang, K Chang, S Ramkissoon, S Tanguturi, WL Bi, DA Reardon, ...
Neuro-oncology 19 (1), 109-117, 2016
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
Residual convolutional neural network for the determination of IDH status in low-and high-grade gliomas from MR imaging
K Chang, HX Bai, H Zhou, C Su, WL Bi, E Agbodza, VK Kavouridis, ...
Clinical Cancer Research 24 (5), 1073-1081, 2018
Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab
K Chang, B Zhang, X Guo, M Zong, R Rahman, D Sanchez, N Winder, ...
Neuro-oncology 18 (12), 1680-1687, 2016
Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab
P Grossmann, V Narayan, K Chang, R Rahman, L Abrey, DA Reardon, ...
Neuro-oncology 19 (12), 1688-1697, 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, 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, 2018
Sequential neural networks for biologically-informed glioma segmentation
A Beers, K Chang, J Brown, E Gerstner, B Rosen, J Kalpathy-Cramer
Medical Imaging 2018: Image Processing 10574, 1057433, 2018
Intradimer/Intermolecular interactions suggest autoinhibition mechanism in endophilin A1
Z Chen, K Chang, BR Capraro, C Zhu, CJ Hsu, T Baumgart
Journal of the American Chemical Society 136 (12), 4557-4564, 2014
AnatomiCuts: Hierarchical clustering of tractography streamlines based on anatomical similarity
V Siless, K Chang, B Fischl, A Yendiki
NeuroImage, 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
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
Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low-and high-grade gliomas
H Zhou, K Chang, HX Bai, B Xiao, C Su, WL Bi, PJ Zhang, JT Senders, ...
Journal of neuro-oncology 142 (2), 299-307, 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
DeepNeuro: an open-source deep learning toolbox for neuroimaging
A Beers, J Brown, K Chang, K Hoebel, E Gerstner, B Rosen, ...
arXiv preprint arXiv:1808.04589, 2018
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
Rapid vs. delayed infrared responses after ischemia reveal recruitment of different vascular beds
K Chang, S Yoon, N Sheth, M Seidel, M Antalek, J Ahad, T Darlington, ...
Quantitative infrared thermography journal 12 (2), 173-183, 2015
Automatic assessment of glioma burden: A deep learning algorithm for fully automated volumetric and bi-dimensional measurement
K Chang, AL Beers, HX Bai, JM Brown, KI Ly, X Li, JT Senders, ...
Neuro-Oncology, 2019
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