Ken Chang
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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
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
AI augmentation of radiologist performance in distinguishing COVID-19 from pneumonia of other etiology on chest CT
HX Bai, R Wang, Z Xiong, B Hsieh, K Chang, K Halsey, TML Tran, ...
Radiology, 2020
Residual Convolutional Neural Network for the Determination of IDH Status in Low-and High-Grade Gliomas from MR ImagingNeural Network for Determination of IDH Status in Gliomas
K Chang, HX Bai, H Zhou, C Su, WL Bi, E Agbodza, VK Kavouridis, ...
Clinical Cancer Research 24 (5), 1073-1081, 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
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
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
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
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks
MD Li, NT Arun, M Gidwani, K Chang, F Deng, BP Little, DP Mendoza, ...
Radiology: Artificial Intelligence 2 (4), e200079, 2020
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
Assessing the trustworthiness of saliency maps for localizing abnormalities in medical imaging
N Arun, N Gaw, P Singh, K Chang, M Aggarwal, B Chen, K Hoebel, ...
Radiology: Artificial Intelligence 3 (6), 2021
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
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
Federated Learning for Breast Density Classification: A Real-World Implementation
HR Roth, K Chang, P Singh, N Neumark, W Li, V Gupta, S Gupta, L Qu, ...
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
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
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
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
AnatomiCuts: Hierarchical clustering of tractography streamlines based on anatomical similarity
V Siless, K Chang, B Fischl, A Yendiki
NeuroImage, 2017
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), 1-9, 2020
Split Learning for collaborative deep learning in healthcare
MG Poirot, P Vepakomma, K Chang, J Kalpathy-Cramer, R Gupta, ...
arXiv preprint arXiv:1912.12115, 2019
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