papers
Publications (7)
cs.CV2018
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
Bruno Lecouat, Ken Chang, Chuan-Sheng Foo +7
cs.CV2017
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation
Andrew Beers, Ken Chang, James Brown +5
cs.CV2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab +421
cs.CV2018
Deep feature transfer between localization and segmentation tasks
Szu-Yeu Hu, Andrew Beers, Ken Chang +8
cs.CV2018
DeepNeuro: an open-source deep learning toolbox for neuroimaging
Andrew Beers, James Brown, Ken Chang +4
cs.CV2017
Institutionally Distributed Deep Learning Networks
Ken Chang, Niranjan Balachandar, Carson K Lam +6
cs.CV2018
High-resolution medical image synthesis using progressively grown generative adversarial networks
Andrew Beers, James Brown, Ken Chang +4