Hoo-Chang Shin

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Hoo-Chang Shin, Holger R. Roth, Mingchen Gao et al. · IEEE Transactions on Medical Imaging · 2016 · 5.8K citations · Full text

Computing, Computer Science, Biomedical Imaging +16

Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data

Hoo-Chang Shin, Matthew Orton, David J. Collins et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2012 · 496 citations

Computing, Computer Science, Radiology +17

Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation

Hoo-Chang Shin, Kirk Roberts, Le Lü et al. · 2016 · 356 citations

Computing, Computer Science, Radiology +17

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks

Mingchen Gao, Le Lü, Aaron Wu et al. · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization · 2016 · 263 citations · Full text

Medicine, Computer Science, Radiology +17

Anatomy-specific classification of medical images using deep convolutional nets

Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin et al. · 2015 · 182 citations · Full text

Computing, Anatomy, Computer Science +15