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BioMegatron: Larger Biomedical Domain Language Model

Oct 14, 2020
Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina, Raul Puri, Mostofa Patwary, Mohammad Shoeybi, Raghav Mani

* Accepted for publication at EMNLP 2020 

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GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI

Aug 10, 2020
Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative

* Accepted for publication at the MICCAI 2020 conference 

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GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis

Aug 10, 2020
Hoo-Chang Shin, Alvin Ihsani, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative

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Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network

Jul 08, 2019
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu

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Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks

Sep 13, 2018
Hoo-Chang Shin, Neil A Tenenholtz, Jameson K Rogers, Christopher G Schwarz, Matthew L Senjem, Jeffrey L Gunter, Katherine Andriole, Mark Michalski

* Accepted for 2018 Workshop on Simulation and Synthesis in Medical Imaging - SASHIMI2018 

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

Mar 28, 2016
Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M Summers

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

Feb 10, 2016
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel Mollura, Ronald M. Summers

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DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation

Jun 22, 2015
Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim Turkbey, Ronald M. Summers

* To be presented at MICCAI 2015 - 18th International Conference on Medical Computing and Computer Assisted Interventions, Munich, Germany 

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Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation

May 04, 2015
Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers

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Anatomy-specific classification of medical images using deep convolutional nets

Apr 15, 2015
Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers

* Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on Year: 2015 Pages: 101 - 104 
* Presented at: 2015 IEEE International Symposium on Biomedical Imaging, April 16-19, 2015, New York Marriott at Brooklyn Bridge, NY, USA 

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