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Hoo-Chang Shin
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2020 – today
- 2023
- [j6]Robert Leaman, Rezarta Islamaj, Virginia Adams, Mohammed Alliheedi, João Rafael Almeida, Rui Antunes, Robert Bevan, Yung-Chun Chang, Arslan Erdengasileng, Matthew Hodgskiss, Ryuki Ida, Hyunjae Kim, Keqiao Li, Robert E. Mercer, Lukrécia Mertová, Ghadeer Mobasher, Hoo-Chang Shin, Mujeen Sung, Tomoki Tsujimura, Wen-Chao Yeh, Zhiyong Lu:
Chemical identification and indexing in full-text articles: an overview of the NLM-Chem track at BioCreative VII. Database J. Biol. Databases Curation 2023 (2023) - 2021
- [i15]Virginia Adams, Hoo-Chang Shin, Carol Anderson, Bo Liu, Anas Abidin:
Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models. CoRR abs/2111.15617 (2021) - [i14]Virginia Adams, Hoo-Chang Shin, Carol Anderson, Bo Liu, Anas Abidin:
Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches. CoRR abs/2111.15622 (2021) - [i13]Carol Anderson, Bo Liu, Anas Abidin, Hoo-Chang Shin, Virginia Adams:
Automatic Extraction of Medication Names in Tweets as Named Entity Recognition. CoRR abs/2111.15641 (2021) - 2020
- [c12]Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina, Raul Puri, Mostofa Patwary, Mohammad Shoeybi, Raghav Mani:
BioMegatron: Larger Biomedical Domain Language Model. EMNLP (1) 2020: 4700-4706 - [c11]Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha:
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer's Disease Diagnosis from MRI. MICCAI (2) 2020: 688-697 - [c10]Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu:
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. MIDL 2020: 857-866 - [i12]Hoo-Chang Shin, Alvin Ihsani, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative:
GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis. CoRR abs/2008.04393 (2020) - [i11]Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative:
GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI. CoRR abs/2008.04396 (2020) - [i10]Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina, Raul Puri, Mostofa Patwary, Mohammad Shoeybi, Raghav Mani:
BioMegatron: Larger Biomedical Domain Language Model. CoRR abs/2010.06060 (2020)
2010 – 2019
- 2019
- [c9]Ziyue Xu, Xiaosong Wang
, Hoo-Chang Shin, Holger Roth
, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu:
Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. SASHIMI@MICCAI 2019: 62-70 - [i9]Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu:
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. CoRR abs/1907.03728 (2019) - 2018
- [j5]Mingchen Gao, Ulas Bagci
, Le Lu
, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth
, Georgios Z. Papadakis, Adrien Depeursinge
, Ronald M. Summers, Ziyue Xu
, Daniel J. Mollura:
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(1): 1-6 (2018) - [c8]Hoo-Chang Shin, Neil A. Tenenholtz, Jameson K. Rogers, Christopher G. Schwarz, Matthew L. Senjem
, Jeffrey L. Gunter, Katherine P. Andriole, Mark Michalski:
Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks. SASHIMI@MICCAI 2018: 1-11 - [i8]Hoo-Chang Shin, Neil A. Tenenholtz, Jameson K. Rogers, Christopher G. Schwarz, Matthew L. Senjem, Jeffrey L. Gunter, Katherine P. Andriole, Mark Michalski:
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks. CoRR abs/1807.10225 (2018) - 2017
- [c7]Xiaosong Wang
, Le Lu
, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao
, Ronald M. Summers:
Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition. WACV 2017: 998-1007 - [p3]Hoo-Chang Shin, Le Lu
, Ronald M. Summers:
Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning. Deep Learning for Medical Image Analysis 2017: 405-421 - [p2]Hoo-Chang Shin, Holger R. Roth
, Mingchen Gao, Le Lu
, Ziyue Xu
, Isabella Nogues, Jianhua Yao
, Daniel J. Mollura, Ronald M. Summers:
Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 113-136 - [p1]Hoo-Chang Shin, Le Lu
, Lauren Kim, Ari Seff, Jianhua Yao
, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 305-321 - [i7]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition. CoRR abs/1701.06599 (2017) - 2016
- [j4]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. J. Mach. Learn. Res. 17: 107:1-107:31 (2016) - [j3]Hoo-Chang Shin, Holger R. Roth
, Mingchen Gao, Le Lu
, Ziyue Xu
, Isabella Nogues, Jianhua Yao
, Daniel J. Mollura, Ronald M. Summers:
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans. Medical Imaging 35(5): 1285-1298 (2016) - [c6]Hoo-Chang Shin, Kirk Roberts, Le Lu
, Dina Demner-Fushman, Jianhua Yao
, Ronald M. Summers:
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. CVPR 2016: 2497-2506 - [i6]Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers:
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. CoRR abs/1602.03409 (2016) - [i5]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database. CoRR abs/1603.07965 (2016) - [i4]Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers:
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. CoRR abs/1603.08486 (2016) - 2015
- [j2]Bjoern H. Menze
, András Jakab
, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby
, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants
, Nicholas Ayache, Patricia Buendia
, D. Louis Collins
, Nicolas Cordier
, Jason J. Corso
, Antonio Criminisi, Tilak Das
, Herve Delingette
, Çagatay Demiralp, Christopher R. Durst
, Michel Dojat
, Senan Doyle, Joana Festa
, Florence Forbes, Ezequiel Geremia, Ben Glocker
, Polina Golland, Xiaotao Guo, Andac Hamamci
, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira
, Doina Precup, Stephen J. Price
, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva
, Nuno J. Sousa
, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas
, Nicholas J. Tustison
, Gözde B. Ünal
, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao
, Binsheng Zhao, Darko Zikic, Marcel Prastawa
, Mauricio Reyes, Koen Van Leemput
:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c5]Hoo-Chang Shin, Le Lu
, Lauren Kim, Ari Seff, Jianhua Yao
, Ronald M. Summers:
Interleaved text/image Deep Mining on a large-scale radiology database. CVPR 2015: 1090-1099 - [c4]Holger R. Roth
, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao
, Le Lu
, Ronald M. Summers:
Anatomy-specific classification of medical images using deep convolutional nets. ISBI 2015: 101-104 - [c3]Ari Seff, Le Lu
, Adrian Barbu, Holger Roth
, Hoo-Chang Shin, Ronald M. Summers:
Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. MICCAI (2) 2015: 53-61 - [c2]Holger R. Roth
, Le Lu
, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers:
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. MICCAI (1) 2015: 556-564 - [i3]Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers:
Anatomy-specific classification of medical images using deep convolutional nets. CoRR abs/1504.04003 (2015) - [i2]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. CoRR abs/1505.00670 (2015) - [i1]Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim Turkbey, Ronald M. Summers:
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. CoRR abs/1506.06448 (2015) - 2013
- [j1]Hoo-Chang Shin, Matthew Orton, David J. Collins
, Simon J. Doran, Martin O. Leach
:
Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1930-1943 (2013) - 2011
- [c1]Hoo-Chang Shin, Matthew Orton, David J. Collins, Simon J. Doran, Martin O. Leach:
Autoencoder in Time-Series Analysis for Unsupervised Tissues Characterisation in a Large Unlabelled Medical Image Dataset. ICMLA (1) 2011: 259-264
Coauthor Index
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