default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHoo-Chang Shin
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
