Hoo-Chang Shin

40 papers A* 2A 1Journal 24Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dedicated Feedback and Edit Models Empower Inference-Time Scaling for Open-Ended General-Domain Tasks. CoRR Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Daniel Egert, Ellie Evans, Hoo-Chang Shin, Felipe Soares, Yi Dong, Oleksii Kuchaiev
2025	J	`jnl`	HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages. CoRR Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Hoo-Chang Shin, Felipe Soares, Alexander Bukharin, Ellie Evans, Yi Dong, Oleksii Kuchaiev
2025	—	`conf`	HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks. ACL (1) Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Daniel Egert, Ellie Evans, Hoo-Chang Shin, Felipe Soares, Yi Dong, Oleksii Kuchaiev
2025	J	`jnl`	RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards. CoRR Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Ellie Evans, Daniel Egert, Hoo-Chang Shin, Felipe Soares, Yi Dong, Oleksii Kuchaiev
2023	J	`jnl`	Chemical identification and indexing in full-text articles: an overview of the NLM-Chem track at BioCreative VII. Database J. Biol. Databases Curation 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
2021	J	`jnl`	Automatic Extraction of Medication Names in Tweets as Named Entity Recognition. CoRR Carol Anderson, Bo Liu, Anas Abidin, Hoo-Chang Shin, Virginia Adams
2021	J	`jnl`	Chemical Identification and Indexing in PubMed Articles via BERT and Text-to-Text Approaches. CoRR Virginia Adams, Hoo-Chang Shin, Carol Anderson, Bo Liu, Anas Abidin
2021	J	`jnl`	Text Mining Drug/Chemical-Protein Interactions using an Ensemble of BERT and T5 Based Models. CoRR Virginia Adams, Hoo-Chang Shin, Carol Anderson, Bo Liu, Anas Abidin
2020	—	`conf`	BioMegatron: Larger Biomedical Domain Language Model. EMNLP (1) Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina, Raul Puri, Mostofa Patwary, Mohammad Shoeybi, Raghav Mani
2020	J	`jnl`	BioMegatron: Larger Biomedical Domain Language Model. CoRR Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina, Raul Puri, Mostofa Patwary, Mohammad Shoeybi, Raghav Mani
2020	—	`conf`	Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. MIDL Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
2020	J	`jnl`	GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis. CoRR Hoo-Chang Shin, Alvin Ihsani, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative
2020	—	`conf`	GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer's Disease Diagnosis from MRI. MICCAI (2) Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha
2020	J	`jnl`	GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI. CoRR Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative
2019	J	`jnl`	Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. CoRR Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
2019	—	`conf`	Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. SASHIMI@MICCAI Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu
2018	J	`jnl`	Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 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
2018	—	`conf`	Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks. SASHIMI@MICCAI Hoo-Chang Shin, Neil A. Tenenholtz, Jameson K. Rogers, Christopher G. Schwarz, Matthew L. Senjem, Jeffrey L. Gunter, Katherine P. Andriole, Mark Michalski
2018	J	`jnl`	Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks. CoRR Hoo-Chang Shin, Neil A. Tenenholtz, Jameson K. Rogers, Christopher G. Schwarz, Matthew L. Senjem, Jeffrey L. Gunter, Katherine P. Andriole, Mark Michalski
2017	—	`ch.`	Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database. Deep Learning and Convolutional Neural Networks for Medical Image Computing Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers
2017	—	`ch.`	Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning. Deep Learning for Medical Image Analysis Hoo-Chang Shin, Le Lu, Ronald M. Summers
2017	—	`ch.`	Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
2017	A	`conf`	Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition. WACV Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers
2017	J	`jnl`	Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition. CoRR Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers
2016	J	`jnl`	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. CoRR Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
2016	J	`jnl`	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans. Medical Imaging Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
2016	J	`jnl`	Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. J. Mach. Learn. Res. Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers
2016	A*	`conf`	Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. CVPR Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers
2016	J	`jnl`	Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. CoRR Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers
2016	J	`jnl`	Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database. CoRR Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Isabella Nogues, Jianhua Yao, Ronald M. Summers
2015	—	`conf`	Anatomy-specific classification of medical images using deep convolutional nets. ISBI Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers
2015	J	`jnl`	Anatomy-specific classification of medical images using deep convolutional nets. CoRR Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers
2015	—	`conf`	DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. MICCAI (1) Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers
2015	J	`jnl`	DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. CoRR Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
2015	J	`jnl`	Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. CoRR Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers
2015	A*	`conf`	Interleaved text/image Deep Mining on a large-scale radiology database. CVPR Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers
2015	—	`conf`	Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. MICCAI (2) Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers
2015	J	`jnl`	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 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
2013	J	`jnl`	Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data. IEEE Trans. Pattern Anal. Mach. Intell. Hoo-Chang Shin, Matthew Orton, David J. Collins, Simon J. Doran, Martin O. Leach
2011	—	`conf`	Autoencoder in Time-Series Analysis for Unsupervised Tissues Characterisation in a Large Unlabelled Medical Image Dataset. ICMLA (1) Hoo-Chang Shin, Matthew Orton, David J. Collins, Simon J. Doran, Martin O. Leach