David Shin

According to our database, David Shin authored at least 13 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A computational model of facilitation in online dispute resolution.

Karl Branting, Sarah McLeod, Sarah Howell, Brandy Weiss, Brett Profitt, James Tanner, Ian Gross, David Shin

Artif. Intell. Law, September, 2023

2022

Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks.

Ramy Hussein, David Shin, Moss Y. Zhao, Jia Guo, Guido A. Davidzon, Michael E. Moseley, Greg Zaharchuk

CoRR, 2022

Quality assessment of machine learning models for diagnostic imaging in orthopaedics: A systematic review.

Amanda Lans, Robertus J. B. Pierik, John R. Bales, Mitchell S. Fourman, David Shin, Laura N. Kanbier, Jack Rifkin, William H. DiGiovanni, Rohan R. Chopra, Rana Moeinzad, Jorrit-Jan Verlaan, Joseph H. Schwab

Artif. Intell. Medicine, 2022

Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation.

Ramy Hussein, Moss Y. Zhao, David Shin, Jia Guo, Kevin T. Chen, Rui D. Armindo, Guido A. Davidzon, Michael E. Moseley, Greg Zaharchuk

Proceedings of the 26th International Conference on Pattern Recognition, 2022

California Wildfire Prediction using Machine Learning.

Kaylee Pham, David Ward, Saulo Rubio, David Shin, Lior Zlotikman, Sergio Ramirez, Tyler Poplawski, Xunfei Jiang

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Natural language processing with deep learning for medical adverse event detection from free-text medical narratives: A case study of detecting total hip replacement dislocation.

Alireza Borjali, Martin Magneli, David Shin, Henrik Malchau, Orhun K. Muratoglu, Kartik M. Varadarajan

Comput. Biol. Medicine, 2021

2019

ADEPT: Automated Directive Extraction from Policy Texts.

Karl Branting, Stacy Petersen, David Shin, Jim Finegan, Carlos Balhana, Alex Lyte, Craig Pfeifer

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019

Automated Directive Extraction from Policy Texts.

Karl Branting, Jim Finegan, David Shin, Stacy Petersen, Alex Lyte, Carlos Balhana, Craig Pfeifer

Proceedings of the Workshop on Artificial Intelligence and the Administrative State co-located with 17th International Conference on AI and Law (ICAIL 2019), 2019

2016

The Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN) data repository.

David Shin, Ibrahim Burak Özyurt, Greg G. Brown, Christine Fennema-Notestine, Thomas T. Liu

NeuroImage, 2016

2013

The Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN) database and analysis pipeline for arterial spin labeling MRI data.

David Shin, I. Burak Özyurt, Thomas T. Liu

Frontiers Neuroinformatics, 2013

Secured e-health data retrieval in DaaS and Big Data.

David Shin, Tony Sahama, Randike Gajanayake

Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

2011

The Scalability and the Strategy for EMR Database Encryption Techniques.

David Shin, Tony Sahama, Steve Jung-Tae Kim, Ji-Hong Kim

J. Inform. and Commun. Convergence Engineering, 2011

Data Encryptions Techniques for Electronic Health Record Exchange.

David Shin, Tony Sahama, Steve (Jung Tae) Kim, Ji-Hong Kim

Proceedings of the International Perspectives in Health Informatics, 2011