Cloud Computing Category
Secondary use of radiological imaging data: Vanderbilt’s ImageVU approach
Dec. 4, 2025—David S. Smith, Karthik Ramadass, Laura Jones, Jennifer Morse, Daniel Fabbri, Joseph R. Coco, Shunxing Bao, Melissa Basford, Peter J. Embi, Reed A. Omary, John C. Gore, Jill M. Pulley, Bennett A. Landman. Secondary use of radiological imaging data: Vanderbilt’s ImageVU approach. J Biomed Inform. 2025 Oct;170:104905. doi: 10.1016/j.jbi.2025.104905. Epub 2025 Sep 10. PMID: 40939950....
Enhancing Clinical Data Management Through Barcode Integration and Research Electronic Data Capture: Scalable and Adaptable Implementation Study
Dec. 4, 2025—Rendong Zhang, Sophie Chiron, Regina Tyree, Kate S. Carson, Larry W. Raber, Karthik Ramadass, Chenyu Gao, Michael E. Kim, Lianrui Zuo, Yike Li, Zhiyu Wan, Paul A. Harris, Qi Liu, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman, Shunxing Bao. Enhancing Clinical Data Management Through Barcode Integration and Research...
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis
Sep. 1, 2023—Shunxing Bao, Brian D Boyd, Praitayini Kanakaraj, Karthik Ramadass, Francisco A. C. Meyer, Yuqian Liu, William E. Duett, Yuankai Huo, Ilwoo Lyu, David H. Zald, Seth A. Smith, Baxter P. Rogers, Bennett A. Landman. Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis. Journal of Digital Imaging. 2022 Full Text Abstract...
A cross-platform informatics system for the Gut Cell Atlas: integrating from clinical, anatomical and histological data
Dec. 6, 2020—Shunxing Bao, Sophie Chiron, Yucheng Tang, Cody N. Heiser, Austin N. Southard-Smith, Ho Hin Lee, Marisol A. Ramirez, Yuankai Huo, Mary K. Washington, Elizabeth A. Scoville, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, A cross-platform informatics system for the Gut Cell Atlas: integrating from clinical,...
Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing
Oct. 26, 2018—Shunxing Bao, Prasanna Parvathaneni, Yuankai Huo, Yogesh Barve, Andrew J. Plassard, Yuang Yao, Hongyang Sun, Ilwoo Lyu, David H. Zald, Bennett A. Landman and Aniruddha Gokhale. “Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing.” Big Data (Big Data), 2018 IEEE International Conference. (accepted) (acceptance rate 18.9%) Full text: TBD Abstract Big data medical image processing...
Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service
Nov. 15, 2016—Shunxing Bao, Andrew Plassard, Bennett Landman and Aniruddha Gokhale. “Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service.” IEEE International Conference on Cloud Engineering (IC2E), Vancouver, Canada, April 2017. Full text: NIHMSID Abstract Traditional in-house, laboratory-based medical imaging studies use hierarchical data structures (e.g., NFS file stores) or databases (e.g., COINS, XNAT) for storage and retrieval....
Theoretical and Empirical Comparison of Big Data Image Processing with Apache Hadoop and Sun Grid Engine
Nov. 1, 2016—Shunxing Bao, Frederick D. Weitendorf, Andrew J. Plassard, Yuankai Huo, Aniruddha Gokhale, Bennett A. Landman. “Theoretical and Empirical Comparison of Big Data Image Processing with Apache Hadoop and Sun Grid Engine”. Orlando, Florida, February 2017. Oral presentation. Full Text: Abstract Traditional large scale processing uses a cluster computer that combines a group of workstation nodes...
DAX – The Next Generation: Towards One Million Processes on Commodity Hardware
Nov. 1, 2016—Stephen M. Damon, Brian D. Boyd, Andrew J. Plassard, Warren Taylor, Bennett A. Landman. “DAX – The Next Generation: Towards One Million Processes on Commodity Hardware” In Proceedings of the SPIE Medical Imaging Conference. Orlando, Florida, February 2017. Oral presentation. Full Text: Abstract Large-scale image processing demands a standardized way of storage and distribution. The...
Performance Management of High Performance Computing for Medical Image Processing in Amazon Web Services
Feb. 27, 2016—Shunxing Bao, Stephen M. Damon, Bennett A. Landman, Aniruddha Gokhale. “Performance Management of High Performance Computing for Medical Image Processing in Amazon Web Services.” In Proceedings of the SPIE Medical Imaging Conference. San Diego, California, February 2016. Oral presentation. Full Text: https://www.ncbi.nlm.nih.gov/pubmed/?term=Performance+Management+of+High+Performance+Computing+for+Medical+Image+Processing+in+Amazon+Web+Services Abstract Adopting high performance cloud computing for medical image processing is a popular...