Personal profile
Research interests
Steve Moore completed his MSEE in 1984 and began working with a joint appointment at the Biomedical Computer Laboratory and Department of Internal Medicine (Cardiology) at the Washington University. His work at that time was focused on measuring electrograms and cardiac rhythms and software tools for data visualization and imaging. Mr. Moore joined the Electronic Radiology Laboratory in the Department of Radiology in 1987. The lab was studying image compression, network transmission and workstation development in support of early PACS research. He is best known for his work in supporting the DICOM standard (1992) and IHE Technical Frameworks (1999) as the developer of software tools and managing testing and demonstrations. Mr. Moore continues to manage and develop test tools for the IHE Technical Frameworks as well as create software for managing the data collection and management components of clinical trials. His research interests include clinical trials and management systems as well as applications of imaging and EHR standards in research.
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Collaborations and top research areas from the last five years
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Co-Clinical Imaging Metadata Information (CIMI) for Cancer Research to Promote Open Science, Standardization, and Reproducibility in Preclinical Imaging
Moore, S. M., Quirk, J. D., Lassiter, A. W., Laforest, R., Ayers, G. D., Badea, C. T., Fedorov, A. Y., Kinahan, P. E., Holbrook, M., Larson, P. E. Z., Sriram, R., Chenevert, T. L., Malyarenko, D., Kurhanewicz, J., Houghton, A. M. G., Ross, B. D., Pickup, S., Gee, J. C., Zhou, R. & Gammon, S. T. & 7 others, , Jun 2023, In: Tomography. 9, 3, p. 995-1009 15 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Scopus citations -
NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data
Wang, L., Ambite, J. L., Appaji, A., Bijsterbosch, J., Dockes, J., Herrick, R., Kogan, A., Lander, H., Marcus, D., Moore, S., Poline, J. B., Rajasekar, A., Sahoo, S. S., Turner, M. D., Wang, X., Wang, Y. & Turner, J. A., 2023, In: Frontiers in Neuroinformatics. 17, 1215261.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Scopus citations -
A multisite study of a breast density deep learning model for full-field digital mammography and synthetic mammography
Matthews, T. P., Singh, S., Mombourquette, B., Su, J., Shah, M. P., Pedemonte, S., Long, A., Maffit, D., Gurney, J., Hoil, R. M., Ghare, N., Smith, D., Moore, S., Marks, S. C. & Wahl, R. L., 2021, In: Radiology: Artificial Intelligence. 3, 1, e200015.Research output: Contribution to journal › Article › peer-review
Open Access32 Link opens in a new tab Scopus citations -
De-identification of medical images with retention of scientific research value
Moore, S. M., Maffitt, D. R., Smith, K. E., Kirby, J. S., Clark, K. W., Freymann, J. B., Vendt, B. A., Tarbox, L. R. & Prior, F. W., May 1 2015, In: Radiographics. 35, 3, p. 727-735 9 p.Research output: Contribution to journal › Article › peer-review
Open Access66 Link opens in a new tab Scopus citations -
The RSNA Image Sharing Network
Langer, S. G., Tellis, W., Carr, C., Daly, M., Erickson, B. J., Mendelson, D., Moore, S., Perry, J., Shastri, K., Warnock, M. & Zhu, W., Feb 2014, In: Journal of Digital Imaging. 28, 1, p. 53-61 9 p.Research output: Contribution to journal › Article › peer-review
29 Link opens in a new tab Scopus citations