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Stephen M. Moore

Researcher at Washington University in St. Louis

Publications -  36
Citations -  4419

Stephen M. Moore is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: DICOM & National Lung Screening Trial. The author has an hindex of 14, co-authored 35 publications receiving 3059 citations. Previous affiliations of Stephen M. Moore include University of Washington.

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Journal ArticleDOI

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

TL;DR: The management tasks and user support model for TCIA is described, an open-source, open-access information resource to support research, development, and educational initiatives utilizing advanced medical imaging of cancer.
Journal ArticleDOI

The national lung screening trial: Overview and study design

Constantine A. Gatsonis, +1336 more
- 01 Jan 2011 - 
TL;DR: The National Lung Screening Trial (NLST) is a randomized multicenter study comparing low-dose helical computed tomography with chest radiography in the screening of older current and former heavy smokers for early detection of lung cancer.
Proceedings ArticleDOI

TCIA: An information resource to enable open science

TL;DR: The Cancer Imaging Archive (TCIA) collects, de-identifies, curates and manages rich collections of oncology image data, hosting and managing the image archive, providing project wiki space and searchable metadata repositories.
Journal ArticleDOI

De-identification of Medical Images with Retention of Scientific Research Value

TL;DR: Researchers and publishers of imaging data can use the tools and process described in this article to de-identify DICOM images according to current best practices, removing scientifically useful data as well as PHI.
Journal ArticleDOI

IHE: a model for driving adoption of standards.

TL;DR: This paper describes an ongoing initiative that attempts to bring together healthcare professionals and industry experts to coordinate the implementation of standards in ways that enhance operational efficiency and the quality of patient care.