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Page History
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Beck JR. The cancer Biomedical Informatics Grid (caBIG): An evolving community for cancer research
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Channin DS, Rubin DL, Kleper V; Dave VV, Mongkolwat P., A Web-based Open Source and Open Access Annotation and Image Markup (AIM) Template Builder: Radiological Society of North America, Chicago, IL November 2010.
Channin DS, Mongkolwat P, Kleper V, Rubin DL. Computing human image annotation
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Channin DS, Mongkolwat P, Kleper V, Rubin DL. The Annotation and Image Mark-up Project
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Channin DS, Mongkolwat P, Kleper V, Sepukar K, Ruben DL. The caBIG™ annotation and image markup project
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Collins J.D., Kleper V., Talbot S., Carr J.C., Mongkolwat P.; Quantitative Cardiac MR and Thoracic MRA Reporting with caBIG Annotation and Imaging Markup (AIM) to Record Longitudinal Imaging Findings in Patients with Aortic Valve Disease; Radiological Society of North America, Chicago, IL November 2012.
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Garcia Ruiz M, Garcia Chavez A, Ruiz Ibanez C, et al. mantisGRID. A grid platform for DICOM medical images management in Colombia and Latin America
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Gutman D.A., Cooper L. AD, S. Hwang S.N., Holder C.A., Gao D., Aurora T.D., Dunn Jr. W., Wintermark M, Scarpace L., Huang E., Jilwan M., Mikkelsen T., Jain R., Clifford R.J., Raghavan P., Hammoud D., Mongkolwat P., Freymann J., Moreno C., Kirby J., Krishnan A., Jaffe C., Dehkharghani S., Colom R., Saltz J., Flanders A., Brat D.J., MR Imaging Predictors of Molecular Profile and Survival: A Multi-Institutional Study of the TCGA Glioblastoma Data Set: Radiology, March 2013.
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Kahn CE, Langlotz CP, Burnside ES, Carrino JA, Channin DS, Hovsepian DM, Rubin DL. Toward best practices in radiology reporting
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Kahn CE Jr, Langlotz CP, Channin DS, Rubin DL. Informatics in radiology: An information model of the DICOM standard
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Keator DB. Management of information in distributed biomedical collaboratories
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Kleper V., Flanders A.E., Channin D.S., Mongkolwat P., An Approach to Structured Reporting in Clinical Research: D L Rubin, MD, Stanford, CA; PhD; Radiological Society of North America, Chicago, IL November 2010.
Korenblum D, Rubin D, Napel S, Rodriguez C, Beaulieu C. Managing biomedical image metadata for search and retrieval of similar images
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Levy M, Rubin DL. Tool support to enable evaluation of the clinical response to treatment
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Levy MA, O'Connor MJ, Rubin DL. Annotation and image markup: Accessing and interoperating with the semantic content in medical imaging
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Mendelson DS, Bak PRG, Menschik E, Siegel Image exchange: IHE and the evolution of image sharing
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Mongkolwat P, Channin D.S., V. Kleper, Rubin D.L.; The caBIG(TM) Annotation and Image Markup (AIM) 3.0 and AIM Template; The 2010 caBIG® Annual Meeting “Building a Collaborative Biomedical Network,” Washington DC, September 2010.
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Napel S, Beaulieu CF, Faruque JS, Rodriguez C, Korenblum D, Cui J-Y, Xu J, Gupta A, Greenspan H, Tye G, Rubin DL; Content-based image retrieval: portal venous CT of liver lesions
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Napel SA, Beaulieu CF, Rodriguez C, Cui J, Xu J, Gupta A, Korenblum D, Greenspan H, Ma Y, Rubin DL. Automated retrieval of CT images of liver lesions on the basis of image similarity: Method and preliminary results
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Opulencia P, Channin DS, Raicu DS, Furst JD. Mapping LIDC, RadLex™, and lung nodule image features
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Oster S, Langella S, Hastings S, Ervin D, Maduri R, Phillips J, Kurc T, Siebenlist F, Covitz P, Shanbhag K, Foster I, Saltz J. caGrid 1.0: an enterprise Grid infrastructure for biomedical research
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Pham, D., Mongkolwat, P., Talbot, S., Kleper, V.; Carroll, T.J., Butman, J.A.; Using National Institute of Neurological Disorders and Stroke (NINDS) Common Data Elements (CDEs) and caBIG ® Annotation Image Annotation (AIM) to Record Longitudinal Imaging Findings in Traumatic Brain Injury (TBI); Radiological Society of North America, Chicago, IL November 2012.
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Rubin DL, Mongkolwat P, Channin DS. A semantic image annotation model to enable integrative translational research
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Rubin DL, Mongkolwat P, Kleper V, Supekar K, Channin DS. Annotation and image markup: Accessing and Interoperating with the semantic content in medical imaging
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Rubin DL, Napel S. Imaging informatics: Toward capturing and processing semantic information in radiology images
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Rubin DL, Rodriguez C, Shah P, Beaulieu C. iPad: semantic annotation and markup of radiological images
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Siegel E. MOE 213 A 03: The Cancer Biomedical Informatics Grid---A tremendous resource for research and clinical care
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Teistler, M., Bott O.J., Seibert J., Brunberg, J.A., Mongkolwat, P., Collins, J.D., et al., Enhancing the Image Interpretation Process: Utilizing 3D Game Controllers for Efficiently Navigating through 2D, 3D and 4D CT, MR and PET Images; Radiological Society of North America, Chicago, IL December 2013.
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Wang F, Kurc T, Widener P, Pan T, Kong J, Cooper L, Gutman D, Sharma A, Cholleti S, Kumar V, Saltz J.; High-performance systems for in silico microscopy imaging studies
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Wang F, Pan T, Sharma A, Saltz J. Managing and querying image annotation and markup in XML
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