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Publications

Found 288 results
2015
Localization of damage in progressive hydroxychloroquine retinopathy on and off the drug: inner versus outer retina, parafovea versus peripheral fovea, de Sisternes, L., Hu J., Rubin D. L., and Marmor M. F. , Invest Ophthalmol Vis Sci, May, Volume 56, Number 5, p.3415-26, (2015)
Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities, Itakura, H., Achrol A. S., Mitchell L. A., Loya J. J., Liu T., Westbroek E. M., Feroze A. H., Rodriguez S., Echegaray S., Azad T. D., et al. , Sci Transl Med, Sep 2, Volume 7, Number 303, p.303ra138, (2015)
Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival, Wangaryattawanich, P., Hatami M., Wang J., Thomas G., Flanders A., Kirby J., Wintermark M., Huang E. S., Bakhtiari A. S., Luedi M. M., et al. , Neuro Oncol, Jul 22, (2015)
Ontology-based Image Navigation: Exploring 3.0-T MR Neurography of the Brachial Plexus Using AIM and RadLex, Wang, K. C., Salunkhe A. R., Morrison J. J., Lee P. P., Mejino J. L., Detwiler L. T., Brinkley J. F., Siegel E. L., Rubin D. L., and Carrino J. A. , Radiographics, Jan-Feb, Volume 35, Number 1, p.142-51, (2015)
Optimized steerable wavelets for texture analysis of lung tissue in 3-D CT: Classification of usual interstitial pneumonia, Depeursinge, A., Pad P., Chin A. S., Leung A. N., Rubin D. L., Muller H., and Unser M. , Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, 16-19 April 2015, p.403-406, (2015)
Polychromatic X-Ray Absorptiometry to Quantify Breast Density Volume, Ratio and their Associated Breast Cancer Risk in Full-Digital Mammography, de Sisternes, L., Rothstein J. H., Jeffers A. M., Sieh W., and Rubin D. L. , Proceedings of the American Medical Informatics Association, p.28-29, (2015)
Probabilistic visual search for masses within mammography images using deep learning, Ertosun, M. G., and Rubin D. L. , 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 9-12 Nov. 2015, Washington, DC, p.1310-1315, (2015)
Radiogenomics of clear cell renal cell carcinoma: preliminary findings of The Cancer Genome Atlas-Renal Cell Carcinoma (TCGA-RCC) Imaging Research Group, Shinagare, A. B., Vikram R., Jaffe C., Akin O., Kirby J., Huang E., Freymann J., Sainani N. I., Sadow C. A., Bathala T. K., et al. , Abdom Imaging, Mar 10, (2015)
Restricted Summed-Area Projection for Geographic Atrophy Visualization in SD-OCT Images, Chen, Q., Niu S., Shen H., Leng T., de Sisternes L., and Rubin D. L. , Transl Vis Sci Technol, Sep, Volume 4, Number 5, p.2, (2015)
Semantic Retrieval of Radiological Images with Relevance Feedback, Kurtz, Camille, Idoux Paul-André, Thangali Avinash, Cloppet Florence, Beaulieu Christopher F., and Rubin Daniel L. , Cham, p.11-25, (2015)
Visual Prognosis of Eyes Recovering From Macular Hole Surgery Through Automated Quantitative Analysis of Spectral-Domain Optical Coherence Tomography (SD-OCT) Scans, de Sisternes, L., Hu J., Rubin D. L., and Leng T. , Invest Ophthalmol Vis Sci, Jul, Volume 56, Number 8, p.4631-43, (2015)
Weighted locality-constrained linear coding for lesion classification in CT images, Yixuan, Yuan, Hoogi A., Beaulieu C. F., Meng M. Q. H., and Rubin D. L. , Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 25-29 Aug. 2015, p.6362-6365, (2015)
2014
Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients, Nicolasjilwan, M., Hu Y., Yan C., Meerzaman D., Holder C. A., Gutman D., Jain R., Colen R., Rubin D. L., Zinn P. O., et al. , J NeuroradiolJ Neuroradiol, Jul 2, (2014)
Automated Classification of Usual Interstitial Pneumonia Using Regional Volumetric Texture Analysis in High-Resolution Computed Tomography, Depeursinge, A., Chin A. S., Leung A. N., Terrone D., Bristow M., Rosen G., and Rubin D. L. , Invest Radiol, Dec 30, (2014)
Automated detection of ambiguity in BI-RADS assessment categories in mammography reports, Bozkurt, S., and Rubin D. , Stud Health Technol Inform, Volume 197, p.35-9, (2014)
Automated retinal layers segmentation in SD-OCT images using dual-gradient and spatial correlation smoothness constraint, Niu, S., Chen Q., de Sisternes L., Rubin D. L., Zhang W., and Liu Q. , Comput Biol MedComput Biol Med, Sep 6, Volume 54C, p.116-128, (2014)
Automated tracking of quantitative assessments of tumor burden in clinical trials, Rubin, D. L., Willrett D., O'Connor M. J., Hage C., Kurtz C., and Moreira D. A. , Transl OncolTransl Oncol, Feb, Volume 7, Number 1, p.23-35, (2014)
Automatic abstraction of imaging observations with their characteristics from mammography reports, Bozkurt, S., Lipson J. A., Senol U., and Rubin D. L. , J Am Med Inform Assoc, Oct 28, (2014)
Classification of hepatic lesions using the matching metric, Adcock, Aaron, Rubin Daniel, and Carlsson Gunnar , Computer Vision and Image Understanding, 4//, Volume 121, p.36-42, (2014)
On combining image-based and ontological semantic dissimilarities for medical image retrieval applications, Kurtz, C., Depeursinge A., Napel S., Beaulieu C. F., and Rubin D. L. , Med Image AnalMed Image Anal, Oct, Volume 18, Number 7, p.1082-100, (2014)
Developing a comprehensive database management system for organization and evaluation of mammography datasets, Wu, Y., Rubin D. L., Woods R. W., Elezaby M., and Burnside E. S. , Cancer InformCancer Inform, Volume 13, Number Suppl 3, p.53-62, (2014)
Errors in Quantitative Image Analysis due to Platform-Dependent Image Scaling, Chenevert, T. L., Malyarenko D. I., Newitt D., Li X., Jayatilake M., Tudorica A., Fedorov A., Kikinis R., Liu T. T., Muzi M., et al. , Transl OncolTransl Oncol, Feb, Volume 7, Number 1, p.65-71, (2014)
Extracting imaging observation entities in mammography reports, Bozkurt, S., and Rubin D. , Stud Health Technol Inform, Volume 205, p.1223, (2014)
A False Color Fusion Strategy for Drusen and Geographic Atrophy Visualization in Optical Coherence Tomography Images, Chen, Q., Leng T., Niu S., Shi J., de Sisternes L., and Rubin D. L. , RetinaRetina, Jul 24, (2014)
A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations, Kurtz, C., Beaulieu C. F., Napel S., and Rubin D. L. , J Biomed Inform, Mar 12, (2014)
Letter to Cancer Center Directors: Progress in Quantitative Imaging As a Means to Predict and/or Measure Tumor Response in Cancer Therapy Trials, Mountz, J. M., Yankeelov T. E., Rubin D. L., Buatti J. M., Erikson B. J., Fennessy F. M., Gillies R. J., Huang W., Jacobs M. A., Kinahan P. E., et al. , J Clin OncolJ Clin Oncol, May 27, (2014)
Neuroanatomical domain of the foundational model of anatomy ontology, Nichols, B. N., Mejino J. L., Detwiler L. T., Nilsen T. T., Martone M. E., Turner J. A., Rubin D. L., and Brinkley J. F. , J Biomed SemanticsJ Biomed Semantics, Jan 8, Volume 5, Number 1, p.1, (2014)
A Novel Method to Assess Incompleteness of Mammography Report Content (Martin Epstein Award), Gimenez, F., Wu Y., Burnside E. S., and Rubin D. L. , Proceedings of the American Medical Informatics Association, Washington, DC, p.1758-1767, (2014)
Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT, Depeursinge, A., Kurtz C., Beaulieu C., Napel S., and Rubin D. , IEEE Trans Med ImagingIEEE Trans Med Imaging, Aug, Volume 33, Number 8, p.1669-76, (2014)
Quantitative SD-OCT imaging biomarkers as indicators of age-related macular degeneration progression, de Sisternes, L., Simon N., Tibshirani R., Leng T., and Rubin D. L. , Invest Ophthalmol Vis SciInvest Ophthalmol Vis Sci, Nov, Volume 55, Number 11, p.7093-103, (2014)
Registration of SD-OCT en-face images with color fundus photographs based on local patch matching, Niu, S., Chen Q., Shen H., de Sisternes L., and Rubin D. L. , Ophthalmic Medical Image Analysis First International Workshop, OMIA 2014 in Conjunction with MICCAI 2014, Boston, Massachusetts, (2014)
A robust classifier to distinguish noise from FMRI independent components, Sochat, V., Supekar K., Bustillo J., Calhoun V., Turner J. A., and Rubin D. L. , PLoS ONEPLoS ONE, Volume 9, Number 4, p.e95493, (2014)
Semiautomatic segmentation and follow-up of multicomponent low-grade tumors in longitudinal brain MRI studies, Weizman, L., Sira L. B., Joskowicz L., Rubin D. L., Yeom K. W., Constantini S., Shofty B., and Bashat D. B. , Med PhysMed Phys, May, Volume 41, Number 5, p.052303, (2014)
Utilisation de relations ontologiques pour la comparaison d'images décrites par des annotations sémantiques, Kurtz, C., and Rubin D. L. , EGC 2014, Conférence Francophone sur l'Extraction et la Gestion de Connaissance, Rennes, France, January 2014, (2014)
2013
ACR-AAPM-SIIM practice guideline for determinants of image quality in digital mammography, Kanal, K. M., Krupinski E., Berns E. A., Geiser W. R., Karellas A., Mainiero M. B., Martin M. C., Patel S. B., Rubin D. L., Shepard J. D., et al. , J Digit ImagingJournal of Digital Imaging, Feb, Volume 26, Number 1, p.10-25, (2013)
Annotation for information extraction from mammography reports, Bozkurt, S., Gulkesen K. H., and Rubin D. , Stud Health Technol Inform, Volume 190, p.183-5, (2013)
Automated drusen segmentation and quantification in SD-OCT images, Chen, Q., Leng T., Zheng L., Kutzscher L., Ma J., de Sisternes L., and Rubin D. L. , Med Image AnalMed Image Anal, Jul 2, Volume 17, Number 8, p.1058-1072, (2013)
A Combinatorial Radiophenotype Stratifies Patient Survival and Associates with Invasion/Proliferation Characteristics in Glioblastoma (Gbm), Rao, A., Rao G., Flanders A., and Grp TCGA Glioma Phe , Neuro-OncologyNeuro-Oncology, Nov, Volume 15, p.202-202, (2013)
Comprehensive molecular characterization of clear cell renal cell carcinoma, Research, Network Cancer Gen , NatureNature, Jul 4, Volume 499, Number 7456, p.43-9, (2013)
Dynamic contrast-enhanced MRI-based biomarkers of therapeutic response in triple-negative breast cancer, Golden, D. I., Lipson J. A., Telli M. L., Ford J. M., and Rubin D. L. , J Am Med Inform Assoc, Nov 1, Volume 20, Number 6, p.1059-66, (2013)
Formative Evaluation of Ontology Learning Methods for Entity Discovery by Using Existing Ontologies as Reference Standards, Liu, K., Mitchell K. J., Chapman W. W., Savova G. K., Sioutos N., Rubin D. L., and Crowley R. S. , Methods Inf MedMethods Inf Med, May 13, Volume 52, Number 4, (2013)
Imaging informatics: essential tools for the delivery of imaging services, Mendelson, D. S., and Rubin D. L. , Acad Radiol, Oct, Volume 20, Number 10, p.1195-212, (2013)
An Improved Optical Coherence Tomography-Derived Fundus Projection Image for Drusen Visualization, Chen, Q., Leng T., Zheng L. L., Kutzscher L., de Sisternes L., and Rubin D. L. , RetinaRetina, Oct 30, (2013)
MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set, Gutman, D. A., Cooper L. A., Hwang S. N., Holder C. A., Gao J., Aurora T. D., Dunn, Jr. W. D., Scarpace L., Mikkelsen T., Jain R., et al. , RadiologyRadiology, May, Volume 267, Number 2, p.560-569, (2013)
A picture is worth a thousand words: needs assessment for multimedia radiology reports in a large tertiary care medical center, Nayak, L., Beaulieu C. F., Rubin D. L., and Lipson J. A. , Acad Radiol, Dec, Volume 20, Number 12, p.1577-83, (2013)
Qualitative and quantitative image-based biomarkers of therapeutic response in triple-negative breast cancer, Golden, D. I., Lipson J. A., Telli M. L., Ford J. M., and Rubin D. L. , AMIA Summits Transl Sci ProcAMIA Summits Transl Sci Proc, Volume 2013, p.62, (2013)
Quantitative evaluation of drusen on photographs, Rubin, D. L., de Sisternes L., Kutzscher L., Chen Q., Leng T., and Zheng L. L. , OphthalmologyOphthalmology, Mar, Volume 120, Number 3, p.644-644 e2, (2013)
Quantitative imaging biomarker ontology (QIBO) for knowledge representation of biomedical imaging biomarkers, Buckler, A. J., Ouellette M., Danagoulian J., Wernsing G., Liu T. T., Savig E., Suzek B. E., Rubin D. L., and Paik D. , J Digit ImagingJournal of Digital Imaging, Aug, Volume 26, Number 4, p.630-41, (2013)
Semi-automatic geographic atrophy segmentation for SD-OCT images, Chen, Q., de Sisternes L., Leng T., Zheng L., Kutzscher L., and Rubin D. L. , Biomed Opt ExpressBiomed Opt Express, Volume 4, Number 12, p.2729-50, (2013)
Snake model-based lymphoma segmentation for sequential CT images, Chen, Q., Quan F., Xu J., and Rubin D. L. , Comput Methods Programs BiomedComput Methods Programs Biomed, Aug, Volume 111, Number 2, p.366-75, (2013)
2012
ACR-AAPM-SIIM Practice Guideline for Determinants of Image Quality in Digital Mammography, Kanal, K. M., Krupinski E., Berns E. A., Geiser W. R., Karellas A., Mainiero M. B., Martin M. C., Patel S. B., Rubin D. L., Shepard J. D., et al. , J Digit Imaging, Sep 20, (2012)
Automatic annotation of radiological observations in liver CT images, Gimenez, F., Xu J., Liu Y., Liu T., Beaulieu C., Rubin D., and Napel S. , AMIA Annu Symp Proc, Volume 2012, p.257-63, (2012)
Automatic classification of mammography reports by BI-RADS breast tissue composition class, Percha, B., Nassif H., Lipson J., Burnside E., and Rubin D. , J Am Med Inform Assoc, Sep-Oct, Volume 19, Number 5, p.913-6, (2012)
Biomedical Imaging Informatics, Rubin, D. L., Greenspan H., and Brinkley J. F. , Biomedical Informatics: Computer Applications in Health Care and Biomedicine, New York, NY, (2012)
Finding the Meaning in Images: Annotation and Image Markup, Rubin, D. L. , Philosophy, Psychiatry, and Psychology, Volume 18, Number 4, (2012)
Informatics in radiology: An open-source and open-access cancer biomedical informatics grid annotation and image markup template builder, Mongkolwat, P., Channin D. S., Kleper V., and Rubin D. L. , Radiographics, Jul-Aug, Volume 32, Number 4, p.1223-32, (2012)
Informatics in Radiology: Improving Clinical Work Flow through an AIM Database: A Sample Web-based Lesion Tracking Application, Abajian, A. C., Levy M., and Rubin D. L. , Radiographics, Sep, Volume 32, Number 5, p.1543-52, (2012)
Informatics methods to enable sharing of quantitative imaging research data, Levy, M. A., Freymann J. B., Kirby J. S., Fedorov A., Fennessy F. M., Eschrich S. A., Berglund A. E., Fenstermacher D. A., Tan Y., Guo X., et al. , Magn Reson Imaging, Nov, Volume 30, Number 9, p.1249-56, (2012)
Integration of imaging signs into RadLex, Shore, M. W., Rubin D. L., and Kahn, Jr. C. E. , J Digit ImagingJournal of Digital Imaging, Feb, Volume 25, Number 1, p.50-5, (2012)
Modeling Perceptual Similarity Measures in CT Images of Focal Liver Lesions, Faruque, J., Rubin D. L., Beaulieu C. F., and Napel S. , J Digit Imaging, Dec 20, (2012)
Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results, Gevaert, O., Xu J., Hoang C. D., Leung A. N., Xu Y., Quon A., Rubin D. L., Napel S., and Plevritis S. K. , RadiologyRadiology, Aug, Volume 264, Number 2, p.387-96, (2012)
Prognostic PET 18F-FDG uptake imaging features are associated with major oncogenomic alterations in patients with resected non-small cell lung cancer, Nair, V. S., Gevaert O., Davidzon G., Napel S., Graves E. E., Hoang C. D., Shrager J. B., Quon A., Rubin D. L., and Plevritis S. K. , Cancer Research, Aug 1, Volume 72, Number 15, p.3725-34, (2012)
Quantifying the margin sharpness of lesions on radiological images for content-based image retrieval, Xu, J., Napel S., Greenspan H., Beaulieu C. F., Agrawal N., and Rubin D. , Med PhysMed Phys, Sep, Volume 39, Number 9, p.5405-18, (2012)
The role of informatics in health care reform, Liu, Y. I., and Rubin D. L. , Acad Radiol, Sep, Volume 19, Number 9, p.1094-9, (2012)
Using the Semantic Web and Web Apps to Connect Radiologists and Oncologists, Serique, K. A., Snyder A., Willrettt D., Rubin D. L., and Moreira D. A. , 21st IEEE International WETICE Conference, Modeling the Collaborative Web Knowledge (Web2Touch) conference track, (2012)
2011
Automated temporal tracking and segmentation of lymphoma on serial CT examinations, Xu, J., Greenspan H., Napel S., and Rubin D. L. , Med PhysMed Phys, Nov, Volume 38, Number 11, p.5879-86, (2011)
A bayesian network for differentiating benign from malignant thyroid nodules using sonographic and demographic features, Liu, Y. I., Kamaya A., Desser T. S., and Rubin D. L. , AJR Am J Roentgenol, May, Volume 196, Number 5, p.W598-605, (2011)
A Comprehensive Descriptor of Shape: Method and Application to Content-Based Retrieval of Similar Appearing Lesions in Medical Images, Xu, J., Faruque J., Beaulieu C. F., Rubin D. L., and Napel S. , J Digit Imaging, May 6, (2011)
Computational approaches to assist in the evaluation of cancer treatment response, Levy, M. A., and Rubin D. L. , Imaging in Medicine, Volume 3, Number 2, p.233-246, (2011)
Current and future trends in imaging informatics for oncology, Levy, M. A., and Rubin D. L. , Cancer JCancer J, Jul-Aug, Volume 17, Number 4, p.203-10, (2011)
Informatics in radiology: an information model of the DICOM standard, Kahn, Jr., C. E., Langlotz C. P., Channin D. S., and Rubin D. L. , Radiographics, Jan-Feb, Volume 31, Number 1, p.295-304, (2011)
Informatics in radiology: Measuring and improving quality in radiology: meeting the challenge with informatics, Rubin, D. L. , Radiographics, Oct, Volume 31, Number 6, p.1511-27, (2011)
Integration of Imaging Signs into RadLex, Shore, M. W., Rubin D. L., and Kahn, Jr. C. E. , J Digit Imaging, Apr 15, (2011)
Managing biomedical image metadata for search and retrieval of similar images, Korenblum, D., Rubin D. L., Napel S., Rodriguez C., and Beaulieu C. , J Digit Imaging, Aug, Volume 24, Number 4, p.739-48, (2011)
Ontology-assisted analysis of Web queries to determine the knowledge radiologists seek (JDI Best Paper Award), Rubin, D. L., Flanders A., Kim W., Siddiqui K. M., and Kahn, Jr. C. E. , J Digit Imaging, Feb, Volume 24, Number 1, p.160-4, (2011)
A practical method for transforming free-text eligibility criteria into computable criteria, Tu, S. W., Peleg M., Carini S., Bobak M., Ross J., Rubin D. L., and Sim I. , J Biomed Inform, Apr, Volume 44, Number 2, p.239-50, (2011)
2010
AMIA Distinguished Paper Award: Natural language processing for lines and devices in portable chest x-rays, Rubin, D. L., Wang D., Chambers D. A., Chambers J. G., South B. R., and Goldstein M. K. , AMIA Annu Symp Proc, Volume 2010, p.692-6, (2010)
Application of neuroanatomical ontologies for neuroimaging data annotation, Turner, J. A., Mejino J. L., Brinkley J. F., Detwiler L. T., Lee H. J., Martone M. E., and Rubin D. L. , Front NeuroinformFront Neuroinform, Volume 4, (2010)
Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results, Napel, S. A., Beaulieu C. F., Rodriguez C., Cui J., Xu J., Gupta A., Korenblum D., Greenspan H., Ma Y., and Rubin D. L. , Radiology, Jul, Volume 256, Number 1, p.243-52, (2010)
The Biomedical Resource Ontology (BRO) to enable resource discovery in clinical and translational research, Tenenbaum, J. D., Whetzel P. L., Anderson K., Borromeo C. D., Dinov I. D., Gabriel D., Kirschner B., Mirel B., Morris T., Noy N., et al. , J Biomed Inform, Oct 16, (2010)
Content-Based Image Retrieval in Radiology: Current Status and Future Directions, Akgul, C. B., Rubin D. L., Napel S., Beaulieu C. F., Greenspan H., and Acar B. , J Digit Imaging, Apr 8, (2010)
Imaging informatics: toward capturing and processing semantic information in radiology images, Rubin, D. L., and Napel S. , Yearb Med Inform, p.34-42, (2010)
Informatics in radiology: RADTF: a semantic search-enabled, natural language processor-generated radiology teaching file, Do, B. H., Wu A., Biswal S., Kamaya A., and Rubin D. L. , Radiographics, Nov, Volume 30, Number 7, p.2039-48, (2010)
An integrative approach for in silico glioma research, Cooper, L. A., Kong J., Gutman D. A., Wang F., Cholleti S. R., Pan T. C., Widener P. M., Sharma A., Mikkelsen T., Flanders A. E., et al. , IEEE Trans Biomed Eng, Oct, Volume 57, Number 10, p.2617-21, (2010)
2009
The ACR BI-RADS experience: learning from history, Burnside, E. S., Sickles E. A., Bassett L. W., Rubin D. L., Lee C. H., Ikeda D. M., Mendelson E. B., Wilcox P. A., Butler P. F., and D'Orsi C. J. , J Am Coll Radiol, Dec, Volume 6, Number 12, p.851-60, (2009)
Annotation and Image Markup: Accessing and Interoperating with the Semantic Content in Medical Imaging, b>Rubin, D. L. </b> <, Supekar K., Mongkolwat P., Kleper V., and Channin D. S. , IEEE Intelligent Systems, Jan-Feb, Volume 24, Number 1, p.57-65, (2009)
The annotation and image mark-up project, Channin, D. S., Mongkolwat P., Kleper V., and b>Rubin D. L. </b> < , Radiology, Dec, Volume 253, Number 3, p.590-2, (2009)
Automated semantic indexing of figure captions to improve radiology image retrieval, Kahn, Jr., C. E., and Rubin D. L. , J Am Med Inform Assoc, May-Jun, Volume 16, Number 3, p.380-6, (2009)
BioPortal: ontologies and integrated data resources at the click of a mouse, Noy, N. F., Shah N. H., Whetzel P. L., Dai B., Dorf M., Griffith N., Jonquet C., Rubin D. L., Storey M. A., Chute C. G., et al. , Nucleic Acids Research, Jul 1, Volume 37, p.W170-W173, (2009)
The caBIG Annotation and Image Markup Project, Channin, D. S., Mongkolwat P., Kleper V., Sepukar K., and Rubin D. L. , J Digit Imaging, Mar 18, (2009)
Comparing Concept Recognizers for Ontology-Based Indexing: MGREP vs. MetaMap, Bhatia, N., Shah N. H., Rubin D. L., Chiang A. P., and Musen M. A. , AMIA Summit on Translational Bioinformatics, San Francisco, CA, p.12-16, (2009)
Comparison of concept recognizers for building the Open Biomedical Annotator, Shah, N. H., Bhatia N., Jonquet C., Rubin D., Chiang A. P., and Musen M. A. , BMC Bioinformatics, Volume 10 Suppl 9, p.S14, (2009)
Computational neuroanatomy: ontology-based representation of neural components and connectivity, b>Rubin, D. L. </b> <, Talos I. F., Halle M., Musen M. A., and Kikinis R. , BMC Bioinformatics, Volume 10 Suppl 2, p.S3, (2009)
Computing human image annotation, Channin, D. S., Mongkolwat P., Kleper V., and b>Rubin D. L. </b> < , Conf Proc IEEE Eng Med Biol Soc, Volume 1, p.7065-8, (2009)
A Controlled Vocabulary to Represent Sonographic Features of the Thyroid and its application in a Bayesian Network to Predict Thyroid Nodule Malignancy, Liu, Y. I., Kamaya A., Desser T. D., and b>Rubin D. L. </b> < , AMIA Summit on Translational Bioinformatics, (2009)
Evaluation of Negation and Uncertainty Detection and its Impact on Precision and Recall in Search, Wu, A. S., Do B. H., Kim J., and Rubin D. L. , J Digit Imaging, Nov 10, (2009)
Informatics methods to enable patient-centered radiology, b>Rubin, D. L. </b> < , Acad Radiol, May, Volume 16, Number 5, p.524-34, (2009)
The IR RadLex project: an interventional radiology lexicon--a collaborative project of the Radiological Society of North America and the Society of Interventional Radiology, Kundu, S., Itkin M., Gervais D. A., Krishnamurthy V. N., Wallace M. J., Cardella J. F., b>Rubin D. L. </b> <, and Langlotz C. P. , J Vasc Interv Radiol, Apr, Volume 20, Number 4, p.433-5, (2009)
Querying Radiology Appropriateness Criteria from a virtual Medical Record using GELLO., Peleg, M., and Rubin D. L. , Proc. Workshop on Knowledge Representation for Health-Care: Patient Data, Processes and Guidelines, in conjunction with Artificial Intelligence in Medicine Europe, Verona, Italy, (2009)
A Semantic Image Annotation Model to Enable Integrative Translational Research, b>Rubin, D. L. </b> <, Mongkolwat P., and Channin D. S. , AMIA Summit on Translational Bioinformatics, San Francisco, CA, (2009)

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