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  • Winnenburg R, Mortensen JM, Bodenreider O. Using description logics to evaluate the consistency of drug-class membership relations in NDF-RT. J Biomed Semantics. 2015 Mar 28;6:13. doi: 10.1186/s13326-015-0007-3. eCollection 2015.
  • Abhyankar S, Callaghan FM, Demner-Fushman D, McDonald CJ. Using informatics tools to study obesity and outcomes after critical illness. NLM Informatics Training Conference 2011, National Institutes of Health (NIH) Campus, Natcher Conference Center, Bethesda, MD, June 28-30, 2011.
  • Weiner M, Callahan CM, Tierney WM, Overhage JM, Mamlin B, Dexter PR, McDonald CJ. Using information technology to improve the health care of older adults. Ann Intern Med. 2003 Sep 2;139(5 Pt 2):430-6.
  • Abhyankar S, Therrell B, Eaton R, Cuthbert C, Ojodu J, Copeland S, Goodwin RM, McDonald C. Using LOINC and HL7 to standardize hemoglobinopathy screening result reporting. APHL Newborn Screening and Genetics Testing Symposium. 2011 Nov 7.
  • Simonaitis L, McDonald CJ. Using National Drug Codes and drug knowledge bases to organize prescription records from multiple sources. Am J Health Syst Pharm. 2009 Oct 1;66(19):1743-53. doi: 10.2146/ajhp080221.
  • Pan H, Tryka KA, Vreeman DJ, Huggins W, Phillips MJ, Mehta JP, Phillips JH, McDonald C, Junkins HA, Ramos EM, Hamilton CM. Using PhenX measures to identify opportunities for cross-study analysis. Hum Mutat. 2012 May;33(5):849-57. doi: 10.1002/humu.22074. Epub 2012 Apr 3.
  • Xu X, Lee DJ, Antani SK, Long LR, Archiband JK. Using Relevance Feedback with Short-term Memory for Content-based Spine X-ray Image Retrieval. J Neurocomputing. June 2009;72(10-12):2259-69.
  • Patel CO, Cimino JJ. Using Semantic and Structural Properties of the UMLS to Discover Potential Terminological Relationships AMIA Annu Symp Proc. 2008 Nov 6:555.
  • Bodenreider O. Using SNOMED CT in combination with MedDRA for reporting signal detection and adverse drug reactions reporting. AMIA Annu Symp Proc. 2009 Nov 14;2009:45-9.
  • Wei D, Bodenreider O. Using the abstraction network in complement to description logics for quality assurance in biomedical terminologies - a case study in SNOMED CT. Stud Health Technol Inform. 2010;160(Pt 2):1070-4.
  • Peters L, Bodenreider O. Using the RxNorm Web Services API for Quality Assurance Purposes AMIA Annu Symp Proc. 2008 Nov 6:591-5.
  • Bodenreider O. Using UMLS semantics for classification purposes. Proc AMIA Symp. 2000:86-90.
  • Huang KC, Geller J, Halper M, Perl Y, Xu J. Using WordNet synonym substitution to enhance UMLS source integration. Artif Intell Med. June 2009;46(2):97-109. doi: 10.1016/j.artmed.2008.11.008. Epub 2008 Dec 30.
  • Mougin F, Burgun A, Bodenreider O. Using WordNet to Improve the Mapping of Data Elements to UMLS for Data Sources Integration AMIA Annu Symp Proc. 2006:574-8
  • Rondonotti E, Koulaouzidis A, Karargyris A, Giannakou A, Fini L, Soncini M, Pennazio M, Douglas S, Shams A, Lachlan N, Zahid A, Mandelli G, Girelli C. Utility of 3-dimensional image reconstruction in the diagnosis of small-bowel masses in capsule endoscopy (with video). Gastrointest Endosc. 2014 Oct;80(4):642-51. doi: 10.1016/j.gie.2014.04.057. Epub 2014 Jul 3.
  • Fung KW, Bodenreider O. Utilizing the UMLS for Semantic Mapping between Terminologies. AMIA Annu Symp Proc. 2005:266-70.
  • Clark DO, Kroenke K, Callahan CM, McDonald CJ. Validity and utility of patient-reported health measures on hospital admission. J Clin Epidemiol. 1999 Jan;52(1):65-71.
  • Antani S, Long LR, Thoma GR, Stanley RJ. Vertebra Shape Classification using MLP for Content-Based Image Retrieval International Neural Networks Society and IEEE Neural Networks Society. 2003 July 2003;:160-65.
  • Ducut E, Liu F, Avila JM, Encinas MA, Diwa M, Fontelo P. Virtual Microscopy in a Developing Country: A Collaborative Approach to Building an Image Library. Journal of eHealth Technology and Application. 2010 Sep;8(2):112-5.
  • Fontelo P, DiNino E, Johansen K, Khan A, Ackerman MJ. Virtual Microscopy: Potential Applications in Medical Education and Telemedicine in Countries with Developing Economies. Proceedings of the 38th Hawaii International Conference on System Sciences; 2005 Jan 3-6; Big Island, Hawaii: 7 pages. IEEE Computer Society.
  • Ratiu P, Hillen B, Glaser J, Jenkins DB. Visible Human 2.0 - The Next Generation. In: Westwood JD, Hoffman HM, Mogel GT, Phillips R, Robb RA, Stredney D, editors. Stud Health Technol Inform [Studies in Health Technology and Informatics] -- Proceedings of the 11th annual Medicine Meets Virtual Reality conference; 2003 Jan;94:275-81. Amsterdam: IOS Press.
  • Ackerman MJ. Visible Human Project. McGraw-Hill 2004 Yearbook of Science & Technology. New York: McGraw-Hill. 2004. p. 369-72.
  • Ackerman MJ. Visible Human Project: From Data to Knowledge. In: Haux R, Kulikowski C, editors. Yearbook of Medical Informatics 2002: Medical Imaging Informatics. International Medical Informatics Association (IMIA). p. 115-7.
  • Jeronimo J, Massad LS, Schiffman M for the NIH-ASCCP Research Group. Visual Appearance of the Uterine Cervix: Correlation with Human Papillomavirus Detection and Type Am J Obstet Gynecol. 2007 Jul;197(1):47.e1-8
  • Kim I, Rajaraman S, Antani SK. Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image Modalities. Diagnostics (Basel). 2019 Apr 3;9(2). pii: E38. doi: 10.3390/diagnostics9020038.
  • Rajaraman S, Candemir S, Kim I, Thoma GR, Antani SK. Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs. Appl. Sci. 2018, 8, 1715.
  • Moorhead R, Johnson C, Munzner T, Pfister H, Rheingans P, Yoo TS. Visualization Corner: Visualization Research Challenges: A Report Summary. IEEE Computing in Science and Engineering. 2006 Jul-Aug;8(4):66-73. DOI: 10.1109/MCSE.2006.77.
  • Munzner T, Johnson C, Moorhead R, Pfister H, Rheingans P, Yoo TS. Visualization Viewpoints: NIH-NSF Visualization Research Challenges Report Summary. IEEE Computer Graphics and Applications. 2006 Mar-Apr;26(2):20-24.
  • Rajaraman S, Antani SK, Xue Z, Candemir S, Jaeger S, Thoma GR. Visualizing abnormalities in chest radiographs through salient network activations in Deep Learning. Proc. IEEE Life Sciences Conference (LSC), Sydney, Australia, 2017. pp. 71-74, DOI:10.1109/LSC.2017.8268146.
  • Rajaraman S, Candemir S, Thoma G, Antani SK. Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs. Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 109500S (13 March 2019); doi: 10.1117/12.2512752.
  • Yoo TS, Bliss D, Lowekamp B, Chen D, Murphy GE, Narayan K, Hartnell LM, Do T, Subramaniam S. Visualizing cells and humans in 3D: Biomedical image analysis at nanometer and meter scales. IEEE Computer Graphics and Applications. 2012 Sep-Oct;32(5):39-49. DOI: 10.1109/MCG.2012.68.
  • Rajaraman S, Antani SK, Jaeger S. Visualizing Deep Learning Activations for Improved Malaria Cell Classification. Proceedings of The First Workshop in Medical Informatics and Healthcare (MIH 2017), Proceedings of Machine Learning Research (PMLR), v. 69, p. 40-47.
  • Du H, Yoo TS. Visualizing Indexing Similarity Over the NLM Medical Subject Headings (MeSH). IEEE InfoVis [Information Visualization] 2007 Conference; 2007 Oct 28-30; Sacramento, California.
  • Manning JD, Marciano BE, Cimino J. Visualizing the data - using lifelines2 to gain insights from data drawn from a clinical data repository. AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:168-72. eCollection 2013.
  • Yoo TS, Silver D, Correa C, Chen D, Moran A. Volumetric Bodies - the Exhibition. IEEE VisWeek 2009 Interactive Demo & Art Exhibit; 2009 Oct 12-16; Atlantic City, New Jersey.
  • Fung KW. Web Interface: I-Magic SNOMED-CT to ICD-10-CM code mapping tool.
  • Bodenreider O. Web Interface: RxMix
  • Bodenreider O. Web Interface: RxNav
  • Xue Z, Antani S, Long LR, Thoma GR. Web-accessible Cervigram Automatic Segmentation Tool SPIE Medical Imaging Conference. March 2010;7628
  • Zhu Y, Huang X, Lopresti D, Long R et al. Web-based Multi-observer Segmentation Evaluation Tool Proc. 21st IEEE CBMS. Jyvaskyla, Finland. June 2008:167-9
  • Zhu Y, Long LR, Antani S, Xue Z, Thoma GR. Web-based STAPLE for Quality Estimation of Multiple Image Segmentations Poster at 20th NIH Research Festival (IMAG-12), September 2007, National Institutes of Health
  • Demner-Fushman D, Chapman WW, McDonald CJ. What can natural language processing do for clinical decision support? J Biomed Inform. 2009 Oct;42(5):760-72. doi: 10.1016/j.jbi.2009.08.007. Epub 2009 Aug 13.
  • McDonald CJ, Overhage JM, Dexter P, Takesue B, Suico JG. What is done, what is needed and what is realistic to expect from medical informatics standards. Int J Med Inform. 1998 Feb;48(1-3):5-12.
  • Linte CA, Yaniv Z. When change happens: computer assistance and image guidance for minimally invasive therapy. Healthcare Technology Letters. 2014 Mar 25;1(1):2-5.
  • Moallem G, Jaeger S, Poostchi M, Palaniappan N, Yu H, Silamut K, Maude RJ, Antani SK, Thoma GR. White Blood Cell Detection and Segmentation in Microscopy Images of Thin Blood Smears [Poster]. NIH Research Festival, Poster, 2017
  • Fung KW, Hole WT, Srinivasan S. Who is using the UMLS and how - insights from the UMLS user annual reports. AMIA Annu Symp Proc. 2006:274-8.
  • Kayaalp M. Why Do We Need Probabilistic Approaches to Ontologies and the Associated Data? AMIA Annu Symp Proc. 2005:1005
  • Xue Z, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Window classification of brain CT images in biomedical articles. AMIA Annu Symp Proc. 2012;2012:1023-9. Epub 2012 Nov 3.

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