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  • Lu C, Humphrey SM, Rogers W, Browne AC. Development of a semantic type based WSD tool [Abstract]. AMIA Annu Symp Proc 2009:943.
  • Lussier YA, Bodenreider O. Clinical Ontologies for Discovery Applications In: Baker CJO, Cheung K-H, editors. Semantic Web: Revolutionizing knowledge discovery in the life sciences. New York: Springer; 2007. p. 101-119.
  • McCray AT, Bodenreider O. A Conceptual Framework for the Biomedical Domain The Semantics of Relationships: An Interdisciplinary Perspective. Boston: Kluwer Academic Publishers. 2002;:181-198.
  • McDonald C, Vreeman D, Goodwin RM. Dataset: LOINC Top 300+ Lab Orders
  • McDonald C. Dataset: LOINC Panels and Forms file
  • McDonald CJ, Maglott D, Abhyankar S, Goodwin RM, Kanduru A, Lu S, Lynch P, Vreeman D, Wang Y, Wood G. US Realm, Chapter 14, Use Case – Clinical Genomics Code Systems. in HL7 Version 2.5.1 Implementation Guide: Lab Results Interface (LRI), DTSU3. HL7 International (Ann Arbor).
  • McDonald CJ, Maglott D, Abhyankar S, Goodwin RM, Kanduru A, Lu S, Lynch P, Vreeman D, Wang Y, Wood G. US Realm, Chapter 5, Use Case – Clinical Genomics Results Reporting in HL7 Version 2.5.1 Implementation Guide: Lab Results Interface (LRI), DTSU3. HL7 International (Ann Arbor).
  • McDonald CJ. Logical Observation Identifiers Names and Codes for In Vitro Diagnostic Test; Guidance for Industry and Food and Drug Administration Staff. Silver Spring, Md: Center for Devices and Radiological Health, FDA, 2018.
  • McDonald CJ. Top LOINC Codes – Orders and Observations
  • McDonald CJ, Tang PC, Hripcsak G. Electronic Health Record Systems. . In: Shortliffe EH, Cimino JJ, editors. Biomedical Informatics: Computer Applications in Healthcare and Biomedicine 4th ED [Internet]. London: Springer London; 2014. p. 391–421. Available from: http://link.springer.com/10.1007/978-1-4471-4474-8.
  • McDonald CJ, Vreeman D, Goodwin RM. Dataset: LOINC Top 2000+ Lab Observations and Mapper's Guide
  • McDonald CJ, Abhyankar S, Taft L. Dataset: common units of measure - subset of the Unified Code for Units of Measure.
  • McDonald CJ, Hill G. IUPAC Silver Book- Compendium of Terminology and Nomenclature of Properties in Clinical Laboratory Sciences - Chapter 8 - Kinds-of-Quantity of Dimension One. SI Unit 1. Royal Society of Chemistry; 2009. doi:10.1039/978178262245.1-00075.
  • Mork JG, Aronson AR. The Medical Text Indexer (MTI) system for indexing biomedical literature. book chapter submitted to monograph Indexing Specialities: Medicine. Edited by L. Pilar Wyman. Medford, NJ: Information Today, Inc., in association with the American Society of Indexers, Phoenix, AZ. 2010.
  • O'Brien JF, Yoo TS, editors. Modern Techniques for Implicit Modeling. Tutorial Notes for ACM SIGGRAPH 2005: the 32nd International Conference on Computer Graphics and Interactive Techniques; 2005 Jul 31-Aug 4; Los Angeles. 300 pages.
  • Rajaraman S, Candemir S, Xue Z, Alderson P, Thoma G, Antani SK. A Novel Stacked Model Ensemble for Improved TB Detection in Chest Radiographs. In Santosh KC et al. (Eds.). Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques. (pp. 1-26). New York, NY: CRC Press, Taylor & Francis Group.
  • Simpson MS, Demner-Fushman D. Biomedical Text Mining: A Survey of Recent Progress. In Charu C. Aggarwal and ChengXiang Zhai, Editors. Mining Text Data. (Springer) 2011.
  • Sneiderman C, Rosemblat G, Bray B, Fiszman M, Rindflesch TC. Matching Clinical Observations in Published Cardiology Case Reports to LOINC [Abstract]. AMIA Annu Symp Proc; 2009 Nov 14-18; San Francisco. p. 1036.
  • Tang P, McDonald CJ. Computer-Based Patient-Record Systems - Chapter 9. In Shortliffe E, Perreault L, eds. Medical Informatics. New York: springer. 2001:327-358. DOI: 10.1007/978-0-387-21721-5_9.
  • Thamizhvani TR, Lakshmanan S, Rajaraman S. Computer Aided Diagnosis of Skin Tumours from Dermal Images. Hemanth D., Smys S. (eds) Computational Vision and Bio Inspired Computing. Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham
  • Thoma GR. Public Access to Anatomic Images Chapter in: Medical Informatics: Knowledge Management and Data Mining in Biomedicine
  • Yang F, Yu H, Silamut K, Maude RJ, Jaeger S, Antani SK. Smartphone-Supported Malaria Diagnosis Based on Deep Learning. In: Suk HI., Liu M., Yan P., Lian C. (eds) Machine Learning in Medical Imaging. MLMI 2019. Lecture Notes in Computer Science, vol 11861. Springer, Cham.
  • Yaniv Z. Registration for Orthopaedic Interventions. Chapter 3 in: Zheng G, Li S, editors. Computational Radiology for Orthopaedic Interventions: Lecture Notes in Computational Vision and Biomechanics. Springer International Publishing; c2016. p. 41-70.
  • Yaniv Z, Linte CA. Applications of Augmented Reality in the Operating Room. Chapter 19 in Fundamentals of Wearable Computers and Augmented Reality, 2nd ed. CRC Press, 2015.
  • Yaniv Z, Holmes DR III, editors. Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling. Proceedings of conference held 2014 Feb 15-20; San Diego. Proc. SPIE 9036; 2014 Mar 12. 764 pages. ISBN: 9780819498298.

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