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  • 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.
  • 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.
  • Almubarak H, Guo P, Stanley RJ, Long LR, Antani SK, Thoma GR. Algorithm Enhancements for Improvement of Localized Classification of Uterine Cervical Cancer Digital Histology Images. in Handbook of Research on Emerging Perspectives on Healthcare Information Systems and Informatics,. IGI Global (Hershey, PA).
  • 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
  • McDonald CJ. Top LOINC Codes – Orders and Observations
  • Jaeger S. Malaria Datasets
  • McDonald CJ, Maglott D, Abhyankar S, Goodwin R, Kanduru A, Lu S, Lynch P, Vreeman D, Wang Y, Wood G. HL7 Version 2.5.1 Implementation Guide: Lab Results Interface (LRI), Release 1, STU Release 4. US Realm, Chapter 5, Clinical Genomics Results Reporting. Published for May 2017 Ballot.
  • Jaeger S. Chest X-ray Screening System: Segmentation Module – v3
  • Borovikov E, Vajda S. FaceMatch: real-world face image retrieval. In: Santosh K., Hangarge M., Bevilacqua V., Negi A. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2016. Communications in Computer and Information Science, vol 709. Springer, Singapore. 405-419.
  • Borovikov E, Vajda S, Lingappa G, Bonifant MC. Parallel Computing in Face Image Retrieval: Practical Approach to the Real-World Image Search. Multi-Core Computer Vision and Image Processing for Intelligent Applications. IGI Global, 2017. 155-189. Web. 12 Sep. 2016. doi:10.4018/978-1-5225-0889-2.ch006
  • 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.
  • Folio, L, Sigelman, J, Wang, Y, Lu, P, Antani SK, Jaeger S. Automatic Identification and Classification of Tuberculosis Findings on Chest Radiographs for Global Surveillance Programs [Abstract]. Annual Meeting of the American Roentgen Ray Society (ARRS)
  • 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.
  • Antani SK. Tuberculosis Chest X-ray Image Data Sets
  • Linte CA, Yaniv Z, Fallavollita P, Abolmaesumi P, Holmes DR III, editors. Augmented Environments for Computer-Assisted Interventions 2014: 9th International AE-CAI Workshop. Held in conjunction with MICCAI 2014. 2014 Sep 14; Boston. Lecture Notes in Computer Science, vol. 8678. Springer; 2014. 149 pages.
  • 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.
  • Guler, O, Yaniv Z. A tutorial on image guided therapy. Chapter 11 in: Birkfellner W, editor. Applied Medical Image Processing, Second Edition: A Basic Course. London: CRC Press; 2014. ISBN: 9781466555570.
  • 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.
  • Bodenreider O. Disease Ontologies In: Dubitzky W, Wolkenhauer O, Cho K-H, Yokota H, editors. Encyclopedia of Systems Biology: Springer; 2013. p. 578-581.
  • Gordon E, Waisberg M, Ersoy I, Pena M, Jaeger S, Pierce S. The eye as a window to investigate the CNS microvasculature during a dynamic malaria infection (Abstract). Third Annual Seminar on Molecular Imaging of Infectious Diseases, September 23, 2013.
  • Cimino JJ. Tutorial: meeting data access and reporting requirements with the NIH’s Biomedical Translational Research Information System (BTRIS).
  • Fung K. Dataset: SNOMED CT to ICD-10 Cross Map
  • Fung KW, Bodenreider O. Knowledge representation and ontologies. Richesson RL, Andrews JE (Eds.). Clinical Research Informatics, Health Informatics, DOI 10.1007/978-1-84882-448-5_14, Springer-Verlag London Limited Publishing 2012.
  • Bodenreider O. API: Prescribable
  • Fung K. Dataset: SNOMED CT to ICD-10-CM Map
  • McDonald CJ, Vreeman D, Goodwin RM. Dataset: LOINC Top 2000+ Lab Observations and Mapper's Guide
  • Bodenreider O. Web Interface: RxMix
  • Fung KW. Dataset: ICD-9-CM to SNOMED CT Map
  • Fung KW. Web Interface: I-Magic SNOMED-CT to ICD-10-CM code mapping tool.
  • Abhyankar S, Goodwin RM, Zuckerman A, McDonald CJ. Dataset: newborn screening results annotated example HL7 electronic message guidance (v 5.2).
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: Newborn screening LOINC panel.
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: newborn screening LOINC codes (AHIC panel).
  • McDonald CJ, Abhyankar S, Taft L. Dataset: common units of measure - subset of the Unified Code for Units of Measure.
  • Bodenreider O, Peters L, Nguyen T. RxNav: Browser and Application Programming Interfaces for Drug Information Sources [Abstract]. AMIA Annu Symp Proc 2011:2129
  • McDonald C, Vreeman D, Goodwin RM. Dataset: LOINC Top 300+ Lab Orders
  • Fung KW. Dataset: Nursing Problem List Subset of SNOMED CT
  • Fung KW. API: RxTerms
  • Fung KW. Dataset: SNOMED CT route of administration subset.
  • Neve L, Long LR, Antani SK. Software: Boundary Marking Tool 2 (BMT2)
  • Lowekamp B, Chen D, Santoroski J, Yaniv Z, Yoo TS. Software: SimpleITK.
  • Fung KW. Dataset: CORE problem list of SNOMED CT.
  • 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.
  • Bodenreider O. Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support. Geissbuhler A, Kulikowski C, editors. IMIA Yearbook of Medical Informatics 2008. Methods Inf Med, 2008. 47(Suppl 1): p. 67-79.
  • Bodenreider O. Semantic Web for Translational Biomedicine: Two Pilot Experiments [Abstract]. Proc. MIA Summit on Translational Bioinformatics 2008:141
  • McDonald C. Dataset: LOINC Panels and Forms file
  • Zeng K, Bodenreider O. Experience in Integrating Large RDF-based Biomedical Knowledge Resources with Oracle [Abstract]. Proc 8th International Oracle Life Sciences User Group Meeting 2007:(electronic proceedings: http://www.olsug.org/wiki/images/d/d1/Kelly_Zheng.pdf)

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