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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
  • Zweigenbaum P, Demner-Fushman D. Advanced Literature-Mining Tools. In Edwards D, Stajich J, and Hansen D. (Editors). Bioinformatics: Tools and Applications. Springer 2009.
  • 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
  • Kilicoglu H. Software: Bio-SCoRes
  • Kilicoglu H. Dataset: Sortal Anaphora Dataset
  • 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.
  • Cohen KB, Demner-Fushman D. Biomedical Natural Language Processing John Benjamins Publishing Company, 2014. DOI: 10.1075/nlp.11
  • Kayaalp M, Dodd Z, Browne AC, Sagan, P, McDonald CJ. Software: NLM-Scrubber
  • 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.
  • 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.
  • McDonald C, Vreeman D, Goodwin RM. Dataset: LOINC Top 300+ Lab Orders
  • 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.
  • Fung KW. Dataset: Nursing Problem List Subset of SNOMED CT
  • 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.
  • 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.
  • Hristovski D, Kastrin A, Peterlin B, Rindflesch TC. Combining Semantic Relations and DNA Microarray Data for Novel Hypotheses Generation Lecture Notes in Bioinformatics. Springer
  • Zweigenbaum P, Demner-Fushman D. Bioinformatics: Tools and Applications. Springer 2009.
  • 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.
  • McDonald C. Dataset: LOINC Panels and Forms file
  • Fontelo P. Web Interface: BabelMeSH.
  • Fontelo P. Web Interface: Pico (Patient, Intervention, Comparison, and Outcome) Linguist.
  • 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.
  • Johnson CR, Moorhead RM, Munzner TM, Pfister H, Rheingans P, Yoo TS. NIH-NSF Visualization Research Challenges Report. IEEE Press.
  • Aronson AR. API: Semantic Knowledge Representation
  • Ackerman MJ. Anatomy in the Digital Age. In: Rifkin BA, Ackerman MJ. Human Anatomy: From the Renaissance to the Digital Age. 2006 May 2. New York: Abrams. p. 318-329.
  • Benjamin A. Rifkin, Ackerman MJ. Human Anatomy (From the Renaissance to the Digital Age). New York: Harry N. Abrams; 2006. 344 pages.
  • Yoo TS. 3D Medical Informatics: Information Science in Multiple Dimensions. In: Chen H, Fuller SS, Friedman C, Hersh W, editors. Medical Informatics: Knowledge Management and Data Mining in Biomedicine. New York: Springer Science. p. 333-58.
  • Yoo TS. The Insight Toolkit: An Open-Source Initiative in Data Segmentation and Registration. In: Johnson C, Hansen C, editors. The Visualization Handbook. Amsterdam: Elsevier; 2005. p. 733-48.
  • Thoma GR. Public Access to Anatomic Images Chapter in: Medical Informatics: Knowledge Management and Data Mining in Biomedicine
  • Azuaje F, Wang H, Bodenreider O. Ontology-driven Similarity Approaches to Supporting Gene Functional Assessment Proceedings of the ISMB'2005 SIG meeting on Bio-ontologies 2005:9-10
  • 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.
  • Ackerman MJ. Visible Human Project. McGraw-Hill 2004 Yearbook of Science & Technology. New York: McGraw-Hill. 2004. p. 369-72.
  • Bodenreider O. Web Interface: RxNav
  • Yoo TS, editor. Insight Into Images: Principles and Practice for Segmentation, Registration, and Image Analysis. Natick, Massachusetts: A.K. Peters; 2004 Aug 16. 410 pages.
  • 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.
  • Thoma GR, Razi A, Seamans J, Strupp-Adams A, Edwards L, Gao J, Ledoux MT. Dataset: AnatQuest
  • 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.
  • Yoo TS, Machiraju R, editors. From Transfer Functions to Level Sets: Advanced Topics in Volume Image Processing. Tutorial Notes for IEEE Visualization 2001; 2001 Oct 21-26; San Diego. 100 pages.
  • Yoo TS, Machiraju R, editors. Image Processing for Volume Graphics. Tutorial Notes for ACM SIGGRAPH 2001; 2001 Aug 12-17; Los Angeles. 333 pages.
  • Bodenreider O, Bean CA. Relationships Among Knowledge Structures: Vocabulary Integration Within a Subject Domain. In: Bean A, Green R, editors. Relationships in the organization of knowledge. Springer; 2001. pp. 81-98.
  • Ackerman MJ, Banvard RA, guest editors. Computerized Medical Imaging and Graphics;24(3). Elsevier; 2000.
  • Yoo TS, Machiraju R, editors. Image Processing for Volume Graphics and Analysis. Tutorial Notes for IEEE Visualization 2000; 2000 Oct 8-13; Salt Lake City. 125 pages.
  • Lowekamp B, Yoo TS. Software: Insight Toolkit (ITK): Software for Image Segmentation and Registration.
  • Ackerman MJ. Dataset: Visible Human Project reference data sets.