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  • 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.
  • 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.
  • Jaeger S. A geomedical approach to Chinese medicine: The origin of the yin-yang symbol. Recent Advances in Theories and Practice of Chinese Medicine, Haixue Kuang (Ed.), ISBN: 978-953-307-903-5, InTech, 2012.
  • Borovikov E, Zavorin I. A multi-stage document processing approach To Arabic text recognition. Guide to OCR for Arabic Scripts. 2012:55-78.
  • 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.
  • Zweigenbaum P, Demner-Fushman D. Advanced Literature-Mining Tools. In Edwards D, Stajich J, and Hansen D. (Editors). Bioinformatics: Tools and Applications. Springer 2009.
  • 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).
  • 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.
  • 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.
  • Demner-Fushman D, Elhadad N. Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing. IMIA Yearbook of Medical Informatics 2016.
  • Lindberg, DAB, Ash JS (Interviewer and Editor), Sittig DF (Interviewer and Editor), Goodwin RM (Editor). At the helm of the world's largest biomedical library: 2005 Interviews with Donald A.B. Lindberg, MD Conversations with Medical Informatics Pioneers: An oral history project.
  • 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.
  • Zweigenbaum P, Demner-Fushman D. Bioinformatics: Tools and Applications. Springer 2009.
  • Cohen KB, Demner-Fushman D. Biomedical Natural Language Processing John Benjamins Publishing Company, 2014. DOI: 10.1075/nlp.11
  • 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.
  • 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.
  • Fontelo P. Can journal abstracts alone be used for clinical decision making [Letter]? BMJ. 2011 Nov 2.
  • Davis D, Sager T, Senn S, Altman D, McDonald CJ. Claims for Glandular Supplements Still Unsubstantiated [LetterToEd] J of Applied Nutrition 1999 vol: 51 pp: 3-4.
  • Zarin D, Tse T. Clarification about ClinicalTrials.gov [Letter]. IRB. 2013 May-Jun;35(3):19.
  • Mamlin BW, Overhage JM, Tierney WM, Dexter PR, McDonald CJ. Clinical decision support within the Regenstrief Medical Record System [Book//chapter] Health Informatics, Berner, Eta S. (Ed.) 2nd ed., 2007, 190-21.
  • 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.
  • Hristovski D, Kastrin A, Peterlin B, Rindflesch TC. Combining Semantic Relations and DNA Microarray Data for Novel Hypotheses Generation Lecture Notes in Bioinformatics. Springer
  • Névéol A, Mork JG, Aronson AR. Comment on 'MeSH-up: effective MeSH text classification for improved document retrieval'. Bioinformatics. 2009 Oct 15;25(20):2770-1; author reply 2772. doi: 10.1093/bioinformatics/btp483. Epub 2009 Aug 11.
  • McDonald CJ, Vreeman DJ, Abhyankar S. Comment on "time to integrate clinical and research informatics" [Letter]. Sci Transl Med. 2013 Apr 3;5(179):179le1. doi: 10.1126/scitranslmed.3005700.
  • Abhyankar S, Vreeman DJ, Westra BL, Delaney CW. Comments on the Use of LOINC and SNOMED CT for Representing Nursing Data [Letter]. Int J Nurs Knowl. 2017 Aug 30. doi: 10.1111/2047-3095.12183. [Epub ahead of print]
  • 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
  • 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.
  • Ackerman MJ, Banvard RA, guest editors. Computerized Medical Imaging and Graphics;24(3). Elsevier; 2000.
  • Long LR, Antani SK, Thoma GR, Deserno TM. Content-based Image Retrieval For Advancing Medical Diagnostics, Treatment, and Education New Technologies for Advancing Healthcare and Clinical Practices. June 2011:1-17.
  • Yaniv Z, Güler Ö, Gong RH. Cost Effective Simulation; A Mixed Reality Approach. Ch. 10 in Mixed and Augmented Reality in Medicine.
  • Thoma GR, Razi A, Seamans J, Strupp-Adams A, Edwards L, Gao J, Ledoux MT. Dataset: AnatQuest
  • Demner-Fushman D, Kilicoglu H. Dataset: CHQA Named Entity Dataset
  • McDonald CJ, Abhyankar S, Taft L. Dataset: common units of measure - subset of the Unified Code for Units of Measure.
  • Fung KW. Dataset: CORE problem list of SNOMED CT.
  • Fung KW. Dataset: ICD-9-CM to SNOMED CT Map
  • McDonald C. Dataset: LOINC Panels and Forms file
  • McDonald CJ, Vreeman D, Goodwin RM. Dataset: LOINC Top 2000+ Lab Observations and Mapper's Guide
  • McDonald C, Vreeman D, Goodwin RM. Dataset: LOINC Top 300+ Lab Orders
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: newborn screening LOINC codes (AHIC panel).
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: Newborn screening LOINC panel.
  • Abhyankar S, Goodwin RM, Zuckerman A, McDonald CJ. Dataset: newborn screening results annotated example HL7 electronic message guidance (v 5.2).
  • Fung KW. Dataset: Nursing Problem List Subset of SNOMED CT
  • Demner-Fushman D, Roberts K. Dataset: Question Decomposition Data
  • Demner-Fushman D, Roberts K. Dataset: Question Type Data
  • Fung KW. Dataset: SNOMED CT route of administration subset.
  • Fung K. Dataset: SNOMED CT to ICD-10 Cross Map
  • Fung K. Dataset: SNOMED CT to ICD-10-CM Map
  • Kilicoglu H. Dataset: Sortal Anaphora Dataset
  • Kilicoglu H. Dataset: Structured Drug Product Label (SPL) Coreference Dataset

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