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  • 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, Fontelo P, Ackerman MJ. XO Computer Application to Medical Science Education. J International Assoc of Medical Science Educators: Special Issue Poster Abstracts of the 12th IAMSE Annual Meeting (2008 Jul 25-29; Salt Lake City);18(supplement 2):100.
  • Sorbello A, Ripple AM, Bodenreider O. A pilot study to support prospective detection of emerging adverse drug events [Poster]. AMIA Annu Symp Proc 2015:1699.
  • Srinivasan B, Antani S, Demner-Fushman D, Thoma GR. Identification and Segmentation of Multi-Panel Images in Biomedical Journal Articles [Poster]. Poster at 20th NIH Research Festival (BIOINFO-1), September 2007, National Institutes of Health
  • 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
  • Tolentino H, Matters M, Walop W, Law B, Tong W, Liu F, Fontelo P, Kohl K, Payne D. Concept Negation in Free Text Components of Vaccine Safety Reports. AMIA Annu Symp Proc [Proceedings of the American Medical Informatics Association Annual Symposium]; 2006 Nov 11-15; Washington DC. p. 1122.
  • Tolentino HD, Liu F, Sagaram D, Kamadjeu R, Fontelo P, Kohl K, Payne D. Creating a Vaccine Adverse Event Ontology for Public Health. AMIA Annu Symp Proc [Proceedings of the American Medical Informatics Association Annual Symposium]; 2005 Oct 22-26; Washington DC. p. 978.
  • Tom O, Fontelo P, Liu F. Do Computer-generated Summaries, 'The Bottom Line (TBL)' Accurately Reflect Published Journal Abstracts? AMIA Annu Symp Proc; 2007 Nov 10-14; Chicago. p. 1135.
  • Tse T, Zarin D, Williams R, Ide N. The role and importance of clinical trial registries and results databases In: Gallin JI, Ognibene FP, eds, Principles and Practice of Clinical Research. 3rd ed. Amsterdam: Academic Press; 2012: 171-81.
  • Van Der Volgen J, Harris BR, Demner-Fushman D. Analysis of Consumer Health Questions for Development of Question-Answering Technology [Poster]. Proceedings of One HEALTH: Information in an Interdependent World, the 2013 Annual Meeting and Exhibition of the Medical Library Association (MLA), 2013.
  • Wang Y, Lynch P, Kanduru A, Hook J, Mericle L, Ludet C, Vreeman D, McDonald CJ. LHC-Forms and Related Widgets for Capturing and Tuning Health Data [Poster] AMIA Annual Symposium, Chicago IL
  • Warner HR, Sittig DF (Interviewer and Editor), Ash JS (Editor), Goodwin RM (Editor). Founder of the HELP System and the Utah Medical Informatics Program: 2005 Interview of Homer R. Warner, Sr. Conversations with Medical Informatics Pioneers: An oral history project.
  • Williams R, Tse T. ClinicalTrials.gov: A public database of clinical research. Presented at: American Public Health Association 137th Annual Meeting and Expo; November 2009; Philadelphia, PA.
  • Williams R, Tse T, Zarin D. Characterizing sponsor-imposed restrictions on disclosing results of clinical trials. Presented at: Sixth International Congress on Peer Review and Biomedical Publication; September 2009; Vancouver, BC, Canada.
  • Williams RJ. Tutorial: ClinicalTrials.gov: Registration and Results Submission Requirements
  • Winnenburg R, Bodenreider O. Coverage of human phenotypes in SNOMED CT [Poster]. SNOMED CT Implementation Showcase, 2014.
  • Xue Z, Bryant B, Long LR, Sari-Sarraf H, Thoma GR, Wachtel M. A Client-Server Tool for Automatic Fast GPU-based Detection of Squamous Epithelium Tissue Regions in Histology Images [Poster]. RSNA 2014. Chicago, USA, Nov 30-Dec 5, 2014
  • Xue Z, Jaeger S, Karargyris A, Candemir S, Antani SK, Long LR, Thoma GR, McDonald CJ. A System for Automated Screening for Tuberculosis using Digital Chest X-rays for Resources-Constrained Regions [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • Yang F, Poostchi M, Silamut K, Maude RJ, Jaeger S, Thoma G. Automated Parasite Classification of Malaria on Thick Blood Smears. ASTMH 67th Annual Meeting, New Orleans, LA, Oct. 28 – Nov. 1, 2018.
  • 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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