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  • Karargyris A, Siegelman J, Tzortzis D, Jaeger S, Candemir S, Xue Z, KC S, Vajda S, Antani SK, Folio L, Thoma GR. Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. Int J Comput Assist Radiol Surg. 2016 Jan;11(1):99-106. doi: 10.1007/s11548-015-1242-x. Epub 2015 Jun 20.
  • Abhyankar S, Demner-Fushman D, Callaghan FM, McDonald CJ. Combining structured and unstructured data to identify a cohort of ICU patients who received dialysis. J Am Med Inform Assoc. 2014 Sep-Oct;21(5):801-7. doi: 10.1136/amiajnl-2013-001915. Epub 2014 Jan 2.
  • Humphrey SM, Névéol A, Gobeil J, Ruch P, Darmoni SJ, Browne AC. Comparing a Rule Based vs. Statistical System for Automatic Categorization of MEDLINE Documents According to Biomedical Specialty. J Am Soc Inf Sci Technol. 2009 Dec 1;60(12):2530-2539.
  • Fung K, Kayaalp M, Callaghan FM, McDonald CJ. Comparison of electronic pharmacy prescription records with manually collected medication histories in an emergency department. Ann Emerg Med. 2013 Sep;62(3):205-11. doi: 10.1016/j.annemergmed.2013.04.014. Epub 2013 May 18.
  • Deserno TM, Antani S, Long LR. Content-based image retrieval for scientific literature access. Methods Inf Med. 2009;48(4):371-80. doi: 10.3414/ME0561. Epub 2009 Jul 20.
  • Long LR, Antani SK, Deserno TM, Thoma GR. Content-based Image Retrieval in Medicine: Retrospective Assessment, State of the Art, and Future Directions Int J Healthc Inf Syst Inform. 2009 Jan 1;4(1):1-16
  • Deserno TM, Long LR, Greenspan H. Content-based Image Retrieval: Major Challenges for Biomedical Applications Intl Journal of Healthcare Information Systems and Informatics. January 2009;4(1):i-iii
  • Demner-Fushman D, Seckman C, Fisher C, Thoma GR. Continual development of a personalized decision support system. Stud Health Technol Inform. 2013;192:175-9.
  • 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
  • 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: Structured Drug Product Label (SPL) Coreference Dataset
  • Roberts K, Kilicoglu H, Fiszman M, Demner-Fushman D. Decomposing consumer health questions. BioNLP 2014.
  • Sornapudi S, Stanley RJ, Stoecker WV, Almubarak H, Long LR, Antani SK, Thoma GR, Zuna R, Frazier SR. Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels. J Pathol Inform. 2018 Mar 5;9:5. doi: 10.4103/jpi.jpi_74_17. eCollection 2018.

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