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  • Kilicoglu H, Rosemblat G, Malicki M, Ter Riet G. Automatic recognition of self-acknowledged limitations in clinical research literature. J Am Med Inform Assoc. 2018 Jul 1;25(7):855-861. doi: 10.1093/jamia/ocy038.
  • Fiszman M, Demner-Fushman D, Kilicoglu H, Rindflesch TC. Automatic summarization of MEDLINE citations for evidence-based medical treatment: a topic-oriented evaluation. J Biomed Inform. 2009 Oct;42(5):801-13. doi: 10.1016/j.jbi.2008.10.002. Epub 2008 Nov 5.
  • Liu F, Fontelo P. Automatic translations of MEDLINE abstracts using Google Translate. AMIA Annu Symp Proc [Proceedings of the American Medical Informatics Association Annual Symposium]; 2010 Nov 13-17; Washington DC. p. 1148.
  • Liu F, Fontelo P, Ackerman MJ. BabelMeSH2 and PICO Linguist2: Combined Language Search for MEDLINE/PubMed. AMIA Annu Symp Proc [Proceedings of the American Medical Informatics Association Annual Symposium]; 2007 Nov 10-14; Chicago. p. 1036.
  • 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
  • Hristovski D, Dinevski D, Kastrin A, Rindflesch TC. Biomedical question answering using semantic relations. BMC Bioinformatics. 2015 Jan 16;16:6. doi: 10.1186/s12859-014-0365-3.
  • Kilicoglu H. Biomedical text mining for research rigor and integrity: tasks, challenges, directions. Brief Bioinform. 2017 Jun 13. doi: 10.1093/bib/bbx057.
  • 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.
  • Workman TE, Fiszman M, Hurdle JF, Rindflesch TC. Biomedical text summarization to support genetic database curation: using Semantic MEDLINE to create a secondary database of genetic information. J Med Libr Assoc. 2010 Oct;98(4):273-81. doi: 10.3163/1536-5050.98.4.003.
  • Zeng-Treitler Q, Kim H, Rosemblat G, Kesselman A. Can multilingual machine translation help make medical record content more comprehensible to patients? Stud Health Technol Inform. 2010;160(Pt 1):73-7.
  • Morid MA, Fiszman M, Raja K, Jonnalagadda SR, Del Fiol G. Classification of clinically useful sentences in clinical evidence resources. J Biomed Inform. 2016 Apr;60:14-22. doi: 10.1016/j.jbi.2016.01.003. Epub 2016 Jan 13.
  • Logan RA. Clinical, Classroom or Personal Education: Attitudes About Health Literacy J Med Libr Assoc. 2007 Apr;95(2):127-37, e48
  • Liu F, Fontelo P, Fiszman M. Clinically-Weighted Terms in the Evaluation of MeSH Translations: BabelMeSH in Portuguese as a Model. AMIA Annu Symp Proc; 2008 Nov 8-12; Washington DC. p. 1027.
  • Zhang, H, Fiszman M, Shin D, Wilkowski B, Rindflesch TC. Clustering cliques for graph-based summarization of the biomedical research literature. BMC Bioinformatics 14:182.
  • Jimeno-Yepes A, McInnes BT, Aronson AR. Collocation analysis for UMLS knowledge-based word sense disambiguation. BMC Bioinformatics. 2011 Jun 9;12 Suppl 3:S4. doi: 10.1186/1471-2105-12-S3-S4.
  • Fung KW, Bodenreider O, Aronson AR, Hole WT, Srinivasan S. Combining Lexical and Semantic Methods of Inter-terminology Mapping Using the UMLS. Stud Health Technol Inform. 2007;129(Pt 1):605-9.
  • Yepes AJ, Prieur-Gaston E, Névéol A. Combining MEDLINE and publisher data to create parallel corpora for the automatic translation of biomedical text. BMC Bioinformatics. 2013 Apr 30;14:146. doi: 10.1186/1471-2105-14-146.
  • Hristovski D, Kastrin A, Peterlin B, Rindflesch TC. Combining Semantic Relations and DNA Microarray Data for Novel Hypotheses Generation Lecture Notes in Bioinformatics. Springer
  • 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.
  • Pathak J, Peters L, Chute CG, Bodenreider O. Comparing and evaluating terminology services application programming interfaces: RxNav, UMLSKS and LexBIG. J Am Med Inform Assoc. 2010 Nov-Dec;17(6):714-9. doi: 10.1136/jamia.2009.001149.
  • 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.
  • Kilicoglu H, Rosemblat G, Fiszman M, Rindflesch TC. Constructing a semantic predication gold standard from the biomedical literature. BMC Bioinformatics. 2011 Dec 20;12:486. doi: 10.1186/1471-2105-12-486.
  • Cameron D, Kavuluru R, Rindflesch TC, Sheth AP, Thirunarayan K, Bodenreider O. Context-driven automatic subgraph creation for literature-based discovery. J Biomed Inform. 2015 Apr;54:141-57. doi: 10.1016/j.jbi.2015.01.014. Epub 2015 Feb 7.
  • Winnenburg R, Bodenreider O. Coverage of human phenotypes in SNOMED CT [Poster]. SNOMED CT Implementation Showcase, 2014.

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