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  • Bodenreider O. Web Interface: RxNav
  • Bodenreider O, Aubry M, Burgun A. From Functional Similarity Among Gene Products to Dependence Relations Among Gene Ontology Terms Proc SOFG, 2004:53.
  • Bodenreider O, Azuaje F. Incorporating Ontology-Driven Similarity Knowledge Into Functional Genomics: An Exploratory Study Proceedings of the 2004 IEEE Fourth Symposium on Bioinformatics and Bioengineering (BIBE-2004) 2004:317-324.
  • Bodenreider O, Smith B, Burugn A. The Ontology-Epistemology Divide: A Case Study in Medical Terminology Proceedings of the Third International Conference on Formal Ontology in Information Systems (FOIS2004): IOS Press; 2004. p. 185-195.
  • Bodenreider O, Mitchell JA. Graphical Visualization and Navigation of Genetic Disease Information AMIA Annu Symp Proc. 2003:792.
  • Bodenreider O. Strength in Numbers: Exploring Redundancy in Hierarchical Relations Across Biomedical Terminologies AMIA Annu Symp Proc. 2003:101-5.
  • Bodenreider O. A Semantic Navigation Tool for the UMLS AMIA Annu Symp Proc. 2000;: 971.
  • Bodenreider O. Comment les Usagers Accedent a l'Information Medicale Aux USA: l'Exemple de MEDLINEplus [How Consumers Access Health Information in the USA: The MEDLINEplus Example] Innovation et Technologie en Biologie et Medecine. 2000;21(5):286-90.
  • Bodenreider O, Mitchell JA, McCray AT. Evaluation of the UMLS as a Terminology and Knowledge Resource for Biomedical Informatics Proc AMIA Symp. 2002:61-65.
  • Bodenreider O, Zweigenbaum P. Strategies d'Identification des Noms Propres a Partir de Nomenclatures Medicales Paralleles Traitement Automatique des Langues. 2000;41(3):727-757.
  • Bodenreider O. Circular hierarchical relationships in the UMLS: etiology, diagnosis, treatment, complications and prevention. Proc AMIA Symp. 2001:57-61.
  • Bodenreider O, Zweigenbaum P. Identifying Proper Names in Parallel Medical Terminologies Stud Health Technol Inform. 2000;77:443-7
  • Bodenreider O. Using UMLS semantics for classification purposes. Proc AMIA Symp. 2000:86-90.
  • Botti G, Bodenreider O, Burgun A, Le Beux P, Fieschi M. De la Classification à la Connaissance des Maladies: Une Réflexion à Partir de la Classification Internationale des Maladies [From Classification to Knowledge About Diseases: Thoughts about the International Classification of Diseases] Innovation et Technologie en Biologie et Médecine. 2000;21(5):291-97.
  • Boyce RD, Voss EA, Huser V, Evans L, Reich C, Duke JD, Tatonetti NP, Lorberbaum T, Dumontier M, Hauben M, Wallberg M. LAERTES: An open scalable architecture for linking pharmacovigilance evidence sources with clinical data. Proc International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016).
  • Bryant B, Sari-Sarraf H, Long LR, Antani SK. A Kernel Support Vector Machine Trained Using Approximate Global and Exhaustive Local Sampling. Proceedings of the 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) 2017, Austin, Texas, USA, December 2017. Pp. 267-8 DOI:
  • Burgun A, Mougin F, Bodenreider O. Two approaches to integrating phenotype and clinical information. AMIA Annu Symp Proc. 2009 Nov 14;2009:75-9.
  • Caban JJ, Rosebrock A, Yoo TS. Automatic identification of prescription drugs using shape distribution models. In: 19th IEEE International Conference on Image Processing (ICIP); 2012 Sep 30-Oct 3; Lake Buena Vista, Florida. p. 1005-8. DOI: 10.1109/ICIP.2012.6467032
  • Caban JJ, Yao J, Mollura DJ, Liao D, Yoo TS. Enhancing image analytic tools by fusing quantitative physiological values with image features. In: SIIM [Society for Imaging Informatics in Medicine] 2011 Scientific Abstract Book. SIIM Annual Meeting Learning Track 1 Scientific Sessions: Advanced Visualization: Making Advanced Visualization Tools Work for You; 2011 Jun 2-5; Washington DC/National Harbor, Maryland.
  • Caban JJ, Liao D, Yao J, Mollura DJ, Gochuico B, Yoo TS. Enhancing image classification models with multimodal biomarkers. In: Summers RM, van Ginneken B, editors. Proceedings of SPIE Medical Imaging 2011: Computer-Aided Diagnosis; 2011 Feb 12-17; Lake Buena Vista (Orlando area), Florida;7963:9 pages. DOI: 10.1117/12.878084.
  • Caban JJ, Rheingans P, Yoo TS. An MRF-based Statistical Deformation Model for Morphological Image Analysis. IEEE Computer Society Workshop on Mathematical Models in Biomedical Image Analysis (MMBIA); 2010 Jun 14; San Francisco:31-8.
  • Callaghan F, Jackson MT, Demner-Fushman D, Abhyankar S, McDonald C. Analysis of data that has been extracted from free-text using natural language processing: a likelihood model for misclassification with an application to medical informatics. International Conference on Advances in Interdisciplinary Statistics and Combinatorics (AISC2012), Greensboro, NC, October 2012
  • Callaghan F, Jackson MT, Demner-Fushman D, Abhyankar S, McDonald CJ. NLP-derived information improves the estimates of risk of disease compared to estimates based on manually extracted data alone. 5th International Symposium on Semantic Mining in Biomedicine (SMBM 2012), 2012 Sept 3-4, Zurich, Switzerland.
  • Cameron D, Kavuluru R, Bodenreider O, Mendes PN, Sheth AP, Thirunarayan K. Semantic predications for complex information needs in biomedical literature BIBM 2011:512-519.
  • Campbell JR, Xu J, Fung K. Can SNOMED CT fulfill the vision of a compositional terminology? Analyzing the use case for problem list. AMIA Annu Symp Proc. 2011;2011:181-8. Epub 2011 Oct 22.