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  • Bodenreider O, Burgun A. A framework for comparing phenotype annotations of orthologous genes. Stud Health Technol Inform. 2010;160(Pt 2):1309-13.
  • Bodenreider O. Using SNOMED CT in combination with MedDRA for reporting signal detection and adverse drug reactions reporting. AMIA Annu Symp Proc. 2009 Nov 14;2009:45-9.
  • Bodenreider O. Provenance information in biomedical knowledge repositories – A use case. Proceedings of the First International Workshop on the role of Semantic Web in Provenance Management (SWPM 2009), 2009: p. (electronic proceedings: http://ceur-ws.org/Vol-526/).
  • Bodenreider O. Comparing SNOMED CT and the NCI Thesaurus through Semantic Web Technologies Proc. KR-MED 2008
  • Bodenreider O. Ontologies and Data Integration in Biomedicine: Success Stories and Challenging Issues In: Bairoch A, Cohen-Boulakia S, Froidevaux C, editors. Proceedings of the Fifth International Workshop on Data Integration in the Life Sciences (DILS 2008); Berlin Heidelberg New York: Springer; 2008. p. 1-4
  • Bodenreider O, Coban ZH, Doganay MC, Erdem E, Kosucu H. A preliminary report on answering complex queries related to drug discovery using answer set programming. Proceedings of the 3rd International Workshop on Applications of Logic Programming to the (Semantic) Web and Web Services (ALPSWS2008), 2008: p. 85-90 (electronic proceedings: http://ceur-ws.org/Vol-434/).
  • Bodenreider O. Issues in Mapping LOINC Laboratory Tests to SNOMED CT AMIA Annu Symp Proc. 2008 Nov 6:51-5
  • Bodenreider O, Burgun A. Oncologic Pathology in Biomedical Terminologies: Challenges for Data Integration Proc APIII conference on "Anatomic Pathology Informatics and Imaging Support for Translational Medicine", Pittsburgh, Pennsylvania, September 9-12, 2007:Abstract 342.
  • Bodenreider O, Zhang S. Comparing the Representation of Anatomy in the FMA and SNOMED CT AMIA Annu Symp Proc. 2006:46-50
  • Bodenreider O. Lexical, Terminological and Ontological Resources for Biological Text Mining Ananiadou S, McNaught J, editors. Text mining for biology and biomedicine: Artech House; 2006. p. 43-66.
  • Bodenreider O, Burgun A. Linking the Gene Ontology to other biological ontologies Proc ISMB'2005 SIG meeting on Bio-ontologies 2005:17-18
  • Bodenreider O, Aubry M, Burgun A. Non-Lexical Approaches to Identifying Associative Relations in the Gene Ontology Pac Symp Biocomput. 2005:91-102
  • Bodenreider O, Hayamizu TF, Ringwald M, De Coronado S, Zhang S. Of mice and men: aligning mouse and human anatomies. AMIA Annu Symp Proc. 2005:61-5.
  • 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.
  • Borovikov E, Vajda S, Lingappa G, Antani SK, Thoma GR. Face matching for post-disaster family reunification. IEEE International Conference on Healthcare Informatics. Philadelphia, PA, USA. September 2013.
  • 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). http://icbo2016.cgrb.oregonstate.edu/node/354.
  • 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: https://doi.org/10.1145/3148055.3149206
  • 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.
  • Candemir S, Rajaraman S, Thoma GR, Antani SK. Deep Learning for Grading Cardiomegaly Severity in Chest X-rays: An Investigation. Proc. IEEE Life Sciences Conference (LSC 2018), Montreal, Quebec, Canada, 28 – 30 October 2018. pp. 109-113.
  • Candemir S, Antani SK, Xue Z, Thoma GR. Novel Method for Storyboarding Biomedical Videos for Medical Informatics. 30th IEEE International Symposium on Computer-Based Medical Systems
  • Candemir S, Jaeger S, Lin W, Xue Z, Antani SK, Thoma GR. Automatic heart localization and radiographic index computation in chest x-rays. Proc. SPIE. 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 978517. DOI: 10.1117/12.2217209.
  • Candemir S, Antani SK, Jaeger SR, Thoma GR. Lung boundary detection in pediatric chest x-rays. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180Q. (March 17, 2015) doi: 10.1117/12.2081060.
  • Candemir S, Jaeger S, Palaniappan K, Antani SK, Thoma GR. Graph Cut Based Automatic Lung Boundary Detection in Chest Radiographs. 1st Annual IEEE Healthcare Innovation Conference of the IEEE EMBS Houston, Texas USA, 7 - 9 November, 2012.
  • Cardillo E, Hernandez, Jr G, Bodenreider O. Integrating consumer-oriented vocabularies with selected professional ones from the UMLS using Semantic Web Technologies. Proceedings of the eHealth 2010 conference, 2010: p. (paper 10579 - electronic proceedings).
  • Ceccarelli MA, Curioso WH, Liu F, Fontelo P. Do machine translations increase the usefulness of summaries of MEDLINE abstracts? A preliminary study with medical students and physicians in Peru. In: Stud Health Technol Inform [Studies in Health Technology and Informatics] -- MEDINFO 2010: Proceedings of the 13th World Congress on Medical and Health Informatics; 2010 Sep 12-15; Cape Town, South Africa;160:1414.
  • Chachra S, Xue Z, Antani SK, Demner-Fushman D, Thoma GR. Extraction and Labeling High-resolution Images from PDF Documents. Proc. SPIE 9021, Document Recognition and Retrieval XXI, 90210Q (December 27, 2013). doi:10.1117/12.2042336.
  • Chang Y, Antani S, Lee DJ, Gledhill K, Long LR, Christensen P. CBIR of Spine X-ray Images on Inter-vertebral Disc Space and Shape Profiles Proc IEEE CBMS. Jyvaskyla, Finland. June 2008:224-9.
  • Chen D, Morse BS, Lowekamp B, Yoo TS. Hierarchically partitioned implicit surfaces for interpolating large point set models. In: Kim M-S, Shimada K, editors. Advances in Geometric Modeling and Processing. Proceedings of the 4th international conference on Geometric Modeling and Processing (GMP'06); 2006 Jul 26-28; Pittsburgh, Pennsylvania. Lecture Notes in Computer Science 4077. Berlin: Springer-Verlag; 2006. p. 553-62.
  • Chen D, Kakadiaris IA, Miller MJ, Loftin RB, Patrick C. Modeling for Plastic and Reconstructive Breast Surgery. In: Delp SL, DiGioia AM, Jaramaz B, editors. Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI); 2000 Oct 11-14; Pittsburgh. Lecture Notes in Computer Science 1935. Springer; 2000. p. 1040-50. DOI: 10.1007/978-3-540-40899-4_108.
  • Cheng B, Antani SK, Stanley J, Demner-Fushman D, Thoma GR. Automatic segmentation of subfigure image panels for multimodal biomedical document retrieval. Proceeding of: Document Recognition and Retrieval XVIII - DRR 2011, 18th Document Recognition and Retrieval Conference, part of the IS&T-SPIE Electronic Imaging Symposium, San Jose, CA, USA, January 24-29, 2011, Proceedings.

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