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  • Lin J, Demner-Fushman D. "Bag of words" is not enough for strength of evidence classification AMIA Annu Symp Proc. 2005:1031.
  • Yu Z, Nguyen T, Dhombres F, Johnson T, Bodenreider O. "Hybrid Topics" - Facilitating the Interpretation of Topics Through the Addition of MeSH Descriptors to Bags of Words. Stud Health Technol Inform. 2017;245:662-666.
  • Antani S, Long LR, Thoma GR. A Biomedical Information System for Combined Content-Based Retrieval of Spine X-ray Images and Associated Text Information 3rd Indian Conference on Computer Vision, Graphics, and Image Processing. 2002 Dec.
  • 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
  • Karargyris A, Candemir S, Jaeger S, Xue Z, Antani SK, Thoma GR. A Combined Approach for Lung Boundary Segmentation of Chest X-Ray Images [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • McCray AT, Bodenreider O. A Conceptual Framework for the Biomedical Domain The Semantics of Relationships: An Interdisciplinary Perspective. Boston: Kluwer Academic Publishers. 2002;:181-198.
  • You D, Antani SK, Demner-Fushman D, Thoma GR. A Contour-based Shape Descriptor For Biomedical Image Classification and Retrieval. Proceedings of SPIE 2014, Vol. 9021, Document Recognition and Retrieval XXI. February 2014;9021.
  • Demner-Fushman D, Antani S, Kalpathy-Cramer J, Müller H. A decade of community-wide efforts in advancing medical image understanding and retrieval. Comput Med Imaging Graph. 2015 Jan;39:1-2. doi: 10.1016/j.compmedimag.2014.12.002.
  • Winnenburg R, Bodenreider O. A framework for assessing the consistency of drug classes across sources. J Biomed Semantics. 2014 Jul 9;5:30. doi: 10.1186/2041-1480-5-30. eCollection 2014.
  • 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, Peters LB. A graph-based approach to auditing RxNorm. J Biomed Inform. 2009 Jun;42(3):558-70. doi: 10.1016/j.jbi.2009.04.004. Epub 2009 Apr 24.
  • Cameron D, Bodenreider O, Yalamanchili H, Danh T, Vallabhaneni S, Thirunarayan K, Sheth AP, Rindflesch TC. A graph-based recovery and decomposition of Swanson's hypothesis using semantic predications. J Biomed Inform. 2013 Apr;46(2):238-51. doi: 10.1016/j.jbi.2012.09.004. Epub 2012 Sep 28.
  • Kim E, Huang X, Tan G, Long LR, Antani S. A Hierarchical SVG Image Abstraction Layer for Medical Imaging Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications. San Diego, California. March 2010;7628
  • Kilicoglu H, Rogers W. A Hybrid System for Extracting Chemical-Disease Relationships from Scientific Literature. 2015. BioCreative 5 Proceedings.
  • 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
  • Rahman MM, Antani SK, Thoma GR. A learning-based similarity fusion and filtering approach for biomedical image retrieval using SVM classification and relevance feedback. IEEE Trans Inf Technol Biomed. 2011 Jul;15(4):640-6. doi: 10.1109/TITB.2011.2151258. Epub 2011 Jun 16.
  • Krainak DM, Long LR, Thoma GR. A Method of Content-Based Retrieval for a Spinal X-Ray Image Database Proc. of SPIE Medical Imaging: PACS and Integrated Medical Systems. 2002 Feb;4685.
  • You D, Antani SK, Demner-Fushman D, Thoma GR. A MRF Model for Biomedical Image Segmentation. CBMS 2014. May 2014.
  • Rance B, Doughty E, Demner-Fushman D, Kann MG, Bodenreider O. A mutation-centric approach to identifying pharmacogenomic relations in text. J Biomed Inform. 2012 Oct;45(5):835-41. doi: 10.1016/j.jbi.2012.05.003. Epub 2012 Jun 7.
  • Xu T, Xin C, Long LR, Antani SK, Xue Z, Kim E, Huang X. A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation. Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015, LNCS 9352, pp. 26–35, 2015. DOI: 10.1007/978-3-319-24888-2 4.
  • Cheng B, Stanley RJ, Antani SK, Thoma GR. A Novel Computational Intelligence-based Approach For Medical Image Artifacts Detection Proceedings of the 2010 International Conference on Artificial Intelligence and Pattern Recognition. Orlando, FL. July 2010:113-20
  • Rajaraman S, Candemir S, Xue Z, Alderson P, Kohli M, Abuya J, Thoma GR, Antani SK. A novel stacked generalization of models for improved TB detection in chest radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC 2018), Honolulu, Hawaii, 2018. pp. 718-721.
  • Rajaraman S, Candemir S, Xue Z, Alderson P, Thoma G, Antani SK. A Novel Stacked Model Ensemble for Improved TB Detection in Chest Radiographs. In Santosh KC et al. (Eds.). Medical Imaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques. (pp. 1-26). New York, NY: CRC Press, Taylor & Francis Group.
  • 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.
  • 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/).

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