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  • Tolentino HD, Matters MD, Walop W, Law B, Tong W, Liu F, Fontelo P, Kohl K, Payne DC. A UMLS-based Spell Checker for Natural Language Processing in Vaccine Safety. BMC Med Inform Decis Mak. 2007 Feb 12;7:3. DOI: 10.1186/1472-6947-7-3.
  • Xue Z, Long LR, Antani SK, Neve L, Zhu Y, Thoma GR. A unified set of analysis tools for uterine cervix image segmentation. Comput Med Imaging Graph. 2010 Dec;34(8):593-604. doi: 10.1016/j.compmedimag.2010.04.002. Epub 2010 May 26.
  • Keselman A, Rosemblat G, Kilicoglu H, Fiszman M, Jin H, Shin D, Rindflesch TC. Adapting Semantic Natural Language Processing Technology to Address Information Overload in Influenza Epidemic Management Journal of the American Society for Information Science and Technology (JASIST), 61(12):2531-2543, 2010
  • Castle PE, Jeronimo J, Schiffman M, Herroro R, Rodriguez AC, Bratti MC, Hildesheim A, Wacholder S, Long LR, Neve L, Pfeiffer R, Burk RD. Age-related changes of the cervix influence human papillomavirus type distribution Cancer Res. 2006 Jan 15;66(2):1218-24.
  • Caban JJ, Rheingans P, Yoo TS. An Evaluation of Visualization Techniques to Illustrate Statistical Deformation Models. Computer Graphics Forum. 2011 May-Jun;30(3):821-30. doi:10.1111/j.1467-8659.2011.01931.x.
  • Hu L, Bell D, Antani SK, Xue Z, Yu K, Horning MP, Gachuhi N, Wilson B, Jaiswal MS, Befano B, Long LR, Herrero R, Einstein MH, Burk RD, Demarco M, Gage JC, Wentzensen N, Schiffman M. An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening. J Natl Cancer Inst. 2019 Jan 10. doi: 10.1093/jnci/djy225
  • Sahoo SS, Bodenreider O, Rutter JL, Skinner KJ, Sheth AP. An Ontology-driven Semantic Mash-up of Gene and Biological pathway information: Application to the domain of nicotine dependence J Biomed Inform. 2008 Oct;41(5):752-65. Epub 2008 Feb 29
  • Liu J, Subramanian KR, Yoo TS. An optical flow approach to tracking colonoscopy video. Comput Med Imaging Graph. 2013 Apr;37(3):207-23. doi: 10.1016/j.compmedimag.2013.01.010. Epub 2013 Mar 13.
  • Aronson AR, Lang FM. An overview of MetaMap: historical perspective and recent advances. J Am Med Inform Assoc. 2010 May-Jun;17(3):229-36. doi: 10.1136/jamia.2009.002733.
  • Thoma GR. Anatomic Images for the Public May 2003 Technical Report to the LHNCBC Board of Scientific Counselors.
  • Hanauer DA, Saeed M, Zheng K, Mei Q, Shedden K, Aronson AR, Ramakrishnan N. Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis. J Am Med Inform Assoc. 2014 Sep-Oct;21(5):925-37. doi: 10.1136/amiajnl-2014-002767. Epub 2014 Jun 13.
  • Antani SK, Long RL, Thoma GR. Applying Vertebral Boundary Semantics to CBIR of Digitized Spine X-Ray Images Proc SPIE Electronic Imaging Science and Technology, Conference on Storage and Retrieval Methods and Applications for Multimedia. 2005;5682:98-107.
  • Masseroli M, Kilicoglu H, Lang F-M, Rindflesch TC. Argument-predicate Distance as a Filter for Enhancing Precision in Extracting Predications on the Genetic Etiology of Disease. BMC Bioinformatics. 2006 Jun 8;7:291.
  • Keselman A, Tse T, Crowell J, Browne AC, Ngo L, Zeng Q. Assessing Consumer Health Vocabulary Familiarity: An Exploratory Study J Med Internet Res. 2007 Mar 14;9(1):e5
  • Kilicoglu H, Rosemblat G, Rindflesch TC. Assigning factuality values to semantic relations extracted from biomedical research literature. PLoS One. 2017 Jul 5;12(7):e0179926. doi: 10.1371/journal.pone.0179926. eCollection 2017.
  • Candemir S, Jaeger S, Antani S, Bagci U, Folio LR, Xu Z, Thoma G. Atlas-based rib-bone detection in chest X-rays. Comput Med Imaging Graph. 2016 Jul;51:32-9. doi: 10.1016/j.compmedimag.2016.04.002. Epub 2016 Apr 13.
  • KC S, Antani SK. Automated chest X-ray screening: Can lung region symmetry help detect pulmonary abnormalities? IEEE Transactions on Medical Imaging. doi: https://doi.org/10.1109/TMI.2017.2775636.
  • Santosh KC, Antani SK. Automated chest x-ray screening: Can lung region symmetry help detect pulmonary abnormalities? doi: 10.1109/TMI.2017.2775636 vol. 37, no. 5, 1168-1177.
  • Zhang, K, Demner-Fushman D. Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations. J Am Med Inform Assoc. 2017 Jul 1;24(4):781-787. doi: 10.1093/jamia/ocw176.
  • Antani SK. Automated Detection of Lung Diseases in Chest X-Rays April 2015 Technical Report to the LHNCBC Board of Scientific Counselors
  • Lure F, Jaeger S, Antani SK. Automated Systems for microscopic and radiographic tuberculosis screening. Electronic Journal of Emerging Infectious Diseases, Vol. 2, No. 1, pp. 5-9, February 2017. [In Chinese]
  • Greenspan H, Gordon S, Zimmerman G, Lotenberg S, Jeronimo J, Antani S, Long LR. Automatic Detection of Anatomical Landmarks In Uterine Cervix Images IEEE Trans Med Imaging. 2009 Mar;28(3):454-68
  • Zhang M, Del Fiol G, Grout RW, Jonnalagadda S, Medlin R, Mishra R, Weir C, Liu H, Mostafa J, Fiszman M. Automatic identification of comparative effectiveness research from medline citations to support clinicians' treatment information needs. Stud Health Technol Inform. 2013;192:846-50.
  • Kho SU, Sheth A, Bodenreider O. Automatic Identification of Individual Drugs in Death Certificates. Stud Health Technol Inform. 2019 Aug 21;264:183-187. doi: 10.3233/SHTI190208.
  • Neveol A, Shooshan SE, Claveau V. Automatic Inference of Indexing Rules for MEDLINE BMC Bioinformatics. 2008 Nov 19;9 Suppl 11:S11

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