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  • Mork JG, Aronson A, Demner-Fushman D. 12 years on - Is the NLM medical text indexer still useful and relevant? J Biomed Semantics. 2017 Feb 23;8(1):8. doi: 10.1186/s13326-017-0113-5.
  • Heymann JAW, Shi D, Kim S, Bliss D, Milne JLS, Subramaniam S. 3D imaging of mammalian cells with ion-abrasion scanning electron microscopy. J Struct Biol. 2009 Apr;166(1):1-7. doi: 10.1016/j.jsb.2008.11.005. Epub 2008 Dec 10.
  • Yoo TS. 3D Medical Informatics: Information Science in Multiple Dimensions. In: Chen H, Fuller SS, Friedman C, Hersh W, editors. Medical Informatics: Knowledge Management and Data Mining in Biomedicine. New York: Springer Science. p. 333-58.
  • Leroy G, Miller T, Rosemblat G, Browne A. A Balanced Approach to Health Information Evaluation: A Vocabulary-based Naive Bayes Classifier and Readability Formulas JASIST, 59(9):1409-1419, 2008
  • Miller CM, Rindflesch TC, Fiszman M, Hristovski D, Shin D, Rosemblat G, Zhang H, Strohl KP. A closed literature-based discovery technique finds a mechanistic link between hypogonadism and diminished sleep quality in aging men. Sleep. 2012 Feb 1;35(2):279-85. doi: 10.5665/sleep.1640.
  • Kuybeda O, Frank GA, Bartesaghi A, Borgnia M, Subramaniam S, Sapiro G. A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography. J Struct Biol. 2013 Feb;181(2):116-27. doi: 10.1016/j.jsb.2012.10.010. Epub 2012 Oct 27.
  • Demner-Fushman D. A dataset of 200 structured product labels annotated for adverse drug reactions. Sci Data. 2018 Jan 30;5:180001. doi: 10.1038/sdata.2018.1.
  • 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.
  • Lowekamp B, Chen D. A Framework for Improved Regression Testing Based Upon CTest and CDash. The Insight Journal. Web. 2009 Jul-Dec.
  • 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.
  • Rosemblat G, Shin D, Kilicoglu H, Sneiderman C, Rindflesch TC. A methodology for extending domain coverage in SemRep. J Biomed Inform. 2013 Dec;46(6):1099-107. doi: 10.1016/j.jbi.2013.08.005. Epub 2013 Aug 21.
  • 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.
  • Jimeno-Yepes A, Mork J, Demner-Fushman D, Aronson AR. A one-size-fits-all indexing method does not exist: automatic selection based on meta-learning. JCSE, vol. 6, no. 2, pp.151-160, 2012.
  • Rahman MM, Antani SK, Thoma GR. A Query Expansion Framework in Image Retrieval Domain Based on Local and Global Analysis. Inf Process Manag. 2011 Sep 1;47(5):676-691.
  • Névéol A, Shooshan SE, Humphrey SM, Mork JG, Aronson AR. A recent advance in the automatic indexing of the biomedical literature. J Biomed Inform. 2009 Oct;42(5):814-23. doi: 10.1016/j.jbi.2008.12.007. Epub 2008 Dec 30.
  • Candemir S, Antani SK. A review on lung boundary detection in chest X-rays. Int J Comput Assist Radiol Surg. 2019 Feb 7. doi: 10.1007/s11548-019-01917-1.
  • KC S, Alam M, Roy P, Wendling L, Antani SK, Thoma GR. A simple and efficient arrowhead detection in biomedical images. International J Pattern Recognition and Artificial Intelligence (IJPRAI), 30(5), 1657002, 2016, DOI: 10.1142/S0218001416570020.
  • Friedlin FJ, McDonald C. A Software Tool for Removing Patient Identifying Information from Clinical Documents J Am Med Inform Assoc. 2008 Sep-Oct;15(5):601-10. Epub 2008 Jun 25
  • Xu X, Lee DJ, Antani S, Long LR. A Spine X-ray Image Retrieval System using Partial Shape Matching IEEE Trans Inf Technol Biomed. 2008 Jan;12(1):100-8.
  • Zhang X, Zou J, Le DX, Thoma GR. A structural SVM approach for reference parsing. BMC Bioinformatics. 2011 Jun 9;12 Suppl 3:S7. doi: 10.1186/1471-2105-12-S3-S7.
  • Lu C, Tormey D, McCreedy L, Browne AC. A Systematic Approach for Automatically Generating Derivational Variants in Lexical Tools Based on the SPECIALIST Lexicon. IEEE IT Professional Magazine, May/June, 2012, p. 36-42.
  • Lu C, McCreedy L, Tormey D, Browne AC. A Systematic Approach for Automatically Generating Derivational Variants in Lexical Tools Based on theSPECIALIST Lexicon IEEE IT Professional Magazine, May/June, 2012;36-42.
  • Harpaz R, Odgers D, Gaskin G, DuMouchel W, Winnenburg R, Bodenreider O, Ripple AM, Szarfman A, Sorbello A, Horvitz E, White RW, Shah NH. A time-indexed reference standard of adverse drug reactions. Sci Data. 2014 Nov 11;1:140043. doi: 10.1038/sdata.2014.43.
  • Guler, O, Yaniv Z. A tutorial on image guided therapy. Chapter 11 in: Birkfellner W, editor. Applied Medical Image Processing, Second Edition: A Basic Course. London: CRC Press; 2014. ISBN: 9781466555570.
  • 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
  • Zweigenbaum P, Demner-Fushman D. Advanced Literature-Mining Tools. In Edwards D, Stajich J, and Hansen D. (Editors). Bioinformatics: Tools and Applications. Springer 2009.
  • 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.
  • Almubarak H, Guo P, Stanley RJ, Long LR, Antani SK, Thoma GR. Algorithm Enhancements for Improvement of Localized Classification of Uterine Cervical Cancer Digital Histology Images. in Handbook of Research on Emerging Perspectives on Healthcare Information Systems and Informatics,. IGI Global (Hershey, PA).
  • 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.
  • Ackerman MJ. Anatomy in the Digital Age. In: Rifkin BA, Ackerman MJ. Human Anatomy: From the Renaissance to the Digital Age. 2006 May 2. New York: Abrams. p. 318-329.
  • Yaniv Z, Linte CA. Applications of Augmented Reality in the Operating Room. Chapter 19 in Fundamentals of Wearable Computers and Augmented Reality, 2nd ed. CRC Press, 2015.
  • 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.
  • Linte CA, Yaniv Z, Fallavollita P, Abolmaesumi P, Holmes DR III, editors. Augmented Environments for Computer-Assisted Interventions 2014: 9th International AE-CAI Workshop. Held in conjunction with MICCAI 2014. 2014 Sep 14; Boston. Lecture Notes in Computer Science, vol. 8678. Springer; 2014. 149 pages.
  • 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.
  • 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
  • Folio, L, Sigelman, J, Wang, Y, Lu, P, Antani SK, Jaeger S. Automatic Identification and Classification of Tuberculosis Findings on Chest Radiographs for Global Surveillance Programs [Abstract]. Annual Meeting of the American Roentgen Ray Society (ARRS)

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