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  • Ackerman MJ, Siegel, E, Wood, F. Interactive Science Publishing: A joint OSA-NLM project. Information Services & Use. 2010 Jan-Feb;30:39-50. DOI: 10.3233/ISU-2010-0612.
  • Bennett A, Liu J, Van Ryk D, Bliss D, Arthos J, Henderson RM, Subramaniam S. Cryoelectron Tomographic Analysis of an HIV-neutralizing Protein and Its Complex with Native Viral gp120 J Biol Chem. 2007 Sep 21;282(38):27754-9. Epub 2007 Jun 28
  • Chachra S, Ben Abacha A, Shooshan SE, Rodriguez L, Demner-Fushman D. A Hybrid Approach to Generation of Missing Abstracts in Biomedical Literature. Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers: 1093-1100.
  • Chen S, Misra D, Thoma GR. Efficient Automatic OCR Word Validation Using Word Partial Format Derivation and Language Model Document Recognition and Retrieval XVII. Proceedings of the SPIE. San Jose, CA. January 2010;7534:75340O-75340O-8
  • Chen S, Mao S, Thoma GR. Simultaneous Layout Style and Logical Entity Recognition in a Heterogeneous Collection of Documents Proc ICDAR2007. Curitiba, Brazil; September 2007, pp. 118-22
  • De Herrera A, Schaer R, Antani SK, Müller H. Using Crowdsourcing for Multi-label Biomedical Compound Figure Annotation. In: Carneiro G. et al. (eds) Deep Learning and Data Labeling for Medical Applications. LABELS 2016, DLMIA 2016. Lecture Notes in Computer Science, vol 10008. Springer, Cham
  • Deckard J, McDonald CJ, Vreeman DJ. Supporting interoperability of genetic data with LOINC. J Am Med Inform Assoc. 2015 May;22(3):621-7. doi: 10.1093/jamia/ocu012. Epub 2015 Feb 5.
  • Demner-Fushman D, Lin J. Answering Clinical Questions with Knowledge-based and Statistical Techniques Computational Linguistics. 2007 Jan;33(1):63-103
  • Demner-Fushman D, Few B, Hauser SE, Thoma GR. Automatically Identifying Health Outcome Information in MEDLINE Records J Am Med Inform Assoc. 2006 Jan-Feb;13(1):52-60. Epub 2005 Oct 12.
  • Ford G, Thoma GR. Ground Truth Data for Document Image Analysis Proceedings of 2003 Symposium on Document Image Understanding and Technology. 2003 April 9-11;: 199-205.
  • Ford G, Hauser SE, Le DX, Thoma GR. Pattern Matching Techniques for Correcting Low Confidence OCR Words in a Known Context Proc. SPIE., Document Recognition and Retrieval VIII. 2001 Jan;4307:241-9.
  • Hauser SE, Le DX, Thoma GR. Automated Zone Correction in Bitmapped Document Images SPIE: Document Recognition and Retrieval VII. 2000 Jan;3976: 248-58.
  • Hauser SE, Sabir TF, Thoma GR. OCR Correction Using Historical Relationships from Verified Text in Biomedical Citations Proc. of 2003 Symposium on Document Image Understanding Technology. College Park MD: Institute for Advanced Computer Studies, University of Maryland. 2003 April;: 171-7.
  • Hauser SE, Schlaifer J, Sabir TF, Demner-Fushman D, Thoma GR. Correcting OCR Text by Association with Historic Datasets Proc. SPIE Electronic Imaging. 2003 Jan;5010: 84-93.
  • Hsu W, Long LR, Antani SK. SPIRS: A Framework for Content-based Image Retrieval from Large Biomedical Databases Stud Health Technol Inform. 2007;129(Pt 1):188-92.
  • Ide NC, Loane RF, Demner-Fushman D. Essie: A Concept-based Search Engine for Structured BiomedicalText J Am Med Inform Assoc. 2007 May-Jun;14(3):253-63. Epub 2007 Feb 28
  • Kanungo T, Mao S. Stochastic Language Model for Style-Directed Physical Layout Analysis of Documents IEEE Transactions on Image Processing. 2003 May;12 (5)5:583-596.
  • Kayaalp M, Browne AC, Dodd ZA, Sagan P, McDonald CJ. An Easy-to-Use Clinical Text De-identification Tool for Clinical Scientists: NLM Scrubber [Poster]. Proceedings of the Annual American Medical Informatics Association Fall Symposium: 1522.
  • Kim I, Thoma GR. Automated Identification of Potential Conflict-of-Interest in Biomedical Articles Using Hybrid Deep Neural Network. Proc. 14th Int’l Conf. Machine Learning and Data Mining (MLDM 2018), LNAI 10934, pp. 99-112, Newark, NJ, July 2018.
  • Kim I, Thoma GR. Automated Identification of Potential Conflict-of-Interest in Biomedical Articles Using Hybrid Deep Neural Network. Proc. 14th Int’l Conf. Machine Learning and Data Mining (MLDM 2018), LNAI 10934, pp. 99-112, Newark, NJ, July 2018.
  • Kim I, Thoma GR. Machine Learning with Selective Word Statistics for Automated Classification of Citation Subjectivity in Online Biomedical Articles. Proc. Int’l Conf. Artificial Intelligence (ICAI’17), pp. 201-207, Las Vegas, July 2017.
  • Kim I, Thoma GR. Automated Classification of Author’s Sentiments in Citation Using Machine Learning Techniques: A Preliminary Study. Proc. the 2015 IEEE Conf. Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2015), Niagara Falls, Canada, Aug. 12-15, 2015.
  • Kim I, Le DX, Thoma GR. Automated method for extracting "citation sentences" from online biomedical articles using SVM-based text summarization technique. Proc. the 2014 IEEE Int'l Conf. on Systems, Man, and Cybernetics (SMC 2014), pp. 2006-2011, San Diego, October, 2014
  • Kim I, Le DX, Thoma GR. Identifying “comment-on” citation data in online biomedical articles using SVM-based text summarization technique. Proc. Int’l Conf. Artificial Intelligence (ICAI’12), vol. 1, pp. 431-437, Las Vegas, July 2012.
  • Kim I, Le DX, Thoma GR. Automated identification of biomedical article type using support vector machines. Proc. 18th SPIE Document Recognition and Retrieval, 7874:787403 (1-9), San Francisco, January 2011.
  • Kim I, Le DX, Thoma GR. Automated Cleanup Processing for Extracting Bibliographic Data from Biomedical Online Journals In: Callaos N, Lesso W, editors. SCI 2005. Proc. 9th World Multiconference on Systemics, Cybernetics and Informatics; 2005 Jul 10-13; Vol. 4; Orlando (FL): International Institute of Informatics and Systemics; c2005. 401-5
  • Kim IC, Le DX, Thoma GR. Hybrid approach combining contextual and statistical information for identifying and statistical information for identifying MEDLINE citation terms. Proc. SPIE-IS/T Electronic Imaging. San Jose, CA. January 2008;6815:68150P(1-9)
  • Kim IC, Le DX, Thoma GR. Identification of "comment-on sentences" in online biomedical documents using support vector machines. Proc. SPIE conference on Document Recognition and Retrieval, 6500:65000O (1-8), San Jose, January 2007.
  • Kim J, Hong S, Thoma GR. Labeling Author Affiliations in Biomedical Articles Using Markov Model Classifiers. The 13th International Conference on Data Mining (DMIN2017), pp. 105-110, Las Vegas, USA, July 2017.
  • Kim J, Thoma GR. Named Entity Recognition in Affiliations of Biomedical Articles Using Statistics and HMM Classifiers. The 2016 International Conference on Data Mining (DMIN2016), Las Vegas, USA, pp. 236-241, July, 2016.
  • Kim J, Lobuglio PS, Thoma GR. Visualization of Statistics from MEDLINE. 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS 2016), Dublin and Belfast, Ireland, pp. 290-291, June, 2016.
  • Kim J, Le DX, Thoma GR. Identification of Investigator Name Zones Using SVM Classifiers and Heuristic Rules. 12th international Conference on Document Analysis and Recognition (ICDAR). Washington D.C., August 2013.
  • Kim J, Le DX, Thoma GR. Combining SVM Classifiers to Identify Investigator Name Zones in Biomedical Articles. IS&T/SPIE’s 22nd Annual Symposium on Electronic Imaging. San Francisco, CA, January 2012; 8297.
  • Kim J, Le DX, Thoma GR. Naive Bayes and SVM Classifiers For Classifying Databank Accession Number Sentences From Online Biomedical Articles IS&T/SPIE's 22nd Annual Symposium on Electronic Imaging. San Jose, CA. January 2010;7534:75340U-1 - 8
  • Kim J, Le DX, Thoma GR. Inferring Grant Support Types From Online Biomedical Articles 22nd IEEE ISCBMS. Albuquerque, NM. August 2009
  • Kim J, Le DX, Thoma GR. Naive Bayes Classifier for Extracting Bibliographic Information From Biomedical Online Articles Proc 2008 International Conference on Data Mining. Las Vegas, Nevada, USA. July 2008;II:373-8
  • Kim J, Le DX, Thoma GR. Automatic Extraction of Bibliographic Information from Biomedical Online Journal Articles Using a String Matching Algorithm Proc IEEE CBMS, June 2006, Salt Lake City, Utah; 905-10
  • Kim J, Le DX, Thoma GR. Automated Labeling Of Biomedical Online Journal Articles In: Callaos N, Lesso W, editors. SCI 2005. Proc 9th World Multiconference on Systemics, Cybernetics and Informatics; 2005 Jul 10-13; Vol. 4; Orlando (FL): International Institute of Informatics and Systemics; c2005. 406-11
  • Kim J, Le DX, Thoma GR. Automated Labeling Algorithms for Biomedical Document Images Proc. 7th World Multiconference on Systemics, Cybernetics and Informatics. 2003 July;V: 352-57.
  • Kim J, Le DX, Thoma GR. Automated Labeling in Document Images Proc. SPIE, Document Recognition and Retrieval VIII. 2001 Jan;4307:111-22.
  • Kim J, Le DX, Thoma GR. Automated Labeling of Bibliographic Data Extracted from Biomedical Online Journals Proc. SPIE Electronic Imaging. 2003 Jan;5010: 47-56.
  • Lasko TA, Hauser SE. Approximate String Matching Algorithms for Limited-Vocabulary OCR Output Correction Proc. SPIE, Document Recognition and Retrieval VIII. 2001 Jan;4307:232-40.
  • Le DX, Thoma GR. Automatically Creating Biomedical Bibliographic Records from Printed Volumes of Old Indexes In: Callaos N, Lesso W, editors. SCI 2005. Proc 9th World Multiconference on Systemics, Cybernetics and Informatics; 2005 Jul 10-13; Vol. 3, Computer Science and Engineering. Orlando (FL): International Institute of Informatics and Systemics; c2005. 267-74
  • Le DX, Thoma GR. Automated Document Labeling for Web-Based Online Medical Journals Proc. 7th World Multiconference on Systemics, Cybernetics and Informatics. 2003 July;II: 411-15.
  • Le DX, Tran LQ, Chow J, Kim J, Hauser SE, Moon CW, Thoma GR. Automated Medical Citation Records Creation for Web-Based Online Journals Proc. 14th IEEE Symposium on Computer-Based Medical Systems: IEEE Computer Society. 2001.
  • Le DX, Straughan SR, Thoma GR. Greek Alphabet Recognition Technique for Biomedical Documents Proc. 6th World Multiconference on Systemics, Cybernetics and Informatics, eds: Callaos N, et al. 2002 July;III: 86-91.
  • Le DX, Thoma GR. Page Layout Classification Technique for Biomedical Documents Proc. World Multiconference on Systems, Cybernetics and Informatics (SCI). 2000 Jul.;X: 348-52.
  • Lin J, Karakos D, Demner-Fushman D, Khudanpur S. Generative Content Models for Structural Analysis of Medical Abstracts Proc 2006 BioNLP'06. June 2006, New York City, New York
  • Lingappa G, Thoma GR, Antani SK. Web Interface: MyMorph
  • Mao S, Nie L, Thoma GR. Unsupervised Style Classification of Document Page Images Proc IEEE International Conference on Image Processing, September 2005, Genova, Italy; Vol. II: 510-13

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