You are here

  • Kim J, Le DX, Thoma GR. Inferring Grant Support Types From Online Biomedical Articles 22nd IEEE ISCBMS. Albuquerque, NM. August 2009
  • Roberts K, Gururaj A, Chen X, Pournejati S, Cohen T, Hersh WR, Demner-Fushman D. Information Retrieval for Biomedical Datasets. 2016 bioCADDIE Challenge. AMIA 2017.
  • Pedrosa G, Rahman MM, Antani SK, Demner-Fushman D, Long LR, Traina A. Integrating visual words as bunch of n-grams for effective biomedical image classification. Proceedings of IEEE WACV 2014: IEEE Winter Conference on Applications of Computer Vision. Steamboat Springs, CO. March 24-26, 2014.
  • Rahman MM, You D, Simpson MS, Antani SK, Demner-Fushman D. Interactive Cross and Multimodal Biomedical Image Retrieval Based on Automatic Region-Of-Interest (ROI) Identification and Classification. International Journal of Multimedia Information Retrieval (MMIR) 2014 Sep;3(3):131-146.
  • Thoma GR, Ford G, Chung M, Vasudevan K, Antani S. Interactive Publications: Creation and Usage Proc IS and T/SPIE Electronic Imaging 2006: Digital Publishing. San Jose, CA. Jan 15-19, 2006.
  • Antani SK, Deserno TM, Long LR, Guld MO, Neve L, Thoma GR. Interfacing Global and Local CBIR Systems for Medical Image Retrieval Proc Workshop on Medical Imaging Research (Bildverarbeitung fur die Medizin). March 2007; 166-71.
  • Fiszman M, Demner-Fushman D, Lang FM, Goetz P, Rindflesch TC. Interpreting Comparative Constructons in Biomedical Text Proc 2007 Workshop BioNL'07, June 2007, pp. 137-144, Prague, Czech Republic
  • Kilicoglu H, Fiszman M, Demner-Fushman D. Interpreting Consumer Health Questions: The Role of Anaphora and Ellipsis. Proceedings of BioNLP 2013. Pages 54-62.
  • Xue Z, Antani S, Long LR, Jeronimo J, Thoma GR. Investigating CBIR Techniques for Cervicographic Images AMIA Annu Symp Proc. 2007 Oct 11:826-30.
  • Bodenreider O, Demner-Fushman D. Investigating drug classes in biomedical terminologies from the perspective of clinical decision support. AMIA Annu Symp Proc. 2010 Nov 13;2010:56-60.
  • Zhang X, Zou J, Le DX, Thoma GR. Investigator Name Recognition From Medical Journal Articles: A Comparative Study of SVM and Structural SVM International Workshop on Document Analysis Systems. June 2010:121-8
  • Antani S, Xue Z, Long LR, Bennett D, Ward S, Thoma GR. Is there a need for biomedical CBIR systems in clinical practice? Outcomes from a usability study. Proceedings of SPIE Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications. Orlando, FL. February 2011;7967:796708.
  • Simpson M, You D, Rahman MM, Demner-Fushman D, Antani SK, Thoma GR. ITI's participation in the ImageCLEF 2012 medical retrieval and classification tasks. CLEF 2012 Working Notes. Rome, Italy. September 2012.
  • Aronson AR, Demner-Fushman D, Humphrey SM, Ide NC, Kim W, Liu H, Loane RF, Mork JG, Smith LH, Tanabe LK, Wilbur WJ, Xie N. Knowledge-intensive and statistical approaches to the retrieval and annotation of genomics MEDLINE citations. The Thirteenth Text Retrieval Conference (TREC 2004). 2004:503-11.
  • Vajda S. Label the many with a few: Semi-automatic medical image modality discovery in a large image collection. IEEE Symposium Series on Computational Intelligence, Orlando, FL, Dec 9-12, 2014
  • 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.
  • Shin HC, Roberts K, Lu L, Demner-Fushman D. Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  • Seetharaman S, Stanley RJ, De S. Live Wire Segmentation Tool for Osteophyte Detection in Lumbar Spine X-Ray Images Proc IEEE ICETET 2008. Nagpur, India. July 2008:715-20
  • He L, Long LR, Antani SK, Thoma GR. Local and Global Gaussian Mixture Models For Hematoxylin and Eosin Stained Histology Image Segmentation 20th International Conference on Hybrid Intelligence Systems. Atlanta, GA. August 2010:223-8
  • Rahman MM, Antani SK, Thoma GR. Local Concept-Based Medical Image Retrieval With Correlation-Enhanced Similarity Matching Based On Global Analysis IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA10) in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2010. June 2010:87-94
  • Ding M, Antani SK, Jaeger S, Xue Z, Candemir S, Kohli M, Thoma GR. Local-Global Classifier Fusion for Screening Chest Radiographs. Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 101380A (March 13, 2017); doi:10.1117/12.2252459
  • Zou J, Antani SK, Thoma GR. Localizing and Recognizing Labels for Multi-Panel Figures in Biomedical Journals. Proceedings of International Conference on Document Analysis and Recognition, November 13, 2017
  • Xue Z, Jaeger S, Antani SK, Long LR, Karargyris A, Siegelman J, Folio L, Thoma GR. Localizing tuberculosis in chest radiographs with deep learning. Proc SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105790U (6 March 2018) pp. doi: 10.1117/12.2293022
  • Xue Z, Jaeger S, Antani SK, Long LR, Karargyris A, Siegelman J, Folio LR, Thoma GR. Localizing tuberculosis in chest radiographs with deep learning. SPIE Medical Imaging 2018
  • 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.
  • Roberts K, Shooshan SE, Rodriguez L, Abhyankar S, Kilicoglu H, Demner-Fushman D. Machine Learning Methods for Detecting Risk Factors for Heart Disease in EHRs. Proc i2b2 2014 Workshop
  • 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.
  • Rae A, Kim J, Le DX, Thoma GR. Main Content Detection in HTML Journal Articles. DocEng ’18: ACM Symposium on Document Engineering 2018, August 28–31, 2018, Halifax, NS, Canada. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3209280.3229115
  • Antani S, Cheng J, Long J, Long LR, Thoma GR. Medical Validation and CBIR of Spine X-ray Images over the Internet Proc IS and T/SPIE Electronic Imaging Science and Technology 2006: Internet Imaging VII. San Jose. CA Jan 15-19, 2006, SPIE Vol. 6061 pp. 60610J (1-9).
  • Demner-Fushman D, Hauser SE, Humphrey SM, Ford GM, Jacobs JL, Thoma GR. MEDLINE as a Source of Just-in-Time Answers to Clinical Questions. AMIA Annu Symp Proc. 2006:190-4.
  • Jimeno-Yepes A, Mork JG, Wilkowski B, Demner-Fushman D, Aronson AR. MEDLINE MeSH indexing: lessons learned from machine learning and future directions. Proc IHI 2012, 737-742.
  • Aronson AR, Mork JG, Neveol A, Shooshan SE, Demner-Fushman D. Methodology for Creating UMLS Content Views Appropriate for Biomedical Natural Language Processing AMIA Annu Symp Proc. 2008 Nov 6:21-5
  • Kayaalp M, Aronson AR, Humphrey SM, Ide NC, Tanabe LK, Smith LH, Demner-Fushman D, Loane RF, Mork JG, Bodenreider O. Methods for accurate retrieval of MEDLINE citations in functional genomics. The Twelfth Text Retrieval Conference (TREC 2003). 2003:441-50.
  • Guan H, Antani S, Long LR, Thoma GR. Minimizing the Semantic Gap In Biomedical Content-based Image Retrieval Proc SPIE, Medical Imaging: Advanced PACS-based Imaging Informatics, and Therapeutic Applications. March 2010;7628:762807-1 ~ 762807-8
  • Demner-Fushman D, Mork JG, Aronson AR. Mining MEDLINE for problems associated with vitamin D. AMIA Annu Symp Proc. 2013 Nov 16;2013:300-8. eCollection 2013.
  • Rodriguez L, Morrison SM, Greenberg K, Demner-Fushman D. Mining the literature for genes associated with placenta-mediated maternal diseases. AMIA Annu Symp Proc. 2018 Apr 16;2017:1498-1506. eCollection 2017.
  • Xue Z, Rahman M, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Modality Classification for Searching Figures in Biomedical Literature. Proceedings of the IEEE 29th International Symposium on Computer-Based Medical Systems, pp. 152-157, 2016. doi:10.1109/CBMS.2016.29.
  • Rahman MM, Antani S, Long LR, Demner-Fushman D, Thoma GR. Multi-Modal Query Expansion Based on Local Analysis for Medical Image Retrieval. Lecture Notes in Computer Science. First MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2009); part of the 12th International Conference on Medical Image Computing and Computer Assisted Interventio February 2010;5853/2010(doi: 10.1007/978-3-642-11769-5):110-9..
  • Xu T, Huang X, Kim E, Long LR, Antani SK. Multi-test cervical cancer diagnosis with missing data estimation. Proc. SPIE. 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94140X. (March 20, 2015) doi: 10.1117/12.2080871.
  • 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. 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, 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.
  • Ben Abacha A, Long LR, Seco de Herrera AG, Antani SK, Wang K, Demner-Fushman D. Named Entity Recognition in Functional Neuroimaging Literature. BIBM 2017
  • KC S, Xue Z, Antani SK, Thoma GR. NLM at ImageCLEF 2015: Biomedical Multipanel Figure Separation. Editors: Cappellato, L., Ferro, N., Jones, G., and San Juan, E., CLEF 2015 Labs and Workshops, Notebook Papers. CEUR WorkshopProceedings (CEUR-WS.org), ISSN 1613-0073, http://ceur-ws.org/ Vol-1391/.
  • Ben Abacha A, De Herrera A, Gayen S, Demner-Fushman D, Antani SK. NLM at ImageCLEF 2017 Caption Task. International Conference of the Cross-Language Evaluation Forum for European Languages 2017 Sep 11 (pp. 358-360). Springer, Cham.
  • Ben Abacha A, Gayen S, Lau JJ, Rajaraman S, Demner-Fushman D. NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain. CLEF2018 Working Notes. CEUR Workshop Proceedings, Avignon, France, CEUR-WS.org (September 10-14 2018).
  • Mork JG, Bodenreider O, Demner-Fushman D, Doagan RI, Lang F-M, Lu Z, Névéol A, Peters L, Shooshan SE, Aronson AR. NLM's I2B2 tool system description. Third i2b2 Workshop on Natural Language Processing Challenges for Clinical Records, November, San Francisco, 2009
  • Ben Abacha A, Demner-Fushman D. NLM_NIH at SemEval-2017 Task 3: from Question Entailment to Question Similarity for Community Question Answering. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval@ACL) 2017: 349-352.
  • Ben Abacha A. NLM_NIH at TREC 2016 Clinical Decision Support Track. Proceedings of TREC 2016, the 25th Text Retrieval Conference, Gaithersburg, MD, USA, November 2016.
  • 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.

Pages