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  • Ben Abacha A, Hasan SA, Datls W, Liu J, Demner-Fushman D, Muller H. VQA-Med: Overview of the medical visual question answering task at imageclef 2019. CEUR Workshop Proceedings, 9-12, 2019.
  • Rae A, Savery M, Mork JG, Demner-Fushman D. A High Recall Classifier for Selecting Articles for MEDLINE Indexing. AMIA Fall Symposium, 2019.
  • Ben Abacha A, Mrabet Y, Sharp M, Goodwin T, Shooshan S, Demner-Fushman D. Bridging the Gap Between Consumers’ Medication Questions and Trusted Answers. Stud Health Technol Inform. 2019 Aug 21;264:25-29. doi: 10.3233/SHTI190176.
  • Ben Abacha A, Shivade C, Demner-Fushman D. Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering. Proceedings of the 18th BioNLP Workshop and Shared Task, Florence, Italy, August 1, 2019.
  • Ben Abacha A, Shivade C, Demner-Fushman D. Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering. Proceedings of the BioNLP 2019 workshop.
  • Demner-Fushman D, Cohen KB, Ananiadou S, Tsujii J. Sesame Street at BioNLP 2019. Proceedings of the BioNLP 2019 workshop.
  • Ben Abacha A, Demner-Fushman D. On the Summarization of Consumer Health Questions. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy 2019.
  • Ben Abacha A, Demner-Fushman D. On the Role of Question Summarization and Information Source Restriction in Consumer Health Question Answering. Proceedings of the AMIA 2019 Informatics Summit, San Francisco, CA, USA, March 25-28, 2019.
  • 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
  • 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.
  • 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
  • Ekong DU, Fontelo P. Prototype telepathology solutions that use the Raspberry Pi and mobile devices. 2017 IEEE Global Humanitarian Technology Conference (GHTC), San Jose CA, 2017: 1-4.
  • 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.
  • Mrabet Y, Kilicoglu H, Demner-Fushman D. TextFlow: A Text Similarity Measure based on Continuous Sequences. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017, Vancouver, Canada, July 30 - August 4, Volume
  • 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 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.
  • 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.
  • 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
  • Kochmann M, Locatis CN. Telemedicine in the Apple App Store: An exploratory study of teledermatology apps. In Smari, W. & Natarian, J. (Eds.), Proc 2016 Int Conf Collaboration Technologies and Systems, Orlando, Florida, October 31-November 4, Institute for Electrical and Electronic Engineers & Association for Computing Machinery, 534-537.
  • Marchell R, Locatis CN, Ackerman MA. High definition live interactive and store and forward teledermatology: A comparison of concordance, confidence, and satisfaction with in-person exams. In Smari, W. & Natarian, J. (Eds.), Proceedings of the 2016 International Conference on Collaboration Technologies and Systems, Orlando, Florida, October 31. Institute for Electrical and Electronic Engineers & Association for Computing Machinery, 520-523.
  • Yaniv Z, Faruque J, Howe S, Dunn K, Sharlip D, Bond A, Perillan P, Bodenreider O, Ackerman M, Yoo TS. The national library of medicine pill image recognition challenge: An initial report. Z. Yaniv et al., "The national library of medicine pill image recognition challenge: An initial report," 2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, 2016, pp. 1-9. doi: 10.1109/AIPR.2016.8010584. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8010584&isnumber=8010542.
  • Villegas M, Müller R, De Herrera A, Schaer R, Bromuri S, Gilbert A, Piras L, Wang J, Yan F, Ramisa A, Dellandrea E, Gaizauskas R, Mikolajczyk K, Puigcerver J, Toselli A, Sánchez J, Vidal E. General Overview of ImageCLEF at the CLEF 2016 Labs. CLEF Proceedings, Springer, 2016
  • 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.
  • 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.

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