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  • Moallem G, Poostchi M, Yu H, Silamut K, Palaniappan N, Antani SK, Hossain Md Amir, Maude RJ, Jaeger S, Thoma GR. Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears. Applied Imagery Pattern Recognition Workshop (AIPR), 2017
  • Fung K, Gutierrez A, Ameye F, D’Have A, Ariel B. Demonstrating the Benefits of Mapping SNOMED CT to ICD-10-PCS through a Prototype Application for End User Implementation. SNOMED Expo Oct 2017, Bratislava, Slovakia pp. 0
  • Guan Y, Li M, Jaeger S, Lure F, Raptopoulos V, Lu P, Folio LR, Candemir S, Antani SK, Siegelman J, Li J, Wu T, Thoma GR, Qu S. Applying Artificial Intelligence and Radiomics for Computer Aided Diagnosis and Risk Assessment in Chest Radiographs. 2nd Conference on Machine Intelligence in Medical Imaging (CMIMI) of the Society for Imaging Informatics in Medicine (SIIM), Poster, 2017.
  • 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.
  • 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.
  • Raje S, Bodenreider O. Interoperability of disease concepts in clinical and research ontologies – Contrasting coverage and structure in the Disease Ontology and SNOMED CT. Stud Health Technol Inform. 2017;245:925-929.
  • Bhupatiraju R, Fung K, Bodenreider O. MetaMapLite in Excel: Biomedical named-entity recognition for non-technical users. Stud Health Technol Inform (Proc Medinfo): 1252.
  • Rajaraman S, Antani SK, Jaeger S. Visualizing Deep Learning Activations for Improved Malaria Cell Classification. Proceedings of The First Workshop in Medical Informatics and Healthcare (MIH 2017), Proceedings of Machine Learning Research (PMLR), v. 69, p. 40-47.
  • 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.
  • Candemir S, Antani SK, Xue Z, Thoma GR. Novel Method for Storyboarding Biomedical Videos for Medical Informatics. 30th IEEE International Symposium on Computer-Based Medical Systems
  • Ash J, Sittig D. Everything Electronic Medical Records: Systems, Standards and Studies Conversations with Medical Informatics Pioneers: An oral history project.
  • Raje S, Bodenreider O. Investigating the coverage of diseases across biomedical research and clinical ontologies. Proceedings of the AMIA Joint Summits on Translational Science CRI: 384-385.
  • 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
  • Xue Z, Antani SK, Long LR, Thoma GR. Automatic multi-label annotation of abdominal CT images using CBIR. Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 1013807 (March 13, 2017); doi:10.1117/12.2254368.
  • Lu C, Tormey D, McCreedy L, Browne AC. Generating A Distilled N-Gram Set: Effective Lexical Multiword Building in the SPECIALIST Lexicon. The 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), Vol(5): HEALTHINF, PORTO, Portugal, February 21-23, 2017, p. 77-87.
  • Ben Abacha A, Demner-Fushman D. Recognizing Question Entailment for Medical Question Answering. AMIA Annu Symp Proc. 2017 Feb 10;2016:310-318. eCollection 2016.
  • Kury F, Baik SH, McDonald CJ. Analysis of Healthcare Cost and Utilization in the First Two Years of the Medicare Shared Savings Program Using Big Data from the CMS Enclave. AMIA Annu Symp Proc. 2017 Feb 10;2016:724-733. eCollection 2016.
  • Mrabet Y, Kilicoglu H, Roberts K, Demner-Fushman D. Combining Open-domain and Biomedical Knowledge for Topic Recognition in Consumer Health Questions. AMIA Annu Symp Proc. 2017 Feb 10;2016:914-923. eCollection 2016.
  • Roberts K, Rodriguez L, Shooshan SE, Demner-Fushman D. Resource Classification for Medical Questions. AMIA Annu Symp Proc. 2017 Feb 10;2016:1040-1049. eCollection 2016.
  • Workman E, Weir, C, Rindflesch TC. Differentiating Sense through Semantic Interaction Data. AMIA Annu Symp Proc. 2017 Feb 10;2016:1238-1247. eCollection 2016.
  • Bahr NJ, Nelson SD, Winnenburg R, Bodenreider O. Eliciting the Intension of Drug Value Sets - Principles and Quality Assurance Applications. Stud Health Technol Inform. 2017;245:843-847.
  • Dhombres F, Bodenreider O. Trends in Fetal Medicine: A 10-Year Bibliometric Analysis of Prenatal Diagnosis. Stud Health Technol Inform. 2017;245:853-857.
  • Nelsonn SD, Parker J, Lario R, Winnenburg R, Erlbaum MS, Lincoln MJ, Bodenreider O. Interoperability of medication classification systems: Lessons learned mapping estab-lished pharmacologic classes (EPCs) to SNOMED CT. Stud Health Technol Inform. 2017;245:920-924.

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