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  • 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).
  • Azuaje F, Wang H, Bodenreider O. Ontology-driven Similarity Approaches to Supporting Gene Functional Assessment Proceedings of the ISMB'2005 SIG meeting on Bio-ontologies 2005:9-10
  • Bodenreider O. Disease Ontologies In: Dubitzky W, Wolkenhauer O, Cho K-H, Yokota H, editors. Encyclopedia of Systems Biology: Springer; 2013. p. 578-581.
  • Bodenreider O. Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support. Geissbuhler A, Kulikowski C, editors. IMIA Yearbook of Medical Informatics 2008. Methods Inf Med, 2008. 47(Suppl 1): p. 67-79.
  • Bodenreider O, Bean CA. Relationships Among Knowledge Structures: Vocabulary Integration Within a Subject Domain. In: Bean A, Green R, editors. Relationships in the organization of knowledge. Springer; 2001. pp. 81-98.
  • Borovikov E, Vajda S. FaceMatch: real-world face image retrieval. In: Santosh K., Hangarge M., Bevilacqua V., Negi A. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2016. Communications in Computer and Information Science, vol 709. Springer, Singapore. 405-419.
  • Borovikov E, Vajda S, Lingappa G, Bonifant MC. Parallel Computing in Face Image Retrieval: Practical Approach to the Real-World Image Search. Multi-Core Computer Vision and Image Processing for Intelligent Applications. IGI Global, 2017. 155-189. Web. 12 Sep. 2016. doi:10.4018/978-1-5225-0889-2.ch006
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  • Candemir S. Chest X-ray Screening System: Segmentation Module – v3
  • Cohen KB, Demner-Fushman D. Biomedical Natural Language Processing John Benjamins Publishing Company, 2014. DOI: 10.1075/nlp.11
  • Demner-Fushman D. Clinical, Consumer Health, and Visual Question Answering. Springer Nature Switzerland AG 2019. J. A. Lossio-Ventura et al. (Eds.): SIMBig 2018, CCIS 898, pp. 1–6, 2019.
  • Demner-Fushman D, Elhadad N. Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing. IMIA Yearbook of Medical Informatics 2016.
  • Fung KW, Bodenreider O. Knowledge representation and ontologies. Richesson RL, Andrews JE (Eds.). Clinical Research Informatics, Health Informatics, DOI 10.1007/978-1-84882-448-5_14, Springer-Verlag London Limited Publishing 2012.
  • Hristovski D, Kastrin A, Peterlin B, Rindflesch TC. Combining Semantic Relations and DNA Microarray Data for Novel Hypotheses Generation Lecture Notes in Bioinformatics. Springer
  • Ionescu B, Muller H, Peteri R, Dang-Nguyen DT, Piras L, Riegler M, Tran MT, Lux M, Gurrin C, Cid YD, Liauchuk V, Kovalev V, Ben Abacha A, Hasan SA, Datla V, Liu J, Demner-Fushman D, Pelka O, Friedrich CM, Chamberlain J, Clark C, de Herrera AGS, Garcia N, Kavallieratou E, del Blanco CR, Rodriguez CC, Vasillopoulos N, Karampidis K. Multimedia retrieval in medicine, lifelogging, security and nature. International Conference of the Cross-Language Evaluation Forum for European Languages, Springer, Cham, 358-386, 2019
  • Jaeger S. A geomedical approach to Chinese medicine: The origin of the yin-yang symbol. Recent Advances in Theories and Practice of Chinese Medicine, Haixue Kuang (Ed.), ISBN: 978-953-307-903-5, InTech, 2012.
  • Kayaalp M, Dodd Z, Browne AC, Sagan, P, McDonald CJ. Software: NLM-Scrubber
  • Kilicoglu H. Software: Bio-SCoRes
  • Long LR, Antani SK, Thoma GR, Deserno TM. Content-based Image Retrieval For Advancing Medical Diagnostics, Treatment, and Education New Technologies for Advancing Healthcare and Clinical Practices. June 2011:1-17.
  • Lussier YA, Bodenreider O. Clinical Ontologies for Discovery Applications In: Baker CJO, Cheung K-H, editors. Semantic Web: Revolutionizing knowledge discovery in the life sciences. New York: Springer; 2007. p. 101-119.
  • McCray AT, Bodenreider O. A Conceptual Framework for the Biomedical Domain The Semantics of Relationships: An Interdisciplinary Perspective. Boston: Kluwer Academic Publishers. 2002;:181-198.
  • Mork JG, Aronson AR. The Medical Text Indexer (MTI) system for indexing biomedical literature. book chapter submitted to monograph Indexing Specialities: Medicine. Edited by L. Pilar Wyman. Medford, NJ: Information Today, Inc., in association with the American Society of Indexers, Phoenix, AZ. 2010.
  • Neve L, Long LR, Antani SK. Software: Boundary Marking Tool 2 (BMT2)
  • 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.
  • Simpson MS, Demner-Fushman D. Biomedical Text Mining: A Survey of Recent Progress. In Charu C. Aggarwal and ChengXiang Zhai, Editors. Mining Text Data. (Springer) 2011.