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  • Yang F, Yu H, Silamut K, Maude RJ, Jaeger S, Antani SK. Smartphone-Supported Malaria Diagnosis Based on Deep Learning. In: Suk HI., Liu M., Yan P., Lian C. (eds) Machine Learning in Medical Imaging. MLMI 2019. Lecture Notes in Computer Science, vol 11861. Springer, Cham.
  • 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.
  • 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
  • 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.
  • Yao S, Yu H, AliAkbarpour H, Seetharaman G, Palaniappan K. EpiX: A 3D Measurement Tool for Heritage, Archeology, and Aerial Photogrammetry Heritage Preservation, pp. 47-66, 2018.
  • 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).
  • Thamizhvani TR, Lakshmanan S, Rajaraman S. Computer Aided Diagnosis of Skin Tumours from Dermal Images. Hemanth D., Smys S. (eds) Computational Vision and Bio Inspired Computing. Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham
  • Zweigenbaum P, Demner-Fushman D. Advanced Literature-Mining Tools. In Edwards D, Stajich J, and Hansen D. (Editors). Bioinformatics: Tools and Applications. Springer 2009.
  • 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.
  • 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.
  • 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
  • Folio, L, Sigelman, J, Wang, Y, Lu, P, Antani SK, Jaeger S. Automatic Identification and Classification of Tuberculosis Findings on Chest Radiographs for Global Surveillance Programs [Abstract]. Annual Meeting of the American Roentgen Ray Society (ARRS)
  • Cohen KB, Demner-Fushman D. Biomedical Natural Language Processing John Benjamins Publishing Company, 2014. DOI: 10.1075/nlp.11
  • Bodenreider O. Disease Ontologies In: Dubitzky W, Wolkenhauer O, Cho K-H, Yokota H, editors. Encyclopedia of Systems Biology: Springer; 2013. p. 578-581.
  • Gordon E, Waisberg M, Ersoy I, Pena M, Jaeger S, Pierce S. The eye as a window to investigate the CNS microvasculature during a dynamic malaria infection (Abstract). Third Annual Seminar on Molecular Imaging of Infectious Diseases, September 23, 2013.
  • Zarin D. Participant-level data and the new frontier in trial transparency [Letter]. N Engl J Med. 2013 Aug 1;369(5):468-9. doi: 10.1056/NEJMe1307268.
  • Zarin D, Tse T. Trust but verify: trial registration and determining fidelity to the protocol [Letter]. Ann Intern Med. 2013 Jul 2;159(1):65-7. doi: 10.7326/0003-4819-159-1-201307020-00011.
  • Zarin D, Tse T. Clarification about ClinicalTrials.gov [Letter]. IRB. 2013 May-Jun;35(3):19.
  • Abhyankar S, McDonald CJ. Overweight, obesity, and all-cause mortality [Letter]. JAMA. 2013 Apr 24;309(16):1680-1. doi: 10.1001/jama.2013.3092.
  • McDonald CJ, Vreeman DJ, Abhyankar S. Comment on "time to integrate clinical and research informatics" [Letter]. Sci Transl Med. 2013 Apr 3;5(179):179le1. doi: 10.1126/scitranslmed.3005700.
  • Zarin DA, Tse T. Unambiguous identification of obesity trials [Letter]. N Engl J Med. 2013 Feb 7;368(6):580-1. doi: 10.1056/NEJMc1215018.
  • 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.
  • Tse T, Zarin D, Williams R, Ide N. The role and importance of clinical trial registries and results databases In: Gallin JI, Ognibene FP, eds, Principles and Practice of Clinical Research. 3rd ed. Amsterdam: Academic Press; 2012: 171-81.
  • Zarin D. Factual Errors about ClinicalTrials.gov and other federal mandates in special report by Shuster [Letter]. Clin Transl Sci. 2012 Apr;5(2):217; author reply 217. doi: 10.1111/j.1752-8062.2012.00410.x.
  • Borovikov E, Zavorin I. A multi-stage document processing approach To Arabic text recognition. Guide to OCR for Arabic Scripts. 2012:55-78.

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