• 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.

  Abstract | pub10001.pdf

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• 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.

  Abstract | pub9960.pdf

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• 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

  Abstract | URL:  https://link.springer.com/chapter/10.1007/978-3-030-15719-7_40

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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).

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• 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

  Abstract | pub9746.pdf

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• Jaeger S. Malaria Datasets

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• Candemir S. Chest X-ray Screening System: Segmentation Module – v3

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• 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.

  Abstract | pub9450.pdf

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• 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

  Abstract | URL:  http://www.igi-global.com/chapter/parallel-computing-in-face-image-retrieval/163...

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• Antani SK. Tuberculosis Chest X-ray Image Data Sets

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• 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.

  Abstract | pub2013-013.pdf | PMID:  23613065 | URL:  http://jama.jamanetwork.com/article.aspx?articleid=1681396

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• 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.

  Abstract | PMID:  23552367

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• Fung K. Dataset: SNOMED CT to ICD-10 Cross Map

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• 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.

  Abstract | pub2012015.pdf

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• Fung K. Dataset: SNOMED CT to ICD-10-CM Map

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• Fung KW. Dataset: ICD-9-CM to SNOMED CT Map

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• Fung KW. Web Interface: I-Magic SNOMED-CT to ICD-10-CM code mapping tool.

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• Abhyankar S, Goodwin RM, Zuckerman A, McDonald CJ. Dataset: newborn screening results annotated example HL7 electronic message guidance (v 5.2).

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• Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: Newborn screening LOINC panel.

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• Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: newborn screening LOINC codes (AHIC panel).

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• McDonald CJ, Abhyankar S, Taft L. Dataset: common units of measure - subset of the Unified Code for Units of Measure.

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• Fung KW. Dataset: Nursing Problem List Subset of SNOMED CT

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• Fung KW. API: RxTerms

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• Fung KW. Dataset: SNOMED CT route of administration subset.

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• Neve L, Long LR, Antani SK. Software: Boundary Marking Tool 2 (BMT2)

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