You are here

  • 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.
  • 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).
  • Fung KW. API: RxTerms
  • Candemir S. Chest X-ray Screening System: Segmentation Module – v3
  • 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.
  • 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
  • McDonald CJ, Abhyankar S, Taft L. Dataset: common units of measure - subset of the Unified Code for Units of Measure.
  • Fung KW. Dataset: CORE problem list of SNOMED CT.
  • Fung KW. Dataset: ICD-9-CM to SNOMED CT Map
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: newborn screening LOINC codes (AHIC panel).
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: Newborn screening LOINC panel.
  • Abhyankar S, Goodwin RM, Zuckerman A, McDonald CJ. Dataset: newborn screening results annotated example HL7 electronic message guidance (v 5.2).
  • Fung KW. Dataset: Nursing Problem List Subset of SNOMED CT
  • Fung KW. Dataset: SNOMED CT route of administration subset.
  • Fung K. Dataset: SNOMED CT to ICD-10 Cross Map
  • Fung K. Dataset: SNOMED CT to ICD-10-CM Map
  • 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.
  • 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.
  • Jaeger S. Malaria Datasets
  • 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
  • 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.
  • 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
  • Thoma GR. Public Access to Anatomic Images Chapter in: Medical Informatics: Knowledge Management and Data Mining in Biomedicine
  • 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.
  • Neve L, Long LR, Antani SK. Software: Boundary Marking Tool 2 (BMT2)

Pages