• 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.

  Abstract | pub8968.pdf
• Borovikov E, Zavorin I. A multi-stage document processing approach To Arabic text recognition. Guide to OCR for Arabic Scripts. 2012:55-78.

  Abstract
• 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
• Zweigenbaum P, Demner-Fushman D. Advanced Literature-Mining Tools. In Edwards D, Stajich J, and Hansen D. (Editors). Bioinformatics: Tools and Applications. Springer 2009.

  Abstract
• 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).

  Abstract
• Fung KW. API: RxTerms

  Abstract
• 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.

  Abstract
• 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)

  Abstract | pub9226.pdf
• Cohen KB, Demner-Fushman D. Biomedical Natural Language Processing John Benjamins Publishing Company, 2014. DOI: 10.1075/nlp.11

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

  Abstract
• 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.

  Abstract | https://link.springer.com/chapter/10.1007%2F978-3-030-11680-4_1
• 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
• Schuette P, Callaghan F, Rochester CG. Confidence intervals for binomial proportions with applications to product safety signaling in drug exposure registries [Abstract]. Proc 2011 Joint Statistical Meetings. 2011 July 30.

  Abstract | http://www.amstat.org/meetings/jsm/2011/onlineprogram/AbstractDetails.cfm?abstra...
• 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.

  Abstract
• Demner-Fushman D, Kilicoglu H. Dataset: CHQA Named Entity Dataset

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

  Abstract
• Fung KW. Dataset: CORE problem list of SNOMED CT.

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

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

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

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

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

  Abstract
• Demner-Fushman D, Roberts K. Dataset: Question Decomposition Data

  Abstract
• Demner-Fushman D, Roberts K. Dataset: Question Type Data

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

  Abstract

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