Candemir S, Rajaraman S, Thoma GR, Antani SK.Deep Learning for Grading Cardiomegaly Severity in Chest X-rays: An Investigation. Proc. IEEE Life Sciences Conference (LSC 2018), Montreal, Quebec, Canada, 28 – 30 October 2018. pp. 109-113.
Sylim P, Liu F, Marcelo A, Fontelo P.Blockchain Technology for Detecting Falsified and Substandard Drugs in Distribution: Pharmaceutical Supply Chain Intervention. JMIR Res Protoc. 2018 Sep 13;7(9):e10163. doi: 10.2196/10163.
Ben Abacha A, Gayen S, Lau JJ, Rajaraman S, Demner-Fushman D.NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain. CLEF2018 Working Notes. CEUR Workshop Proceedings, Avignon, France, CEUR-WS.org (September 10-14 2018).
McDonald CJ, Maglott D, Abhyankar S, Goodwin RM, Kanduru A, Lu S, Lynch P, Vreeman D, Wang Y, Wood G.US Realm, Chapter 14, Use Case – Clinical Genomics Code Systems. in HL7 Version 2.5.1 Implementation Guide: Lab Results Interface (LRI), DTSU3. HL7 International (Ann Arbor).
McDonald CJ, Maglott D, Abhyankar S, Goodwin RM, Kanduru A, Lu S, Lynch P, Vreeman D, Wang Y, Wood G.US Realm, Chapter 5, Use Case – Clinical Genomics Results Reporting in HL7 Version 2.5.1 Implementation Guide: Lab Results Interface (LRI), DTSU3. HL7 International (Ann Arbor).
Rajaraman S, Candemir S, Xue Z, Alderson P, Kohli M, Abuya J, Thoma GR, Antani SK.A novel stacked generalization of models for improved TB detection in chest radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC 2018), Honolulu, Hawaii, 2018. pp. 718-721.
Xue Z, Rajaraman S, Long LR, Antani SK, Thoma GR.Gender Detection from Spine X-ray Images Using Deep Learning. Proc. IEEE International Symposium on Computer-Based Medical Systems (CBMS), Karlstad, Sweden, 2018. pp. 54-58, DOI:10.1109/CBMS.2018.00017.
Kim J, Candemir S, Chew E, Thoma GR.Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information. The 31th IEEE International Symposium on Computer-Based Medical Systems. (IEEE CBMS 2018), pp. 357-362, Karlstad, Sweden, June 2018.
McDonald CJ.Logical Observation Identifiers Names and Codes for In Vitro Diagnostic Test; Guidance for Industry and Food and Drug Administration Staff. Silver Spring, Md: Center for Devices and Radiological Health, FDA, 2018.
Goss FR, Lai KH, Topaz M, Acker WW, Kowalski L, Plasek JM, Blumenthal KG, Seger DL, Slight SP, Fung KW, Chang FY, Bates DW, Zhou L.A value set for documenting adverse reactions in electronic health records. J Am Med Inform Assoc. 2018 Jun 1;25(6):661-669. doi: 10.1093/jamia/ocx139.
Xue Z, Jaeger S, Antani SK, Long LR, Karargyris A, Siegelman J, Folio L, Thoma GR.Localizing tuberculosis in chest radiographs with deep learning. Proc SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105790U (6 March 2018) pp. doi: 10.1117/12.2293022
Xue Z, Antani SK, Long LR, Thoma GR.Using deep learning for detecting gender in adult chest radiographs. Proc SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105790D (6 March 2018) pp. doi: 10.1117/12.2293027.
Zohora FT, Antani SK, Santosh KC.Circle-like foreign element detection in chest x-rays using normalized cross-correlation and unsupervised clustering. Proc. SPIE 10574, Medical Imaging 2018: Image Processing, 105741V (2 March 2018); doi: 10.1117/12.2293739; doi.org/10.1117/12.2293739.