You are here

  • Sarrouti M, Quatik EL, Alaoui S. SemBioNLQA: A semantic biomedical question answering system for retrieving exact and ideal answers to natural language questions. Artif Intell Med. 2020 Jan;102:101767. doi: 10.1016/j.artmed.2019.101767. Epub 2019 Nov 28.
  • Zeiss CJ, Donwook S, Vander Wyk B, Beck AP, Zatz N, Sneiderman CA, Kilicoglu H. Menagerie: A text-mining tool to support animal-human translation in neurodegeneration research. PLoS One. 2019 Dec 17;14(12):e0226176. doi: 10.1371/journal.pone.0226176. eCollection 2019.
  • 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.
  • Zou J, Antani SK, Thoma G. Unified Deep Neural Network for Segmentation and Labeling of Multi-Panel Biomedical Figures Journal of the Association for Information Science and Technology (JASIST), 2019
  • Zou J. Unified Deep Neural Network for Segmentation and Labeling of Multi-Panel Biomedical Figures Journal of the Association for Information Science and Technology (JASIST), 2019
  • Kho SU, Sheth A, Bodenreider O. Automatic Identification of Individual Drugs in Death Certificates. Stud Health Technol Inform. 2019 Aug 21;264:183-187. doi: 10.3233/SHTI190208.
  • 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.
  • Allam A, Magy M, Thoma G, Krauthammer M. Neural networks versus Logistic regression for 30 days all-cause readmission prediction. Sci Rep. 2019 Jun 26;9(1):9277. doi: 10.1038/s41598-019-45685-z.
  • 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
  • Kim I, Rajaraman S, Antani SK. Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image Modalities. Diagnostics (Basel). 2019 Apr 3;9(2). pii: E38. doi: 10.3390/diagnostics9020038.
  • 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.
  • Candemir S, Antani SK. A review on lung boundary detection in chest X-rays. Int J Comput Assist Radiol Surg. 2019 Feb 7. doi: 10.1007/s11548-019-01917-1.
  • Zolnoori M, Fung K, Patrick TB, Fontelo P, Kharrazi H, Faiola A, Wu YSS, Eldredge CE, Luo J, Conway M, Zhu J, Park SK, Xu K, Moayyed H, Goudarzvand S. A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications. NCBINCBI Logo Skip to main content Skip to navigation Resources How To About NCBI Accesskeys PubMed US National Library of Medicine National Institutes of Health Search databaseSearch term 30611893[uid] Clear inputSearch Create RSSCreate alertAdvancedHelp Result Filters Format: AbstractSend to J Biomed Inform. 2019 Feb;90:103091. doi: 10.1016/j.jbi.2018.12.005. Epub 2019 Jan 4.
  • Lu C, Aronson, AR, Shooshan SE, Demner-Fushman D. Spell checker for consumer language (CSpell). J Am Med Inform Assoc. 2019 Jan 21. doi: 10.1093/jamia/ocy171. [Epub ahead of print]
  • Hu L, Bell D, Antani SK, Xue Z, Yu K, Horning MP, Gachuhi N, Wilson B, Jaiswal MS, Befano B, Long LR, Herrero R, Einstein MH, Burk RD, Demarco M, Gage JC, Wentzensen N, Schiffman M. An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening. J Natl Cancer Inst. 2019 Jan 10. doi: 10.1093/jnci/djy225
  • Jaeger S, Juarez-Espinosa OH, Candemir S, Poostchi M, Yang F, Kim L, Ding M, Folio LR, Antani SK, Gabrielian A, Hurt D, Rosenthal A, Thoma GR. Detecting drug-resistant tuberculosis in chest radiographs. Int J Comput Assist Radiol Surg. 2018 Dec;13(12):1915-1925. doi: 10.1007/s11548-018-1857-9. Epub 2018 Oct 3.
  • Lau JJ, Gayen S, Ben Abacha A, Demner-Fushman D. A dataset of clinically generated visual questions and answers about radiology images. Sci Data. 2018 Nov 20;5:180251. doi: 10.1038/sdata.2018.251.
  • Dhoot R, Humphrey JM, O'Meara P, Gardner A, McDonald CJ, Ogot K, Antani SK, Abuya J, Kohli M. Implementing a mobile diagnostic unit to increase access to imaging and laboratory services in western Kenya. BMJ Glob Health. 2018 Oct 8;3(5):e000947. doi: 10.1136/bmjgh-2018-000947. eCollection 2018.
  • Poostchi M, Ilker E, McMenamin K, Gordon E, Palaniappan N, Pierce S, Maude RJ, Bansal A, Srinivasan P, Miller L, Palaniappan K, Thoma GR, Jaeger S. Malaria parasite detection and cell counting for human and mouse using thin blood smear microscopy. J Med Imaging (Bellingham). 2018 Oct;5(4):044506. doi: 10.1117/1.JMI.5.4.044506. Epub 2018 Dec 12.
  • Zolnoori M, Fung K, Fontelo P, Kharrazi H, Faiola A, Wu YSS, Stoffel V, Patrick T. Identifying the Underlying Factors Associated With Patients' Attitudes Toward Antidepressants: Qualitative and Quantitative Analysis of Patient Drug Reviews. JMIR Ment Health. 2018 Sep 30;5(4):e10726. doi: 10.2196/10726.
  • Jaeger S, Antani SK, Rajaraman S, Yang F, Yu H. Malaria Screening: Research into Image Analysis and Deep Learning. Report to the Board of Scientific Counselors September 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).
  • Vajda S, Karargyris A, Jaeger S, Santosh KC, Candemir S, Xue Z, Antani SK, Thoma GR. Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. J Med Syst. 2018 Jun 29;42(8):146. doi: 10.1007/s10916-018-0991-9.
  • Rajaraman S, Silamut K, Hossain MA, Ersoy I, Maude RJ, Jaeger S, Thoma GR, Antani SK. Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images. J Med Imaging (Bellingham). 2018 Jul;5(3):034501. doi: 10.1117/1.JMI.5.3.034501. Epub 2018 Jul 18.
  • Thamizhvani TR, Lakshmanan S, Rajaraman S. Mobile application-based computer-aided diagnosis of skin tumours from dermal images. The Imaging Science Journal, 66:6, 382-391, 2018, DOI: 10.1080/13682199.2018.1492682
  • 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.
  • 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.
  • 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.
  • Sornapudi S, Stanley RJ, Stoecker WV, Almubarak H, Long LR, Antani SK, Thoma GR, Zuna R, Frazier SR. Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels. J Pathol Inform. 2018 Mar 5;9:5. doi: 10.4103/jpi.jpi_74_17. eCollection 2018.
  • Santosh KC, Antani SK. Automated chest x-ray screening: Can lung region symmetry help detect pulmonary abnormalities? doi: 10.1109/TMI.2017.2775636 vol. 37, no. 5, 1168-1177.
  • Vreeman DJ, Abhyankar S, McDonald CJ. Re: Unit conversions between LOINC codes Published June 19, 2017 [Letter]. J Am Med Inform Assoc. 2018 May 1;25(5):614-615. doi: 10.1093/jamia/ocx087.
  • Rajaraman S, Antani SK, Poostchi Mohammadabadi M, Silamut K, Hossain MA, Maude RJ, Jaeger S, Thoma GR. Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images. PeerJ. 2018 Apr 16;6:e4568. doi: 10.7717/peerj.4568. eCollection 2018.
  • Huser V, Shmueli-Blumberg D. Data sharing platforms for de-identified data from human clinical trials. Clin Trials. 2018 Apr 1:1740774518769655. doi: 10.1177/1740774518769655. [Epub ahead of print]
  • 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).
  • Tang P, McDonald CJ. Computer-Based Patient-Record Systems - Chapter 9. In Shortliffe E, Perreault L, eds. Medical Informatics. New York: springer. 2001:327-358. DOI: 10.1007/978-0-387-21721-5_9.
  • 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
  • Zhang Y, Baik SH, Zuvekas SH. Simulating Variation in Families' Spending across Marketplace Plans. Health Serv Res. 2018 Feb 14. doi: 10.1111/1475-6773.12831. [Epub ahead of print]
  • Kilicoglu H, Ben Abacha A, Mrabet Y, Shooshan SE, Rodriguez L, Masterton K, Demner-Fushman D. Semantic annotation of consumer health questions. BMC Bioinformatics. 2018 Feb 6;19(1):34. doi: 10.1186/s12859-018-2045-1.
  • Zweigenbaum P, Demner-Fushman D. Advanced Literature-Mining Tools. In Edwards D, Stajich J, and Hansen D. (Editors). Bioinformatics: Tools and Applications. Springer 2009.
  • Janakiram C, Chalmers NI, Fontelo P, Huser V, Lopez Mitnik GL, Iafolla TJ, Brow AR, Dye BA. Gender and Race/ethnic Disparities in Opioid Prescriptions for Dental Diagnoses among Patients with Medicaid. J Am Dent Assoc, 2018. 149(4): p. 246-255.
  • Demner-Fushman D. A dataset of 200 structured product labels annotated for adverse drug reactions. Sci Data. 2018 Jan 30;5:180001. doi: 10.1038/sdata.2018.1.
  • McDonald CJ. Top LOINC Codes – Orders and Observations
  • Poostchi M, Silamut K, Maude RJ, Jaeger S, Thoma GR. Image analysis and machine learning for detecting malaria. Transl Res. 2018 Apr;194:36-55. doi: 10.1016/j.trsl.2017.12.004. Epub 2018 Jan 12.
  • Baik SH, Kury F, McDonald CJ. Risk of Alzheimer's Disease Among Senior Medicare Beneficiaries Treated With Androgen Deprivation Therapy for Prostate Cancer. J Clin Oncol. 2017 Oct 20;35(30):3401-3409. doi: 10.1200/JCO.2017.72.6109. Epub 2017 Aug 25.
  • Fung K. Medical Terminologies in Action Technical Report to the LHNCBC Board of Scientific Counselors September 2017
  • Coakley M, Hurt D, Weder N, Mtingwa M, Fincher EC, Alekseyev V, Chen D, Yun A, Gizaw M, Swan J, Yoo TS, Huyen Y. The NIH 3D Print Exchange: A Public Resource for Bioscientific and Biomedical 3D Prints 3D Print Additive Manufacturing, Sep. 1, 2014, 1(3):137-140.
  • Sun H, Li J, Wu Y, Wang L, Fung K. Using an Ontology-Based Approach to Handle Author Affiliations in a Large Biomedical Citation Database. Stud Health Technol Inform. 2017;245:1338.
  • Abhyankar S, Vreeman DJ, Westra BL, Delaney CW. Comments on the Use of LOINC and SNOMED CT for Representing Nursing Data [Letter]. Int J Nurs Knowl. 2017 Aug 30. doi: 10.1111/2047-3095.12183. [Epub ahead of print]
  • Mundkur ML, Callaghan FM, Abhyankar S, McDonald CJ. Use of Electronic Health Record Data to Evaluate the Impact of Race on 30-Day Mortality in Patients Admitted to the Intensive Care Unit. J Racial Ethn Health Disparities. 2017 Aug;4(4):539-548. doi: 10.1007/s40615-016-0256-6. Epub 2016 Jun 20.

Pages