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  • Bodenreider O. Using UMLS semantics for classification purposes. Proc AMIA Symp. 2000:86-90.
  • Hauser SE, Demner-Fushman D, Jacobs JL, Humphrey SM, Ford G, Thoma GR. Using Wireless Handheld Computers to Seek Information at the Point of Care: An Evaluation by Clinicians. J Am Med Inform Assoc. 2007 Nov-Dec;14(6):807-15. Epub 2007 Aug 21.
  • Huang KC, Geller J, Halper M, Perl Y, Xu J. Using WordNet synonym substitution to enhance UMLS source integration. Artif Intell Med. June 2009;46(2):97-109. doi: 10.1016/j.artmed.2008.11.008. Epub 2008 Dec 30.
  • Mougin F, Burgun A, Bodenreider O. Using WordNet to Improve the Mapping of Data Elements to UMLS for Data Sources Integration AMIA Annu Symp Proc. 2006:574-8
  • Rondonotti E, Koulaouzidis A, Karargyris A, Giannakou A, Fini L, Soncini M, Pennazio M, Douglas S, Shams A, Lachlan N, Zahid A, Mandelli G, Girelli C. Utility of 3-dimensional image reconstruction in the diagnosis of small-bowel masses in capsule endoscopy (with video). Gastrointest Endosc. 2014 Oct;80(4):642-51. doi: 10.1016/j.gie.2014.04.057. Epub 2014 Jul 3.
  • Fung KW, Bodenreider O. Utilizing the UMLS for Semantic Mapping between Terminologies. AMIA Annu Symp Proc. 2005:266-70.
  • Antani S, Long LR, Thoma GR, Stanley RJ. Vertebra Shape Classification using MLP for Content-Based Image Retrieval International Neural Networks Society and IEEE Neural Networks Society. 2003 July 2003;:160-65.
  • Jeronimo J, Massad LS, Schiffman M for the NIH-ASCCP Research Group. Visual Appearance of the Uterine Cervix: Correlation with Human Papillomavirus Detection and Type Am J Obstet Gynecol. 2007 Jul;197(1):47.e1-8
  • 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.
  • Rajaraman S, Candemir S, Kim I, Thoma GR, Antani SK. Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs. Appl. Sci. 2018, 8, 1715.
  • Ozturk S, Kayaalp M, McDonald CJ. Visualization of patient prescription history data in emergency care. AMIA Annu Symp Proc. 2014 Nov 14;2014:963-8. eCollection 2014.
  • Kim J, Lobuglio PS, Thoma GR. Visualization of Statistics from MEDLINE. 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS 2016), Dublin and Belfast, Ireland, pp. 290-291, June, 2016.
  • Rajaraman S, Antani SK, Xue Z, Candemir S, Jaeger S, Thoma GR. Visualizing abnormalities in chest radiographs through salient network activations in Deep Learning. Proc. IEEE Life Sciences Conference (LSC), Sydney, Australia, 2017. pp. 71-74, DOI:10.1109/LSC.2017.8268146.
  • Rajaraman S, Candemir S, Thoma G, Antani SK. Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs. Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 109500S (13 March 2019); doi: 10.1117/12.2512752.
  • Rajaraman S, Antani SK, Jaeger S. Visualizing Deep Learning Activations for Improved Malaria Cell Classification. Proceedings of The First Workshop in Medical Informatics and Healthcare (MIH 2017), Proceedings of Machine Learning Research (PMLR), v. 69, p. 40-47.
  • Rajaraman S, Antani SK. Visualizing Salient Network Activations in Convolutional Neural Networks for Medical Image Modality Classification. Santosh K., Hegadi R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1036. Springer, Singapore
  • Mork JG, Demner-Fushman D, Schmidt SC, Aronson A. Vocabulary Density Method for Personalized Indexing of MEDLINE Journals [Poster]. 2014 AMIA Symposium.
  • Ben Abacha A, Hasan SA, Datls W, Liu J, Demner-Fushman D, Muller H. VQA-Med: Overview of the medical visual question answering task at imageclef 2019. CEUR Workshop Proceedings, 9-12, 2019.
  • Ben Abacha A, Hasan S, Datla V, Liu J, Demner-Fushman D, Muller H. VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019. Lecture Notes in Computer Science.
  • Srinivasan P, Mitchell JA, Bodenreider O, Pant G, Menczer F. Web Crawling Agents for Retrieving Biomedical Information Proc. of the International Workshop on Bioinformatics and Multi-Agent Systems (BIXMAS). 2002 Jul.
  • Morrison SM. Web Interface: Genetics Home Reference
  • Fung KW. Web Interface: I-Magic SNOMED-CT to ICD-10-CM code mapping tool.
  • Lingappa G, Thoma GR, Antani SK. Web Interface: MyMorph
  • Demner-Fushman D, Antani SK, Simpson M. Web Interface: Open-I
  • Bodenreider O. Web Interface: RxMix

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