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  • Parascandola J. Public Health Service, Militarization of the PHS Commissioned Corps Militarization of the PHS Commissioned Corps. 2001 Sept.
  • Parascandola J. The Contributions of David L. Cowen Publ Am Inst Hist Pharm. 2001;19:1-3.
  • Parascandola J. The Pharmaceutical Sciences in America, 1852-1902 Journal of the American Pharmaceutical Association. 2000;40 (2000): 733-735.
  • Parascandola J. To Bond or Not to Bond: Chemical Versus Physical Theories of Drug Action Bulletin for the History of Chemistry. 2003;28: 1-8.
  • Patel CO, Cimino JJ. Using Semantic and Structural Properties of the UMLS to Discover Potential Terminological Relationships AMIA Annu Symp Proc. 2008 Nov 6:555.
  • Pathak J, Peters L, Chute CG, Bodenreider O. Comparing and evaluating terminology services application programming interfaces: RxNav, UMLSKS and LexBIG. J Am Med Inform Assoc. 2010 Nov-Dec;17(6):714-9. doi: 10.1136/jamia.2009.001149.
  • Payne TH, Corley S, Cullen TA, Gandhi TK, Harrington L, Kuperman GJ, Makar E, Mattison JE, McCallie DP, McDonald CJ, Tang PC, Tierney WM, Weaver C, Weir CR, Zaroukian MH. Report of the AMIA EHR-2020 Task Force on the status and future direction of EHRs J Am Med Inform Assoc. 2015 Sep;22(5):1102-10. doi: 10.1093/jamia/ocv066. Epub 2015 May 28.
  • Pearson G, Gill MJ. An Evaluation of Motion JPEG 2000 for Video Archiving. Proc. Archiving 2005. Washington, D.C. April 2005:237-43.
  • Pearson G, Gill MJ, Antani SK, Neve L, Miernicki G, Phichaphop K, Kanduru A, Jaeger S, Thoma GR. The Role of Location For Family Reunification During Disasters. HealthGIS 2012. Redondo Beach, CA. November 2012.
  • Pearson G, Gill M, Thoma G. Web screening of US nursing homes by location and quality. AMIA Annu Symp Proc. 2008 Nov 6:576-80.08:576-80.
  • Pearson G. Methods to Store Metadata within Motion JPEG 2000 Files. Technical Report Preprint. May 2005.
  • Pearson G, Moon CW. Bridging Two Biomedical Journal Databases with XML - A Case Study. Proc. 14th IEEE Symposium on Computer-Based Medical Systems: IEEE Computer Society. 2001 Jul;:309-14.
  • Pedrosa G, Rahman MM, Antani SK, Demner-Fushman D, Long LR, Traina A. Integrating visual words as bunch of n-grams for effective biomedical image classification. Proceedings of IEEE WACV 2014: IEEE Winter Conference on Applications of Computer Vision. Steamboat Springs, CO. March 24-26, 2014.
  • Peters L, Nguyen T, Bodenreider O. Terminology Status APIs - Mapping Obsolete Codes to Current RxNorm, SNOMED CT, and LOINC Concepts. Stud Health Technol Inform. 2017;245:1333.
  • Peters L, Nguyen T, Bodenreider O. Displaying drug classes in RxNav [Poster]. AMIA Annu Symp Proc, 2013: p. 1134.
  • Peters L, Mortensen J, Nguyen T, Bodenreider O. Enabling complex queries to drug information sources through functional composition. Stud Health Technol Inform. 2013;192:692-6.
  • Peters L, Nguyen T, Bodenreider O. RxBatch – Batch operations for RxNorm and NDF-RT APIs (Poster). AMIA Annu Symp Proc, 2012: p. 1897.
  • Peters L, Nguyen T, Bodenreider O. An application programming interface for NDF-RT AMIA Annu Symp Proc 2011:1922
  • Peters L, Kapusnik-Uner JE, Nguyen T, Bodenreider O. An approximate matching method for clinical drug names. AMIA Annu Symp Proc. 2011;2011:1117-26. Epub 2011 Oct 22.
  • Peters L, Kapusnik-Uner JE, Bodenreider O. Methods for managing variation in clinical drug names. AMIA Annu Symp Proc. 2010 Nov 13;2010:637-41.
  • Peters L, Bodenreider O. Using the RxNorm Web Services API for Quality Assurance Purposes AMIA Annu Symp Proc. 2008 Nov 6:591-5.
  • Peters LB, Bodenreider O. Approaches to Supporting the Analysis of Historical Medication Datasets with RxNorm. AMIA Annu Symp Proc. 2015 Nov 5;2015:1034-41. eCollection 2015.
  • Peters LB, Bahr N, Bodenreider O. Evaluating drug-drug interaction information in NDF-RT and DrugBank. J Biomed Semantics. 2015 May 11;6:19. doi: 10.1186/s13326-015-0018-0. eCollection 2015.
  • Peters TM, Linte CA, Yaniv Z, Williams J. Mixed and Augmented Reality in Medicine. CRC Press.
  • Plaza L, Jimeno-Yepes A, Diaz A, Aronson AR. Studying the correlation between different word sense disambiguation methods and summarization effectiveness in biomedical texts. BMC Bioinformatics. 2011 Aug 26;12:355. doi: 10.1186/1471-2105-12-355.
  • Pontet F, Magdal Petersen U, Fuentes-Arderiu X, Nordin G, Bruunshuus I, Ihalainen J, Karlsson D, Forsum U, Dybkaer R, Schadow G, Kuelpmann W, Ferard G, Kang D, McDonald C, Hill G. Clinical laboratory sciences data transmission: the NPU coding system. Stud Health Technol Inform. 2009;150:265-9.
  • 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.
  • 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.
  • Potter M, Yaniv Z. Cost-effective surgical registration using consumer depth cameras . Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 97861W (March 24, 2016); doi:10.1117/12.2217515
  • Powell T, Srinivasan S, Nelson SJ, Hole WT, Roth L, Olenichev V. Tracking meaning over time in the UMLS Metathesaurus. Proc AMIA Symp. 2002:622-6.
  • Prettyman, M, Antonucci, R, Lynch P, Mericle L. Electronic Publication of Health Information in an Objected-Oriented Environment. Proceedings of the 62nd Annual Meeting of the American Society for Information Science. Washington, DC, October 1999.
  • Qian X, Tagare HD, Fulbright RK, Long LR, Antani SK. Optimal embedding for shape indexing in medical image databases. Med Image Anal. 2010 Jun;14(3):243-54. doi: 10.1016/j.media.2010.01.001. Epub 2010 Jan 20.
  • Qian X, Tagare HD, Fulbright R, Long R, Antani S. Shape Indexing in Medical Image Databases Using Pre-Shape Embedding Proc. Distributed Databases and Processing in Medical Image Computing, MICCAI. 2004 Sept.;: 36-44.
  • Rae A, Kim J, Le DX, Thoma GR. Main Content Detection in HTML Journal Articles. DocEng ’18: ACM Symposium on Document Engineering 2018, August 28–31, 2018, Halifax, NS, Canada. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3209280.3229115
  • Rahman MM, Antani SK, Demner-Fushman D, Thoma GR. Biomedical image representation approach using visualness and spatial information in a concept feature space for interactive region-of-interest-based retrieval. J Med Imaging (Bellingham). 2015 Oct;2(4):046502. doi: 10.1117/1.JMI.2.4.046502. Epub 2015 Dec 30.
  • Rahman MM, Antani SK, Demner-Fushman D, Thoma GR. A visual concept-based interactive biomedical image retrieval using entropy and spatial information. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180U. (March 17, 2015) doi: 10.1117/12.2081456.
  • Rahman MM, You D, Simpson MS, Antani SK, Demner-Fushman D. Interactive Cross and Multimodal Biomedical Image Retrieval Based on Automatic Region-Of-Interest (ROI) Identification and Classification. International Journal of Multimedia Information Retrieval (MMIR) 2014 Sep;3(3):131-146.
  • Rahman MM, Antani SK, Demner-Fushman D, Thoma GR. Biomedical image representation and classification using an entropy-weighted probabilistic concept feature space. Proc. SPIE. 9039. Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations. 90390G.
  • Rahman MM, Antani SK, Demner-Fushman D, Thoma GR. An Interactive Region-Of-interest (ROI)- Based Image Retrieval Approach of Biomedical Articles in a Local Concept- Based Feature Space [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • Rahman MM, You D, Simpson M. An interactive image retrieval framework for biomedical articles based on visual region-of-interest (ROI) identification and classification [Abstract]. The 2nd IEEE Conference on Healthcare Informatics, Imaging, and Systems Biology Analyzing Big Data for Healthcare and Biomedical Sciences (HISB 2012). La Jolla, CA. September 2012.
  • Rahman MM, Antani SK, Thoma GR. A Query Expansion Framework in Image Retrieval Domain Based on Local and Global Analysis. Inf Process Manag. 2011 Sep 1;47(5):676-691.
  • Rahman MM, Antani SK, Thoma GR. A learning-based similarity fusion and filtering approach for biomedical image retrieval using SVM classification and relevance feedback. IEEE Trans Inf Technol Biomed. 2011 Jul;15(4):640-6. doi: 10.1109/TITB.2011.2151258. Epub 2011 Jun 16.
  • Rahman MM, Antani SK, Thoma GR. Bag of Keypoints-Based Biomedical Image Search With Affine Covariant Region Detection and Correlation-Enhanced Similarity Matching. 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS ) 2010. Perth, Australia. October 2010:261-6.
  • Rahman MM, Antani SK, Thoma GR. Biomedical Image Retrieval In a Fuzzy Feature Space With Affine Region Detection and Vector Quantization of a Scale-Invariant Descriptor. 6th International Symposium on Visual Computing (ISVC) 2010. Las Vegas, NV. November 2010.
  • Rahman MM, Antani SK, Thoma GR. Local Concept-Based Medical Image Retrieval With Correlation-Enhanced Similarity Matching Based On Global Analysis IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA10) in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2010. June 2010:87-94
  • Rahman MM, Antani S, Long LR, Demner-Fushman D, Thoma GR. Multi-Modal Query Expansion Based on Local Analysis for Medical Image Retrieval. Lecture Notes in Computer Science. First MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2009); part of the 12th International Conference on Medical Image Computing and Computer Assisted Interventio February 2010;5853/2010(doi: 10.1007/978-3-642-11769-5):110-9..
  • Rahman MM, Antani SK, Thoma GR. A Classification-Driven Similarity Matching Framework For Retrieval of Biomedical Images. 11th ACM International Conference on Multimedia Information Retrieval (MIR 2010). 2010:147-154.
  • Rajaraman S, Jaeger S, Antani SK. Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images. PeerJ 7:e6977
  • 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, 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.

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