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  • Jeronimo J, Long R, Neve L, Bopf M, Antani K, Schiffman M. Digital Tools for Collecting Data from Cervigrams for Research and Training in Colposcopy J Low Genit Tract Dis. 2006 Jan;10(1):16-25.
  • Jimeno-Yepes A, Mork J, Demner-Fushman D, Aronson AR. A one-size-fits-all indexing method does not exist: automatic selection based on meta-learning. JCSE, vol. 6, no. 2, pp.151-160, 2012.
  • Kamalakannan S, Gururajan A, Sari-Sarraf H, Long LR, Antani SK. Double-edge detection of radiographic lumbar vertebrae images using pressurized open DGVF snakes. IEEE Trans Biomed Eng. 2010 Jun;57(6):1325-34. doi: 10.1109/TBME.2010.2040082. Epub 2010 Feb 17.
  • Karargyris A, Siegelman J, Tzortzis D, Jaeger S, Candemir S, Xue Z, KC S, Vajda S, Antani SK, Folio L, Thoma GR. Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. Int J Comput Assist Radiol Surg. 2016 Jan;11(1):99-106. doi: 10.1007/s11548-015-1242-x. Epub 2015 Jun 20.
  • Karargyris A, Rondonotti E, Mandelli G, Koulaouzidis A. Evaluation of 4 three-dimensional representation algorithms in capsule endoscopy images. World J Gastroenterol. 2013 Nov 28;19(44):8028-33. doi: 10.3748/wjg.v19.i44.8028.
  • Karargyris A, Candemir S, Jaeger S, Xue Z, Antani SK, Thoma GR. A Combined Approach for Lung Boundary Segmentation of Chest X-Ray Images [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • Karargyris A, Folio L, Siegelman J, Callaghan FM, Candemir S, Xue Z, Lu P-X, Wang Y, Antani SK, Thoma GR, Jaeger S. Comparing the Performance of Man and Machine for TB Screening in Chest Radiographs [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • Karargyris A, Koulaouzidis A. Capsule-odometer: a concept to improve accurate lesion localisation. World J Gastroenterol. 2013 Sep 21;19(35):5943-6. doi: 10.3748/wjg.v19.i35.5943.
  • KC S, Antani SK. Automated chest X-ray screening: Can lung region symmetry help detect pulmonary abnormalities? IEEE Transactions on Medical Imaging. doi: https://doi.org/10.1109/TMI.2017.2775636.
  • KC S, Aafaque A, Antani SK, Thoma GR. Line Segment-Based Stitched Multipanel Figure Separation for Effective Biomedical CBIR. Int. J. Patt. Recogn. Artif. Intelligence 31, 1757003 (2017) https://doi.org/10.1142/S0218001417570038.
  • KC S, Vajda S, Antani S, Thoma GR. Edge map analysis in chest X-rays for automatic pulmonary abnormality screening. Int J Comput Assist Radiol Surg. 2016 Sep;11(9):1637-46. doi: 10.1007/s11548-016-1359-6. Epub 2016 Mar 19.
  • KC S, Alam M, Roy P, Wendling L, Antani SK, Thoma GR. A simple and efficient arrowhead detection in biomedical images. International J Pattern Recognition and Artificial Intelligence (IJPRAI), 30(5), 1657002, 2016, DOI: 10.1142/S0218001416570020.
  • KC S, Wendling L, Antani SK, Thoma GR. Overlaid arrow detection for labeling biomedical image regions. IEEE Intelligent Systems, Special Issue on Pattern Recognition, 31(3):66-75, May-June 2016.DOI: 10.1109/MIS.2016.24.
  • KC S, Candemir S, Jaeger S, Folio L, Karargyris A, Antani SK, Thoma GR. Automatically detecting rotation in chest radiographs using principal rib-orientation measure for quality control. Int. J. Patt. Recogn. Artif. Intell, Vol 29 No. 2. DOI: 10.1142/S021800141.5570013
  • Kesav N, Yang Q, Losert W, Kim J, Jaeger S, Sen HN. Novel automated processing techniques of fluorescein angiography (FA) images in patients with Uveitis. Annual Meeting of the Association for Research in Vision and Ophthalmology (ARVO).
  • Kilicoglu H, Demner-Fushman D, Rindflesch TC, Wilczynski NL, Haynes RB. Towards Automatic Recognition of Scientifically Rigorous Clinical Research Evidence J Am Med Inform Assoc. 2009 Jan-Feb;16(1):25-31. Epub 2008 Oct 24.
  • 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.
  • Kim I, Le DX, Thoma GR. Automated method for extracting "citation sentences" from online biomedical articles using SVM-based text summarization technique. Proc. the 2014 IEEE Int'l Conf. on Systems, Man, and Cybernetics (SMC 2014), pp. 2006-2011, San Diego, October, 2014
  • Li J, Demner-Fushman D, Thoma GR. Localizing Text and Symbols in Images from Biomedical Journal Articles Poster at 20th NIH Research Festival (BIOINFO-6), September 2007, National Institutes of Health
  • Lingappa G, Thoma GR, Antani SK. Web Interface: MyMorph
  • Long LR, Antani SK, Deserno TM, Thoma GR. Content-based Image Retrieval in Medicine: Retrospective Assessment, State of the Art, and Future Directions Int J Healthc Inf Syst Inform. 2009 Jan 1;4(1):1-16
  • Long LR, Thoma GR. Landmarking and Feature Localization in Spine X-Rays Journal of Electronic Imaging. 2002 Oct; 10(4):939-56.
  • Long RL, Antani SK, Thoma GR. Image Informatics At a National Research Center Comput Med Imaging Graph. 2005 Mar-Apr;29(2-3):171-93. Epub 2004 Dec 21
  • Lure F, Jaeger S, Cheng G, Li H, Lu P, Yu W, Kung J, Guan Y. Applying Multi-modality Artificial Intelligence for Screening of Tuberculosis in a TB High-burden Large Rural Region in China TBScience, 50th Union World Conference on Lung Health, Hyderabad, India.
  • Lure F, Jaeger S, Antani SK. Automated Systems for microscopic and radiographic tuberculosis screening. Electronic Journal of Emerging Infectious Diseases, Vol. 2, No. 1, pp. 5-9, February 2017. [In Chinese]
  • Moallem G, Poostchi M, Yu H, Palaniappan N, Silamut K, Maude RJ, Hossain Md Amir, Jaeger S, Antani SK, Thoma GR. Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears [Poster]. Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH), Poster, 2017
  • Moallem G, Jaeger S, Poostchi M, Palaniappan N, Yu H, Silamut K, Maude RJ, Antani SK, Thoma GR. White Blood Cell Detection and Segmentation in Microscopy Images of Thin Blood Smears [Poster]. NIH Research Festival, Poster, 2017
  • Mork JG, Aronson A, Demner-Fushman D. 12 years on - Is the NLM medical text indexer still useful and relevant? J Biomed Semantics. 2017 Feb 23;8(1):8. doi: 10.1186/s13326-017-0113-5.
  • Mork JG, Bodenreider O, Demner-Fushman D, Dogan RI, Lang FM, Lu Z, Névéol A, Peters L, Shooshan SE, Aronson AR. Extracting Rx information from clinical narrative. J Am Med Inform Assoc. 2010 Sep-Oct;17(5):536-9. doi: 10.1136/jamia.2010.003970.
  • Narum R, Zou J, Antani SK. Semi-Automated Ground-Truth Data Collection and Annotation for Journal Figure Analysis [Poster]. 2016 NIH Research Festival
  • 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.
  • 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.
  • 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. 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, 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.
  • 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.
  • 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.
  • 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.
  • Roberts K, Shooshan SE, Rodriguez L, Abhyankar S, Kilicoglu H, Demner-Fushman D. The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs. J Biomed Inform. 2015 Dec;58 Suppl:S111-9. doi: 10.1016/j.jbi.2015.06.010. Epub 2015 Jun 26.
  • Rodriguez L, Morrison SM, Greenberg K, Demner-Fushman D. Towards Automatic Discovery of Genes Related to Human Placenta [Poster]. Poster Fall AMIA 2016.
  • 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.
  • Ruiz A, Allette K, Francis D, Lamping E, Jaeger S, Folio L, Apolo A. Patterns of soft tissue metastasis in patients with urothelial carcinoma using tumor volume heatmaps [Poster]. NIH Summer Research Program Poster Day, Aug 6, 2015
  • 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.
  • 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.
  • Savery M, Huston M, Mork JG, Printseva O, Rae A, Schmidt S, Demner-Fushman D. Evaluation of System for Selective Indexing Classification. AMIA Fall Symposium, 2019.
  • Simpson M, Ford G, Antani S, Demner-Fushman D, Thoma GR. A Lightweight Statistics Package for Interactive Publications Poster at 20th NIH Research Festival (TECH-15), September 2007, National Institutes of Health
  • Sneiderman CA, Demner-Fushman D, Fiszman M, Ide NC, Rindflesch TC. Knowledge-Based Methods to Help Clinicians Find Answers in MEDLINE. J Am Med Inform Assoc. 2007 Nov-Dec;14(6):772-80. Epub 2007 Aug 21.
  • 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.

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