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  • Antani SK. Automated Detection of Lung Diseases in Chest X-Rays April 2015 Technical Report to the LHNCBC Board of Scientific Counselors
  • Kim J, Le DX, Thoma GR. Automated Labeling for Biomedical Journals Published in Foreign Languages Proc. 8th World Multiconference on Systemics, Cybernetics and Informatics. 2004 Jul.;:444-9.
  • 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]
  • Greenspan H, Gordon S, Zimmerman G, Lotenberg S, Jeronimo J, Antani S, Long LR. Automatic Detection of Anatomical Landmarks In Uterine Cervix Images IEEE Trans Med Imaging. 2009 Mar;28(3):454-68
  • Lotenberg S, Gordon S, Long LR, Antani SK, Jeronimo J, Greenspan H. Automatic Evaluation of Uterine Cervix Segmentations Proc. SPIE Medical Imaging 2007. Vol. 6515: 65151J-1-12.
  • Xue Z, Long LR, Antani SK, Thoma GR. Automatic Extraction of Mosaic Patterns In Uterine Cervix Images 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS) 2010. Perth, Australia. October 2010:273-8.
  • Candemir S, Jaeger S, Lin W, Xue Z, Antani SK, Thoma GR. Automatic heart localization and radiographic index computation in chest x-rays. Proc. SPIE. 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 978517. DOI: 10.1117/12.2217209.
  • Folio, L, Sigelman, J, Wang, Y, Lu, P, Antani SK, Jaeger S. Automatic Identification and Classification of Tuberculosis Findings on Chest Radiographs for Global Surveillance Programs [Abstract]. Annual Meeting of the American Roentgen Ray Society (ARRS)
  • Yao J, Antani S, Long LR, Thoma GR, Zhang Z. Automatic Medical Image Annotation and Retrieval Using SECC Proc CBMS 2006, June 2006, Salt Lake City, Utah; 105-10
  • Xue Z, Antani SK, Long LR, Thoma GR. Automatic multi-label annotation of abdominal CT images using CBIR. Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 1013807 (March 13, 2017); doi:10.1117/12.2254368.
  • KC S, Vajda S, Antani SK, Thoma GR. Automatic Pulmonary Abnormality Screening using Thoracic Edge Map. IEEE, 28th International Symposium on Computer-Based Medical Systems (CBMS), pp. 360-361, 2015.
  • Jaeger S, Karargyris A, Antani SK, Thoma GR. Automatic Screening For Lung Diseases In Chest Radiographs: a Global Health Initiative [Poster].. NIH Research Festival. October 2012.
  • Jaeger S, Karargyris A, Candemir S, Siegelman J, Folio L, Antani S, Thoma G. Automatic screening for tuberculosis in chest radiographs: a survey. Quant Imaging Med Surg. 2013 Apr;3(2):89-99. doi: 10.3978/j.issn.2223-4292.2013.04.03.
  • Jaeger S, Karargyris A, Candemir S, Folio L, Siegelman J, Callaghan FM, Xue Z, Palaniappan K, Singh RK, Antani SK, Thoma GR, Wang Y, Lu P, McDonald CJ. Automatic tuberculosis screening using chest radiographs. IEEE Trans Med Imaging. 2014 Feb;33(2):233-45. doi: 10.1109/TMI.2013.2284099. Epub 2013 Oct 1.
  • Antani SK. Automatic x-ray screening for tuberculosis. SPIE Newsroom. October 2015. DOI: 10.1117/2.1201509.006128
  • 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
  • Demner-Fushman D, Antani S, Thoma GR. Automatically Finding Images for Clinical Decision Support Proc of IEEE DM-Med 2007. Omaha, NE, October 2007, pp. 139-144
  • Zhu Y, Huang X, Wang W, Lopresti D, Long LR, Antani SA, Xue Z, Thoma GR. Balancing the Role of Priors in Multi-Observer Segmentation Evaluation J Signal Process Syst. 2008 May 28;55(1-3):185-207
  • Mao S, Thoma G. Bayesian Learning of 2D Document Layout Models for Automated Preservation Metadata Extraction Proc. of the Fourth IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP). 2004 Sept.;:329-34.
  • 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.
  • Long LR, Antani S, Lee DJ, Krainak DM, Thoma GR. Biomedical Information from a National Collection of Spine X-Rays: Film to Content-Based Retrieval Proc. of SPIE Medical Imaging: PACS and Integrated Medical Information Systems. 2003 Feb;5033: 70-84.
  • Xue Z, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Body Segment Classification for Visible Human Cross Section Slices. IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS), New York, NY, May 2014: pp. 199-204
  • Antani S, Long LR, Thoma GR. Bridging the Gap: Enabling CBIR in Medical Applications Proc IEEE CBMS. Jyvaskyla, Finland. June 2008:4-6
  • 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.
  • Chang Y, Antani S, Lee DJ, Gledhill K, Long LR, Christensen P. CBIR of Spine X-ray Images on Inter-vertebral Disc Space and Shape Profiles Proc IEEE CBMS. Jyvaskyla, Finland. June 2008:224-9.
  • Srinivasan Y, Nutter BS, Mitra SD, Yang S, Phillips B, Long LR. Challenges in Automated Detection of Cervical Intraepithelial Neoplasia Proc SPIE Medical Imaging 2007. Vol. 6514: 65140F-1-11
  • Xue Z, You D, Candemir S, Jaeger S, Antani SK, Long LR, Thoma GR. Chest X-ray Image View Classification The 28th IEEE International Symposium on Computer-Based Medical Systems
  • Jaeger S. Chest X-ray Screening System: Segmentation Module – v3
  • 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.
  • Liang Z, Powell A, Ersoy I, Poostchi M, Silamut K, Palaniappan K, Guo P, Hossain M, Antani SK, Maude R, Huang J, Jaeger S, Thoma GR. CNN-Based Image Analysis for Malaria Diagnosis. IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Shenzhen, China, 2016.
  • 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.
  • Demner-Fushman D, Antani SK, Simpson M, Thoma GR. Combining Medical Domain Ontological Knowledge and Low-level Image Features for Multimedia Indexing Procf OntoImage 2008, part of LREC 2008. Marrakech, Morrocco. May 2008:CDROM Proceedings
  • Mao S, Mansukhani P, Thoma GR. Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents Proc IEEE CVPR, Minneapolis, Minnesota, June 2007, pp. 1-8.
  • Xue Z, Antani SK, Long LR, Thoma GR. Comparative Performance Analysis of Cervix ROI Extraction and Specular Reflection Removal Algorithms for Uterine Cervix Image Analysis Proc SPIE Medical Imaging 2007. Vol. 6512: 65124I-1-9
  • Rajaraman S, Antani SK, Candemir S, Xue Z, Abuya J, Kohli M, Alderson P, Thoma GR. Comparing deep learning models for population screening using chest radiography. Proc. SPIE 10575, Medical Imaging 2018: Computer-Aided Diagnosis, 105751E (27 February 2018).
  • 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.
  • 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
  • Long LR, Thoma GR. Computer-Assisted Retrieval of Biomedical Image Features from Spine X-Rays: Progress and Prospects Proceeding of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS). 2001 Jul;:46-50.
  • Gordon S, Zimmerman G, Long LR, Antani S, Jeronimo J, Greenspan H. Content Analysis of Uterine Cervix Images: Initial Steps Towards Content Based Indexing and Retrieval of Cervigrams Proc of SPIE Vol. 6144 61444U-7
  • De Herrera A, Long LR, Antani SK. Content-Based fMRI Brain Maps Retrieval. International Conference on Brain and Health Informatics, Omaha, NE, USA, October 13-16, 2016.
  • Antani S, Long R, Thoma GR. Content-Based Image Retrieval for Large Biomedical Image Archives Medinfo. 2004 Sept.;2004: 829-833.
  • 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
  • Deserno TM, Long LR, Greenspan H. Content-based Image Retrieval: Major Challenges for Biomedical Applications Intl Journal of Healthcare Information Systems and Informatics. January 2009;4(1):i-iii
  • De Herrera A, Long LR, Antani SK. Content–based fMRI activation maps retrieval [Poster]. BIH 2016: Brain Informatics and Health pp 173-180, October 13-16, 2016.
  • Almubarak HA, Stanley RJ, Long LR, Antani SK, Thoma GR, Zuna R, Frazier SR. Convolutional Neural Network Based Localized Classification of Uterine Cervical Cancer Digital Histology Images. Procedia Computer Science, Volume 114, 2017, Pages 281-287, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2017.09.044.
  • Xu X, Lee DJ, Antani S, Long LR. Curve Matching for Spine X-ray Image Retrieval Using Dynamic Programming Proc. 8th World Multiconference on Systemics, Cybernetics and Informatics. 2004 Jul.;12:172-6.
  • Tezmol A, Sari-Sarraf H, Mitra S, Long R, Gururajan A. Customized Hough Transform for Robust Segmentation of Cervical Vertebrae from X-Ray Images SSIAI. 2002;: 224-228.
  • Thoma GR, Razi A, Seamans J, Strupp-Adams A, Edwards L, Gao J, Ledoux MT. Dataset: AnatQuest
  • 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.
  • 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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