You are here

  • Felts RL, Bennett A, Shi D, Freed E, Lifson J, Lowekamp B, Yoo TS, Bliss D, Subramaniam S. 3D Imaging of HIV transmission and entry using electron tomography and ion-abrasion scanning electron microscopy. Three Dimensional Electron Microscopy: Technical Advances and Recent Breakthroughs in 3DEM. Gordon Research Conference; 2008 Jun 15-20; Lucca (Barga), Italy.
  • Antani S, Long LR, Thoma GR. A Biomedical Information System for Combined Content-Based Retrieval of Spine X-ray Images and Associated Text Information 3rd Indian Conference on Computer Vision, Graphics, and Image Processing. 2002 Dec.
  • 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.
  • Xue Z, Bryant B, Long LR, Sari-Sarraf H, Thoma GR, Wachtel M. A Client-Server Tool for Automatic Fast GPU-based Detection of Squamous Epithelium Tissue Regions in Histology Images [Poster]. RSNA 2014. Chicago, USA, Nov 30-Dec 5, 2014
  • 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.
  • You D, Antani SK, Demner-Fushman D, Thoma GR. A Contour-based Shape Descriptor For Biomedical Image Classification and Retrieval. Proceedings of SPIE 2014, Vol. 9021, Document Recognition and Retrieval XXI. February 2014;9021.
  • 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.
  • Demner-Fushman D, Antani S, Kalpathy-Cramer J, Müller H. A decade of community-wide efforts in advancing medical image understanding and retrieval. Comput Med Imaging Graph. 2015 Jan;39:1-2. doi: 10.1016/j.compmedimag.2014.12.002.
  • Kim E, Huang X, Tan G, Long LR, Antani S. A Hierarchical SVG Image Abstraction Layer for Medical Imaging Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications. San Diego, California. March 2010;7628
  • Rae A, Savery M, Mork JG, Demner-Fushman D. A High Recall Classifier for Selecting Articles for MEDLINE Indexing. AMIA Fall Symposium, 2019.
  • Bryant B, Sari-Sarraf H, Long LR, Antani SK. A Kernel Support Vector Machine Trained Using Approximate Global and Exhaustive Local Sampling. Proceedings of the 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) 2017, Austin, Texas, USA, December 2017. Pp. 267-8 DOI: https://doi.org/10.1145/3148055.3149206
  • 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.
  • Krainak DM, Long LR, Thoma GR. A Method of Content-Based Retrieval for a Spinal X-Ray Image Database Proc. of SPIE Medical Imaging: PACS and Integrated Medical Systems. 2002 Feb;4685.
  • You D, Antani SK, Demner-Fushman D, Thoma GR. A MRF Model for Biomedical Image Segmentation. CBMS 2014. May 2014.
  • Xu T, Xin C, Long LR, Antani SK, Xue Z, Kim E, Huang X. A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation. Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015, LNCS 9352, pp. 26–35, 2015. DOI: 10.1007/978-3-319-24888-2 4.
  • Cheng B, Stanley RJ, Antani SK, Thoma GR. A Novel Computational Intelligence-based Approach For Medical Image Artifacts Detection Proceedings of the 2010 International Conference on Artificial Intelligence and Pattern Recognition. Orlando, FL. July 2010:113-20
  • Rajaraman S, Candemir S, Xue Z, Alderson P, Kohli M, Abuya J, Thoma GR, Antani SK. A novel stacked generalization of models for improved TB detection in chest radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC 2018), Honolulu, Hawaii, 2018. pp. 718-721.
  • 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.
  • Tulpule B, Hernes DL, Srinivasan Y, Mitra S, Sriraja Y, Nutter BS, Phillips B, Long RL, Ferris DG. A Probabilistic Approach to Segmentation and Classification of Neoplasia in Uterine Cervix Images Using Color and Geometric Features SPIE Medical Imaging, February 2005; San Diego, CA; vol. 5748:995-1003
  • Deardorff A, Masterton K, Roberts K, Kilicoglu H, Demner-Fushman D. A protocol-driven approach to automatically finding authoritative answers to consumer health questions in online resources. JASIST, 68(7): 1724-1736. doi: 10.1002/asi.23806.
  • Long LR, Antani SK, Thoma GR. A Prototype Content-Based Image Retrieval System for Spine X-Rays Proc. 16th IEEE Symposium on Computer-Based Medical Systems. 2003 June;: 156-62.
  • 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.
  • Ben Abacha A, Demner-Fushman D. A Question-Entailment Approach to Question Answering. arXiv:1901.08079.
  • Stanley RJ, Long LR. A Radius of Curvature Approach to Cervical Spine Vertebra Image Analysis Proc. 38th Annual Rocky Mountain Bioengineering Symposium, 37. 2001 Apr;: 385-90.
  • 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.
  • You D, Simpson M, Antani SK, Demner-Fushman D, Thoma GR. A robust pointer segmentation in biomedical images toward building a visual ontology for biomedical article retrieval. Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580Q (February 4, 2013); doi:10.1117/12.2005934.
  • 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.
  • Xu X, Lee DJ, Antani S, Long LR. A Spine X-ray Image Retrieval System using Partial Shape Matching IEEE Trans Inf Technol Biomed. 2008 Jan;12(1):100-8.
  • Antani S, Kasturi R, Jain R. A Survey on the Use of Pattern Recognition Methods for Abstraction Indexing and Retrieval of Images and Video Pattern Recognition Journal. 2002;35(4): 945-965.
  • Xue Z, Jaeger S, Karargyris A, Candemir S, Antani SK, Long LR, Thoma GR, McDonald CJ. A System for Automated Screening for Tuberculosis using Digital Chest X-rays for Resources-Constrained Regions [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • Jeronimo J, Schiffman M, Long LR, Neve L, Antani S. A Tool for Collection of Region Based Data from Uterine Cervix Images for Correlation of Visual and Clinical Variables Related to Cervical Neoplasia Proc. 17th IEEE Symposium on Computer-Based Medical Systems: IEEE Computer Society. 2004 June.;:558-62.
  • Xue Z, Long LR, Antani SK, Neve L, Zhu Y, Thoma GR. A unified set of analysis tools for uterine cervix image segmentation. Comput Med Imaging Graph. 2010 Dec;34(8):593-604. doi: 10.1016/j.compmedimag.2010.04.002. Epub 2010 May 26.
  • 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.
  • Xue Z, Long R, Antani SK, Thoma GR. A Web-accessible Content-based Cervicographic Image Retrieval System Proc SPIE Medical Imaging 2008. April 2008;6919:691907-1-9
  • Castle PE, Jeronimo J, Schiffman M, Herroro R, Rodriguez AC, Bratti MC, Hildesheim A, Wacholder S, Long LR, Neve L, Pfeiffer R, Burk RD. Age-related changes of the cervix influence human papillomavirus type distribution Cancer Res. 2006 Jan 15;66(2):1218-24.
  • 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).
  • Mrabet Y, Vougiouklis P, Kilicoglu H, Gardent C, Demner-Fushman D, Hare J, Simperl E. Aligning Texts and Knowledge Bases with Semantic Sentence Simplification. WebNLG 2016.
  • Kilicoglu H, Fiszman M, Roberts K, Demner-Fushman D. An Ensemble Method for Spelling Correction in Consumer Health Questions. AMIA Annu Symp Proc. 2015 Nov 5;2015:727-36. eCollection 2015.
  • Pearson G, Gill MJ. An Evaluation of Motion JPEG 2000 for Video Archiving. Proc. Archiving 2005. Washington, D.C. April 2005:237-43.
  • Stanley RJ, De S, Demner-Fushman D, Antani SK, Thoma GR. An image feature-based approach to automatically find images for application to clinical decision support. Comput Med Imaging Graph. 2011 Jul;35(5):365-72. doi: 10.1016/j.compmedimag.2010.11.008. Epub 2010 Dec 8.
  • Jaeger S. An information-theoretic neural model based on concepts in Chinese medicine. 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).
  • 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, 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.
  • 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
  • Xue Z, Antani SK, Long LR, Thoma GR. An online segmentation tool for cervicographic image analysis. ACM International Health Informatics Symposium, IHI 2010, Arlington, VA, USA, November 11 - 12, 2010, Proceedings; 01/2010.
  • Van Der Volgen J, Harris BR, Demner-Fushman D. Analysis of Consumer Health Questions for Development of Question-Answering Technology [Poster]. Proceedings of One HEALTH: Information in an Interdependent World, the 2013 Annual Meeting and Exhibition of the Medical Library Association (MLA), 2013.
  • Zamora G, Sari-Sarraf H, Mitra S, Long R. Analysis of the Feasibility of Using Active Shape Models for Segmentation of Gray Scale Images Proc. of SPIE Medical Imaging: Image Processing. 2002 Feb;4684:1370-81.
  • You D, Simpson M, Antani SK, Demner-Fushman D, Thoma GR. Annotating image ROIs with text descriptions for multimodal biomedical document retrieval. Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580Q (February 4, 2013); doi:10.1117/12.2005934; http://dx.doi.org/10.1117/12.2005934.
  • Kilicoglu H, Ben Abacha A, Mrabet Y, Roberts K, Rodriguez L, Shooshan SE, Demner-Fushman D. Annotating named entities in consumer health questions. LREC,23-28 May 2016, Portorož.
  • Roberts K, Masterton K, Kilicoglu H, Fiszman M, Demner-Fushman D. Annotating Question Decomposition on Complex Medical Questions. LREC 2014.
  • Roberts K, Masterton K, Fiszman M, Kilicoglu H, Demner-Fushman D. Annotating Question Types for Consumer Health Questions. LREC 2014, BioTxtM workshop.
  • Demner-Fushman D, Simpson M, Antani S, Thoma GR. Annotation and retrieval of clinically relevant images. Int J Med Inform. 2009 Dec;78(12):e59-67. doi: 10.1016/j.ijmedinf.2009.05.003. Epub 2009 Jul 9.
  • Demner-Fushman D, Shooshan SE, Rodriguez L, Antani SK, Thoma GR. Annotation of Chest Radiology Reports for Indexing and Retrieval. Multimodal Retrieval in the Medical Domain 2015 (MRMD 2015), Vienna, Austria, March 29, 2015
  • Cherukuri M, Stanley RJ, Long R, Antani S, Thoma G. Anterior Osteophyte Discrimination in Lumbar Vertebrae Using Size-Invariant Features Comput Med Imaging Graph. 2004 Jan-Mar;28(1-2):99-108.
  • Gandhi T, Kasturi R, Antani S. Application of Planar Motion Segmentation for Scene Text Extraction Proc. of the 15th IEEE International Conference of Pattern Recognition. 2000 Sept.;1:1831-4.
  • Guan Y, Li M, Jaeger S, Lure F, Raptopoulos V, Lu P, Folio LR, Candemir S, Antani SK, Siegelman J, Li J, Wu T, Thoma GR, Qu S. Applying Artificial Intelligence and Radiomics for Computer Aided Diagnosis and Risk Assessment in Chest Radiographs. 2nd Conference on Machine Intelligence in Medical Imaging (CMIMI) of the Society for Imaging Informatics in Medicine (SIIM), Poster, 2017.
  • Cheng P, Lu P, Wang P, Zhou W, Yu W, Jaeger S, Li J, Wu T, Ke X, Zheng B, Antani SK, Candemir S, Quan S, Lure F, Li H, Guo L. Applying Deep Learning and Radiomics to Determine Biological Lung and Heart Age from Chest Radiographs. Chinese Congress of Radiology.
  • 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.
  • Antani SK, Long RL, Thoma GR. Applying Vertebral Boundary Semantics to CBIR of Digitized Spine X-Ray Images Proc SPIE Electronic Imaging Science and Technology, Conference on Storage and Retrieval Methods and Applications for Multimedia. 2005;5682:98-107.
  • KC S, Naved A, Roy PP, Wendling L, Antani SK, Thoma GR. Arrowhead detection in biomedical images. Proceedings IS&T Electronic Imaging, Document Recognition and Retrieval XXIII, 2016, pp. 1-7.
  • Demner-Fushman D, Elhadad N. Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing. IMIA Yearbook of Medical Informatics 2016.
  • Rajaraman S, Sornapudi S, Kohli M, Antani SK. Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 23 – 27 July 2019. pp. 3689 – 3692.
  • Ganesan P, Rajaraman S, Long LR, Ghoraani B, Antani SK. Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 23 – 27 July 2019. pp. 841 – 844.
  • Candemir S, Jaeger S, Antani S, Bagci U, Folio LR, Xu Z, Thoma G. Atlas-based rib-bone detection in chest X-rays. Comput Med Imaging Graph. 2016 Jul;51:32-9. doi: 10.1016/j.compmedimag.2016.04.002. Epub 2016 Apr 13.
  • Le DX, Thoma GR. Automated Article Links Identification for Web-Based Online Medical Journals Proc. 8th World Multiconference on Systemics, Cybernetics and Informatics. 2004 Jul.;5:462-6.
  • 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.
  • 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.
  • 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.
  • Yang F, Poostchi M, Silamut K, Maude RJ, Jaeger S, Thoma G. Automated Parasite Classification of Malaria on Thick Blood Smears. ASTMH 67th Annual Meeting, New Orleans, LA, Oct. 28 – Nov. 1, 2018.
  • 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]
  • Yu H, Yang F, Silamut R, Maude S, Jaeger S, Antani SK. Automatic Blood Smear Analysis with Artificial Intelligence and Smartphones. ASTMH 68th Annual Meeting, Washington DC, Nov. 20-24, 2019.
  • 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)
  • You D, Antani SK, Demner-Fushman D, Rahman MM, Govindaraju V, Thoma GR. Automatic identification of ROI in figure images toward improving hybrid (text and image) biomedical document retrieval. Proceedings of SPIE Electronic Imaging Science and Technology, Document Retrieval and Recognition XVIII. San Francisco, CA. January 2011;7874:78740K.
  • 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.
  • Cheng B, Antani SK, Stanley J, Demner-Fushman D, Thoma GR. Automatic segmentation of subfigure image panels for multimodal biomedical document retrieval. Proceeding of: Document Recognition and Retrieval XVIII - DRR 2011, 18th Document Recognition and Retrieval Conference, part of the IS&T-SPIE Electronic Imaging Symposium, San Jose, CA, USA, January 24-29, 2011, Proceedings.
  • 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
  • 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.
  • 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.
  • You D, Antani S, Demner-Fushman D, Rahman MM, Govindarju V, Thoma GR. Biomedical Article Retrieval Using Multimodal Features and Image Annotations In Region-based CBIR. Document Recognition and Retrieval XVII. Edited by Likforman-Sulem, Laurence; Agam, Gady. Proceedings of the SPIE. San Jose, CA. January 2010;7534:75340V-75340V-12.
  • 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, 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.
  • 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
  • Ben Abacha A, Mrabet Y, Sharp M, Goodwin T, Shooshan S, Demner-Fushman D. Bridging the Gap Between Consumers' Medication Questions and Trusted Answers. Studies in health technology and informatics, 264, pp.25-29, 2019.
  • Ben Abacha A, Mrabet Y, Sharp M, Goodwin T, Shooshan S, Demner-Fushman D. Bridging the Gap Between Consumers’ Medication Questions and Trusted Answers. Stud Health Technol Inform. 2019 Aug 21;264:25-29. doi: 10.3233/SHTI190176.
  • 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.
  • Yang F, Quizon N, Silamut K, Maude RJ, Jaeger S, Antani SK. Cascading YOLO: Automated Malaria Parasite Detection for Plasmodium Vivax in Thin Blood Smears. To be presented at SPIE Medical Imaging, Feb.18-20, 2020, Houston, USA.
  • 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.
  • Lee DJ, Antani S, Chang Y, Long LR, Christensen P, Jeronimo J. CBIR of Spine X-ray Images On Inter-vertebral Disc Space and Shape Profiles Using Feature Ranking and Voting Consensus. Data & Knowledge Engineering, Special Issue on Knowledge Discovery in Medicine. 2009.
  • 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
  • Candemir 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.
  • Xue Z, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Classification of CT Figures in Biomedical Articles Based on Body Segments. 2013 IEEE International Conference on Healthcare Informatics (ICHI), pp.264,268, 9-11 Sept. 2013. doi: 10.1109/ICHI.2013.17.
  • Xue Z, You D, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Classification of Visual Signs in Abdominal CT Image Figures in Biomedical Literature. Proc. SPIE. 9039. Medical Imaging 2014: PACS and Imaging Informatics: Next Generation and Innovations. 90390T.
  • Lu C, Payne A, Demner-Fushman D. Classification Types: A New Feature in the SPECIALIST Lexicon. AMIA Fall Symposium, 2019.
  • 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.
  • 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.
  • Guo P, Stanley RJ, Cole JG, Hagerty JR, Stoecker WV. Color Feature-based Pillbox Image Color Recognition. Published 2017 in VISIGRAPP DOI:10.5220/0006136001880194.
  • 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.
  • Long LR, Antani SK, Thoma GR, Deserno TM. Content-based Image Retrieval For Advancing Medical Diagnostics, Treatment, and Education New Technologies for Advancing Healthcare and Clinical Practices. June 2011:1-17.
  • Antani S, Long R, Thoma GR. Content-Based Image Retrieval for Large Biomedical Image Archives Medinfo. 2004 Sept.;2004: 829-833.
  • Deserno TM, Antani S, Long LR. Content-based image retrieval for scientific literature access. Methods Inf Med. 2009;48(4):371-80. doi: 10.3414/ME0561. Epub 2009 Jul 20.
  • 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.
  • Kilicoglu H, Demner-Fushman D. Coreference Resolution for Structured Drug Product Labels Proceedings of BioNLP 2014. pp. 44-53.
  • Guo P, Xue Z, Long LR, Antani SK. Cross-Dataset Evaluation of Deep Learning Networks for Uterine Cervix Segmentation. Diagnostics (Basel). 2020 Jan 14;10(1). pii: E44. doi: 10.3390/diagnostics10010044.
  • 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
  • Demner-Fushman D, Kilicoglu H. Dataset: CHQA Named Entity Dataset
  • Demner-Fushman D, Roberts K. Dataset: Question Decomposition Data
  • Demner-Fushman D, Roberts K. Dataset: Question Type Data
  • Roberts K, Kilicoglu H, Fiszman M, Demner-Fushman D. Decomposing consumer health questions. BioNLP 2014.
  • Guo P, Singh S, Xue Z, Long LR, Antani SK. Deep Learning for Assessing Image Focus for Automated Cervical Cancer Screening. 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) DOI: 10.1109/BHI.2019.8834495.
  • 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.
  • Yang F, Poostchi M, Yu H, Zhou Z, Silamut K, Yu J, Maude RJ, Jaeger S, Antani SK. Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears. IEEE J Biomed Health Inform. 2019 Sep 23. doi: 10.1109/JBHI.2019.2939121.
  • 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.
  • Demner-Fushman D, Antani SK, Simpson M, Thoma GR. Design and Development of a Multimodal Biomedical Information Retrieval System JCSE. June 2012;6(2):168-177.
  • Lee D, Antani SK, Xu X, Long LR. Design and Evaluation of a Curve Matching-based Spine X-ray Image Retrieval System SPIE Medical Imaging, February 2005; San Diego, CA; vol. 5748:365-373
  • Moallem G, Sari-Sarraf H, Poostchi M, Maude RJ, Silamut K, Hossain MA, Antani SK, Jaeger S, Thoma G. Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears. Proc. SPIE 10581, Medical Imaging 2018:Digital Pathology, 105811F (6 March 2018); doi: 10.1117/12.2293762.
  • 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
  • Jaeger S, Juarez-Espinosa O, Candemir S, Poostchi Mohammadabadi M, Yang F, Kim L, Ding M, Folio L, Antani SK, Gabrielian A, Hurt D, Rosenthal A, Thoma GR. Detecting drug-resistant tuberculosis in chest radiographs International Journal of Computer Assisted Radiology and Surgery https://doi.org/10.1007/s11548-018-1857-9
  • 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.
  • You D, Antani SK, Demner-Fushman D, Govindaraju V, Thoma GR. Detecting Figure-Panel Labels In Medical Journal Articles Using MRF. Proceedings of 11th International Conference on Document Analysis and Recognition (ICDAR 2011). Beijing, China. September 2011:967-971.
  • Jaeger S, Karargyris A, Antani SK, Thoma GR. Detecting tuberculosis in radiographs using combined lung masks. 34th Int. Conf. of the IEEE Engineering in Medicine & Biology Society (EMBC). San Diego, CA. August 2012:4978-4981. doi: 10.1109/EMBC.2012.6347110.
  • Rajaraman S, Kim I, Antani SK. Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles. PeerJ 8:e8693 https://doi.org/10.7717/peerj.8693
  • Antani SK, Natarajan M, Long JL, Long RL, Thoma GR. Developing a Comprehensive System for Content-based Image Retrieval of Image and Text from a National Survey SPIE Medical Imaging, February 2005; San Diego, CA; vol. 5748:152-161.
  • 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.
  • He L, Long LR, Antani S, Thoma GR. Distribution Fitting-based Pixel Labeling For Histology Image Segmentation Proceedings of SPIE Medical Imaging 2011. February 2011
  • You D, Antani SK, Demner-Fushman D, Thoma GR. Does Figure-Text Improve Biomedical Article Retrieval? A Pilot Study. CBMS 2014. May 2014.
  • You D, Antani SK, Demner-Fushman D, Thoma GR. Does figure-text improve biomedical image retrieval [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
  • 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.
  • 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.
  • Guo P, Almubarak H, Banerjee K, Stanley RJ, Long LR, Antani SK, Thoma GR, Zuna R, Frazier S, Moss R, Stoecker W. Enhancements in localized classification for uterine cervical cancer digital histology image assessment. J Pathol Inform. 2016 Dec 30;7:51. doi: 10.4103/2153-3539.197193. eCollection 2016.
  • Zamora G, Sari-Sarraf H, Mitra S, Long LR. Estimation of Orientation and Position of Cervical Vertebrae for Segmentation with Active Shape Models Proc. SPIE Medical Imaging: Image Processing. 2001 Feb;4322:378-87.
  • Shou J, Antani S, Long LR, Thoma GR. Evaluating Partial Shape Queries for Pathology-Based Retrieval of Verterbra Proc. 8th World Multiconference on Systemics, Cybernetics and Informatics. 2004 Jul.;12:155-60.
  • Simpson M, Demner-Fushman D, Thoma GR. Evaluating the Importance of Image-related Text for Ad-hoc and Case-based Biomedical Article Retrieval. AMIA Annu Symp Proc. 2010 Nov 13;2010:752-6.
  • 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.
  • Jeronimo J, Wentzensen N, Long R, Schiffman M, Dunst ST, Allen RA, Walker JL, Gold MA, Zuna RE, Sherman ME, Wacholder S, Wang SS. Evaluation of Linear Array Human Papillomavirus Genotyping Using Automatic Optical Imaging Software J Clin Microbiol. 2008 Aug;46(8):2759-65. Epub 2008 Jun 11
  • Antani S, Long LR, Lee DJ, Thoma GR. Evaluation of Shape Indexing Methods for Content-Based Retrieval of X-Ray Images Proceedings of IS&T/SPIE Electronic Imaging Science and Technology, Storage and Retrieval for Media Databases. 2003 Jan; 5021: 405-16.
  • Gordon S, Lotenberg S, Long LR, Antani SK, Jeronimo J, Greenspan H. Evaluation of uterine cervix segmentations using ground truth from multiple experts. Comput Med Imaging Graph. 2009 Apr;33(3):205-16. doi: 10.1016/j.compmedimag.2008.12.002. Epub 2009 Feb 13.
  • Deserno TM, Antani SK, Long LR. Exploring Access to Scientific Literature Using Content-Based Image Retrieval Proc SPIE Medical Imaging 2007. Vol. 6516: 65160L-1-8.
  • Antani SK, Demner-Fushman D, Li J, Srinivasan BV, Thoma GR. Exploring Use of Images in Clinical Articles for Decision Support in Evidence-Based Medicine Proc. SPIE-IS/T Electronic Imaging. San Jose, CA. January 2008;6815:68150Q(1-10)
  • Chachra S, Xue Z, Antani SK, Demner-Fushman D, Thoma GR. Extraction and Labeling High-resolution Images from PDF Documents. Proc. SPIE 9021, Document Recognition and Retrieval XXI, 90210Q (December 27, 2013). doi:10.1117/12.2042336.
  • Xue Z, Long LR, Jaeger S, Folio L, Thoma GR. Extraction of Aortic Knuckle Contour in Chest Radiographs Using Deep Learning. EMBC 2018.
  • Xue Z, You D, Chachra S, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Extraction of endoscopic images for biomedical figure classification. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180P. (March 17, 2015) doi: 10.1117/12.2081033.
  • Crandall D, Antani S, Kasturi R. Extraction of Special Effects Caption Text Events from Digital Video International Journal of Document Analysis and Recognition. 2003;5(2-3):138-57.
  • Borovikov E, Bonifant MC, Lingappa G, Gill MJ, Thoma GR. FaceMatch: a visual search system for family reunification during disasters [Poster]. NIH Research Festival, September 2016
  • Borovikov E, Vajda S. FaceMatch: real-world face image retrieval. In: Santosh K., Hangarge M., Bevilacqua V., Negi A. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2016. Communications in Computer and Information Science, vol 709. Springer, Singapore. 405-419.
  • Bryant B, Sari-Sarraf H, Wachtel M, Long LR, Antani SK. Fast GPU-based segmentation of H&E stained squamous epithelium from multi-gigapixel tiled virtual slides [Poster]. Proc. SPIE 8676, Medical Imaging 2013: Digital Pathology, 86760X (March 29, 2013); doi:10.1117/12.2007800
  • 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.
  • Guo P, Stanley RJ, De S, Long LR, Antani SK, Thoma GR, Demner-Fushman D, Sornapudia S. Features Advances to Automatically Find Images for Application to Clinical Decision Support. Medical Research Archives. 4(7) 2016. DOI: 10.18103/mra.v4i7.761
  • You D, Apostolova E, Antani SK, Demner-Fushman D, Thoma GR. Figure content analysis for improved biomedical article retrieval. Proceedings of IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States, Document Recognition and Retrieval XVI; 72470V (2009), 1-10; doi: 10.1117/12.805976
  • Xue Z, Candemir S, Antani SK, Long LR, Jaeger S, Demner-Fushman D, Thoma GR. Foreign Object Detection in Chest X-rays. Proc IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2015, International Workshop on Biomedical and Health Informatics, Bethesda, Maryland, Nov. 9-12, 2015, pp: 56-61.
  • Deserno TM, Antani SK, Long LR. Gaps in Content-Based Image Retrieval Proc SPIE Medical Imaging 2007. Vol. 6516: 65160J-1-11
  • Xue Z, Rajaraman S, Long LR, Antani SK, Thoma GR. Gender Detection from Spine X-ray Images Using Deep Learning. Proc. IEEE International Symposium on Computer-Based Medical Systems (CBMS), Karlstad, Sweden, 2018. pp. 54-58, DOI:10.1109/CBMS.2018.00017.
  • Villegas M, Müller R, De Herrera A, Schaer R, Bromuri S, Gilbert A, Piras L, Wang J, Yan F, Ramisa A, Dellandrea E, Gaizauskas R, Mikolajczyk K, Puigcerver J, Toselli A, Sánchez J, Vidal E. General Overview of ImageCLEF at the CLEF 2016 Labs. CLEF Proceedings, Springer, 2016
  • Antani SK, Deserno TM, Long LR, Thoma GR. Geographically Distributed Complementary Content-Based Image Retrieval Systems for Biomedical Image Informatics Stud Health Technol Inform. 2007;129(Pt 1):493-7
  • Candemir S, Jaeger S, Palaniappan K, Antani SK, Thoma GR. Graph Cut Based Automatic Lung Boundary Detection in Chest Radiographs. 1st Annual IEEE Healthcare Innovation Conference of the IEEE EMBS Houston, Texas USA, 7 - 9 November, 2012.
  • de Herrera G, Long LR, Antani SK. Graph Representation for Content–based fMRI Activation Map Retrieval. Proceedings of 1st Life Sciences Conference, Sydney, Australia, December 2017 pp. 129-32 DOI: https://doi.org/10.1109/LSC.2017.8268160.
  • Zamora G, Sari-Sarraf H, Long LR. Hierarchical Segmentation of Vertebrae from X-ray Images Proc. of SPIE Medical Imaging: Image Processing. 2003 Feb; 5032.
  • He L, Long LR, Antani SK, Thoma GR. Histology image analysis for carcinoma detection and grading. Comput Methods Programs Biomed. 2012 Sep;107(3):538-56. doi: 10.1016/j.cmpb.2011.12.007. Epub 2012 Mar 20.
  • Long LR, Thoma GR. Identification and Classification of Spine Vertebrae by Automated Methods Proc. SPIE Medical Imaging: Image Processing. 2001 Feb;:1478-89.
  • Srinivasan B, Antani S, Demner-Fushman D, Thoma GR. Identification and Segmentation of Multi-Panel Images in Biomedical Journal Articles [Poster]. Poster at 20th NIH Research Festival (BIOINFO-1), September 2007, National Institutes of Health
  • Long LR, Krainak DM, Thoma GR. Identifying Image Structures for Content-Based Retrieval of Digitized Spine X-Rays Proc. of SPIE Medical Imaging: Image Processing. 2002 Feb; 4684.
  • 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.
  • Chamarthy P, Stanley RJ, Cizek G, Long R, Antani S, Thoma G. Image Analysis Techniques for Characterizing Disc Space Narrowing in Cervical Vertebrae Computerized Medical Imaging and Graphics. 2004; 28: 39-50.
  • Stanley RJ, Seetharaman S, Long LR, Antani S, Thoma GR, Downey E. Image Analysis Techniques for the Automated Evaluation of Subaxial Subluxation in Cervical Spine X-Ray Images Proc. 17th IEEE Symposium on Computer-Based Medical Systems: IEEE Computer Society. 2004 June.;: 204-9.
  • 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
  • Apostolova E, You D, Xue Z, Antani SK, Demner-Fushman D, Thoma GR. Image Retrieval From Scientific Publications: Text and Image Content Processing To Separate Multipanel Figures. JASIST (Journal of the American Society for Information Science and Technology), 64(5):893–908, 2013.
  • Faruque J, Antani SK, Long LR, Kim L, Thoma GR. Image similarity ranking of focal computed tomography liver lesions using a 2AFC technique. Proc. SPIE. 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 97870N. DOI: 10.1117/12.2217364.
  • Xue Z, Long LR, Antani SK, Jeronimo J, Thoma GR. Image-retrieval System Aids Cervical Cancer Studies SPIE Newsroom. April 2009
  • 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.
  • Xue Z, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Improving face image extraction by using deep learning technique. Proc. SPIE 9789, Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and Innovations, 97890J (March 25, 2016); doi:10.1117/12.2216278.
  • Long LR, Thoma GR. Indexing of Image Content in Spine X-Rays Proc. of SPIE Storage and Retrieval for Image and Video Databases VIII. 2000 Jan;3972:55-63.
  • 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.
  • Jeronimo J, Massad S, Castle PE, Schiffman M, NIH/ASCCP Research Group. Inter-observer Agreement in the Evaluation of Digitized Cervical Images Obstet Gynecol. Vol. 197, Issue 1, July 2007
  • 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.
  • Roberts K, Demner-Fushman D. Interactive use of online health resources: a comparison of consumer and professional questions. J Am Med Inform Assoc. 2016 Jul;23(4):802-11. doi: 10.1093/jamia/ocw024. Epub 2016 May 4.
  • Antani SK, Deserno TM, Long LR, Guld MO, Neve L, Thoma GR. Interfacing Global and Local CBIR Systems for Medical Image Retrieval Proc Workshop on Medical Imaging Research (Bildverarbeitung fur die Medizin). March 2007; 166-71.
  • Kilicoglu H, Fiszman M, Demner-Fushman D. Interpreting Consumer Health Questions: The Role of Anaphora and Ellipsis. Proceedings of BioNLP 2013. Pages 54-62.
  • Xue Z, Antani S, Long LR, Jeronimo J, Thoma GR. Investigating CBIR Techniques for Cervicographic Images AMIA Annu Symp Proc. 2007 Oct 11:826-30.
  • Antani S, Xue Z, Long LR, Bennett D, Ward S, Thoma GR. Is there a need for biomedical CBIR systems in clinical practice? Outcomes from a usability study. Proceedings of SPIE Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications. Orlando, FL. February 2011;7967:796708.
  • Simpson M, You D, Rahman MM, Demner-Fushman D, Antani SK, Thoma GR. ITI's participation in the ImageCLEF 2012 medical retrieval and classification tasks. CLEF 2012 Working Notes. Rome, Italy. September 2012.
  • Vajda S. Label the many with a few: Semi-automatic medical image modality discovery in a large image collection. IEEE Symposium Series on Computational Intelligence, Orlando, FL, Dec 9-12, 2014
  • Long LR, Thoma GR. Landmarking and Feature Localization in Spine X-Rays Journal of Electronic Imaging. 2002 Oct; 10(4):939-56.
  • Shin HC, Roberts K, Lu L, Demner-Fushman D. Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  • 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.
  • Seetharaman S, Stanley RJ, De S. Live Wire Segmentation Tool for Osteophyte Detection in Lumbar Spine X-Ray Images Proc IEEE ICETET 2008. Nagpur, India. July 2008:715-20
  • He L, Long LR, Antani SK, Thoma GR. Local and Global Gaussian Mixture Models For Hematoxylin and Eosin Stained Histology Image Segmentation 20th International Conference on Hybrid Intelligence Systems. Atlanta, GA. August 2010:223-8
  • 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
  • Ding M, Antani SK, Jaeger S, Xue Z, Candemir S, Kohli M, Thoma GR. Local-Global Classifier Fusion for Screening Chest Radiographs. Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 101380A (March 13, 2017); doi:10.1117/12.2252459
  • Xu X, Lee DJ, Antani S, Long LR. Localizing Contour Points for Indexing an X-Ray Image Retrieval System Los Alamitos, CA: IEEE Computer Society. 2003 June;: 169-74.
  • 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
  • Xue Z, Jaeger S, Antani SK, Long LR, Karargyris A, Siegelman J, Folio L, Thoma GR. Localizing tuberculosis in chest radiographs with deep learning. Proc SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105790U (6 March 2018) pp. doi: 10.1117/12.2293022
  • Xue Z, Jaeger S, Antani SK, Long LR, Karargyris A, Siegelman J, Folio LR, Thoma GR. Localizing tuberculosis in chest radiographs with deep learning. SPIE Medical Imaging 2018
  • Candemir S, Antani SK, Jaeger SR, Thoma GR. Lung boundary detection in pediatric chest x-rays. Proc. SPIE. 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180Q. (March 17, 2015) doi: 10.1117/12.2081060.
  • Candemir S, Jaeger S, Palaniappan K, Musco J, Singh RK, Xue Z, Karargyris A, Antani SK, Thoma GR, McDonald CJ. Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration. IEEE Trans Med Imaging. 2014 Feb;33(2):577-90. doi: 10.1109/TMI.2013.2290491. Epub 2013 Nov 13.
  • Jaeger S. Malaria Datasets
  • 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.
  • Antani S, Cheng J, Long J, Long LR, Thoma GR. Medical Validation and CBIR of Spine X-ray Images over the Internet Proc IS and T/SPIE Electronic Imaging Science and Technology 2006: Internet Imaging VII. San Jose. CA Jan 15-19, 2006, SPIE Vol. 6061 pp. 60610J (1-9).
  • Guan H, Antani S, Long LR, Thoma GR. Minimizing the Semantic Gap In Biomedical Content-based Image Retrieval Proc SPIE, Medical Imaging: Advanced PACS-based Imaging Informatics, and Therapeutic Applications. March 2010;7628:762807-1 ~ 762807-8
  • Altemus AR. Mobile App: Native Voices: Native Peoples' Concepts of Health and Illness
  • 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
  • Rajaraman S, Antani SK. Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs. IEEE Access, vol. 8, pp. 27318-27326, 2020.
  • Xu T, Zhang H, Xin C, Kim E, Long LR, Xue Z, Antani SK, Huang Z. Multi-feature based Benchmark for Cervical Dysplasia Classification Evaluation. Pattern Recognition. ISSN 0031-3203, DOI: 10.1016/j.patcog.2016.09.027.
  • 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..
  • Xu T, Huang X, Kim E, Long LR, Antani SK. Multi-test cervical cancer diagnosis with missing data estimation. Proc. SPIE. 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94140X. (March 20, 2015) doi: 10.1117/12.2080871.
  • 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
  • Yang S, Guo J, King PS, Sriraja Y, Long LR. Multispectral Digital Cervigram Analyser in the Wavelet Domain for Early Detection of Cervical Cancer Proc. SPIE Medical Imaging. 2004 Feb; 5370.
  • KC S, Xue Z, Antani SK, Thoma GR. NLM at ImageCLEF 2015: Biomedical Multipanel Figure Separation. Editors: Cappellato, L., Ferro, N., Jones, G., and San Juan, E., CLEF 2015 Labs and Workshops, Notebook Papers. CEUR WorkshopProceedings (CEUR-WS.org), ISSN 1613-0073, http://ceur-ws.org/ Vol-1391/.
  • Ben Abacha A, De Herrera A, Gayen S, Demner-Fushman D, Antani SK. NLM at ImageCLEF 2017 Caption Task. International Conference of the Cross-Language Evaluation Forum for European Languages 2017 Sep 11 (pp. 358-360). Springer, Cham.
  • Ben Abacha A, Gayen S, Lau JJ, Rajaraman S, Demner-Fushman D. NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain. CLEF2018 Working Notes. CEUR Workshop Proceedings, Avignon, France, CEUR-WS.org (September 10-14 2018).
  • 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).
  • Candemir S, Antani SK, Xue Z, Thoma GR. Novel Method for Storyboarding Biomedical Videos for Medical Informatics. 30th IEEE International Symposium on Computer-Based Medical Systems
  • Guo P, Banerjee K, Stanley RJ, Long LR, Antani SK, Thoma GR, Frazier SR, Moss RH, Stoecker WV. Nuclei-Based Features for Uterine Cervical Cancer Histology Image Analysis with Fusion-based Classification. DOI 10.1109/JBHI.2015.2483318 IEEE Journal of Biomedical and Health Informatics
  • Gururajan A, Kamalakannan S, Sari-Sharraf H, Shahriar M, Long LR, Antani SK. On the creation of a segmentation library for digitized cervical and lumbar spine radiographs. Comput Med Imaging Graph. 2011 Jun;35(4):251-65. doi: 10.1016/j.compmedimag.2010.11.006. Epub 2011 Mar 5.
  • Ben Abacha A, Demner-Fushman D. On the Role of Question Summarization and Information Source Restriction in Consumer Health Question Answering. AMIA Informatics Summit, March 2019.
  • Ben Abacha A, Demner-Fushman D. On the Role of Question Summarization and Information Source Restriction in Consumer Health Question Answering. Proceedings of the AMIA 2019 Informatics Summit, San Francisco, CA, USA, March 25-28, 2019.
  • Ben Abacha A, Demner-Fushman D. On the Summarization of Consumer Health Questions. ACL 2019, Florence, Italy.
  • Ben Abacha A, Demner-Fushman D. On the Summarization of Consumer Health Questions. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy 2019.
  • Deserno TM, Antani S, Long LR. Ontology of gaps in content-based image retrieval. J Digit Imaging. 2009 Apr;22(2):202-15. doi: 10.1007/s10278-007-9092-x. Epub 2008 Feb 1.
  • Kim J, Tran L, Chew E, Antani SK. Optic Disc and Cup Segmentation for Glaucoma Characterization Using Deep Learning 2019 IEEE 32th International Symposium on Computer-Based Medical Systems (CBMS), pp 489-494, Cordoba, Spain, June 2019.
  • Kim J, Tran L, Chew E, Antani SK, Thoma GR. Optic Disc Segmentation in Fundus Images Using Deep Learning. SPIE Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications, Vol. 10954, San Diego, USA, February 2019.
  • 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.
  • 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.
  • De Herrera A, Schaer R, Bromuri S, Müller H. Overview of the ImageCLEF 2016 Medical Task. CLEF working notes 2016, CEUR, 2016.
  • Ben Abacha A, Agichtein E, Pinter Y, Demner-Fushman D. Overview of the Medical QA Task @ TREC 2017 LiveQA Track. TREC, Gaithersburg, MD, 2017.
  • Ben Abacha A, Shivade C, Demner-Fushman D. Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering. Proceedings of the 18th BioNLP Workshop and Shared Task, Florence, Italy, August 1, 2019.
  • Ben Abacha A, Shivade C, Demner-Fushman D. Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering. Proceedings of the BioNLP 2019 workshop.
  • Borovikov E, Vajda S, Lingappa G, Bonifant MC. Parallel Computing in Face Image Retrieval: Practical Approach to the Real-World Image Search. Multi-Core Computer Vision and Image Processing for Intelligent Applications. IGI Global, 2017. 155-189. Web. 12 Sep. 2016. doi:10.4018/978-1-5225-0889-2.ch006
  • Yang F, Yu H, Silamut K, Maude RJ, Jaeger S, Antani SK. Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN. Proceedings of AIPR2019, Washington DC, USA, Oct 15-17, 2019.
  • Antani S, Xu X, Long R, Thoma G. Partial Shape Matching for CBIR of Spine X-Ray Images Proc. SPIE Electronic Imaging - Storage and Retrieval Methods and Applications for Multimedia. 2004 Jan; 5307: 1-8.
  • Xu X, Lee DJ, Antani S, Long LR. Partial Shape Matching of Spine X-Ray Shapes Using Dynamic Programming Proc. 17th IEEE Symposium on Computer-Based Medical Systems: IEEE Computer Society. 2004 June.;: 97-102.
  • Xue Z, Long LR, Antani SK, Thoma GR. Pathology-based vertebral image retrieval. Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2011, March 30 - April 2, 2011, Chicago, Illinois, USA. pages 1893-1896, IEEE, 2011. doi: 10.1109/ISBI.2011.5872778.
  • 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
  • Walker FL, Gallagher ME, Thoma GR. PDF File Migration to PDF/A: Technical Considerations. Proc IS&T Archiving 2007. Arlington, Virginia, May 2007; 6-11.
  • Ganesan P, Xue Z, Singh S, Long LR, Ghoraani B, Antani SK. Performance Evaluation of a Generative Adversarial Network for Deblurring Mobile-phone Cervical Images. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 23 – 27 July 2019. pp. 4487 – 4490.
  • Rajaraman S, Jaeger S, Antani SK. Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images. PeerJ. doi: 10.7717/peerj.6977.
  • Rajaraman S, Jaeger S, Antani SK. Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images. PeerJ 7:e6977
  • Xu X, Lee DJ, Antani S, Long RL. Pre-Indexing for Fast Partial Shape Matching of Vertebrae Images Proc CBMS 2006, June 2006, Salt Lake City, Utah; 105-10
  • 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.
  • Sutton VR, Hauser SE. Preliminary comparison of the SEER and PubMed search engines for answering clinical questions using PubMed on Tap, a PDA-based program for accessing biomedical literature AMIA Annu Symp Proc. 2005:1128
  • Jeronimo J, Long R, Neve L, Ferris D, Noller K, Spitzer M, Mitra S, Guo J, Nutter B, Castle P, Herrero R, Rodriguez AC, Schiffman M. Preparing Digitized Cervigrams for Colposcopy Research and Education: Determination of Optimal Resolution and Compression Parameters J Low Genit Tract Dis. 2006 Jan;10(1):39-44
  • Thoma GR. Public Access to Anatomic Images Chapter in: Medical Informatics: Knowledge Management and Data Mining in Biomedicine
  • Jaeger S, Silamut K, Yu H, Poostchi Mohammadabadi M, Ersoy I, Powell A, Liang Z, Hossain M, Antani SK, Palaniappan K, Maude R, Thoma GR. Reducing the Diagnostic Burden of Malaria Using Microscopy Image Analysis and Machine Learning in the Field [Poster]. Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH), Atlanta, USA, 2016.
  • Kim J, Candemir S, Chew E, Thoma GR. Region of Interest Detection in Fundus Images Using Deep Learning and Blood Vessel Information. The 31th IEEE International Symposium on Computer-Based Medical Systems. (IEEE CBMS 2018), pp. 357-362, Karlstad, Sweden, June 2018.
  • Xu X, Lee DJ, Antani S, Long LR. Relevance Feedback for Spine X-ray Retrieval CBMS, 2005. Dublin, Ireland; pp. 197-202
  • Gordon, E, Ersoy, I, Jaeger S, Waisberg, M, Pena, M, Thoma GR, Antani SK, Pierce, S, Palaniappan, K. Retinal Microcirculation Dynamics During an Active Malarial Infection [Poster]. Annual Meeting of the American Society of Tropical Medicine and Hygiene (ASTMH), 2014.
  • Antani S, Crandall D, Kasturi R. Robust Extraction of Text in Video International Conference of Pattern Recognition. 2000 Sept.;1:1445-9.
  • KC S, Candemir S, Jaeger S, Folio L, Karargyris A, Antani SK, Thoma GR. Rotation detection in chest radiographs based on generalized line histogram of rib-orientations. IEEE 27th International Symposium on Computer-Based Medical Systems, New York, NY, USA, May 27-29, 2014: page 138-142.
  • Candemir S, Borovikov E, KC S, Antani SK, Thoma GR. RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor. Image and Vision Computing, Volume 42, October 2015, Pages 1-12, ISSN 0262-8856. doi:10.1016/j.imavis.2015.06.010.
  • KC S, Wendling L, Antani SK, Thoma GR. Scalable arrow detection in biomedical images. Pattern Recognition (ICPR), 2014 22nd International Conference; pp 3257-62. DOI: 10.1109/ICPR.2014.561
  • Wang X, Guan Y, Lu P, Cheng G, Zhou W, Jaeger S, Zhen B, Antani SK, Yin X, Yu W, Guo L, Quan S, Lure F, Hurt D, Gabrielian A, Li H, Ke X. Screening of Tuberculosis in a TB High-burden Large Rural Region in China with Deep Learning Multi-modality Artificial Intelligence. Chinese Congress of Radiology.
  • Long RL, Thoma GR. Segmentation and Image Navigation in Digitized Spine X-Rays Proc. SPIE Medical Imaging: Image Processing. 2000 Feb; 3979: 168-79.
  • Xue Z, Long LR, Antani SK, Jeronimo J, Thoma GR. Segmentation of Mosaicism in Cervicographic Images Using Support Vector Machines Proc. SPIE 7259, Medical Imaging 2009, Lake Buena Vista, Florida, United States: Image Processing, 72594X (27 March 2009); doi: 10.1117/12.812318; http://dx.doi.org/10.1117/12.812318.
  • Karargyris A, Antani SK, Thoma GR. Segmenting anatomy in chest x-rays for tuberculosis screening. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:7779-82. doi: 10.1109/IEMBS.2011.6091917.
  • 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.
  • Vajda S, Rangoni Y, Cecotti H. Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition. Pattern Recognit Lett. 2015 Jun 1;58:23-28.
  • Demner-Fushman D, Cohen KB, Ananiadou S, Tsujii J. Sesame Street at BioNLP 2019. Proceedings of the BioNLP 2019 workshop.
  • Tagare HD, Qian X, Fulbright RK, Long RL, Antani SK. Shape Based Retrieval in NHANES II Proceedings of the 12th Annual ACM International Conference on Multimedia. 2004. 776-779.
  • 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.
  • Lee DJ, Antani S, Long LR. Similarity Measurement Using Polygon Curve Representation and Fourier Descriptors for Shape-Based Vertebral Image Retrieval Proc. of SPIE Medical Imaging: Image Processing. 2003;5032(3): 1283-91.
  • Stanley RJ, Antani S, Long LR, Thoma GR, Gupta K, Das M. Size-invariant Descriptors for Detecting Regions of Abnormal Growth in Cervical Vertebrae Comput Med Imaging Graph. 2008 Jan;32(1):44-52. Epub 2007 Oct 22
  • Yang F, Yu H, Poostchi M, Silamut K, Maude RJ, Jaeger S. Smartphone-Supported Automated Malaria Parasite Detection. SIIM conference on Machine Intelligence in Medical Imaging, 2018.
  • Yang F, Yu H, Silamut K, Maude R, Jaeger S, Antani SK. Smartphone-Supported Malaria Diagnosis Based on Deep Learning. Proceedings of 10th Workshop on Machine Learning in Medical Imaging (MLMI 2019) in conjunction with MICCAI, Shenzhen, China, Oct 13-17, 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.
  • Neve L, Long LR, Antani SK. Software: Boundary Marking Tool 2 (BMT2)
  • 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]
  • Xue Z, Long LR, Antani SK, Thoma GR. Spine x-ray image retrieval using partial vertebral boundaries. 24th International Symposium on Computer-Based Medical Systems. Bristol, UK. June 2011.
  • Hsu W, Antani SK, Long LR, Neve L, Thoma GR. SPIRS: a Web-based image retrieval system for large biomedical databases. Int J Med Inform. 2009 Apr;78 Suppl 1:S13-24. doi: 10.1016/j.ijmedinf.2008.09.006. Epub 2008 Nov 8.
  • Roberts K, Simpson M, Demner-Fushman D, Voorhees E, Hersh W. State-of-the-art in biomedical literature retrieval for clinical cases: A survey of the TREC 2014 CDS Track. Inf Retrieval J. 2015.
  • KC S, Antani SK, Thoma GR. Stitched Multipanel Biomedical Figure Separation. IEEE, 28th International Symposium on Computer-Based Medical Systems (CBMS), pp. 54-59, 2015.
  • Xue Y, Zhou Q, Ye J, Long LR, Antani SK, Cornwell C, Xue Z, Huang X. Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification. ArXiv, abs/1907.10655.
  • Long RL, Antani S, Jeronimo J, Schiffman M, Bopf M, Neve L, Cornwall C, Budihas SC, Thoma GR. Technology for Medical Education, Research, and Disease Screening by Exploitation of Biomarkers in a Large Collection of Uterine Cervix Images Proc CBMS 2006, June 2006, Salt Lake City, Utah; 826-31
  • You D, Rahman MM, Antani SK, Demner-Fushman D, Thoma GR. Text- and content-based biomedical image modality classification. Proc. SPIE Medical Imaging. Orlando, FL. February 2013;8674-21.
  • Gordon E, Waisberg M, Ersoy I, Pena M, Jaeger S, Pierce S. The eye as a window to investigate the CNS microvasculature during a dynamic malaria infection (Abstract). Third Annual Seminar on Molecular Imaging of Infectious Diseases, September 23, 2013.
  • Antani SK, You D, Simpson M, Rahman M, Demner-Fushman D, Thoma GR. The role of image modality and visual characteristics in archiving biomedical images. Proc of IS&T Archiving Conference. Volume 2013, Number 1, 2013, pp. 31-35.
  • Huang X, Wang W, Xue Z, Antani SK, Long LR, Jeronimo J. Tissue Classification using Cluster Features for Lesion Detection in Digital Cervigrams Proc. SPIE Medical Imaging 2008. April 2008;6914:69141Z-1-8
  • Simpson MS, You D, Rahman MM, Antani SK, Thoma GR, Demner-Fushman D. Towards the creation of a visual ontology of biomedical imaging entities. AMIA Annu Symp Proc. 2012;2012:866-75. Epub 2012 Nov 3.
  • Nishinaga N, Tatsumi H, Gill M, Akashib A, Nogawa H, Reategui I. Trans-Pacific Demonstration of Visible Human Space Communications. 2002 March; 17(4):303-311.
  • Goedert JJ, Scoppio BM, Pfeiffer R, Neve L, Federici AB, Long LR, Dolan BM, Brambati M, Bellinvia M, Lauria C, Preiss L, Boneschi V, Whitby D, Brambilla L. Treatment of classic Kaposi sarcoma with a nicotine dermal patch: a phase II clinical trial. phase II clinical trial. J Eur Acad Dermatol Venereol. 2008 Sep;22(9):1101-9. doi: 10.1111/j.1468-3083.2008.02720.x. Epub 2008 Apr 1.r 1.
  • Antani SK. Tuberculosis Chest X-ray Image Data Sets
  • Jaeger S, Antani S, Thoma GR. Tuberculosis Screening of Chest Radiographs. 2 June 2011, SPIE Newsroom. DOI: 10.1117/2.1201105.003732i.
  • Jaeger S, Candemir S, Antani SK, Wang Y, Lu P, Thoma GR. Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. Quant Imaging Med Surg. 2014 Dec;4(6):475-7. doi: 10.3978/j.issn.2223-4292.2014.11.20.
  • Datta S, Si Y, Rodriguez L, Shooshan S, Demner-Fushman D, roberts K. Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning. arXiv preprint arXiv:1908.04485, 2019.
  • 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.
  • 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
  • Mrabet Y, Kilicoglu H, Demner-Fushman D. Unsupervised Ranking of Knowledge Bases for Named Entity Recognition. ECAI 2016, The Hague, The Netherlands, 1248-1255.
  • Long LR, Thoma GR. Use of Shape Models to Search Digitized Spine X-Rays IEEE Computer-Based Medical Systems. 2000 June;: 255-60.
  • Xue Z, Antani SK, Long LR, Thoma GR. Using deep learning for detecting gender in adult chest radiographs. Proc SPIE 10579, Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications, 105790D (6 March 2018) pp. doi: 10.1117/12.2293027.
  • Xue Z, Antani SK, Long LR, Thoma GR. Using deep learning for detecting gender in adult chest radiographs. SPIE Medical Imaging 2018
  • Xu X, Lee DJ, Antani SK, Long LR, Archiband JK. Using Relevance Feedback with Short-term Memory for Content-based Spine X-ray Image Retrieval. J Neurocomputing. June 2009;72(10-12):2259-69.
  • 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.
  • 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.
  • 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.
  • 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.
  • Demner-Fushman D, Antani SK, Simpson M. Web Interface: Open-I
  • Xue Z, Antani S, Long LR, Thoma GR. Web-accessible Cervigram Automatic Segmentation Tool SPIE Medical Imaging Conference. March 2010;7628
  • Zhu Y, Huang X, Lopresti D, Long R et al. Web-based Multi-observer Segmentation Evaluation Tool Proc. 21st IEEE CBMS. Jyvaskyla, Finland. June 2008:167-9
  • Zhu Y, Long LR, Antani S, Xue Z, Thoma GR. Web-based STAPLE for Quality Estimation of Multiple Image Segmentations Poster at 20th NIH Research Festival (IMAG-12), September 2007, National Institutes of Health
  • 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
  • Xue Z, Antani SK, Long LR, Demner-Fushman D, Thoma GR. Window classification of brain CT images in biomedical articles. AMIA Annu Symp Proc. 2012;2012:1023-9. Epub 2012 Nov 3.