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  • 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).
  • 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.
  • 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.
  • Antani S, Long LR, Thoma GR. Bridging the Gap: Enabling CBIR in Medical Applications Proc IEEE CBMS. Jyvaskyla, Finland. June 2008:4-6
  • 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).
  • Antani S, Crandall D, Kasturi R. Robust Extraction of Text in Video International Conference of Pattern Recognition. 2000 Sept.;1:1445-9.
  • Antani SK. Automated Detection of Lung Diseases in Chest X-Rays April 2015 Technical Report to the LHNCBC Board of Scientific Counselors
  • Antani SK. Tuberculosis Chest X-ray Image Data Sets
  • 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)
  • 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.
  • 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.
  • 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).
  • 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.
  • 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
  • Borovikov E, Vajda S, Lingappa G, Antani SK, Thoma GR. Face matching for post-disaster family reunification. IEEE International Conference on Healthcare Informatics. Philadelphia, PA, USA. September 2013.
  • Borovikov E, Lingappa G. Face matching in Lost Person Finder Project. CEB Technical Report. January 2012.
  • 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
  • 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.
  • 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
  • Candemir S. Chest X-ray Screening System: Segmentation Module – v3
  • 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.
  • 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, 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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
  • 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
  • Demner-Fushman D, Hauser SE, Humphrey SM, Ford GM, Jacobs JL, Thoma GR. MEDLINE as a Source of Just-in-Time Answers to Clinical Questions. AMIA Annu Symp Proc. 2006:190-4.
  • 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.
  • Deserno TM, Antani SK, Long LR. Gaps in Content-Based Image Retrieval Proc SPIE Medical Imaging 2007. Vol. 6516: 65160J-1-11
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • Gill MJ, Pearson G, Neve L, Miernicki G, Antani SK, Thoma GR. Mobile App: ReUnite iOS app
  • 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.
  • 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
  • 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
  • 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.
  • 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.
  • Hauser SE, Demner-Fushman D, Ford GM, Jacobs JL, Thoma GR. Preliminary Comparison of Three Search Engines for Point of Care Access to MEDLINE Citations AMIA Annu Symp Proc. 2006:945
  • Hauser SE, Demner-Fushman D, Ford GL, Nguyen TQ, Thoma GR. MD on Tap: Point of Care Information Delivery; A Report to the Board of Scientific Counselors September 2005 Technical Report to the LHNCBC Board of Scientific Counselors.
  • 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
  • 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
  • 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
  • Ionescu B, Müller H, Péteri R, Dang-Nguyen DT, Zhou L, Piras L, Riegler M, Halvorsen P, Tran MT, Lux M, Gurrin C, Chamberlain J, Clark A, Campello A, de Herrera AGS, Ben Abacha A, Datla VV, Hasan SA, Liu J, Demner-Fushman D, Pelka O, Friedrich CM, Cid YD, Kozlovski S, Liauchuk V, Kovalev V, Berari P, Brie P, Fichou D, Dogariu M, Stefan L, Constantin M. ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications. ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications. ECIR (2) 2020: 533-541.
  • 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

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