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  • 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.
  • 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.
  • 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 Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents Proc IEEE CVPR, Minneapolis, Minnesota, June 2007, pp. 1-8.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
  • Sornapudi S, Brown G, Xue Z, Long LR, Allen L, Antani SK. Comparing Deep Learning Models for Multi-cell Classification in Liquid- based Cervical Cytology Image. AMIA Annu Symp Proc. 2019; 2019: 820–827.
  • 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).
  • 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.
  • 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.
  • 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
  • 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.
  • Zou J, Xue Z, Brown G, Long LR, Antani SK. Deep learning for nuclei segmentation and cell classification in cervical liquid based cytology. Proc. SPIE 11318, Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications, 1131811 (2 March 2020); doi: 10.1117/12.2549547
  • 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.
  • 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.
  • 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.
  • 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.

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