You are here

Show:
Printer-friendly versionPrinter-friendly version
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • Zhang X, Zou J, Le DX, Thoma GR. Combining Discriminative SVM models for the Improved Recognition of Investigator Names in Medical Articles. Proceedings of SPIE Volume 8658, Document Recognition and Retrieval XX, IS&T/SPIE Electronic Imaging 2013.
  • Zheng Q, Lu Y, Lure F, Jaeger S, Lu P. Clinical and radiological features of novel coronavirus pneumonia. Journal of X-Ray Science and Technology, vol. 28, no. 3, pp. 391-404, 2020.
  • 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, 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
  • 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
  • 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.
  • 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
  • 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
  • Zweigenbaum P, Demner-Fushman D, Yu H, Cohen KB. Frontiers of biomedical text mining: current progress Brief Bioinform. 2007 Sep;8(5):358-75. Epub 2007 Oct 30.

Pages