You are here

Show:
Printer-friendly versionPrinter-friendly version
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Yaniv Z, Lowekamp B, Johnson HJ, Beare R. SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research. J Digit Imaging. 2018 Jun;31(3):290-303. doi: 10.1007/s10278-017-0037-8.
  • Yaniv Z. Registration for Orthopaedic Interventions. Chapter 3 in: Zheng G, Li S, editors. Computational Radiology for Orthopaedic Interventions: Lecture Notes in Computational Vision and Biomechanics. Springer International Publishing; c2016. p. 41-70.
  • Yaniv Z, Linte CA. Applications of Augmented Reality in the Operating Room. Chapter 19 in Fundamentals of Wearable Computers and Augmented Reality, 2nd ed. CRC Press, 2015.
  • Yaniv Z, Holmes DR III, editors. Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling. Proceedings of conference held 2014 Feb 15-20; San Diego. Proc. SPIE 9036; 2014 Mar 12. 764 pages. ISBN: 9780819498298.
  • Yepes AJ, Prieur-Gaston E, Névéol A. Combining MEDLINE and publisher data to create parallel corpora for the automatic translation of biomedical text. BMC Bioinformatics. 2013 Apr 30;14:146. doi: 10.1186/1471-2105-14-146.
  • Yoo TS, Bliss D, Lowekamp B, Chen D, Murphy GE, Narayan K, Hartnell LM, Do T, Subramaniam S. Visualizing cells and humans in 3D: Biomedical image analysis at nanometer and meter scales. IEEE Computer Graphics and Applications. 2012 Sep-Oct;32(5):39-49. DOI: 10.1109/MCG.2012.68.
  • Yoo TS. 3D Medical Informatics: Information Science in Multiple Dimensions. In: Chen H, Fuller SS, Friedman C, Hersh W, editors. Medical Informatics: Knowledge Management and Data Mining in Biomedicine. New York: Springer Science. p. 333-58.
  • Yoo TS. The Insight Toolkit: An Open-Source Initiative in Data Segmentation and Registration. In: Johnson C, Hansen C, editors. The Visualization Handbook. Amsterdam: Elsevier; 2005. p. 733-48.
  • Yoo TS, Metaxas DN. Open science – combining open data and open source software: Medical image analysis with the Insight Toolkit. Med Image Anal. 2005 Dec;9(6):503-6. Epub 2005 Sep 19.
  • Yoo TS, Ackerman MJ. Open Source Software for Medical Image Processing and Visualization. Communications of the ACM. 2005 Feb;48(2):55-9. DOI:10.1145/1042091.1042120.
  • Yoo TS, editor. Insight Into Images: Principles and Practice for Segmentation, Registration, and Image Analysis. Natick, Massachusetts: A.K. Peters; 2004 Aug 16. 410 pages.
  • Yoo TS, Machiraju R, editors. From Transfer Functions to Level Sets: Advanced Topics in Volume Image Processing. Tutorial Notes for IEEE Visualization 2001; 2001 Oct 21-26; San Diego. 100 pages.
  • Yoo TS, Machiraju R, editors. Image Processing for Volume Graphics. Tutorial Notes for ACM SIGGRAPH 2001; 2001 Aug 12-17; Los Angeles. 333 pages.
  • Yoo TS, Machiraju R, editors. Image Processing for Volume Graphics and Analysis. Tutorial Notes for IEEE Visualization 2000; 2000 Oct 8-13; Salt Lake City. 125 pages.
  • Zeng-Treitler Q, Kim H, Rosemblat G, Kesselman A. Can multilingual machine translation help make medical record content more comprehensible to patients? Stud Health Technol Inform. 2010;160(Pt 1):73-7.
  • Zhang H, Fiszman M, Shin D, Miller CM, Rosemblat G, Rindflesch TC. Degree centrality for semantic abstraction summarization of therapeutic studies. J Biomed Inform. 2011 Oct;44(5):830-8. doi: 10.1016/j.jbi.2011.05.001. Epub 2011 May 8.
  • Zhang M, Del Fiol G, Grout RW, Jonnalagadda S, Medlin R, Mishra R, Weir C, Liu H, Mostafa J, Fiszman M. Automatic identification of comparative effectiveness research from medline citations to support clinicians' treatment information needs. Stud Health Technol Inform. 2013;192:846-50.
  • Zhang R, Adam TJ, Simon G, Cairelli MJ, Rindflesch T, Pakhomov S, Melton GB. Mining Biomedical Literature to Explore Interactions between Cancer Drugs and Dietary Supplements. AMIA Jt Summits Transl Sci Proc. 2015 Mar 23;2015:69-73. eCollection 2015.
  • Zhang R, Cairelli MJ, Fiszman M, Kilicoglu H, Rindflesch TC, Pakhomov SV, Melton GB. Exploiting Literature-derived Knowledge and Semantics to Identify Potential Prostate Cancer Drugs. Cancer Inform. 2014 Oct 14;13(Suppl 1):103-11. doi: 10.4137/CIN.S13889. eCollection 2014.
  • Zhang R, Cairelli MJ, Fiszman M, Rosemblat G, Kilicoglu H, Rindflesch TC, Pakhomov SV, Melton GB. Using semantic predications to uncover drug-drug interactions in clinical data. J Biomed Inform. 2014 Jun;49:134-47. doi: 10.1016/j.jbi.2014.01.004. Epub 2014 Jan 19.

Pages