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Ziv
Yaniv
,
PhD
Senior Computer Researcher
Location: 
38A
/
B1N30D
Phone Number: (
301
) 
827-4975
E-mail: 
zivrafael.yaniv@nih.gov
Expertise and Research Interests: 

Dr. Yaniv joined OHPCC in 2014.

His main research interests are image-guided interventions, medical image analysis, computer vision, and software engineering. He supports the development of open source software, contributing code to several free open source toolkits including  ITK, SimpleITK, and the Image-Guided Surgery Toolkit (IGSTK).

Dr. Yaniv received his Ph.D. in computer science from The Hebrew University of Jerusalem in Israel in 2004. From 2006 to 2011 he was an assistant professor in the Department of Radiology at Georgetown University. From 2011 to 2014 he was a principal investigator at Children's National Hospital in Washington DC.

Professional Activities: 
  • 2013 to the present: Associate Editor, Healthcare Technology Letters, Institution of Engineering and Technology
  • 2013-2015: Chair, SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling
  • 2012-2014: Area Chair, IPCAI (Information Processing in Computer-Assisted Interventions)

Journal Referee:

  • IEEE Transactions on Biomedical Engineering
  • IEEE Transactions on Information Technology Biomedicine
  • IEEE Transactions on Medical Imaging
  • International Journal of Computer Assisted Radiology and Surgery
  • Medical Engineering and Physics
  • Medical Image Analysis

International Conference Program Committees:

  • EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
  • IPCAI
  • MICCAI (Medical Image Computing and Computer Assisted Intervention)
  • SPIE
Professional Organizations: 
  • Senior member, IEEE Engineering in Medicine and Biology Society
  • Senior member, IEEE Computer Society
  • Member, MICCAI Society
Publications/Tools by Ziv Yaniv: 
Peters TM, Linte CA, Yaniv Z, Williams J. Mixed and Augmented Reality in Medicine. CRC Press.
Abstract | URL:  https://www.crcpress.com/Mixed-and-Augmented-Reality-in-Medicine/Peters-Linte-Ya...
AbstractExternal link
Yaniv Z, Güler Ö, Gong RH. Cost Effective Simulation; A Mixed Reality Approach. Ch. 10 in Mixed and Augmented Reality in Medicine.
Abstract | URL:  https://www.taylorfrancis.com/books/e/9781351654432/chapters/10.1201%2F978131515...
AbstractExternal link
Ben-Zikri Y, Yaniv Z, Baum K, Linte C. A Marker-Free Registration Method for Standing X-ray Panorama Reconstruction for Hip-Knee-Ankle Axis Deformity Assessment. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
Abstract
Abstract
Beare R, Lowekamp B, Yaniv Z. Image Segmentation, Registration and Characterization in R with SimpleITK. J Stat Softw. 2018 Aug;86. pii: 8. doi: 10.18637/jss.v086.i08. Epub 2018 Sep 4.
Abstract | PMID:  30288153 | PMCID:  PMC6168008
Abstract
Lowekamp B, Chen D, Yaniv Z, Yoo T. Scalable Simple Linear Iterative Clustering (SSLIC) Using a Generic and Parallel Approach. CoRR, 2018
Abstract | URL:  https://arxiv.org/abs/1806.08741
AbstractExternal link
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.
Abstract | PMID:  29181613 | PMCID:  PMC5959828
Abstract
Dangi S, Linte C, Yaniv Z. Cine cardiac MRI slice misalignment correction towards full 3D left ventricle segmentation SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, Texas, in press.
Abstract | PMID:  30294064 | PMCID:  PMC6168009
Abstract
Fallavollita P, Kersten M, Linte CA, Pratt P, Yaniv Z. Guest Editors' Foreword: Special Issue on Augmented Environments for Computer-Assisted Interventions CAI systems enable more precise, safer, and less invasive interventional treatments [Letter]. Healthc Technol Lett. 2017 Oct 27;4(5):149. doi: 10.1049/htl.2017.0078. eCollection 2017 Oct.
Abstract | PMID:  29184653 | PMCID:  PMC5683192
Abstract
Linte CA, Yaniv Z. Image-Guided Interventions: We've come a long way, but are we there? IEEE Pulse. 2016 Nov-Dec;7(6):46-50.
Abstract | PMID:  27875119
Abstract
Yaniv Z, Faruque J, Howe S, Dunn K, Sharlip D, Bond A, Perillan P, Bodenreider O, Ackerman M, Yoo TS. The national library of medicine pill image recognition challenge: An initial report. Z. Yaniv et al., "The national library of medicine pill image recognition challenge: An initial report," 2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, 2016, pp. 1-9. doi: 10.1109/AIPR.2016.8010584. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8010584&isnumber=8010542.
Abstract
Abstract

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