Demetri Terzopoulos

Affiliations: 
Computer Science University of California, Los Angeles, Los Angeles, CA 
Area:
computer graphics, computer vision, medical image analysis, computer-aided design, artificial life/intelligence
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"Demetri Terzopoulos"
Bio:

https://www.genealogy.math.ndsu.nodak.edu/id.php?id=67135
Terzopoulos, Demetri, Multiresolution computation of visible-surface representations Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1984.

Parents

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John Michael Brady grad student 1984 MIT
Shimon Ullman grad student 1984 MIT (Neurotree)
 (Multiresolution computation of visible-surface representations.)

Children

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Dimitris N. Metaxas grad student 1992 University of Toronto
William R. Hewlett grad student 2013 UCLA
Kresimir Petrinec grad student 2013 UCLA
Weiguang Si grad student 2013 UCLA
Lap-Fai Yu grad student 2013 UCLA
Jin K. Gahm grad student 2014 UCLA
Jingyi Fang grad student 2015 UCLA
Jorge C. Lucero post-doc 1996-1997 University of Toronto
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Publications

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Weiss T, Litteneker A, Duncan N, et al. (2018) Fast and Scalable Position-Based Layout Synthesis. Ieee Transactions On Visualization and Computer Graphics
Chong K, Jiang C, Ram D, et al. (2017) Visualization of vascular injuries in extremity trauma. Medical & Biological Engineering & Computing
Ding X, Pang J, Ren Z, et al. (2016) Automated pericardial fat quantification from coronary magnetic resonance angiography: feasibility study. Journal of Medical Imaging (Bellingham, Wash.). 3: 014002
Hell MM, Ding X, Rubeaux M, et al. (2016) Epicardial adipose tissue volume but not density is an independent predictor for myocardial ischemia. Journal of Cardiovascular Computed Tomography
Yu LF, Yeung SK, Terzopoulos D. (2016) The Clutterpalette: An Interactive Tool for Detailing Indoor Scenes. Ieee Transactions On Visualization and Computer Graphics. 22: 1138-48
Ding X, Terzopoulos D, Diaz-Zamudio M, et al. (2015) Automated pericardium delineation and epicardial fat volume quantification from noncontrast CT. Medical Physics. 42: 5015
Prasad G, Joshi AA, Feng A, et al. (2014) Skull-stripping with machine learning deformable organisms. Journal of Neuroscience Methods. 236: 114-24
Prasad G, Joshi AA, Thompson PM, et al. (2011) SKULL-STRIPPING WITH DEFORMABLE ORGANISMS. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 1662-1665
McInerney T, Hamarneh G, Shenton M, et al. (2002) Deformable organisms for automatic medical image analysis. Medical Image Analysis. 6: 251-66
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