Difference between revisions of "Particle UNC Utah"
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Latest revision as of 18:27, 10 July 2017
Home < Particle UNC UtahContents
Introduction
This training seminar has as major goal keep the scientific community up-to-date with the latest extensions of ShapeWorks, and with practical information of usage, potential applications, and future development.
Date
Shape and Stats seminar series March 16th, 2012 3pm - 4pm
Outline
- Basic particle correspondence review
- Extensions
- Generalized correspondence
- Adaptive sampling
- Geodesic distances
- Normal consistency
- Open surfaces
- Multi-object complexes
- Regression
- Initialization methods
- Applications
- Open discusion
- Future work
Location
Talk will be held at Sitterson Hall, room 248 in the University of North Carolina at Chapel Hill campus, Chapel Hill (NC)
Presenters
- Ipek Oguz, Ph.D., University of North Carolina at Chapel Hill
- Beatriz Paniagua, Ph.D., University of North Carolina at Chapel Hill
Talk contents(ppt)
Other Resources
- Combined SPHARM-PDM and entropybased particle systems shape correspondence methodology, B Paniagua, L Bompard, J Cates, RT Whitaker, M Datar, C Vachet, MA Styner, SPIE Medical Imaging (SPIE 2012)
- Group-wise Automatic Mesh-based Analysis of Cortical Thickness, Vachet, C., Hazlett, H., Niethammer, M., Oguz, I., Cates, J., Whitaker, R., Piven, J., Styner, M., Proc. SPIE 2011
- Geometric correspondence for ensembles of nonregular shapes. M Datar, Y Gur, B Paniagua, M Styner et al. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011 (2011)
- Particle based shape regression of open surfaces with applications to developmental neuroimaging. M Datar, J Cates, P Fletcher, S Gouttard, G Gerig, R Whitaker. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009 (2009) pp. 167-174
- Particle based shape regression of open surfaces with applications to developmental neuroimaging. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009 (2009) pp: 167–174.
- Particle-based shape analysis of multi-object complexes. J Cates, P Fletcher, M Styner, H Hazlett. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008 (2008)
- Cortical correspondence using entropy-based particle systems and local features. I Oguz, J Cates, T Fletcher, R Whitaker, D Cool, S Aylward, M Styner. Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on DOI - 10.1109/ISBI.2008.4541327 (2008) pp. 1637-1640
- Shape modeling and analysis with entropy-based particle systems. J Cates, PT Fletcher, M Styner, M Shenton, R Whitaker. Lecture Notes in Computer Science (2007) vol. 4584 pp. 333
- Entropy-based particle systems for shape correspondence. J Cates, PT Fletcher, R Whitaker. MICCAI Workshop Mathematical Foundations of Computational Anatomy (2006) pp. 90-99
- Robust particle systems for curvature dependent sampling of implicit surfaces. M Meyer, P Georgel, R Whitaker. Shape Modeling and Applications, 2005 International Conference (2005) pp. 124 - 133
Particle Community
- Josh Cates ( cates_AT_sci.utah.edu )
- Ross Whitaker ( whitaker_AT_sci.utah.edu )
- Manasi Datar ( datar_AT_sci.utah.edu )
- Tom Fletcher ( fletcher_AT_sci.utah.edu )
- Martin Styner ( styner_AT_cs.unc.edu )
- Clement Vachet ( cvachet_AT_unc.edu, soon will move to Utah)
- Ipek Oguz ( ipek_AT_cs.unc.edu )
- Beatriz Paniagua ( beatriz_paniagua_AT_med.unc.edu )
- NA-MIC ( http://www.na-mic.org/ )