Dana Cobzas
Dana Cobzas
Research Associate, University of Alberta
Adresse e-mail validée de ualberta.ca - Page d'accueil
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3D variational brain tumor segmentation using a high dimensional feature set
D Cobzas, N Birkbeck, M Schmidt, M Jagersand, A Murtha
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
1552007
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study
RD Rudyanto, S Kerkstra, EM Van Rikxoort, C Fetita, PY Brillet, C Lefevre, ...
Medical image analysis 18 (7), 1217-1232, 2014
1082014
Body composition assessment in axial CT images using FEM-based automatic segmentation of skeletal muscle
K Popuri, D Cobzas, N Esfandiari, V Baracos, M Jägersand
IEEE transactions on medical imaging 35 (2), 512-520, 2015
742015
Automated segmentation of muscle and adipose tissue on CT images for human body composition analysis
H Chung, D Cobzas, L Birdsell, J Lieffers, V Baracos
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling …, 2009
602009
3D variational brain tumor segmentation using Dirichlet priors on a clustered feature set
K Popuri, D Cobzas, A Murtha, M Jägersand
International journal of computer assisted radiology and surgery 7 (4), 493-506, 2012
552012
Image-based localization with depth-enhanced image map
D Cobzas, H Zhang, M Jagersand
2003 IEEE International Conference on Robotics and Automation (Cat. No …, 2003
542003
Variational shape and reflectance estimation under changing light and viewpoints
N Birkbeck, D Cobzas, P Sturm, M Jagersand
European conference on computer vision, 536-549, 2006
532006
Recent Methods for Image-Based Modeling and Rendering.
D Burschka, GD Hager, Z Dodds, M Jägersand, D Cobzas, K Yerex
VR, 299, 2003
522003
Subcortical gray matter segmentation and voxel‐based analysis using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosis
D Cobzas, H Sun, AJ Walsh, RM Lebel, G Blevins, AH Wilman
Journal of Magnetic Resonance Imaging 42 (6), 1601-1610, 2015
402015
Tumor invasion margin on the Riemannian space of brain fibers
P Mosayebi, D Cobzas, A Murtha, M Jagersand
Medical image analysis 16 (2), 361-373, 2012
402012
An interactive graph cut method for brain tumor segmentation
N Birkbeck, D Cobzas, M Jagersand, A Murtha, T Kesztyues
2009 Workshop on Applications of Computer Vision (WACV), 1-7, 2009
392009
Incremental free-space carving for real-time 3d reconstruction
D Lovi, N Birkbeck, D Cobzas, M Jagersand
Fifth international symposium on 3D data processing visualization and …, 2010
332010
Increased discrimination in level set methods with embedded conditional random fields
D Cobzas, M Schmidt
2009 IEEE Conference on Computer Vision and Pattern Recognition, 328-335, 2009
322009
3D variational brain tumor segmentation on a clustered feature set
K Popuri, D Cobzas, M Jagersand, SL Shah, A Murtha
Medical Imaging 2009: Image Processing 7259, 72591N, 2009
322009
A comparative analysis of geometric and image-based volumetric and intensity data registration algorithms
D Cobzas, H Zhang, M Jagersand
Proceedings 2002 IEEE International Conference on Robotics and Automation …, 2002
302002
Random walks for deformable image registration
D Cobzas, A Sen
International Conference on Medical Image Computing and Computer-Assisted …, 2011
272011
3D SSD tracking with estimated 3D planes
D Cobzas, M Jagersand, P Sturm
Image and Vision Computing 27 (1-2), 69-79, 2009
272009
Tumor invasion margin on the riemannian space of brain fibers
D Cobzas, P Mosayebi, A Murtha, M Jagersand
International Conference on Medical Image Computing and Computer-Assisted …, 2009
262009
Stacked multiscale feature learning for domain independent medical image segmentation
R Kiros, K Popuri, D Cobzas, M Jagersand
International workshop on machine learning in medical imaging, 25-32, 2014
242014
Dynamic Textures for Image‐based Rendering of Fine‐Scale 3D Structure and Animation of Non‐rigid Motion
D Cobzaş, K Yerex, M Jägersand
Computer Graphics Forum 21 (3), 493-502, 2002
242002
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