Dana Cobzas
Dana Cobzas
Research Associate, University of Alberta
Zweryfikowany adres z ualberta.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
1532007
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
1232014
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
812015
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
652009
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
582012
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
552006
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
532003
Recent Methods for Image-Based Modeling and Rendering.
D Burschka, GD Hager, Z Dodds, M Jägersand, D Cobzas, K Yerex
VR, 299, 2003
492003
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
432015
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
432009
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
382012
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
382010
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
342009
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
332009
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
322002
A deep level set method for image segmentation
M Tang, S Valipour, Z Zhang, D Cobzas, M Jagersand
Deep learning in medical image analysis and multimodal learning for clinical …, 2017
292017
Random walks for deformable image registration
D Cobzas, A Sen
International Conference on Medical Image Computing and Computer-Assisted …, 2011
282011
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
272014
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
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