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Dana Cobzas
Dana Cobzas
Research Associate, University of Alberta
Verified email at ualberta.ca - Homepage
Title
Cited by
Cited by
Year
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
1712014
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
1682007
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
1302015
Evaluation of automated computed tomography segmentation to assess body composition and mortality associations in cancer patients
EM Cespedes Feliciano, K Popuri, D Cobzas, VE Baracos, MF Beg, ...
Journal of cachexia, sarcopenia and muscle 11 (5), 1258-1269, 2020
852020
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
842009
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, 493-506, 2012
792012
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
622015
Variational shape and reflectance estimation under changing light and viewpoints
N Birkbeck, D Cobzas, P Sturm, M Jagersand
Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006
612006
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
602003
Recent Methods for Image-Based Modeling and Rendering.
D Burschka, GD Hager, Z Dodds, M Jägersand, D Cobzas, K Yerex
VR, 299, 2003
512003
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
472012
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
462009
Toward automatic diagnosis of hip dysplasia from 2D ultrasound
AR Hareendranathan, D Zonoobi, M Mabee, D Cobzas, K Punithakumar, ...
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
412017
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
412017
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
412014
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, 562-571, 2009
412009
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
382009
Segmentation-by-detection: A cascade network for volumetric medical image segmentation
M Tang, Z Zhang, D Cobzas, M Jagersand, JL Jaremko
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018
372018
Developmental hip dysplasia diagnosis at three-dimensional US: a multicenter study
D Zonoobi, A Hareendranathan, E Mostofi, M Mabee, S Pasha, D Cobzas, ...
Radiology 287 (3), 1003-1015, 2018
352018
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
342002
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Articles 1–20