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Dana Cobzas
Dana Cobzas
Associate Professor, MacEwan University
Verified email at ualberta.ca - Homepage
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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
1822014
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
1702007
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
1452015
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
1132020
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
932009
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
882012
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
672015
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
622006
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
582003
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
522012
Recent Methods for Image-Based Modeling and Rendering.
D Burschka, GD Hager, Z Dodds, M Jägersand, D Cobzas, K Yerex
VR, 299, 2003
522003
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
492009
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
482017
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
452017
Progressive iron accumulation across multiple sclerosis phenotypes revealed by sparse classification of deep gray matter
AM Elkady, D Cobzas, H Sun, G Blevins, AH Wilman
Journal of Magnetic Resonance Imaging 46 (5), 1464-1473, 2017
442017
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
432014
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
422009
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
392018
Cognitive implications of deep gray matter iron in multiple sclerosis
E Fujiwara, JA Kmech, D Cobzas, H Sun, P Seres, G Blevins, AH Wilman
American Journal of Neuroradiology 38 (5), 942-948, 2017
382017
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
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