| 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 | 156 | 2007 |
| 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 | 112 | 2014 |
| 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 | 74 | 2015 |
| 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 | 61 | 2009 |
| 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 | 55 | 2012 |
| 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 | 54 | 2003 |
| 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 | 52 | 2006 |
| Recent Methods for Image-Based Modeling and Rendering. D Burschka, GD Hager, Z Dodds, M Jägersand, D Cobzas, K Yerex VR, 299, 2003 | 52 | 2003 |
| 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 | 41 | 2015 |
| 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 | 41 | 2012 |
| 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 | 40 | 2009 |
| 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 | 33 | 2010 |
| 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 | 32 | 2009 |
| 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 | 32 | 2009 |
| 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 | 30 | 2002 |
| Random walks for deformable image registration D Cobzas, A Sen International Conference on Medical Image Computing and Computer-Assisted …, 2011 | 28 | 2011 |
| 3D SSD tracking with estimated 3D planes D Cobzas, M Jagersand, P Sturm Image and Vision Computing 27 (1-2), 69-79, 2009 | 27 | 2009 |
| 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 | 26 | 2009 |
| 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 | 25 | 2014 |
| 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 | 24 | 2002 |
