| 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 | 173 | 2014 |
| 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 | 168 | 2007 |
| 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 | 130 | 2015 |
| 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 | 91 | 2020 |
| 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 | 85 | 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, 493-506, 2012 | 81 | 2012 |
| 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 | 62 | 2015 |
| 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 | 61 | 2006 |
| 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 | 58 | 2003 |
| Recent Methods for Image-Based Modeling and Rendering. D Burschka, GD Hager, Z Dodds, M Jägersand, D Cobzas, K Yerex VR, 299, 2003 | 51 | 2003 |
| 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 | 48 | 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 | 47 | 2009 |
| 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 | 44 | 2017 |
| 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 | 43 | 2017 |
| 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 | 41 | 2014 |
| 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 | 41 | 2009 |
| 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 | 37 | 2018 |
| 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 | 37 | 2018 |
| 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 | 37 | 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 | 34 | 2002 |
