| The multimodal brain tumor image segmentation benchmark (BRATS) BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ... IEEE transactions on medical imaging 34 (10), 1993-2024, 2014 | 2350 | 2014 |
| Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning A Criminisi, J Shotton, E Konukoglu Now 7, 81-227, 2012 | 886 | 2012 |
| Shape-based hand recognition E Yoruk, E Konukoglu, B Sankur, J Darbon IEEE transactions on image processing 15 (7), 1803-1815, 2006 | 382 | 2006 |
| Regression forests for efficient anatomy detection and localization in CT studies A Criminisi, J Shotton, D Robertson, E Konukoglu International MICCAI Workshop on Medical Computer Vision, 106-117, 2010 | 362 | 2010 |
| Decision forests for classification, regression, density estimation, manifold learning and semi-supervised learning A Criminisi, J Shotton, E Konukoglu Microsoft Research Cambridge, Tech. Rep. MSRTR-2011-114 5 (6), 12, 2011 | 334 | 2011 |
| Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR D Zikic, B Glocker, E Konukoglu, A Criminisi, C Demiralp, J Shotton, ... International Conference on Medical Image Computing and Computer-Assisted …, 2012 | 266 | 2012 |
| Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images E Geremia, O Clatz, BH Menze, E Konukoglu, A Criminisi, N Ayache NeuroImage 57 (2), 378-390, 2011 | 250 | 2011 |
| Regression forests for efficient anatomy detection and localization in computed tomography scans A Criminisi, D Robertson, E Konukoglu, J Shotton, S Pathak, S White, ... Medical image analysis 17 (8), 1293-1303, 2013 | 249 | 2013 |
| Image guided personalization of reaction-diffusion type tumor growth models using modified anisotropic eikonal equations E Konukoglu, O Clatz, BH Menze, B Stieltjes, MA Weber, E Mandonnet, ... IEEE transactions on medical imaging 29 (1), 77-95, 2009 | 193 | 2009 |
| Automatic localization and identification of vertebrae in arbitrary field-of-view CT scans B Glocker, J Feulner, A Criminisi, DR Haynor, E Konukoglu International Conference on Medical Image Computing and Computer-Assisted …, 2012 | 165 | 2012 |
| Glioma dynamics and computational models: a review of segmentation, registration, and in silico growth algorithms and their clinical applications ED Angelini, O Clatz, E Mandonnet, E Konukoglu, L Capelle, H Duffau Current Medical Imaging 3 (4), 262-276, 2007 | 147 | 2007 |
| Vertebrae localization in pathological spine CT via dense classification from sparse annotations B Glocker, D Zikic, E Konukoglu, DR Haynor, A Criminisi International conference on medical image computing and computer-assisted …, 2013 | 138 | 2013 |
| An exploration of 2D and 3D deep learning techniques for cardiac MR image segmentation CF Baumgartner, LM Koch, M Pollefeys, E Konukoglu International Workshop on Statistical Atlases and Computational Models of …, 2017 | 129 | 2017 |
| Clinical prediction from structural brain MRI scans: a large-scale empirical study MR Sabuncu, E Konukoglu, Alzheimer’s Disease Neuroimaging Initiative Neuroinformatics 13 (1), 31-46, 2015 | 124 | 2015 |
| Spatial decision forests for MS lesion segmentation in multi-channel MR images E Geremia, BH Menze, O Clatz, E Konukoglu, A Criminisi, N Ayache International Conference on Medical Image Computing and Computer-Assisted …, 2010 | 120 | 2010 |
| Unsupervised detection of lesions in brain mri using constrained adversarial auto-encoders X Chen, E Konukoglu arXiv preprint arXiv:1806.04972, 2018 | 115 | 2018 |
| Extrapolating glioma invasion margin in brain magnetic resonance images: Suggesting new irradiation margins E Konukoglu, O Clatz, PY Bondiau, H Delingette, N Ayache Medical image analysis 14 (2), 111-125, 2010 | 115 | 2010 |
| Is synthesizing MRI contrast useful for inter-modality analysis? JE Iglesias, E Konukoglu, D Zikic, B Glocker, K Van Leemput, B Fischl International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 114 | 2013 |
| Computational modeling of the WHO grade II glioma dynamics: principles and applications to management paradigm E Mandonnet, J Pallud, O Clatz, L Taillandier, E Konukoglu, H Duffau, ... Neurosurgical review 31 (3), 263-269, 2008 | 112 | 2008 |
| Context-sensitive classification forests for segmentation of brain tumor tissues D Zikic, B Glocker, E Konukoglu, J Shotton, A Criminisi, D Ye, C Demiralp, ... Proc MICCAI-BraTS, 1-8, 2012 | 101 | 2012 |
Antonio CriminisiResearch Manager at AmazonVerified email at microsoft.com
