Ender Konukoglu
Title
Cited by
Cited by
Year
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
17682014
Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
A Criminisi, J Shotton, E Konukoglu
Foundations and Trends® in Computer Graphics and Vision 7 (2–3), 81-227, 2012
7842012
Shape-based hand recognition
E Yoruk, E Konukoglu, B Sankur, J Darbon
IEEE transactions on image processing 15 (7), 1803-1815, 2006
3672006
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
3442010
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
3092011
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
2482012
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
2362013
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
2242011
Image guided personalization of reaction-diffusion type tumor growth models using modified anisotropic eikonal equations
E Konukoglu, O Clatz, BH Menze, B Stieltjes, MAÉ Weber, E Mandonnet, ...
IEEE transactions on medical imaging 29 (1), 77-95, 2009
1832009
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
1482012
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
1432007
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
1272013
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
1182010
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
1112015
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
1092010
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
1052008
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
1002013
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, 1-9, 2012
922012
Efficient probabilistic model personalization integrating uncertainty on data and parameters: Application to eikonal-diffusion models in cardiac electrophysiology
E Konukoglu, J Relan, U Cilingir, BH Menze, P Chinchapatnam, A Jadidi, ...
Progress in Biophysics and Molecular Biology 107 (1), 134-146, 2011
922011
An anisotropic multi-front fast marching method for real-time simulation of cardiac electrophysiology
M Sermesant, E Konukoglu, H Delingette, Y Coudière, P Chinchapatnam, ...
International Conference on Functional Imaging and Modeling of the Heart …, 2007
892007
The system can't perform the operation now. Try again later.
Articles 1–20