Παρακολούθηση
Ender Konukoglu
Ender Konukoglu
ETH Zurich
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα vision.ee.ethz.ch - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
62622014
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
12922012
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
6582013
Contrastive learning of global and local features for medical image segmentation with limited annotations
K Chaitanya, E Erdil, N Karani, E Konukoglu
Advances in neural information processing systems 33, 12546-12558, 2020
5712020
Exploring cross-image pixel contrast for semantic segmentation
W Wang, T Zhou, F Yu, J Dai, E Konukoglu, L Van Gool
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
5582021
Shape-based hand recognition
E Yoruk, E Konukoglu, B Sankur, J Darbon
IEEE transactions on image processing 15 (7), 1803-1815, 2006
4402006
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, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012
3722012
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
3622011
Unsupervised detection of lesions in brain MRI using constrained adversarial auto-encoders
X Chen, E Konukoglu
arXiv preprint arXiv:1806.04972, 2018
3372018
Rethinking semantic segmentation: A prototype view
T Zhou, W Wang, E Konukoglu, L Van Gool
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
3262022
An exploration of 2D and 3D deep learning techniques for cardiac MR image segmentation
CF Baumgartner, LM Koch, M Pollefeys, E Konukoglu
Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018
3182018
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
3102011
Automatic localization and identification of vertebrae in arbitrary field-of-view CT scans
B Glocker, J Feulner, A Criminisi, DR Haynor, E Konukoglu
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012: 15th …, 2012
2492012
Phiseg: Capturing uncertainty in medical image segmentation
CF Baumgartner, KC Tezcan, K Chaitanya, AM Hötker, UJ Muehlematter, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
2412019
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
2322009
Vertebrae localization in pathological spine CT via dense classification from sparse annotations
B Glocker, D Zikic, E Konukoglu, DR Haynor, A Criminisi
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
2282013
Visual feature attribution using wasserstein gans
CF Baumgartner, LM Koch, KC Tezcan, JX Ang, E Konukoglu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1862018
Clinical prediction from structural brain MRI scans: a large-scale empirical study
MR Sabuncu, E Konukoglu, Alzheimer’s Disease Neuroimaging Initiative
Neuroinformatics 13, 31-46, 2015
1842015
Test-time adaptable neural networks for robust medical image segmentation
N Karani, E Erdil, K Chaitanya, E Konukoglu
Medical Image Analysis 68, 101907, 2021
1832021
Semi-supervised and task-driven data augmentation
K Chaitanya, N Karani, CF Baumgartner, A Becker, O Donati, ...
Information Processing in Medical Imaging: 26th International Conference …, 2019
1802019
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