Ender Konukoglu

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Antonio CriminisiPartner Research Lead at Microsoft CorporationAdresse e-mail validée de microsoft.com
Ben GlockerImperial College LondonAdresse e-mail validée de imperial.ac.uk
Nicholas AyacheResearch Director at INRIA/ CSO of 3IA Côte d'AzurAdresse e-mail validée de inria.fr
Olivier ClatzINRIAAdresse e-mail validée de inria.fr
Jamie ShottonWayveAdresse e-mail validée de wayve.ai
Bjoern MenzeUniversität ZürichAdresse e-mail validée de uzh.ch
Hervé DelingetteInria, Epione TeamAdresse e-mail validée de inria.fr
Darko ZikicAdresse e-mail validée de in.tum.de
Maxime SermesantInria, Université Côte d'Azur - IHU Liryc - 3IA Côte d'AzurAdresse e-mail validée de inria.fr
Prof. Dr. Jan UnkelbachUniversity Hospital ZurichAdresse e-mail validée de usz.ch
Kilian M. PohlProfessor, Department of Psychiatry and (by courtesy) Electrical Engineering, Stanford UniversityAdresse e-mail validée de stanford.edu
Çağatay DemiralpAmazon & MIT CSAILAdresse e-mail validée de cs.stanford.edu
Dong Hye YeAssistant Professor, Georgia State University, TReNDS CenterAdresse e-mail validée de gsu.edu
Juan Eugenio IglesiasMassachusetts General Hospital & Harvard Medical School / MIT / UCLAdresse e-mail validée de mgh.harvard.edu
Erdem YorukVispera Information TechnologiesAdresse e-mail validée de vispera.co
Jérôme DarbonDivision of Applied Mathematics, Brown UniversityAdresse e-mail validée de brown.edu
Bulent SankurProfessor of Electrical and Electronics Engineering, Bogazici UniversityAdresse e-mail validée de boun.edu.tr
Mert R. SabuncuCornell University, Cornell Tech, Weill Cornell MedicineAdresse e-mail validée de cornell.edu
Burak AcarProfessor of Electrical & Electronics Eng., Bogazici UniversityAdresse e-mail validée de boun.edu.tr
William M. Wells III (Sandy)Harvard Medical School, M.I.T.Adresse e-mail validée de bwh.harvard.edu

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Ender Konukoglu

ETH Zurich

Adresse e-mail validée de vision.ee.ethz.ch - Page d'accueil

Medical Image Analysis Biophysical Modeling


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	6529	2014
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	1304	2012
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	658	2013
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	602	2020
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	591	2021
Shape-based hand recognition E Yoruk, E Konukoglu, B Sankur, J Darbon IEEE transactions on image processing 15 (7), 1803-1815, 2006	441	2006
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	376	2012
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	364	2011
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	355	2022
Unsupervised detection of lesions in brain MRI using constrained adversarial auto-encoders X Chen, E Konukoglu arXiv preprint arXiv:1806.04972, 2018	342	2018
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	331	2018
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	316	2011
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	252	2019
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	252	2012
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	236	2009
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	232	2013
Test-time adaptable neural networks for robust medical image segmentation N Karani, E Erdil, K Chaitanya, E Konukoglu Medical Image Analysis 68, 101907, 2021	194	2021
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	191	2018
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	188	2019
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	187	2015

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