Ender Konukoglu
Orcid: 0000-0003-4152-1323
According to our database1,
Ender Konukoglu
authored at least 130 papers
between 2004 and 2023.
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Bibliography
2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Medical Image Anal., 2023
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Medical Image Anal., 2023
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023
Live Image-Based Neurosurgical Guidance and Roadmap Generation Using Unsupervised Embedding.
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior.
IEEE Trans. Medical Imaging, 2022
A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer.
Comput. Biol. Medicine, 2022
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Medical Image Anal., 2021
Medical Image Anal., 2021
Medical Image Anal., 2021
CoRR, 2021
CoRR, 2021
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021
2020
Medical Image Anal., 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control.
CoRR, 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
An image interpolation approach for acquisition time reduction in navigator-based 4D MRI.
Medical Image Anal., 2019
J. Mach. Learn. Res., 2019
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects.
CoRR, 2019
CoRR, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Synchrotron X-Ray Phase Contrast Imaging and Deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
2018
Reducing Navigators in Free-Breathing Abdominal MRI via Temporal Interpolation Using Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2018
as-PSOCT: Volumetric microscopic imaging of human brain architecture and connectivity.
NeuroImage, 2018
Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots.
Mach. Vis. Appl., 2018
Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots.
Neurocomputing, 2018
Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks.
CoRR, 2018
CoRR, 2018
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders.
CoRR, 2018
Proceedings of the Shape in Medical Imaging, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
A deep learning based fusion of RGB camera information and magnetic localization information for endoscopic capsule robots.
Int. J. Intell. Robotics Appl., 2017
Int. J. Intell. Robotics Appl., 2017
A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot.
CoRR, 2017
A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots.
CoRR, 2017
Six Degree-of-Freedom Localization of Endoscopic Capsule Robots using Recurrent Neural Networks embedded into a Convolutional Neural Network.
CoRR, 2017
CoRR, 2017
Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
2016
Multivariate statistical analysis of diffusion imaging parameters using partial least squares: Application to white matter variations in Alzheimer's disease.
NeuroImage, 2016
Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
IEEE Trans. Medical Imaging, 2015
Neuroinformatics, 2015
NeuroImage, 2015
2014
CoRR, 2014
2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Regression forests for efficient anatomy detection and localization in computed tomography scans.
Medical Image Anal., 2013
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013
2012
IEEE Trans. Medical Imaging, 2012
Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning.
Found. Trends Comput. Graph. Vis., 2012
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Joint Classification-Regression Forests for Spatially Structured Multi-object Segmentation.
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images.
NeuroImage, 2011
A multi-front eikonal model of cardiac electrophysiology for interactive simulation of radio-frequency ablation.
Comput. Graph., 2011
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Information Processing in Medical Imaging, 2011
Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning.
Proceedings of the Information Processing in Medical Imaging, 2011
2010
Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations.
IEEE Trans. Medical Imaging, 2010
Extrapolating glioma invasion margin in brain magnetic resonance images: Suggesting new irradiation margins.
Medical Image Anal., 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010
2009
Modeling Glioma Growth and Personalizing Growth Models in Medical Images. (Modélisation de la croissance des gliomes et personnalisation des modéles de croissance à l'aide d'images médicales).
PhD thesis, 2009
2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
IEEE Trans. Medical Imaging, 2007
Signal Process., 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling.
Proceedings of the Information Processing in Medical Imaging, 2007
An Anisotropic Multi-front Fast Marching Method for Real-Time Simulation of Cardiac Electrophysiology.
Proceedings of the Functional Imaging and Modeling of the Heart, 2007
2006
Extrapolating Tumor Invasion Margins for Physiologically Determined Radiotherapy Regions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
2005
Proceedings of the 13th European Signal Processing Conference, 2005
2004
Proceedings of the 2004 12th European Signal Processing Conference, 2004