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2020 – today
- 2021
[j30]Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu:
Test-time adaptable neural networks for robust medical image segmentation. Medical Image Anal. 68: 101907 (2021)- [j29]Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Ertunc Erdil, Anton S. Becker, Olivio Donati, Ender Konukoglu:
Semi-supervised task-driven data augmentation for medical image segmentation. Medical Image Anal. 68: 101934 (2021) - [i43]Ke Li, Dengxin Dai, Ender Konukoglu, Luc Van Gool:
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets. CoRR abs/2101.07589 (2021) - [i42]Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool:
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. CoRR abs/2101.11939 (2021) - 2020
- [j28]Xiaoran Chen, Suhang You, Kerem Can Tezcan, Ender Konukoglu:
Unsupervised lesion detection via image restoration with a normative prior. Medical Image Anal. 64: 101713 (2020) - [c46]Anna Volokitin, Ender Konukoglu, Luc Van Gool:
Decomposing Image Generation into Layout Prediction and Conditional Synthesis. CVPR Workshops 2020: 1530-1538 - [c45]Marc Gantenbein, Ertunc Erdil, Ender Konukoglu:
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation. UNSURE/GRAIL@MICCAI 2020: 13-22 - [c44]Mélanie Gaillochet, Kerem Can Tezcan, Ender Konukoglu:
Joint Reconstruction and Bias Field Correction for Undersampled MR Imaging. MICCAI (2) 2020: 44-52 - [c43]Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu:
Modelling the Distribution of 3D Brain MRI Using a 2D Slice VAE. MICCAI (7) 2020: 657-666 - [c42]Katarína Tóthová
, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu:
Probabilistic 3D Surface Reconstruction from Sparse MRI Information. MICCAI (1) 2020: 813-823 - [c41]Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu:
Contrastive learning of global and local features for medical image segmentation with limited annotations. NeurIPS 2020 - [i41]Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King:
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control. CoRR abs/2001.11711 (2020) - [i40]Neerav Karani, Krishna Chaitanya, Ender Konukoglu:
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation. CoRR abs/2004.04668 (2020) - [i39]Xiaoran Chen, Suhang You, Kerem Can Tezcan, Ender Konukoglu:
Unsupervised Lesion Detection via Image Restoration with a Normative Prior. CoRR abs/2005.00031 (2020) - [i38]Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu:
Contrastive learning of global and local features for medical image segmentation with limited annotations. CoRR abs/2006.10511 (2020) - [i37]Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu:
Unsupervised out-of-distribution detection using kernel density estimation. CoRR abs/2006.10712 (2020) - [i36]Anna Volokitin, Ertunc Erdil, Neerav Karani, Kerem Can Tezcan, Xiaoran Chen, Luc Van Gool, Ender Konukoglu:
Modelling the Distribution of 3D Brain MRI using a 2D Slice VAE. CoRR abs/2007.04780 (2020) - [i35]Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu:
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation. CoRR abs/2007.05363 (2020) - [i34]Mélanie Gaillochet, Kerem Can Tezcan, Ender Konukoglu:
Joint reconstruction and bias field correction for undersampled MR imaging. CoRR abs/2007.13123 (2020) - [i33]Marc Gantenbein, Ertunc Erdil, Ender Konukoglu:
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation. CoRR abs/2008.06999 (2020) - [i32]Kerem Can Tezcan, Christian F. Baumgartner, Ender Konukoglu:
Sampling possible reconstructions of undersampled acquisitions in MR imaging. CoRR abs/2010.00042 (2020) - [i31]Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu:
Probabilistic 3D surface reconstruction from sparse MRI information. CoRR abs/2010.02041 (2020)
2010 – 2019
- 2019
- [j27]Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker:
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. J. Mach. Learn. Res. 20: 178:1-178:29 (2019) - [j26]Neerav Karani, Lin Zhang, Christine Tanner, Ender Konukoglu:
An image interpolation approach for acquisition time reduction in navigator-based 4D MRI. Medical Image Anal. 54: 20-29 (2019) - [j25]Kerem Can Tezcan, Christian F. Baumgartner, Roger Luechinger, Klaas P. Pruessmann, Ender Konukoglu:
MR Image Reconstruction Using Deep Density Priors. IEEE Trans. Medical Imaging 38(7): 1633-1642 (2019) - [c40]Hector Dejea, Christine Tanner, Radhakrishna Achanta, Marco Stampanoni, Fernando Pérez-Cruz, Ender Konukoglu, Anne Bonnin:
Synchrotron X-Ray Phase Contrast Imaging and Deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model. FIMH 2019: 187-195 - [c39]Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Anton S. Becker, Olivio Donati, Ender Konukoglu:
Semi-supervised and Task-Driven Data Augmentation. IPMI 2019: 29-41 - [c38]Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu:
PHiSeg: Capturing Uncertainty in Medical Image Segmentation. MICCAI (2) 2019: 119-127 - [c37]Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu:
Unsupervised Lesion Detection with Locally Gaussian Approximation. MLMI@MICCAI 2019: 355-363 - [c36]Robin Brügger, Christian F. Baumgartner, Ender Konukoglu:
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation. MICCAI (3) 2019: 429-437 - [c35]Suhang You, Kerem Can Tezcan, Xiaoran Chen, Ender Konukoglu:
Unsupervised Lesion Detection via Image Restoration with a Normative Prior. MIDL 2019: 540-556 - [e2]M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom. Proceedings of Machine Learning Research 102, PMLR 2019 [contents] - [i30]Krishna Chaitanya, Neerav Karani, Christian F. Baumgartner, Olivio Donati, Anton S. Becker, Ender Konukoglu:
Semi-Supervised and Task-Driven Data Augmentation. CoRR abs/1902.05396 (2019) - [i29]Lukás Jendele, Ondrej Skopek, Anton S. Becker, Ender Konukoglu:
Adversarial Augmentation for Enhancing Classification of Mammography Images. CoRR abs/1902.07762 (2019) - [i28]Christian F. Baumgartner, Kerem Can Tezcan, Krishna Chaitanya, Andreas M. Hötker, Urs J. Muehlematter, Khoschy Schawkat, Anton S. Becker, Olivio Donati, Ender Konukoglu:
PHiSeg: Capturing Uncertainty in Medical Image Segmentation. CoRR abs/1906.04045 (2019) - [i27]Robin Brügger, Christian F. Baumgartner, Ender Konukoglu:
A Partially Reversible U-Net for Memory-Efficient Volumetric Image Segmentation. CoRR abs/1906.06148 (2019) - [i26]M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. CoRR abs/1907.08612 (2019) - [i25]Ben Glocker, Robert Robinson, Daniel Coelho de Castro, Qi Dou, Ender Konukoglu:
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects. CoRR abs/1910.04597 (2019) - 2018
- [j24]Mehmet Turan, Yasin Almalioglu, Helder Araújo, Ender Konukoglu, Metin Sitti:
Deep EndoVO: A recurrent convolutional neural network (RCNN) based visual odometry approach for endoscopic capsule robots. Neurocomputing 275: 1861-1870 (2018) - [j23]Mehmet Turan, Yusuf Yigit Pilavci, Ipek Ganiyusufoglu, Helder Araújo, Ender Konukoglu, Metin Sitti:
Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots. Mach. Vis. Appl. 29(2): 345-359 (2018) - [j22]Hui Wang, Caroline Magnain, Ruopeng Wang, Jay Dubb, Ani Varjabedian, Lee S. Tirrell, Allison Stevens, Jean C. Augustinack, Ender Konukoglu, Iman Aganj, Matthew P. Frosch, Jeremy D. Schmahmann, Bruce Fischl, David A. Boas:
as-PSOCT: Volumetric microscopic imaging of human brain architecture and connectivity. NeuroImage 165: 56-68 (2018) - [j21]Ender Konukoglu, Ben Glocker:
Reconstructing subject-specific effect maps. NeuroImage 181: 521-538 (2018) - [j20]Elena Bernardis, Yong Zhang, Ender Konukoglu, Yangming Ou, Harold S. Javitz, Leon Axel, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl:
eCurves: A Temporal Shape Encoding. IEEE Trans. Biomed. Eng. 65(4): 733-744 (2018) - [j19]Neerav Karani, Christine Tanner, Sebastian Kozerke, Ender Konukoglu:
Reducing Navigators in Free-Breathing Abdominal MRI via Temporal Interpolation Using Convolutional Neural Networks. IEEE Trans. Medical Imaging 37(10): 2333-2343 (2018) - [c34]Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu:
Visual Feature Attribution Using Wasserstein GANs. CVPR 2018: 8309-8319 - [c33]Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner:
Learning to Segment Medical Images with Scribble-Supervision Alone. DLMIA/ML-CDS@MICCAI 2018: 236-244 - [c32]Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu:
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. MLMI@MICCAI 2018: 276-284 - [c31]Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys:
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. ShapeMI@MICCAI 2018: 300-310 - [c30]Gustav Bredell, Christine Tanner, Ender Konukoglu:
Iterative Interaction Training for Segmentation Editing Networks. MLMI@MICCAI 2018: 363-370 - [c29]Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu:
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. MICCAI (1) 2018: 476-484 - [i24]Lin Zhang, Neerav Karani, Christine Tanner, Ender Konukoglu:
Temporal Interpolation via Motion Field Prediction. CoRR abs/1804.04440 (2018) - [i23]Neerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu:
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols. CoRR abs/1805.10170 (2018) - [i22]Xiaoran Chen, Ender Konukoglu:
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders. CoRR abs/1806.04972 (2018) - [i21]Xiaoran Chen, Nick Pawlowski, Martin Rajchl, Ben Glocker, Ender Konukoglu:
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging. CoRR abs/1806.05452 (2018) - [i20]Yigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner:
Learning to Segment Medical Images with Scribble-Supervision Alone. CoRR abs/1807.04668 (2018) - [i19]Christine Tanner, Firat Özdemir, Romy Profanter, Valery Vishnevsky, Ender Konukoglu, Orçun Göksel:
Generative Adversarial Networks for MR-CT Deformable Image Registration. CoRR abs/1807.07349 (2018) - [i18]Gustav Bredell, Christine Tanner, Ender Konukoglu:
Iterative Interaction Training for Segmentation Editing Networks. CoRR abs/1807.08555 (2018) - [i17]Jana Kemnitz, Christian F. Baumgartner, Wolfgang Wirth, Felix Eckstein, Sebastian K. Eder, Ender Konukoglu:
Combining Heterogeneously Labeled Datasets For Training Segmentation Networks. CoRR abs/1807.08935 (2018) - [i16]Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys:
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. CoRR abs/1807.11272 (2018) - [i15]Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker:
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. CoRR abs/1809.10780 (2018) - [i14]Anton S. Becker, Lukás Jendele, Ondrej Skopek, Nicole Berger, Soleen Ghafoor, Magda Marcon, Ender Konukoglu:
Injecting and removing malignant features in mammography with CycleGAN: Investigation of an automated adversarial attack using neural networks. CoRR abs/1811.07767 (2018) - 2017
- [j18]Mehmet Turan, Yasin Almalioglu, Helder Araújo, Ender Konukoglu, Metin Sitti:
A non-rigid map fusion-based direct SLAM method for endoscopic capsule robots. Int. J. Intell. Robotics Appl. 1(4): 399-409 (2017) - [j17]Mehmet Turan, Jahanzaib Shabbir, Helder Araújo, Ender Konukoglu, Metin Sitti:
A deep learning based fusion of RGB camera information and magnetic localization information for endoscopic capsule robots. Int. J. Intell. Robotics Appl. 1(4): 442-450 (2017) - [c28]Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys, Ender Konukoglu:
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation. STACOM@MICCAI 2017: 111-119 - [c27]Neerav Karani, Christine Tanner, Sebastian Kozerke, Ender Konukoglu:
Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing. MICCAI (2) 2017: 359-367 - [c26]Melanie Ganz, Ender Konukoglu:
Permutation tests for classification: revisited. PRNI 2017: 1-4 - [i13]Ender Konukoglu, Ben Glocker:
SubCMap: Subject and Condition Specific Effect Maps. CoRR abs/1701.02610 (2017) - [i12]Mehmet Turan, Yasin Almalioglu, Ender Konukoglu, Metin Sitti:
A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots. CoRR abs/1705.05435 (2017) - [i11]Mehmet Turan, Yasin Almalioglu, Helder Araújo, Ender Konukoglu, Metin Sitti:
A Non-Rigid Map Fusion-Based RGB-Depth SLAM Method for Endoscopic Capsule Robots. CoRR abs/1705.05444 (2017) - [i10]Mehmet Turan, Abdullah Abdullah, Redhwan Jamiruddin, Helder Araújo, Ender Konukoglu, Metin Sitti:
Six Degree-of-Freedom Localization of Endoscopic Capsule Robots using Recurrent Neural Networks embedded into a Convolutional Neural Network. CoRR abs/1705.06196 (2017) - [i9]Mehmet Turan, Yusuf Yigit Pilavci, Redhwan Jamiruddin, Helder Araújo, Ender Konukoglu, Metin Sitti:
A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot. CoRR abs/1705.06524 (2017) - [i8]Mehmet Turan, Yasin Almalioglu, Helder Araújo, Ender Konukoglu, Metin Sitti:
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots. CoRR abs/1708.06822 (2017) - [i7]Mehmet Turan, Yusuf Yigit Pilavci, Ipek Ganiyusufoglu, Helder Araújo, Ender Konukoglu, Metin Sitti:
Sparse-then-Dense Alignment based 3D Map Reconstruction Method for Endoscopic Capsule Robots. CoRR abs/1708.09740 (2017) - [i6]Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys, Ender Konukoglu:
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation. CoRR abs/1709.04496 (2017) - [i5]Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan, Jia Xi Ang, Ender Konukoglu:
Visual Feature Attribution using Wasserstein GANs. CoRR abs/1711.08998 (2017) - [i4]Kerem Can Tezcan, Christian F. Baumgartner, Ender Konukoglu:
MR image reconstruction using the learned data distribution as prior. CoRR abs/1711.11386 (2017) - 2016
- [j16]Ender Konukoglu, Jean-Philippe Coutu, David H. Salat, Bruce Fischl:
Multivariate statistical analysis of diffusion imaging parameters using partial least squares: Application to white matter variations in Alzheimer's disease. NeuroImage 134: 573-586 (2016) - [c25]Ender Konukoglu, Ben Glocker:
Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases. MCV/BAMBI@MICCAI 2016: 3-13 - [c24]Ben Glocker, Ender Konukoglu, Ioannis Lavdas, Juan Eugenio Iglesias, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert:
Correction of Fat-Water Swaps in Dixon MRI. MICCAI (3) 2016: 536-543 - 2015
- [j15]Melanie Ganz, Douglas N. Greve, Bruce Fischl, Ender Konukoglu:
Relevant feature set estimation with a knock-out strategy and random forests. NeuroImage 122: 131-148 (2015) - [j14]Mert R. Sabuncu, Ender Konukoglu:
Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study. Neuroinformatics 13(1): 31-46 (2015) - [j13]Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - 2014
- [i3]Ender Konukoglu, Melanie Ganz:
Approximate False Positive Rate Control in Selection Frequency for Random Forest. CoRR abs/1410.2838 (2014) - 2013
- [j12]Ender Konukoglu, Ben Glocker, Darko Zikic, Antonio Criminisi:
Neighbourhood approximation using randomized forests. Medical Image Anal. 17(7): 790-804 (2013) - [j11]Antonio Criminisi, Duncan P. Robertson, Ender Konukoglu, Jamie Shotton, Sayan D. Pathak, Steve White, Khan M. Siddiqui:
Regression forests for efficient anatomy detection and localization in computed tomography scans. Medical Image Anal. 17(8): 1293-1303 (2013) - [j10]Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl:
WESD-Weighted Spectral Distance for Measuring Shape Dissimilarity. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2284-2297 (2013) - [c23]Florian Dittmann, Bjoern H. Menze, Ender Konukoglu, Jan Unkelbach:
Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation. MBIA 2013: 63-73 - [c22]Ender Konukoglu, André J. W. van der Kouwe, Mert Rory Sabuncu, Bruce Fischl:
Example-Based Restoration of High-Resolution Magnetic Resonance Image Acquisitions. MICCAI (1) 2013: 131-138 - [c21]Ender Konukoglu, Melanie Ganz, Koen Van Leemput, Mert R. Sabuncu:
On Feature Relevance in Image-Based Prediction Models: An Empirical Study. MLMI 2013: 171-178 - [c20]Ben Glocker, Darko Zikic, Ender Konukoglu, David R. Haynor, Antonio Criminisi:
Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations. MICCAI (2) 2013: 262-270 - [c19]Dong Hye Ye, Darko Zikic, Ben Glocker, Antonio Criminisi, Ender Konukoglu:
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization. MICCAI (1) 2013: 606-613 - [c18]Juan Eugenio Iglesias, Ender Konukoglu, Darko Zikic, Ben Glocker, Koen Van Leemput, Bruce Fischl:
Is Synthesizing MRI Contrast Useful for Inter-modality Analysis? MICCAI (1) 2013: 631-638 - 2012
- [j9]Antonio Criminisi, Jamie Shotton, Ender Konukoglu:
Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning. Found. Trends Comput. Graph. Vis. 7(2-3): 81-227 (2012) - [j8]Ender Konukoglu, Ben Glocker, Dong Hye Ye, Antonio Criminisi, Kilian M. Pohl:
Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity. IEEE Trans. Medical Imaging 31(12): 2278-2289 (2012) - [c17]Ben Glocker, Olivier Pauly, Ender Konukoglu, Antonio Criminisi:
Joint Classification-Regression Forests for Spatially Structured Multi-object Segmentation. ECCV (4) 2012: 870-881 - [c16]Elena Bernardis, Ender Konukoglu, Yangming Ou, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl:
Temporal Shape Analysis via the Spectral Signature. MICCAI (2) 2012: 49-56 - [c15]Ender Konukoglu, Ben Glocker, Darko Zikic, Antonio Criminisi:
Neighbourhood Approximation Forests. MICCAI (3) 2012: 75-82 - [c14]Darko Zikic, Ben Glocker, Ender Konukoglu, Antonio Criminisi, Çagatay Demiralp, Jamie Shotton, Owen M. Thomas, Tilak Das, Raj Jena, Stephen J. Price:
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR. MICCAI (3) 2012: 369-376 - [c13]Ben Glocker, Johannes Feulner, Antonio Criminisi, David R. Haynor, Ender Konukoglu:
Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans. MICCAI (3) 2012: 590-598 - [e1]Oscar Camara, Ender Konukoglu, Mihaela Pop, Kawal S. Rhode, Maxime Sermesant, Alistair A. Young:
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7085, Springer 2012, ISBN 978-3-642-28325-3 [contents] - [i2]Ender Konukoglu, Ben Glocker, Antonio Criminisi, Kilian M. Pohl:
WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity. CoRR abs/1208.5016 (2012) - 2011
- [j7]Erik Pernod, Maxime Sermesant, Ender Konukoglu, Jatin Relan, Herve Delingette, Nicholas Ayache:
A multi-front eikonal model of cardiac electrophysiology for interactive simulation of radio-frequency ablation. Comput. Graph. 35(2): 431-440 (2011) - [j6]Ezequiel Geremia, Olivier Clatz, Bjoern H. Menze, Ender Konukoglu, Antonio Criminisi, Nicholas Ayache:
Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images. NeuroImage 57(2): 378-390 (2011) - [c12]Juan Eugenio Iglesias, Ender Konukoglu, Albert Montillo, Zhuowen Tu, Antonio Criminisi:
Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning. IPMI 2011: 25-36 - [c11]Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-André Weber, Nicholas Ayache, Polina Golland:
A Generative Approach for Image-Based Modeling of Tumor Growth. IPMI 2011: 735-747 - [c10]Ender Konukoglu, Antonio Criminisi, Sayan D. Pathak, Duncan P. Robertson, Steve White, David R. Haynor, Khan M. Siddiqui:
Robust linear registration of CT images using random regression forests. Medical Imaging: Image Processing 2011: 79621X - 2010
- [j5]Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondiau, Hervé Delingette, Nicholas Ayache:
Extrapolating glioma invasion margin in brain magnetic resonance images: Suggesting new irradiation margins. Medical Image Anal. 14(2): 111-125 (2010) - [j4]Ender Konukoglu, Olivier Clatz, Bjoern H. Menze, Bram Stieltjes, Marc-André Weber, Emmanuel Mandonnet, Herve Delingette, Nicholas Ayache:
Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations. IEEE Trans. Medical Imaging 29(1): 77-95 (2010) - [c9]Antonio Criminisi, Jamie Shotton, Duncan P. Robertson, Ender Konukoglu:
Regression Forests for Efficient Anatomy Detection and Localization in CT Studies. MCV 2010: 106-117 - [c8]Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, Ender Konukoglu, Antonio Criminisi, Nicholas Ayache:
Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images. MICCAI (1) 2010: 111-118
2000 – 2009
- 2009
- [b1]Ender Konukoglu:
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). University of Nice Sophia Antipolis, France, 2009 - 2008
- [c7]Ender Konukoglu, William M. Wells III, Sébastien Novellas, Nicholas Ayache, Ron Kikinis, Peter M. Black, Kilian M. Pohl:
Monitoring slowly evolving tumors. ISBI 2008: 812-815 - 2007
- [j3]Ender Konukoglu, Burak Acar:
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