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2020 – today
- 2023
[j35]Tianfei Zhou
, Liulei Li, Gustav Bredell, Jianwu Li, Jan Unkelbach, Ender Konukoglu:
Volumetric memory network for interactive medical image segmentation. Medical Image Anal. 83: 102599 (2023)- [j34]Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu:
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. Medical Image Anal. 87: 102792 (2023) - [c62]Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu:
Explicitly Minimizing the Blur Error of Variational Autoencoders. ICLR 2023 - [c61]Tianfei Zhou, Ender Konukoglu:
FedFA: Federated Feature Augmentation. ICLR 2023 - [c60]Gary Sarwin, Alessandro Carretta, Victor E. Staartjes, Matteo Zoli, Diego Mazzatenta, Luca Regli, Carlo Serra, Ender Konukoglu:
Live Image-Based Neurosurgical Guidance and Roadmap Generation Using Unsupervised Embedding. IPMI 2023: 107-118 - [c59]Gustav Bredell, Ertunc Erdil, Bruno Weber, Ender Konukoglu:
Wiener Guided DIP for Unsupervised Blind Image Deconvolution. WACV 2023: 3046-3055 - [i61]Tianfei Zhou, Ender Konukoglu:
FedFA: Federated Feature Augmentation. CoRR abs/2301.12995 (2023) - [i60]Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu:
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation. CoRR abs/2302.09886 (2023) - [i59]Gary Sarwin, Alessandro Carretta, Victor E. Staartjes, Matteo Zoli, Diego Mazzatenta, Luca Regli, Carlo Serra, Ender Konukoglu:
Live image-based neurosurgical guidance and roadmap generation using unsupervised embedding. CoRR abs/2303.18019 (2023) - [i58]Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu:
Explicitly Minimizing the Blur Error of Variational Autoencoders. CoRR abs/2304.05939 (2023) - [i57]Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu:
Quantification of Predictive Uncertainty via Inference-Time Sampling. CoRR abs/2308.01731 (2023) - [i56]Sara Sangalli, Ertunc Erdil, Ender Konukoglu:
Expert load matters: operating networks at high accuracy and low manual effort. CoRR abs/2308.05035 (2023) - 2022
- [j33]Agustina La Greca Saint-Esteven, Marta Bogowicz, Ender Konukoglu, Oliver Riesterer, Panagiotis Balermpas, Matthias Guckenberger, Stephanie Tanadini-Lang, Janita E. van Timmeren:
A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer. Comput. Biol. Medicine 142: 105215 (2022) - [j32]Kerem Can Tezcan, Neerav Karani, Christian F. Baumgartner, Ender Konukoglu:
Sampling Possible Reconstructions of Undersampled Acquisitions in MR Imaging With a Deep Learned Prior. IEEE Trans. Medical Imaging 41(7): 1885-1896 (2022) - [c58]Metin Ersin Arican, Ozgur Kara, Gustav Bredell, Ender Konukoglu:
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior. CVPR 2022: 1950-1958 - [c57]Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool:
Rethinking Semantic Segmentation: A Prototype View. CVPR 2022: 2572-2583 - [c56]Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool:
Zero Pixel Directional Boundary by Vector Transform. ICLR 2022 - [c55]Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu:
Quantification of Predictive Uncertainty via Inference-Time Sampling. UNSURE@MICCAI 2022: 14-25 - [e4]Ender Konukoglu, Bjoern H. Menze, Archana Venkataraman, Christian F. Baumgartner, Qi Dou, Shadi Albarqouni:
International Conference on Medical Imaging with Deep Learning, MIDL 2022, 6-8 July 2022, Zurich, Switzerland. Proceedings of Machine Learning Research 172, PMLR 2022 [contents] - [i55]Neerav Karani, Georg Brunner, Ertunc Erdil, Simin Fei, Kerem Can Tezcan, Krishna Chaitanya, Ender Konukoglu:
A Field of Experts Prior for Adapting Neural Networks at Test Time. CoRR abs/2202.05271 (2022) - [i54]Edoardo Mello Rella, Ajad Chhatkuli, Yun Liu, Ender Konukoglu, Luc Van Gool:
Zero Pixel Directional Boundary by Vector Transform. CoRR abs/2203.08795 (2022) - [i53]Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool:
Rethinking Semantic Segmentation: A Prototype View. CoRR abs/2203.15102 (2022) - [i52]Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu, Luc Van Gool:
Neural Vector Fields for Surface Representation and Inference. CoRR abs/2204.06552 (2022) - [i51]Jakob Geusen, Gustav Bredell, Tianfei Zhou, Ender Konukoglu:
Unsupervised Superpixel Generation using Edge-Sparse Embedding. CoRR abs/2211.15474 (2022) - 2021
- [j31]Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu:
Test-time adaptable neural networks for robust medical image segmentation. Medical Image Anal. 68: 101907 (2021) - [j30]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) - [j29]Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu:
Normative ascent with local gaussians for unsupervised lesion detection. Medical Image Anal. 74: 102208 (2021) - [c54]Maria Gabrani, Ender Konukoglu, David Beymer, Gustavo Carneiro, Jannis Born, Michal Guindy, Michal Rosen-Zvi:
Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 133-140 - [c53]Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool:
Exploring Cross-Image Pixel Contrast for Semantic Segmentation. ICCV 2021: 7283-7293 - [c52]Ertunc Erdil, Krishna Chaitanya, Neerav Karani, Ender Konukoglu:
Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation. UNSURE/PIPPI@MICCAI 2021: 91-101 - [c51]Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Ender Konukoglu:
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation. MICCAI (2) 2021: 560-570 - [c50]Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu:
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. MLMI@MICCAI 2021: 565-575 - [c49]Federico Turella, Gustav Bredell, Alexander Okupnik, Sebastiano Caprara, Dimitri Graf, Reto Sutter, Ender Konukoglu:
High-Resolution Segmentation of Lumbar Vertebrae from Conventional Thick Slice MRI. MICCAI (1) 2021: 689-698 - [c48]Matthäus Heer, Janis Postels, Xiaoran Chen, Ender Konukoglu, Shadi Albarqouni:
The OOD Blind Spot of Unsupervised Anomaly Detection. MIDL 2021: 286-300 - [c47]Sara Sangalli, Ertunc Erdil, Andreas M. Hötker, Olivio Donati, Ender Konukoglu:
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes. NeurIPS 2021: 25400-25411 - [e3]Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett A. Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach:
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12969, Springer 2021, ISBN 978-3-030-90873-7 [contents] - [i50]Ke Li, Dengxin Dai, Ender Konukoglu, Luc Van Gool:
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets. CoRR abs/2101.07589 (2021) - [i49]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) - [i48]Sara Sangalli, Ertunc Erdil, Andreas M. Hötker, Olivio Donati, Ender Konukoglu:
Constrained Optimization for Training Deep Neural Networks Under Class Imbalance. CoRR abs/2102.12894 (2021) - [i47]Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu:
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. CoRR abs/2103.16670 (2021) - [i46]Kyriakos Flouris, Anna Volokitin, Gustav Bredell, Ender Konukoglu:
Gradient flow encoding with distance optimization adaptive step size. CoRR abs/2105.05031 (2021) - [i45]Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Ender Konukoglu:
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation. CoRR abs/2106.10686 (2021) - [i44]Metin Ersin Arican, Ozgur Kara, Gustav Bredell, Ender Konukoglu:
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior. CoRR abs/2111.15362 (2021) - [i43]Krishna Chaitanya, Ertunc Erdil, Neerav Karani, Ender Konukoglu:
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation. CoRR abs/2112.09645 (2021) - [i42]Gustav Bredell, Ertunc Erdil, Bruno Weber, Ender Konukoglu:
Wiener Guided DIP for Unsupervised Blind Image Deconvolution. CoRR abs/2112.10271 (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]