| 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, 2020 | 587 | 2020 |
| 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 |
| Test-time adaptable neural networks for robust medical image segmentation N Karani, E Erdil, K Chaitanya, E Konukoglu Medical Image Analysis 68, 101907, 2021 | 193 | 2021 |
| Semi-supervised and Task-Driven Data Augmentation K Chaitanya, N Karani, CF Baumgartner, A Becker, O Donati, ... International Conference on Information Processing in Medical Imaging, 29-41, 2019 | 185 | 2019 |
| A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols N Karani, K Chaitanya, C Baumgartner, E Konukoglu arXiv preprint arXiv:1805.10170, 2018 | 146 | 2018 |
| Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation K Chaitanya, E Erdil, N Karani, E Konukoglu Medical Image Analysis 87, 102792, 2023 | 141 | 2023 |
| Semi-supervised task-driven data augmentation for medical image segmentation K Chaitanya, N Karani, CF Baumgartner, E Erdil, A Becker, O Donati, ... Medical Image Analysis 68, 101934, 2021 | 128 | 2021 |
| Learning to segment medical images with scribble-supervision alone YB Can, K Chaitanya, B Mustafa, LM Koch, E Konukoglu, ... Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 118 | 2018 |
| The validity of RFID badges measuring face-to-face interactions T Elmer, K Chaitanya, P Purwar, C Stadtfeld Behavior research methods 51, 2120-2138, 2019 | 75 | 2019 |
| Variability of manual segmentation of the prostate in axial T2-weighted MRI: A multi-reader study AS Becker, K Chaitanya, K Schawkat, UJ Muehlematter, AM Hötker, ... European journal of radiology 121, 108716, 2019 | 66 | 2019 |
| Contrastive learning of single-cell phenotypic representations for treatment classification A Perakis, A Gorji, S Jain, K Chaitanya, S Rizza, E Konukoglu Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 37 | 2021 |
| Imbalance-aware self-supervised learning for 3d radiomic representations H Li, FF Xue, K Chaitanya, S Luo, I Ezhov, B Wiestler, J Zhang, B Menze Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 32 | 2021 |
| Explicitly Minimizing the Blur Error of Variational Autoencoders G Bredell, K Flouris, K Chaitanya, E Erdil, E Konukoglu In International Conference on Learning Representations, ICLR 2023, 2023 | 24 | 2023 |
| Whole-body composition profiling using a deep learning algorithm: influence of different acquisition parameters on algorithm performance and robustness FA Huber, K Chaitanya, N Gross, SR Chinnareddy, F Gross, E Konukoglu, ... Investigative Radiology 57 (1), 33-43, 2022 | 14 | 2022 |
| Automatic planning of liver tumor thermal ablation using deep reinforcement learning K Chaitanya, C Audigier, LE Balascuta, T Mansi International Conference on Medical Imaging with Deep Learning, 219-230, 2022 | 7 | 2022 |
| Task-agnostic out-of-distribution detection using kernel density estimation E Erdil, K Chaitanya, N Karani, E Konukoglu Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021 | 6 | 2021 |
| Unsupervised out-of-distribution detection using kernel density estimation E Erdil, K Chaitanya, E Konukoglu arXiv preprint arXiv:2006.10712, 2020 | 5 | 2020 |
| A Field of Experts Prior for Adapting Neural Networks at Test Time N Karani, G Brunner, E Erdil, S Fei, K Tezcan, K Chaitanya, E Konukoglu arXiv preprint arXiv:2202.05271, 2022 | 3 | 2022 |
| Accurate Medical Image Segmentation with Limited Annotations K Chaitanya ETH Zurich, 2022 | 1 | 2022 |
| Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos K Chaitanya, PF Damasceno, S Fadnavis, P Mobadersany, C Parmar, ... International Workshop on Machine Learning in Medical Imaging, 201-211, 2024 | | 2024 |
Ender KonukogluETH ZurichVerified email at vision.ee.ethz.ch
