| 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 | 571 | 2020 |
| Test-time adaptable neural networks for robust medical image segmentation N Karani, E Erdil, K Chaitanya, E Konukoglu Medical Image Analysis 68, 101907, 2021 | 183 | 2021 |
| 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 | 180 | 2019 |
| A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols N Karani, K Chaitanya, C Baumgartner, E Konukoglu Medical Image Computing and Computer Assisted Intervention - {MICCAI} 2018 …, 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 | 127 | 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 | 126 | 2021 |
| Modelling the distribution of 3D brain MRI using a 2D slice VAE A Volokitin, E Erdil, N Karani, KC Tezcan, X Chen, L Van Gool, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 39 | 2020 |
| Sampling possible reconstructions of undersampled acquisitions in MR imaging with a deep learned prior KC Tezcan, N Karani, CF Baumgartner, E Konukoglu IEEE Transactions on Medical Imaging 41 (7), 1885-1896, 2022 | 10 | 2022 |
| Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing N Karani, C Tanner, S Kozerke, E Konukoglu MICCAI 2017 2 (LNCS 10434), 359–367, 2017 | 10 | 2017 |
| An image interpolation approach for acquisition time reduction in navigator-based 4D MRI N Karani, L Zhang, C Tanner, E Konukoglu Medical image analysis 54, 20-29, 2019 | 8 | 2019 |
| Interactive segmentation in MRI for orthopedic surgery planning: bone tissue F Ozdemir, N Karani, P Fürnstahl, O Goksel International journal of computer assisted radiology and surgery 12, 1031-1039, 2017 | 8 | 2017 |
| Temporal interpolation via motion field prediction L Zhang, N Karani, C Tanner, E Konukoglu arXiv preprint arXiv:1804.04440, 2018 | 7 | 2018 |
| 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 |
| Reducing navigators in free-breathing abdominal MRI via temporal interpolation using convolutional neural networks N Karani, C Tanner, S Kozerke, E Konukoglu IEEE Transactions on Medical Imaging 37 (10), 2333-2343, 2018 | 6 | 2018 |
| Contrastive learning of global and local features for medical image segmentation with limited annotations. arXiv 2020 K Chaitanya, E Erdil, N Karani, E Konukoglu arXiv preprint arXiv:2006.10511, 0 | 6 | |
| Boundary-weighted logit consistency improves calibration of segmentation networks N Karani, N Dey, P Golland International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| 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 |
| Sampling possible reconstructions of undersampled acquisitions in MR imaging KC Tezcan, N Karani, CF Baumgartner, E Konukoglu arXiv preprint arXiv:2010.00042, 2020 | 3 | 2020 |
| Feature Selection for Malapposition Detection in Intravascular Ultrasound-A Comparative Study S Kashyap, N Karani, A Shang, N D’Souza, N Dey, L Jain, R Wang, ... International Workshop on Applications of Medical AI, 165-175, 2023 | 2 | 2023 |
| Equivariant and Denoising CNNs to Decouple Intensity and Spatial Features for Motion Tracking in Fetal Brain MRI B Billot, D Moyer, N Karani, M Hoffmann, EA Turk, E Grant, P Golland Medical Imaging with Deep Learning, short paper track, 2023 | 2 | 2023 |
Ender KonukogluETH ZurichVerified email at vision.ee.ethz.ch
