| Differentially Private Federated Learning: A Client Level Perspective RC Geyer, T Klein, M Nabi Conference on Advances in Neural Information Processing Systems (NIPS 2017 …, 2017 | 313 | 2017 |
| DeepNAT: Deep convolutional neural network for segmenting neuroanatomy C Wachinger, M Reuter, T Klein NeuroImage 170, 434-445, 2018 | 227 | 2018 |
| Ultrasound confidence maps using random walks A Karamalis, W Wein, T Klein, N Navab Medical image analysis 16 (6), 1101-1112, 2012 | 102 | 2012 |
| Learning to remember: A synaptic plasticity driven framework for continual learning O Ostapenko, M Puscas, T Klein, P Jahnichen, M Nabi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 47 | 2019 |
| Gaussian process uncertainty in age estimation as a measure of brain abnormality BG Becker, T Klein, C Wachinger, ... NeuroImage 175, 246-258, 2018 | 29 | 2018 |
| Midbrain segmentation in transcranial 3D ultrasound for Parkinson diagnosis SA Ahmadi, M Baust, A Karamalis, A Plate, K Boetzel, T Klein, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2011 | 29 | 2011 |
| Fiducial-free registration procedure for navigated bronchoscopy T Klein, J Traub, H Hautmann, A Ahmadian, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2007 | 29 | 2007 |
| Three-dimensional sonographic examination of the midbrain for computer-aided diagnosis of movement disorders A Plate, SA Ahmadi, O Pauly, T Klein, N Navab, K Bötzel Ultrasound in medicine & biology 38 (12), 2041-2050, 2012 | 28 | 2012 |
| The 2D analytic signal for envelope detection and feature extraction on ultrasound images C Wachinger, T Klein, N Navab Medical image analysis 16 (6), 1073-1084, 2012 | 26 | 2012 |
| Locally adaptive nakagami-based ultrasound similarity measures C Wachinger, T Klein, N Navab Ultrasonics 52 (4), 547-554, 2012 | 19 | 2012 |
| Attention is (not) all you need for commonsense reasoning T Klein, M Nabi Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 15 | 2019 |
| Learning to answer by learning to ask: Getting the best of gpt-2 and bert worlds T Klein, M Nabi arXiv preprint arXiv:1911.02365, 2019 | 14 | 2019 |
| Discriminative Hallucination for Multi-Modal Few-Shot Learning F Pahde, M Nabi, T Klein, P Jahnichen 2018 25th IEEE International Conference on Image Processing (ICIP), 156-160, 2018 | 12 | 2018 |
| The 2D analytic signal on RF and B-mode ultrasound images C Wachinger, T Klein, N Navab Biennial International Conference on Information Processing in Medical …, 2011 | 12 | 2011 |
| Advanced planning and intra-operative validation for robot-assisted keyhole neurosurgery In ROBOCAST SA Ahmadi, T Klein, N Navab, R Roth, RR Shamir, L Joskowicz, ... 2009 International Conference on Advanced Robotics, 1-7, 2009 | 10 | 2009 |
| Modeling of multi-view 3D freehand radio frequency ultrasound T Klein, M Hansson, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2012 | 9 | 2012 |
| Low-shot learning from imaginary 3d model F Pahde, M Puscas, J Wolff, T Klein, N Sebe, M Nabi 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 978-985, 2019 | 8 | 2019 |
| Self-paced adversarial training for multimodal few-shot learning F Pahde, O Ostapenko, PJ Hnichen, T Klein, M Nabi 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 218-226, 2019 | 8 | 2019 |
| Weakly supervised one shot segmentation H Raza, M Ravanbakhsh, T Klein, M Nabi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 8 | 2019 |
| Budget-aware adapters for multi-domain learning R Berriel, S Lathuillere, M Nabi, T Klein, T Oliveira-Santos, N Sebe, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 382-391, 2019 | 8 | 2019 |
Moin NabiSenior Research Scientist at SAPAdresse e-mail validée de uw.edu
