| 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 | 1462 | 2017 |
| DeepNAT: Deep convolutional neural network for segmenting neuroanatomy C Wachinger, M Reuter, T Klein NeuroImage 170, 434-445, 2018 | 390 | 2018 |
| 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 | 304 | 2019 |
| Ultrasound confidence maps using random walks A Karamalis, W Wein, T Klein, N Navab Medical image analysis 16 (6), 1101-1112, 2012 | 167 | 2012 |
| Multimodal self-supervised learning for medical image analysis A Taleb, C Lippert, T Klein, M Nabi International conference on information processing in medical imaging, 661-673, 2021 | 127 | 2021 |
| Multimodal prototypical networks for few-shot learning F Pahde, M Puscas, T Klein, M Nabi Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 86 | 2021 |
| 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 | 81 | 2019 |
| Contrastive self-supervised learning for commonsense reasoning T Klein, M Nabi arXiv preprint arXiv:2005.00669, 2020 | 63 | 2020 |
| Gaussian process uncertainty in age estimation as a measure of brain abnormality BG Becker, T Klein, C Wachinger, ... NeuroImage 175, 246-258, 2018 | 61 | 2018 |
| 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 | 42 | 2019 |
| 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 | 41 | 2019 |
| Midbrain segmentation in transcranial 3D ultrasound for Parkinson diagnosis SA Ahmadi, M Baust, A Karamalis, A Plate, K Boetzel, T Klein, N Navab Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 33 | 2011 |
| Differentially private federated learning: A client level perspective. arXiv 2017 RC Geyer, T Klein, M Nabi arXiv preprint arXiv:1712.07557, 0 | 33 | |
| 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 | 32 | 2007 |
| 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 | 31 | 2012 |
| 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 | 30 | 2012 |
| Analyzing the co-localization of substantia nigra hyper-echogenicities and iron accumulation in Parkinson's disease: a multi-modal atlas study with transcranial ultrasound and MRI SA Ahmadi, K Bötzel, J Levin, J Maiostre, T Klein, W Wein, V Rozanski, ... NeuroImage: Clinical 26, 102185, 2020 | 26 | 2020 |
| Cross-modal hallucination for few-shot fine-grained recognition F Pahde, P Jähnichen, T Klein, M Nabi arXiv preprint arXiv:1806.05147, 2018 | 26 | 2018 |
| SCD: Self-Contrastive Decorrelation for Sentence Embeddings T Klein, M Nabi arXiv preprint arXiv:2203.07847, 2022 | 22 | 2022 |
| Weakly supervised one shot segmentation H Raza, M Ravanbakhsh, T Klein, M Nabi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 21 | 2019 |
Moin NabiResearch Scientist at Apple在 uw.edu 的电子邮件经过验证
