Tassilo Klein
Tassilo Klein
Principal Scientist @ SAP AI CTO Office
Verified email at - Homepage
Cited by
Cited by
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
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy
C Wachinger, M Reuter, T Klein
NeuroImage 170, 434-445, 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
Ultrasound confidence maps using random walks
A Karamalis, W Wein, T Klein, N Navab
Medical image analysis 16 (6), 1101-1112, 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
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
Gaussian process uncertainty in age estimation as a measure of brain abnormality
BG Becker, T Klein, C Wachinger, ...
NeuroImage 175, 246-258, 2018
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
Contrastive self-supervised learning for commonsense reasoning
T Klein, M Nabi
arXiv preprint arXiv:2005.00669, 2020
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
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
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
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
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
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
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
Differentially private federated learning: A client level perspective. arXiv 2017
RC Geyer, T Klein, M Nabi
arXiv preprint arXiv:1712.07557, 0
Cross-modal hallucination for few-shot fine-grained recognition
F Pahde, P Jähnichen, T Klein, M Nabi
arXiv preprint arXiv:1806.05147, 2018
Locally adaptive nakagami-based ultrasound similarity measures
C Wachinger, T Klein, N Navab
Ultrasonics 52 (4), 547-554, 2012
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
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