3D Self-Supervised Methods for Medical Imaging A Taleb, W Loetzsch, N Danz, J Severin, T Gaertner, B Bergner, C Lippert Neural Information Processing Systems (NeurIPS) 33 (2020), 2020 | 228 | 2020 |
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 | 135 | 2021 |
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics A Taleb, M Kirchler, R Monti, C Lippert Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 56 | 2022 |
Self-Supervised Learning Methods for Label-Efficient Dental Caries Classification A Taleb, C Rohrer, B Bergner, G De Leon, J Rodrigues, F Schwendicke, ... Diagnostics 12 (5), 1237, 2022 | 17 | 2022 |
Self-supervised learning for 3d medical image analysis using 3d simclr and monte carlo dropout Y Ali, A Taleb, MMC Höhne, C Lippert arXiv preprint arXiv:2109.14288, 2021 | 8 | 2021 |
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-rays B Bergner, C Rohrer, A Taleb, M Duchrau, G De Leon, JA Rodrigues, ... Medical Imaging with Deep Learning MIDL 2022, 2021 | 2 | 2021 |
Self-supervised deep learning methods for medical image analysis A Taleb Universität Potsdam, 2024 | | 2024 |
Self-Supervised Learning Methods for Label-Efficient Dental Caries Classification. Diagnostics 2022, 12, 1237 A Taleb, C Rohrer, B Bergner, G De Leon, JA Rodrigues, F Schwendicke, ... s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |
Conversational Context for Mobile Notification Management F Schulze Technische Universität München, 2016 | | 2016 |
Appendix for: 3D Self-Supervised Methods for Medical Imaging A Taleb, W Loetzsch, N Danz, J Severin, T Gaertner, B Bergner, C Lippert | | |