Aiham Taleb 个人学术档案 - 学术资源搜索

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Christoph LippertProfessor, Hasso Plattner Institute, Universität Potsdam在 hpi.de 的电子邮件经过验证
Benjamin BergnerPhD candidate, Hasso Plattner Institute在 hpi.de 的电子邮件经过验证
Noel DanzPhD Student, Hasso-Plattner-Institute (University of Potsdam)在 hpi.de 的电子邮件经过验证
Moin NabiResearch Scientist at Apple在 uw.edu 的电子邮件经过验证
Tassilo KleinPrincipal Scientist @ SAP AI Research在 sap.com 的电子邮件经过验证
Thomas GärtnerPhD Candidate in Machine Learning, Hasso Plattner Institute, University Potsdam在 hpi.de 的电子邮件经过验证
Remo MontiHasso Plattner Institute, Berlin Institute for Medical Systems Biology在 mdc-berlin.de 的电子邮件经过验证
Matthias KirchlerHasso Plattner Institute, TU Kaiserslautern在 hpi.de 的电子邮件经过验证
Joachim KroisHead of Data Science, Oral Diagnostics & Digital Health & Health Services Research, Charité - Universitätsmedzin Berlin在 charite.de 的电子邮件经过验证
Marina Marie-Claire Höhne (née Vido...Full Professor at Uni Potsdam, Head of the Data Science department at ATB-Potsdam在 uni-potsdam.de 的电子邮件经过验证
Winfried RipkenTU Berlin在 tu-berlin.de 的电子邮件经过验证
Jana FehrBerlin Institute of Health at Charité在 bih-charite.de 的电子邮件经过验证

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Aiham Taleb

Machine Learning & Digital Health, Hasso Plattner Institute, University of Potsdam

在 hpi.de 的电子邮件经过验证

Machine Learning Unsupervised learning Self-supervised learning Computer Vision Natural Language Processing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	227	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	16	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

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