Denoising diffusion probabilistic models for 3D medical image generation F Khader, G Müller-Franzes, S Tayebi Arasteh, T Han, C Haarburger, ... Scientific Reports 13 (1), 7303, 2023 | 98* | 2023 |
A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis G Müller-Franzes, JM Niehues, F Khader, ST Arasteh, C Haarburger, ... Scientific Reports 13 (1), 12098, 2023 | 83 | 2023 |
Using machine learning to reduce the need for contrast agents in breast MRI through synthetic images G Müller-Franzes, L Huck, S Tayebi Arasteh, F Khader, T Han, V Schulz, ... Radiology 307 (3), e222211, 2023 | 30 | 2023 |
Multimodal deep learning for integrating chest radiographs and clinical parameters: a case for transformers F Khader, G Müller-Franzes, T Wang, T Han, S Tayebi Arasteh, ... Radiology 309 (1), e230806, 2023 | 20* | 2023 |
Encrypted federated learning for secure decentralized collaboration in cancer image analysis D Truhn*, S Tayebi Arasteh*, OL Saldanha, G Müller-Franzes, F Khader, ... Medical Image Analysis 92, 103059, 2024 | 19* | 2024 |
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging S Tayebi Arasteh, A Ziller, C Kuhl, M Makowski, S Nebelung, R Braren, ... Communications Medicine 4 (1), 46, 2024 | 15* | 2024 |
How will your tweet be received? predicting the sentiment polarity of tweet replies S Tayebi Arasteh, M Monajem, V Christlein, P Heinrich, A Nicolaou, ... 2021 IEEE 15th International Conference on Semantic Computing (ICSC), 370-373, 2021 | 14* | 2021 |
Large language models streamline automated machine learning for clinical studies S Tayebi Arasteh, T Han, M Lotfinia, C Kuhl, JN Kather, D Truhn, ... Nature Communications 15 (1), 1603, 2024 | 12 | 2024 |
Collaborative training of medical artificial intelligence models with non-uniform labels S Tayebi Arasteh, P Isfort, M Saehn, G Mueller-Franzes, F Khader, ... Scientific Reports 13 (1), 6046, 2023 | 12 | 2023 |
Federated Learning for Secure Development of AI Models for Parkinson’s Disease Detection Using Speech from Different Languages S Tayebi Arasteh, CD Rios-Urrego, E Noeth, A Maier, SH Yang, J Rusz, ... Proc. INTERSPEECH 2023, Dublin, Ireland, 5003--5007, 2023 | 11* | 2023 |
The effect of speech pathology on automatic speaker verification: a large-scale study S Tayebi Arasteh, T Weise, M Schuster, E Noeth, A Maier, SH Yang Scientific Reports 13 (1), 20476, 2023 | 10* | 2023 |
Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs S Tayebi Arasteh, M Lotfinia, T Nolte, MJ Sähn, P Isfort, C Kuhl, ... Radiology: Artificial Intelligence 6 (1), e230212, 2024 | 8* | 2024 |
An Empirical Study on Text-Independent Speaker Verification based on the GE2E Method S Tayebi Arasteh arXiv preprint arXiv:2011.04896, 2020 | 8* | 2020 |
Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluation G Müller-Franzes, F Müller-Franzes, L Huck, V Raaff, E Kemmer, ... Scientific Reports 13 (1), 14207, 2023 | 7 | 2023 |
Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data F Khader, JN Kather, G Müller-Franzes, T Wang, T Han, S Tayebi Arasteh, ... Scientific Reports 13 (1), 10666, 2023 | 7 | 2023 |
Conversion between cubic Bezier curves and Catmull–Rom splines S Tayebi Arasteh, A Kalisz SN Computer Science 2, 1-9, 2021 | 7* | 2021 |
Automatic evaluation of chest radiographs–the data source matters, but how much exactly? ST Arasteh, P Isfort, C Kuhl, S Nebelung, D Truhn RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2023 | 6 | 2023 |
Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images S Tayebi Arasteh, L Misera, JN Kather, D Truhn, S Nebelung European Radiology Experimental 8 (1), 10, 2024 | 2* | 2024 |
Automated segmentation of 3D cine cardiovascular magnetic resonance imaging S Tayebi Arasteh, J Romanowicz, DF Pace, P Golland, AJ Powell, ... Frontiers in Cardiovascular Medicine 10, 1167500, 2023 | 2 | 2023 |
Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning S Tayebi Arasteh, C Kuhl, MJ Saehn, P Isfort, D Truhn, S Nebelung Scientific Reports 13 (1), 22576, 2023 | 1* | 2023 |