Soroosh Tayebi Arasteh

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 12

Top Topics

Convolutional Neural Network

Emergency Medical

Diffusion Weighted

Top Venues

European radiology experimental

Nature communications

Communications medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Large language models streamline automated machine learning for clinical studies. Nature communications 15 (1) (2024)
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus R Makowski, Sven Nebelung, Rickmer F Braren, Daniel Ruckert, Daniel Truhn, Georgios A Kaissis
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging. Communications medicine 4 (1) (2024)
Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images. European radiology experimental 8 (1) (2024)
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus R Makowski, Sven Nebelung, Rickmer F Braren, Daniel Ruckert, Daniel Truhn, Georgios A Kaissis
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging. Communications medicine 4 (1) (2024)
Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images. European radiology experimental 8 (1) (2024)
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Large language models streamline automated machine learning for clinical studies. Nature communications 15 (1) (2024)
Gustav Müller-Franzes, Firas Khader, Soroosh Tayebi Arasteh, Luisa Charlotte Huck, Maike Bode, Tianyu Han, Teresa Lemainque, Jakob Nikolas Kather, Sven Nebelung, Christiane K Kuhl, Daniel Truhn
Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization. Radiology 312 (1) (2024)
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Large language models streamline automated machine learning for clinical studies. Nature communications 15 (1) (2024)
Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images. European radiology experimental 8 (1) (2024)
Gustav Müller-Franzes, Firas Khader, Soroosh Tayebi Arasteh, Luisa Charlotte Huck, Maike Bode, Tianyu Han, Teresa Lemainque, Jakob Nikolas Kather, Sven Nebelung, Christiane K Kuhl, Daniel Truhn
Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization. Radiology 312 (1) (2024)
Gustav Müller-Franzes, Luisa Charlotte Huck, Soroosh Tayebi Arasteh, Firas Khader, Tianyu Han, Volkmar Schulz, Ebba Dethlefsen, Jakob Nikolas Kather, Sven Nebelung, Teresa Lemainque, Christiane K Kuhl, Daniel Truhn
Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images. Radiology (2023)
Firas Khader, Gustav Müller-Franzes, Tianci Wang, Tianyu Han, Soroosh Tayebi Arasteh, Christoph Haarburger, Johannes Stegmaier, Keno Kyrill Bressem, Christiane K Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers. Radiology 309 (1) (2023)