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Biomedical Engineering Letters
|
September 8, 2025
From large language models to multimodal AI: a scoping review on the potential of generative AI in medicine
Lukas Buess, Matthias Keicher, Nassir Navab, et al.
European Radiology Experimental
|
February 7, 2024
Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images
Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather, et al.
Scientific Reports
|
December 19, 2023
Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning
Soroosh Tayebi Arasteh, Christiane Kuhl, Marwin-Jonathan Saehn, et al.
Scientific Reports
|
November 22, 2023
The effect of speech pathology on automatic speaker verification: a large-scale study
Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster, et al.
NPJ Digital Medicine
|
January 4, 2026
Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications
Marziyeh Mohammadi, Mohsen Vejdanihemmat, Mahshad Lotfinia, et al.
Nature Communications
|
February 21, 2024
Large language models streamline automated machine learning for clinical studies
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, et al.
Radiology
|
November 12, 2024
The Treasure Trove Hidden in Plain Sight: The Utility of GPT-4 in Chest Radiograph Evaluation
Soroosh Tayebi Arasteh, Robert Siepmann, Marc Huppertz, et al.
Communications Medicine
|
March 15, 2024
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, et al.
Scientific Reports
|
April 13, 2023
Collaborative training of medical artificial intelligence models with non-uniform labels
Soroosh Tayebi Arasteh, Peter Isfort, Marwin Saehn, et al.
European Radiology
|
August 1, 2024
Accelerating breast MRI acquisition with generative AI models
Augustine Okolie, Timm Dirrichs, Luisa Charlotte Huck, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 24) with videos related to
Sort By:
Page
of 3
Biomedical Engineering Letters
|
September 8, 2025
From large language models to multimodal AI: a scoping review on the potential of generative AI in medicine
Lukas Buess, Matthias Keicher, Nassir Navab, et al.
European Radiology Experimental
|
February 7, 2024
Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images
Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather, et al.
Scientific Reports
|
December 19, 2023
Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning
Soroosh Tayebi Arasteh, Christiane Kuhl, Marwin-Jonathan Saehn, et al.
Scientific Reports
|
November 22, 2023
The effect of speech pathology on automatic speaker verification: a large-scale study
Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster, et al.
NPJ Digital Medicine
|
January 4, 2026
Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications
Marziyeh Mohammadi, Mohsen Vejdanihemmat, Mahshad Lotfinia, et al.
Nature Communications
|
February 21, 2024
Large language models streamline automated machine learning for clinical studies
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, et al.
Radiology
|
November 12, 2024
The Treasure Trove Hidden in Plain Sight: The Utility of GPT-4 in Chest Radiograph Evaluation
Soroosh Tayebi Arasteh, Robert Siepmann, Marc Huppertz, et al.
Communications Medicine
|
March 15, 2024
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, et al.
Scientific Reports
|
April 13, 2023
Collaborative training of medical artificial intelligence models with non-uniform labels
Soroosh Tayebi Arasteh, Peter Isfort, Marwin Saehn, et al.
European Radiology
|
August 1, 2024
Accelerating breast MRI acquisition with generative AI models
Augustine Okolie, Timm Dirrichs, Luisa Charlotte Huck, et al.
Page
of 3