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Radiology|June 6, 2023
An MRI Deep Learning Model Predicts Outcome in Rectal CancerXiaofeng Jiang, Hengyu Zhao, Oliver Lester Saldanha, et al.
Diagnostics (Basel, Switzerland)|May 24, 2024
Two for One-Combined Morphologic and Quantitative Knee Joint MRI Using a Versatile Turbo Spin-Echo PlatformTeresa Lemainque, Nicola Pridöhl, Marc Huppertz, et al.
European Radiology|May 17, 2025
AI in motion: the impact of data augmentation strategies on mitigating MRI motion artifactsSimon D Westfechtel, Kristoffer Kußmann, Cederic Aßmann, et al.
NPJ Digital Medicine|October 24, 2024
Medical large language models are susceptible to targeted misinformation attacksTianyu Han, Sven Nebelung, Firas Khader, et al.
Radiology|October 3, 2023
Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for TransformersFiras Khader, Gustav Müller-Franzes, Tianci Wang, et al.
Radiology|March 21, 2023
Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic ImagesGustav Müller-Franzes, Luisa Huck, Soroosh Tayebi Arasteh, et al.
Scientific Reports|July 26, 2023
A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesisGustav Müller-Franzes, Jan Moritz Niehues, Firas Khader, et al.
Scientific Reports|August 30, 2023
Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluationGustav Müller-Franzes, Fritz Müller-Franzes, Luisa Huck, et al.
Brain Informatics|July 6, 2026
Generalizable and explainable deep learning for brain MRI: a multi-cohort evaluation of 3D architectures for age and sex predictionRadhika Juglan, Marta Ligero, Zunamys I Carrero, et al.
Scientific Reports|July 1, 2023
Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging dataFiras Khader, Jakob Nikolas Kather, Gustav Müller-Franzes, et al.
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