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RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis

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RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis

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Automated assessment of paramagnetic rim lesions in multiple sclerosis patients with 3T and 7T MP2RAGE

Learning Lipschitz-Controlled Activation Functions in Neural Networks for Plug-and-Play Image Reconstruction Methods

Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation

Quantitative Microstructural Imaging for Clinical Use

Active Subdivision Surfaces for the Semiautomatic Segmentation of Biomedical Volumes

Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE

CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis

Fat navigators based retrospective motion correction strategies for brain magnetic resonance imaging

Model-informed machine learning for multi-component T2 relaxometry

Development of novel experimental and computational methods for three-dimensional coherent and super-resolution microscopy