Resources · Publications
The Science behind the Products
Towards Clinical Translation of Intravoxel Incoherent Motion MRI Acquisition and Analysis Consensus Recommendations
Journal of Magnetic Resonance Imaging, 2026, Sigmund et al.
A Comparative Study of IVIM-MRI Fitting Techniques in Glioma Grading
Journal of Magnetic Resonance Imaging, 2026, Kaandorp et al.
ESR Essentials Perfusion MRI practice recommendations by the European Society for Magnetic Resonance in Medicine and Biology
European Radiology, 2026, van Houdt et al.
The Current Status of AI-accelerated MRI Techniques in Clinical Use
Radiology, 2025, Haller et al.
Evaluation of two AI techniques for the detection of new T2-FLAIR lesions in the follow-up of multiple sclerosis patients
Frontiers in Neurology, 2025, Mastilovic et al.
Clinical Interpretation of Intravoxel Incoherent Motion Perfusion Imaging in the Brain
Magnetic Resonance Imaging Clinics of North America, 2024, Federau et al.
Evaluation of the quality and the productivity of neuroradiological reading of multiple sclerosis follow-up MRI scans using an intelligent automation software
Neuroradiology, 2024, Federau et al.
Artificial intelligence tools in clinical neuroradiology essential medico-legal aspects
Neuroradiology, 2023, Hedderich et al.
Correlating volumetric and linear measurements of brain metastases on MRI scans using intelligent automation software a preliminary study
Journal of Neuro-Oncology, 2023, Ozkara et al.
Deep learning intravoxel incoherent motion modeling Exploring the impact of training features and learning strategies
Magnetic Resonance in Medicine, 2023, Kaandorp et al.
Deep Learning for Detecting Brain Metastases on MRI A Systematic Review and Meta-Analysis
Cancers, 2023, Ozkara et al.
The R-AI-DIOLOGY checklist a practical checklist for evaluation of artificial intelligence tools in clinical neuroradiology
Neuroradiology, 2022, Haller et al.
Editorial Machine Learning in Neuroimaging
Frontiers in Neurology, 2021, Federau et al.
Image translation for medical image generation Ischemic stroke lesion segmentation
Biomedical Signal Processing and Control, 2021, Platscher et al.
Multi-Modal Segmentation of 3D Brain Scans Using Neural Networks
Frontiers in Neurology, 2021, Zopes et al.
Realistic generation of diffusion-weighted magnetic resonance brain images with deep generative models
Magnetic Resonance Imaging, 2021, Ungria Hirte et al.
Optimizing Deep Learning Algorithms for Segmentation of Acute Infarcts on Non-Contrast Material-enhanced CT Scans of the Brain Using Simulated Lesions
Radiology Artificial Intelligence, 2021, Christensen et al.
Improved Segmentation and Detection Sensitivity of Diffusion-weighted Stroke Lesions with Synthetically Enhanced Deep Learning
Radiology Artificial Intelligence, 2020, Federau et al.