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Deep-learning-based raw data generation for deep-learning-based image reconstruction

Developing a Delta Radiomics Framework for Prostate Cancer Progression Biomarkersin Patients under Active Surveillance: Pilot Study

The impact of learning rate, network size, and training time on unsupervised deep learning for intravoxel incoherent motion (IVIM) model fitting

Incorporating saturation bands into MR Fingerprinting reduces streaking artefacts

A privacy-preserving federated learning infrastructure for prostate segmentation on T2-Weighted MRI

Reducing streak artefacts in radial MR fingerprinting of the prostate through automated channel removal