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Synthetic data shows the potential of unsupervised and supervised learning for incorporating spatial information in IVIM fitting

Deep-learning-based transformation of magnitude images to synthetic raw data for deep-learning-based image reconstruction

Deep-learning-based transformation of magnitude images to synthetic raw data for deep-learning-based image reconstruction

Deep Learning Based Automated Multi-Organ Segmentation in Lymphoma Patients using Whole Body Multiparametric MRI Images

Automated Segmentation of Metastatic Lymph Nodes in FDG PET/MRI for Lymphoma Cancer Patients Using Multi-Scale Swin Transformers

Biparametric MRI classification model for prostate cancer detection using a combination of prediction maps

Reducing femoral flow artefacts in radial MR Fingerprinting: A comparison of two methods applied to prostate imaging

Impact of Label-Set on the Performance of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR Images

Estimating uncertainty in diffusion MRI models using generative deep learning

Improving Prostate Cancer Detection Using Bi-parametric MRI with Conditional Generative Adversarial Networks