A Deep Learning Neural Network for Quantifying Metabolite Concentrations by Multi-echo MRS

Exploring the potential of StyleGAN projection for quantitative maps from diffusion-weighted MR images

Hypergraph learning-based convolutional neural network for classification of brain functional connectome

Improving Across-Dataset Brain Tissue Segmentation Using Transformer

Improving the accessibility of deep learning-based denoising for MRI using transfer learning and self-supervised learning

Motion-robust dynamic abdominal MRI using k-t GRASP and dynamic dual-channel training of super-resolution U-Net (DDoS-UNet)

Prediction of new diffusion MRI data is feasible using robust machine learning algorithms for multi-shell HARDI in a clinical setting

Quantifying Domain Shift for Deep Learning Based Synthetic CT Generation with Uncertainty Predictions

Rapid myelin water fraction mapping through the combination of artificial neural network and under sampled mcDESPOT data

Zero-Shot Physics-Guided Self-Supervised Learning for Subject-Specific MRI Reconstruction