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Comparison of machine learning methods for detection of prostate cancer using bpMRI radiomics features

Deep-learning based brain tumor segmentation using quantitative MRI

Hybrid supervised and self-supervised deep learning for quantitative mapping from weighted images using low-resolution labels

Image enhancement of Quasi-Diffusion Imaging using a fully connected neural network

Isolating cardiac-related pulsatility in blood oxygenation level-dependent MRI with deep learning

Quantitative Radiomic Features of Deep Learning Image Reconstruction in MRI

Solving T2-blurring: Joint Optimization of Flip Angle Design and DenseNet Parameters for Reduced T2 Blurring in TSE Sequences

Spherical-CNN based diffusion MRI parameter estimation is robust to gradient schemes and equivariant to rotation

Using Machine Learning to Identify Metabolite Spectral Patterns that Reflect Outcome after Cardiac Arrest