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GAN-based analysis for investigation of disease specific image pattern in SWI data of patients suffering from multiple sclerosis

Improved Automated Hippocampus Segmentation using Deep Neural Networks

Improved dynamic distortion correction for fMRI using single-echo EPI, a fast sensitivity scan and readout-reversed first image (REFILL)

Increasing Feature Sparsity in Alzheimer's Disease Classification with Relevance-Guided Deep Learning

NeXtQSM - A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with synthetic data

QSMxT - A cross-platform, flexible, lightweight, and scalable processing pipeline for quantitative susceptibility mapping

Relevance analysis of identifying multiple sclerosis patients based on diffusion imaging data using CNN