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Adaptive Neural Network for Direct Quantification of Longitudinal Relaxation Rate Change (?R1) in T One by Multiple Read Out (TOMROP) Sequence

Construction of a Model-Based High Resolution Arterial Input Function (AIF) Using a Standard Radiological AIF and the Levenberg-Marquardt Algorithm

Framework for Studying Changes in the Functional Connectivity Network After Stroke Using Resting State FMRI

Modeling of Look-Locker Estimates of the Magnetic Resonance Imaging Estimate of Longitudinal Relaxation Rate in Tissue After Contrast Administration

MR Estimation of Arterial Input Function (AIF) in Dual Gradient Echo Sequences Using an Adaptive Model Trained by Standard Radiological AIF