Comparison of Optimized Soft-Tissue Suppression Schemes for Creating Short-T2 Contrast with Ultra-Short Echo Time MRI Abstract Ultra-short echo
Generation of Attenuation Map for MR-Based Attenuation Correction of PET Data in the Head Area Employing 3D Short Echo-Time MR
The Effects of Voxel Localization and Time of Echo on the Diagnostic Accuracy of Cystic Brain Tumors in 3 Tesla
Compressed Sensing Cardiac MRI Exploiting Spatio-temporal Sparsity Abstract Background: Compressed Sensing (CS) is a theory with potential to
A Novel Segmentation Approach for Implementation of MRAC in Head PET/MRI Employing Short-TE MRI and 2-Point Dixon Method in a
Magnetic Resonance Spectroscopic Findings of Chronic Lesions in Two Subtypes of Multiple Sclerosis: Primary Progressive Versus Relapsing Remitting Abstract
Smoothly clipped absolute deviation (SCAD) regularization for compressed sensing MRI using an augmented Lagrangian scheme Abstract Objective: Compressed
Can an Automated Decision Tree Based on Quantitative DCE-MRI Help to Accurately Classify Complex Adnexal Masses Abstract Ovarian cancer is
Multi-parametric (ADC/PWI/T2-W) Image Fusion Approach for Accurate Semi-Automatic Segmentation of Tumorous Regions in Glioblastoma Multiforme Abstract Object Glioblastoma
A Novel 1H-MRS Quantification Approach Based on Spectral Fitting for Lateralization/Localization of Seizure Foci in Patients with Temporal Lobe Epilepsy
Comparison of Optimized Soft-Tissue Suppression Schemes for Creating Short-T2 Contrast with Ultra-Short Echo Time MRI
Generation of Attenuation Map for MR-Based Attenuation Correction of PET Data in the Head Area
The Effects of Voxel Localization and Time of Echo on the Diagnostic Accuracy of Cystic
Compressed Sensing Cardiac MRI Exploiting Spatio-temporal Sparsity Abstract Background: Compressed Sensing (CS) is
A Novel Segmentation Approach for Implementation of MRAC in Head PET/MRI Employing Short-TE MRI and
Magnetic Resonance Spectroscopic Findings of Chronic Lesions in Two Subtypes of Multiple Sclerosis: Primary Progressive
Smoothly clipped absolute deviation (SCAD) regularization for compressed sensing MRI using an augmented Lagrangian scheme
Can an Automated Decision Tree Based on Quantitative DCE-MRI Help to Accurately Classify Complex Adnexal
Multi-parametric (ADC/PWI/T2-W) Image Fusion Approach for Accurate Semi-Automatic Segmentation of Tumorous Regions in Glioblastoma Multiforme
A Novel 1H-MRS Quantification Approach Based on Spectral Fitting for Lateralization/Localization of Seizure Foci in