Quantification of 1H-MRS Signals Based on Sparse Metabolite Profiles in the Time-Frequency Domain   Abstract   MRS is an analytical

Semi-Quantitative Dynamic Contrast Enhanced MRI for Accurate Classification of Complex Adnexal Masses   Abstract   Objective: To identify the best

Quantification of Human Cortical Bone Bound and Free Water in Vivo with Ultrashort Echo Time MR Imaging: A Model-based Approach

Single STE-MR Acquisition in MR-based Attenuation Correction of Brain PET Imaging Employing a Fully Automated and Reproducible Level-set Segmentation Approach

Accurate classification of brain gliomas by discriminate dictionary learning based on projective dictionary pair learning of proton magnetic resonance spectra

Findings of DTI-p maps in comparison with T2/T2-FLAIR to assess postoperative hyper-signal abnormal regions in patients with glioblastoma   Abstract

Malignancy probability map as a novel imaging biomarker to predict malignancy distribution: employing MRS in GBM patients   Abstract  

Characterization of Active and Infiltrative Tumorous Subregions From Normal Tissue in Brain Gliomas Using Multiparametric MRI   Abstract   Objective:

A One-Step Biomarker Quantification Methodology for DCE-MRI of Adnexal Masses: Capturing Kinetic Pattern from Early to Late Enhancement   Abstract

Spatiotemporal features of DCE-MRI for breast cancer diagnosis   Abstract   Objective: Breast cancer is a major cause of mortality

Heterogeneity analysis of difusion‑weighted MRI for prediction and assessment of microstructural changes early after one cycle of induction chemotherapy in nasopharyngeal cancer patients   Abstract   Objective:

ADC-Derived Spatial Features Can Accurately Classify Adnexal Lesions   Abstract   Background: The role of quantitative apparent diffusion coefficient (ADC) maps