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 Objective:

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

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

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

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: Purpose To

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