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
Single STE-MR Acquisition in MR-based Attenuation Correction of Brain PET Imaging Employing a Fully Automated
Accurate classification of brain gliomas by discriminate dictionary learning based on projective dictionary pair learning
Findings of DTI-p maps in comparison with T2/T2-FLAIR to assess postoperative hyper-signal abnormal regions in
Malignancy probability map as a novel imaging biomarker to predict malignancy distribution: employing MRS in
Characterization of Active and Infiltrative Tumorous Subregions From Normal Tissue in Brain Gliomas Using Multiparametric
A One-Step Biomarker Quantification Methodology for DCE-MRI of Adnexal Masses: Capturing Kinetic Pattern from Early
Spatiotemporal features of DCE-MRI for breast cancer diagnosis Abstract Objective: Breast cancer is
Heterogeneity analysis of difusion‑weighted MRI for prediction and assessment of microstructural changes early after one cycle of induction chemotherapy in nasopharyngeal cancer
ADC-Derived Spatial Features Can Accurately Classify Adnexal Lesions Abstract Background: The role of quantitative