Diana Rizea-Horvath
Stuttgart, BW 70174, Germany
Last Updated: 09/26/2026
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Found 10 publications
Diffusion Weighted Imaging in Gliomas: A Histogram-Based Approach for Tumor Characterization.
Journal: Cancers
Published: June 21, 2022
Histogram Analysis of Diffusion Weighted Imaging in Low-Grade Gliomas: in vivo Characterization of Tumor Architecture and Corresponding Neuropathology.
Journal: Frontiers in oncology
Published: August 27, 2019
Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study.
Journal: Magnetic resonance imaging
Published: February 16, 2019
Histogram Analysis Parameters Apparent Diffusion Coefficient for Distinguishing High and Low-Grade Meningiomas: A Multicenter Study.
Journal: Translational oncology
Published: April 21, 2018
Histogram Profiling of Postcontrast T1-Weighted MRI Gives Valuable Insights into Tumor Biology and Enables Prediction of Growth Kinetics and Prognosis in Meningiomas.
Journal: Translational oncology
Published: March 24, 2018
Diffusion Profiling via a Histogram Approach Distinguishes Low-grade from High-grade Meningiomas, Can Reflect the Respective Proliferative Potential and Progesterone Receptor Status.
Journal: Molecular imaging and biology
Published: February 03, 2018
The value of whole lesion ADC histogram profiling to differentiate between morphologically indistinguishable ring enhancing lesions-comparison of glioblastomas and brain abscesses.
Journal: Oncotarget
Published: December 26, 2017
Histogram Analysis of Diffusion Weighted Imaging at 3T is Useful for Prediction of Lymphatic Metastatic Spread, Proliferative Activity, and Cellularity in Thyroid Cancer.
Journal: International journal of molecular sciences
Published: March 09, 2017
Showing 1-10 of 10
Last Updated: 09/26/2026