Anahita Fathi Kazerooni

发表

Characterization of active and infiltrative tumorous subregions from normal tissue in brain gliomas using multiparametric MRI

Alejandro F. Frangi, Alejandro F Frangi, C. Davatzikos, 2018, Journal of magnetic resonance imaging : JMRI.

Differentiation of Benign from Malignant Adnexal Masses by Dynamic Contrast-Enhanced MRI (DCE-MRI): Quantitative and Semi-quantitative analysis at 3-Tesla MRI

A. Fathi Kazerooni, H. Saligheh Rad, M. Shakiba, 2019, Asian Pacific journal of cancer prevention : APJCP.

ADC‐derived spatial features can accurately classify adnexal lesions

A. Fathi Kazerooni, H. Saligheh Rad, M. Gity, 2018, Journal of magnetic resonance imaging : JMRI.

A one‐step biomarker quantification methodology for DCE‐MRI of adnexal masses: Capturing kinetic pattern from early to late enhancement

A. Fathi Kazerooni, H. Saligheh Rad, M. Gity, 2018, Magnetic resonance in medicine.

Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review

S. Bakas, C. Davatzikos, A. Fathi Kazerooni, 2020, Journal of magnetic resonance imaging : JMRI.

Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma

Christos Davatzikos, Spyridon Bakas, Ashutosh Kumar Singh, 2020, JCO clinical cancer informatics.

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

Hamidreza Saligheh Rad, Mohammad Reza Ay, Anahita Fathi Kazerooni, 2017, Molecular Imaging and Biology.

Generation of a Four-Class Attenuation Map for MRI-Based Attenuation Correction of PET Data in the Head Area Using a Novel Combination of STE/Dixon-MRI and FCM Clustering

Hamidreza Saligheh Rad, Mohammad Reza Ay, Amir Homayoun Jafari, 2015, Molecular Imaging and Biology.

Diffusion MRI for Assessment of Bone Quality; A Review of Findings in Healthy Aging and Osteoporosis

Alejandro F. Frangi, Alejandro F Frangi, E. McCloskey, 2019, Journal of magnetic resonance imaging : JMRI.

Machine Learning Using Multiparametric Magnetic Resonance Imaging Radiomic Feature Analysis to Predict Ki-67 in World Health Organization Grade I Meningiomas.

C. Davatzikos, A. Sharan, A. Dicker, 2021, Neurosurgery.

Radio-pathomic approaches in pediatric neuro-oncology: Opportunities and challenges

A. Resnick, A. Vossough, Aria Mahtabfar, 2023, Neuro-oncology advances.

Automated tumor segmentation and brain tissue extraction from multiparametric MRI of pediatric brain tumors: A multi-institutional study

C. Davatzikos, M. Aboian, A. Resnick, 2023, Neuro-Oncology Advances.

Radiomics and radiogenomics in pediatric neuro-oncology: A review

C. Davatzikos, A. Fathi Kazerooni, Hannah Anderson, 2022, Neuro-oncology advances.

Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma

S. Bakas, C. Davatzikos, H. Akbari, 2022, Scientific Reports.

Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial

S. Brüningk, A. Nabavizadeh, Sandra Abi Fadel, 2023, Neuro-oncology advances.

Multi-parametric (ADC/PWI/T2-w) image fusion approach for accurate semi-automatic segmentation of tumorous regions in glioblastoma multiforme

Hamidreza Saligheh Rad, Sahar Rezaei, Anahita Fathi Kazerooni, 2015, Magnetic Resonance Materials in Physics, Biology and Medicine.

Adding Value to Liquid Biopsy for Brain Tumors: The Role of Imaging

Hossein Shooli, Ariana M. Familiar, S. Bagheri, 2023, Cancers.

Applications of Radiomics and Radiogenomics in High-Grade Gliomas in the Era of Precision Medicine

S. Bakas, C. Davatzikos, H. Akbari, 2021, Cancers.

Quantification of Multi-Parametric Magnetic Resonance Imaging Based on Radiomics Analysis for Differentiation of Benign and Malignant Lesions of Prostate

H. Saligheh Rad, M. Ghafoori, Fakhereh Pashaei, 2023, Journal of biomedical physics & engineering.

Contrast agent-based perfusion MRI methods

A. Fathi Kazerooni, L. Bell, Sudarshan Ragunathan, 2021, Advances in Magnetic Resonance Technology and Applications.

Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach

Zev A. Binder, S. Bakas, H. Akbari, 2024, Scientific reports.

Radiomic signatures of meningiomas using the Ki-67 proliferation index as a prognostic marker of clinical outcomes.

James J. Evans, C. Davatzikos, A. Fathi Kazerooni, 2023, Neurosurgical focus.