| Imaging signatures of glioblastoma molecular characteristics: a radiogenomics review A Fathi Kazerooni, S Bakas, H Saligheh Rad, C Davatzikos Journal of Magnetic Resonance Imaging 52 (1), 54-69, 2020 | 84 | 2020 |
| Dynamic contrast magnetic resonance imaging (DCE-MRI) and diffusion weighted MR imaging (DWI) for differentiation between benign and malignant salivary gland tumors S Assili, AF Kazerooni, L Aghaghazvini, HRS Rad, JP Islamian Journal of biomedical physics & engineering 5 (4), 157, 2015 | 57* | 2015 |
| Characterization of active and infiltrative tumorous subregions from normal tissue in brain gliomas using multiparametric MRI A Fathi Kazerooni, M Nabil, M Zeinali Zadeh, K Firouznia, ... Journal of Magnetic Resonance Imaging 48 (4), 938-950, 2018 | 54 | 2018 |
| AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortium C Davatzikos, JS Barnholtz-Sloan, S Bakas, R Colen, A Mahajan, ... Neuro-oncology 22 (6), 886-888, 2020 | 42 | 2020 |
| Multi-parametric (ADC/PWI/T2-w) image fusion approach for accurate semi-automatic segmentation of tumorous regions in glioblastoma multiforme AF Kazerooni, M Mohseni, S Rezaei, G Bakhshandehpour, HS Rad Magnetic Resonance Materials in Physics, Biology and Medicine 28 (1), 13-22, 2015 | 42 | 2015 |
| The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics S Bakas, C Sako, H Akbari, M Bilello, A Sotiras, G Shukla, JD Rudie, ... Scientific data 9 (1), 453, 2022 | 41 | 2022 |
| Dynamic contrast magnetic resonance imaging (DCE-MRI) and diffusion weighted MR imaging (DWI) for differentiation between benign and malignant salivary gland tumors S Assili, AF Kazerooni, L Aghaghazvini, HRS Rad, JP Islamian Journal of biomedical physics & engineering 5 (4), 157, 2015 | 41 | 2015 |
| Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma A Fathi Kazerooni, H Akbari, G Shukla, C Badve, JD Rudie, C Sako, ... JCO Clinical Cancer Informatics 4, 234-244, 2020 | 39 | 2020 |
| Applications of radiomics and radiogenomics in high-grade gliomas in the era of precision medicine A Fathi Kazerooni, SJ Bagley, H Akbari, S Saxena, S Bagheri, J Guo, ... Cancers 13 (23), 5921, 2021 | 34 | 2021 |
| Semiquantitative dynamic contrast‐enhanced MRI for accurate classification of complex adnexal masses AF Kazerooni, M Malek, H Haghighatkhah, S Parviz, M Nabil, L Torbati, ... Journal of Magnetic Resonance Imaging 45 (2), 418-427, 2017 | 34 | 2017 |
| An efficient point based registration of intra-operative ultrasound images with MR images for computation of brain shift; A phantom study P Farnia, A Ahmadian, A Khoshnevisan, AH Jaberzadeh, ND Serej, ... 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 33 | 2011 |
| Segmentation of brain tumors in MRI images using multi-scale gradient vector flow AF Kazerooni, A Ahmadian, ND Serej, HS Rad, H Saberi, H Yousefi, ... 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 32 | 2011 |
| 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 P Khateri, H Saligheh Rad, AH Jafari, A Fathi Kazerooni, A Akbarzadeh, ... Molecular imaging and biology 17, 884-892, 2015 | 28 | 2015 |
| Diffusion MRI for assessment of bone quality; a review of findings in healthy aging and osteoporosis A Fathi Kazerooni, JM Pozo, EV McCloskey, H Saligheh Rad, AF Frangi Journal of Magnetic Resonance Imaging 51 (4), 975-992, 2020 | 27 | 2020 |
| Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma A Fathi Kazerooni, S Saxena, E Toorens, D Tu, V Bashyam, H Akbari, ... Scientific Reports 12 (1), 8784, 2022 | 25 | 2022 |
| Machine learning using multiparametric magnetic resonance imaging radiomic feature analysis to predict Ki-67 in World Health Organization grade I meningiomas O Khanna, AF Kazerooni, CJ Farrell, MP Baldassari, TD Alexander, ... Neurosurgery 89 (5), 928-936, 2021 | 25 | 2021 |
| Differentiation of benign from malignant adnexal masses by dynamic contrast-enhanced MRI (DCE-MRI): quantitative and semi-quantitative analysis at 3-Tesla MRI M Gity, S Parviz, HS Rad, AF Kazerooni, E Shirali, M Shakiba, M Baikpour Asian Pacific Journal of Cancer Prevention: APJCP 20 (4), 1073, 2019 | 19 | 2019 |
| Generation of attenuation map for MR-based attenuation correction of PET data in the head area employing 3D short echo time MR imaging P Khateri, H Saligheh Rad, A Fathi, MR Ay Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2013 | 17 | 2013 |
| Automated tumor segmentation and brain tissue extraction from multiparametric MRI of pediatric brain tumors: A multi-institutional study A Fathi Kazerooni, S Arif, R Madhogarhia, N Khalili, D Haldar, S Bagheri, ... Neuro-Oncology Advances 5 (1), vdad027, 2023 | 16 | 2023 |
| ADC‐derived spatial features can accurately classify adnexal lesions A Fathi Kazerooni, M Nabil, H Haghighat Khah, M Alviri, ... Journal of Magnetic Resonance Imaging 47 (4), 1061-1071, 2018 | 16 | 2018 |
