| Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma N Elshafeey, A Kotrotsou, A Hassan, N Elshafei, I Hassan, S Ahmed, ... Nature communications 10 (1), 3170, 2019 | 130 | 2019 |
| Radiomics to predict immunotherapy-induced pneumonitis: proof of concept RR Colen, T Fujii, MA Bilen, A Kotrotsou, S Abrol, KR Hess, J Hajjar, ... Investigational new drugs 36, 601-607, 2018 | 105 | 2018 |
| Radiomic phenotyping in brain cancer to unravel hidden information in medical images S Abrol, A Kotrotsou, A Salem, PO Zinn, RR Colen Topics in Magnetic Resonance Imaging 26 (1), 43-53, 2017 | 38 | 2017 |
| Distinct radiomic phenotypes define glioblastoma TP53-PTEN-EGFR mutational landscape PO Zinn, SK Singh, A Kotrotsou, S Abrol, G Thomas, J Mosley, A Elakkad, ... Neurosurgery 64 (CN_suppl_1), 203-210, 2017 | 37 | 2017 |
| Multi-center study finds postoperative residual non-enhancing component of glioblastoma as a new determinant of patient outcome A Kotrotsou, A Elakkad, J Sun, GA Thomas, D Yang, S Abrol, W Wei, ... Journal of neuro-oncology 139, 125-133, 2018 | 35 | 2018 |
| Silent sentence completion shows superiority localizing Wernicke’s area and activation patterns of distinct language paradigms correlate with genomics: prospective study KE Salek, IS Hassan, A Kotrotsou, S Abrol, SH Faro, FB Mohamed, ... Scientific reports 7 (1), 12054, 2017 | 13 | 2017 |
| NIMG-91. RADIOMIC ANALYSIS OF PSEUDO-PROGRESSION COMPARED TO TRUE PROGRESSION IN GLIOBLASTOMA PATIENTS: A LARGE-SCALE MULTI-INSTITUTIONAL STUDY S Abrol, A Kotrotsou, A Hassan, N Elshafeey, A Agarwal, I Hassan, T Idris, ... Neuro-Oncology 19 (suppl_6), vi162-vi163, 2017 | 10 | 2017 |
| Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma. Nat Commun 10 (1): 3170 N Elshafeey, A Kotrotsou, A Hassan, N Elshafei, I Hassan, S Ahmed, ... | 6 | 2019 |
| Multicenter study to demonstrate radiomic texture features derived from MR perfusion images of pseudoprogression compared to true progression in glioblastoma patients. N Elshafeey, A Kotrotsou, D Giniebra Camejo, S Abrol, I Hassan, ... Journal of Clinical Oncology 35 (15_suppl), 2016-2016, 2017 | 6 | 2017 |
| Radiomics discriminates pseudo-progression from true progression in glioblastoma patients: A large-scale multi-institutional study S Abrol, A Kotrotsou, A Hassan, N Elshafeey, T Idris, N Manohar, ... Cancer Research 78 (13_Supplement), 3040-3040, 2018 | 3 | 2018 |
| 213 radiomic machine learning algorithms discriminate pseudo-progression from true progression in glioblastoma patients: a multi-institutional study PO Zinn, S Abrol, A Kotrotsou, A Hassan, N Elshafeey, T Idris, N Manohar, ... Neurosurgery 65 (CN_suppl_1), 119-120, 2018 | 1 | 2018 |
| Interrogating machine learning classifiers and dimensionality reduction techniques for radiomic prediction of glioma tumor grade. K Wahid, A Kotrotsou, S Abrol, A Hassan, N Elshafeey, RR Colen Journal of clinical oncology 36 (15_suppl), 2031-2031, 2018 | 1 | 2018 |
| NIMG-29. RADIOMIC ANALYSIS ON APPARENT DIFFUSION COEFFICIENT (ADC) MAPS PREDICTS PLATELET-DERIVED GROWTH FACTOR RECEPTOR ALPHA (PDGFRA) GENE AMPLIFICATION FOR NEWLY DIAGNOSED … S Maraka, A Kotrotsou, S Abrol, A Hassan, N Elshafeey, O Starostina, ... Neuro-oncology 19 (Suppl 6), vi148, 2017 | 1 | 2017 |
| The role of radiomics in the preoperative diagnosis of renal cell carcinoma with sarcomatoid dedifferentiation (sRCC). C Suk-Ouichai, A Kotrotsou, T Idris, S Abrol, E Umbreit, AG McIntosh, ... Journal of Clinical Oncology 37 (7_suppl), 621-621, 2019 | | 2019 |
| Prediction of Platelet-Derived Growth Factor Receptor Alpha (PDGFRA) gene amplification for newly diagnosed glioblastoma patients with radiomic analysis on Apparent Diffusion … S Maraka, A Kotrotsou, S Abrol, A Hassan, N Elshafeey, O Starostina, ... Neurology 90 (15 Supplement), 2018 | | 2018 |
| NIMG-02. MULTI-CENTER STUDY DEMONSTRATES RADIOMIC TEXTURE FEATURES DERIVED FROM MR PERFUSION IMAGES PREDICT PSEUDOPROGRESSION FROM TRUE PROGRESSION IN GLIOBLASTOMA PATIENTS N Elshafeey, A Kotrotsou, S Abrol, I Hassan, A Hassan, A Agarwal, ... Neuro-Oncology 19 (Suppl 6), vi143, 2017 | | 2017 |
| Radiomic Analysis Differentiates between True Progression and Pseudo-progression in Glioblastoma patients: A Large Scale Multi-institutional Study A Kotrotsou, S Abrol, NA Elshafeey, I Hassan, DG Camejo, A Hassan, ... | | |
| Silent Sentence Completion Paradigm Shows Superiority in Localization of Wernicke’s Area and Changes in Functional Activation in the Distinct Language Paradigms Correlate with … K El Salek, I Hassan, SH Faro, S Abrol, A Kotrotsou, FB Mohamed, ... | | |
| Radiomic Analysis Differentiates Between Pseudoprogression and True Progression in Glioblastoma Patients: A Large Scale Multi-Institutional Study S Abrol, A Kotrotsou, A Hassan, NA Elshafeey, A Agarwal, I Hassan, ... | | |
| Radiomic Texture Features from MR Perfusion images Predicts Pseudoprogression from True Progression in Glioblastoma Patients: A Multi-Institutional Study A Kotrotsou, NA Elshafeey, S Abrol, DG Camejo, I Hassan, A Hassan, ... | | |
