| Non-invasive decision support for NSCLC treatment using PET/CT radiomics W Mu, L Jiang, JY Zhang, Y Shi, JE Gray, I Tunali, C Gao, Y Sun, J Tian, ... Nature communications 11 (1), 5228, 2020 | 207 | 2020 |
| Radiomics of 18F-FDG PET/CT images predicts clinical benefit of advanced NSCLC patients to checkpoint blockade immunotherapy W Mu, I Tunali, JE Gray, J Qi, MB Schabath, RJ Gillies European journal of nuclear medicine and molecular imaging 47, 1168-1182, 2020 | 160 | 2020 |
| Novel clinical and radiomic predictors of rapid disease progression phenotypes among lung cancer patients treated with immunotherapy: an early report I Tunali, JE Gray, J Qi, M Abdalah, DK Jeong, A Guvenis, RJ Gillies, ... Lung Cancer 129, 75-79, 2019 | 142 | 2019 |
| Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images W Mu, L Jiang, Y Shi, I Tunali, JE Gray, E Katsoulakis, J Tian, RJ Gillies, ... Journal for immunotherapy of cancer 9 (6), 2021 | 133 | 2021 |
| Application of radiomics and artificial intelligence for lung cancer precision medicine I Tunali, RJ Gillies, MB Schabath Cold Spring Harbor perspectives in medicine 11 (8), a039537, 2021 | 79 | 2021 |
| Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions I Tunali, LO Hall, S Napel, D Cherezov, A Guvenis, RJ Gillies, ... Medical physics 46 (11), 5075-5085, 2019 | 65 | 2019 |
| Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening J Pérez-Morales, I Tunali, O Stringfield, SA Eschrich, Y Balagurunathan, ... Scientific Reports 10 (1), 10528, 2020 | 62 | 2020 |
| Hypoxia-related radiomics and immunotherapy response: a multicohort study of non-small cell lung cancer I Tunali, Y Tan, JE Gray, E Katsoulakis, SA Eschrich, J Saller, HJWL Aerts, ... JNCI Cancer Spectrum 5 (4), pkab048, 2021 | 39 | 2021 |
| Radiomics of 18F Fluorodeoxyglucose PET/CT Images Predicts Severe Immune-related Adverse Events in Patients with NSCLC W Mu, I Tunali, J Qi, MB Schabath, RJ Gillies Radiology: Artificial Intelligence 2 (1), e190063, 2020 | 37 | 2020 |
| Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients I Tunali, O Stringfield, A Guvenis, H Wang, Y Liu, Y Balagurunathan, ... Oncotarget 8 (56), 96013, 2017 | 34 | 2017 |
| Radiomic biomarkers from PET/CT multi-modality fusion images for the prediction of immunotherapy response in advanced non-small cell lung cancer patients W Mu, J Qi, H Lu, M Schabath, Y Balagurunathan, I Tunali, RJ Gillies Medical Imaging 2018: Computer-Aided Diagnosis 10575, 854-860, 2018 | 26 | 2018 |
| Combining radiomics and mathematical modeling to elucidate mechanisms of resistance to immune checkpoint blockade in non-small cell lung cancer D Saeed-Vafa, R Bravo, JA Dean, A El-Kenawi, N Mon Père, M Strobl, ... BioRxiv, 190561, 2017 | 13 | 2017 |
| Longitudinal head-to-head comparison of 11C-PiB and 18F-florbetapir PET in a Phase 2/3 clinical trial of anti-amyloid-β monoclonal antibodies in dominantly … CD Chen, A McCullough, B Gordon, N Joseph-Mathurin, S Flores, ... European journal of nuclear medicine and molecular imaging 50 (9), 2669-2682, 2023 | 10 | 2023 |
| Volume doubling time and radiomic features predict tumor behavior of screen-detected lung cancers J Pérez-Morales, H Lu, W Mu, I Tunali, T Kutuk, SA Eschrich, ... Cancer Biomarkers 33 (4), 489-501, 2022 | 9 | 2022 |
| Mass segmantation on mammograms using active contours İ Tunalı, E Kılıç 2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013 | 9 | 2013 |
| Safety and amyloid plaque reduction effects of remternetug in patients with Alzheimer’s disease: Interim analysis from a phase 1 study Y Jin, I Gueorguieva, YJ Cheng, I Tunali, S Shcherbinin, D Perahia International Conference on Alzheimer’s and Parkinson’s Disease (AD/PD), 2023 | 8 | 2023 |
| Tau as a diagnostic instrument in clinical trials to predict amyloid in Alzheimer's disease S Shcherbinin, A Morris, IA Higgins, I Tunali, M Lu, C Deveau, ... Alzheimer's & Dementia: Translational Research & Clinical Interventions 9 (3 …, 2023 | 7 | 2023 |
| Hypoxia-Related radiomics predict immunotherapy response: a multi-cohort study of NSCLC I Tunali, Y Tan, JE Gray, E Katsoulakis, SA Eschrich, J Saller, T Boyle, J Qi, ... BioRxiv, 2020.04. 02.020859, 2020 | 6 | 2020 |
| P1. 01-041 quantitative imaging features predict response of immunotherapy in non-small cell lung cancer patients: Topic: Prognostic factors, treatment I Tunali, J Gray, J Qi, M Abdullah, Y Balagurunathan, R Gillies, ... Journal of Thoracic Oncology 12 (1), S474-S475, 2017 | 6 | 2017 |
| prediction of clinical benefit to checkpoint blockade in advanced NSCLC patients using radiomics of PET/CT images W Mu, I Tunali, JE Gray, J Qi, MB Schabath, RJ Gillies Cancer Research 80 (16_Supplement), 868-868, 2020 | 4 | 2020 |
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterAdresse e-mail validée de moffitt.org
