| Radiomics: the process and the challenges V Kumar, Y Gu, S Basu, A Berglund, SA Eschrich, MB Schabath, K Forster, ... Magnetic resonance imaging 30 (9), 1234-1248, 2012 | 1787 | 2012 |
| Acidity Generated by the Tumor Microenvironment Drives Local InvasionAcid-Mediated Invasion V Estrella, T Chen, M Lloyd, J Wojtkowiak, HH Cornnell, ... Cancer research 73 (5), 1524-1535, 2013 | 1161 | 2013 |
| Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels M Shafiq‐ul‐Hassan, GG Zhang, K Latifi, G Ullah, DC Hunt, ... Medical physics 44 (3), 1050-1062, 2017 | 437 | 2017 |
| Reproducibility and prognosis of quantitative features extracted from CT images Y Balagurunathan, Y Gu, H Wang, V Kumar, O Grove, S Hawkins, J Kim, ... Translational oncology 7 (1), 72-87, 2014 | 311 | 2014 |
| Predicting malignant nodules from screening CT scans S Hawkins, H Wang, Y Liu, A Garcia, O Stringfield, H Krewer, Q Li, ... Journal of Thoracic Oncology 11 (12), 2120-2128, 2016 | 249 | 2016 |
| Radiomic features are associated with EGFR mutation status in lung adenocarcinomas Y Liu, J Kim, Y Balagurunathan, Q Li, AL Garcia, O Stringfield, Z Ye, ... Clinical lung cancer 17 (5), 441-448. e6, 2016 | 247 | 2016 |
| Test–retest reproducibility analysis of lung CT image features Y Balagurunathan, V Kumar, Y Gu, J Kim, H Wang, Y Liu, DB Goldgof, ... Journal of digital imaging 27, 805-823, 2014 | 246 | 2014 |
| Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma O Grove, AE Berglund, MB Schabath, HJWL Aerts, A Dekker, H Wang, ... PloS one 10 (3), e0118261, 2015 | 245 | 2015 |
| CT features associated with epidermal growth factor receptor mutation status in patients with lung adenocarcinoma Y Liu, J Kim, F Qu, S Liu, H Wang, Y Balagurunathan, Z Ye, RJ Gillies Radiology 280 (1), 271-280, 2016 | 179 | 2016 |
| Estrogen induces apoptosis in estrogen deprivation-resistant breast cancer through stress responses as identified by global gene expression across time EA Ariazi, HE Cunliffe, JS Lewis-Wambi, MJ Slifker, AL Willis, P Ramos, ... Proceedings of the National Academy of Sciences 108 (47), 18879-18886, 2011 | 167 | 2011 |
| Deep feature transfer learning in combination with traditional features predicts survival among patients with lung adenocarcinoma R Paul, SH Hawkins, Y Balagurunathan, M Schabath, RJ Gillies, LO Hall, ... Tomography 2 (4), 388-395, 2016 | 157 | 2016 |
| Predicting outcomes of nonsmall cell lung cancer using CT image features SH Hawkins, JN Korecki, Y Balagurunathan, Y Gu, V Kumar, S Basu, ... IEEE access 2, 1418-1426, 2014 | 126 | 2014 |
| Comparison of established and emerging biodosimetry assays K Rothkamm, C Beinke, H Romm, C Badie, Y Balagurunathan, S Barnard, ... Radiation research 180 (2), 111-119, 2013 | 122 | 2013 |
| Prostate cancer radiomics and the promise of radiogenomics R Stoyanova, M Takhar, Y Tschudi, JC Ford, G Solórzano, N Erho, ... Translational cancer research 5 (4), 432, 2016 | 121 | 2016 |
| Radiomics of lung nodules: a multi-institutional study of robustness and agreement of quantitative imaging features J Kalpathy-Cramer, A Mamomov, B Zhao, L Lu, D Cherezov, S Napel, ... Tomography 2 (4), 430-437, 2016 | 119 | 2016 |
| Defining Cancer Subpopulations by Adaptive Strategies Rather Than Molecular Properties Provides Novel Insights into Intratumoral EvolutionModulating the Evolutionary Trajectory … A Ibrahim-Hashim, M Robertson-Tessi, PM Enriquez-Navas, M Damaghi, ... Cancer research 77 (9), 2242-2254, 2017 | 111 | 2017 |
| Radiologically defined ecological dynamics and clinical outcomes in glioblastoma multiforme: preliminary results M Zhou, L Hall, D Goldgof, R Russo, Y Balagurunathan, R Gillies, ... Translational oncology 7 (1), 5-13, 2014 | 102 | 2014 |
| Radiological Image Traits Predictive of Cancer Status in Pulmonary NodulesSemantics and Pulmonary Nodules Y Liu, Y Balagurunathan, T Atwater, S Antic, Q Li, RC Walker, GT Smith, ... Clinical Cancer Research 23 (6), 1442-1449, 2017 | 91 | 2017 |
| High metabolic tumor volume is associated with decreased efficacy of axicabtagene ciloleucel in large B-cell lymphoma EA Dean, RS Mhaskar, H Lu, MS Mousa, GS Krivenko, A Lazaryan, ... Blood Advances 4 (14), 3268-3276, 2020 | 89 | 2020 |
| Epigenetic transdifferentiation of normal melanocytes by a metastatic melanoma microenvironment EA Seftor, KM Brown, L Chin, DA Kirschmann, WW Wheaton, ... Cancer research 65 (22), 10164-10169, 2005 | 89 | 2005 |
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterVerified email at moffitt.org
