| Tumor surface regularity at MR imaging predicts survival and response to surgery in patients with glioblastoma J Pérez-Beteta, D Molina-García, JA Ortiz-Alhambra, ... Radiology 288 (1), 218-225, 2018 | 106 | 2018 |
| Universal scaling laws rule explosive growth in human cancers VM Pérez-García, GF Calvo, JJ Bosque, O León-Triana, J Jiménez, ... Nature physics 16 (12), 1232-1237, 2020 | 74 | 2020 |
| Towards uncertainty-assisted brain tumor segmentation and survival prediction A Jungo, R McKinley, R Meier, U Knecht, L Vera, J Pérez-Beteta, ... International MICCAI Brainlesion Workshop, 474-485, 2017 | 73 | 2017 |
| Tumour heterogeneity in glioblastoma assessed by MRI texture analysis: a potential marker of survival D Molina, J Pérez-Beteta, B Luque, E Arregui, M Calvo, JM Borrás, ... The British journal of radiology 89 (1064), 20160242, 2016 | 70 | 2016 |
| Influence of gray level and space discretization on brain tumor heterogeneity measures obtained from magnetic resonance images D Molina, J Pérez-Beteta, A Martínez-González, J Martino, C Velásquez, ... Computers in biology and medicine 78, 49-57, 2016 | 67 | 2016 |
| Lack of robustness of textural measures obtained from 3D brain tumor MRIs impose a need for standardization D Molina, J Pérez-Beteta, A Martínez-González, J Martino, C Velasquez, ... PLoS One 12 (6), e0178843, 2017 | 66 | 2017 |
| Tackling the rank aggregation problem with evolutionary algorithms JA Aledo, JA Gámez, D Molina Applied Mathematics and Computation 222, 632-644, 2013 | 64 | 2013 |
| Glioblastoma: does the pre-treatment geometry matter? A postcontrast T1 MRI-based study J Pérez-Beteta, A Martínez-González, D Molina, M Amo-Salas, B Luque, ... European radiology 27 (3), 1096-1104, 2017 | 49 | 2017 |
| Intratumoral heterogeneity in 18 F-FDG PET/CT by textural analysis in breast cancer as a predictive and prognostic subrogate D Molina-García, AM García-Vicente, J Pérez-Beteta, M Amo-Salas, ... Annals of nuclear medicine 32 (6), 379-388, 2018 | 46 | 2018 |
| Tackling the supervised label ranking problem by bagging weak learners JA Aledo, JA Gámez, D Molina Information Fusion 35, 38-50, 2017 | 44 | 2017 |
| Evolutionary dynamics at the tumor edge reveal metabolic imaging biomarkers J Jiménez-Sánchez, JJ Bosque, GAJ Londoño, D Molina-García, ... Proceedings of the National Academy of Sciences 118 (6), 2021 | 31 | 2021 |
| A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data B Ocaña-Tienda, J Pérez-Beteta, JD Villanueva-García, ... Scientific Data 10 (1), 208, 2023 | 30 | 2023 |
| Textural features and SUV-based variables assessed by dual time point 18F-FDG PET/CT in locally advanced breast cancer AM Garcia-Vicente, D Molina, J Pérez-Beteta, M Amo-Salas, ... Annals of nuclear medicine 31 (10), 726-735, 2017 | 29 | 2017 |
| Morphological MRI-based features provide pretreatment survival prediction in glioblastoma J Pérez-Beteta, D Molina-García, A Martínez-González, A Henares-Molina, ... European radiology 29 (4), 1968-1977, 2019 | 26 | 2019 |
| Using extension sets to aggregate partial rankings in a flexible setting JA Aledo, JA Gámez, D Molina Applied Mathematics and Computation 290, 208-223, 2016 | 26 | 2016 |
| Morphologic features on MR imaging classify multifocal glioblastomas in different prognostic groups J Pérez-Beteta, D Molina-García, M Villena, MJ Rodríguez, C Velásquez, ... American Journal of Neuroradiology 40 (4), 634-640, 2019 | 21 | 2019 |
| Consensus‐based journal rankings: A complementary tool for bibliometric evaluation JA Aledo, JA Gámez, D Molina, A Rosete Journal of the Association for Information Science and Technology 69 (7 …, 2018 | 20 | 2018 |
| Prognostic models based on imaging findings in glioblastoma: Human versus Machine D Molina-García, L Vera-Ramírez, J Pérez-Beteta, E Arana, ... Scientific reports 9 (1), 1-9, 2019 | 19 | 2019 |
| Geometrical measures obtained from pretreatment postcontrast T1 weighted MRIs predict survival benefits from bevacizumab in glioblastoma patients D Molina, J Pérez-Beteta, A Martínez-González, JM Sepúlveda, S Peralta, ... PloS one 11 (8), e0161484, 2016 | 16 | 2016 |
| A mesoscopic simulator to uncover heterogeneity and evolutionary dynamics in tumors J Jiménez-Sánchez, Á Martínez-Rubio, A Popov, J Pérez-Beteta, ... PLoS computational biology 17 (2), e1008266, 2021 | 15 | 2021 |