Publicaciones en las que colabora con Víctor Manuel Pérez García (24)

2019

  1. Correction to: Morphological MRI-based features provide pretreatment survival prediction in glioblastoma (European Radiology, (2019), 29, 4, (1968-1977), 10.1007/s00330-018-5758-7)

    European Radiology

  2. Morphological MRI-based features provide pretreatment survival prediction in glioblastoma

    European Radiology, Vol. 29, Núm. 4, pp. 1968-1977

2018

  1. A three-dimensional computational analysis of magnetic resonance images characterizes the biological aggressiveness in malignant brain tumours

    Journal of the Royal Society Interface, Vol. 15, Núm. 149

  2. Intratumoral heterogeneity in 18F-FDG PET/CT by textural analysis in breast cancer as a predictive and prognostic subrogate

    Annals of Nuclear Medicine, Vol. 32, Núm. 6, pp. 379-388

  3. Regulation of the oxidative balance with coenzyme Q10 sensitizes human glioblastoma cells to radiation and temozolomide

    Radiotherapy and Oncology, Vol. 128, Núm. 2, pp. 236-244

2017

  1. A mathematical model describes the malignant transformation of low grade gliomas: Prognostic implications

    PLoS ONE, Vol. 12, Núm. 8

  2. Glioblastoma on a microfluidic chip: Generating pseudopalisades and enhancing aggressiveness through blood vessel obstruction events

    Neuro-Oncology, Vol. 19, Núm. 4, pp. 503-513

  3. Glioblastoma: Pre-treatment geometry and texture of postcontrast T1 MRI matter

    2016 Conference on Design of Circuits and Integrated Systems, DCIS 2016 - Proceedings

  4. Glioblastoma: does the pre-treatment geometry matter? A postcontrast T1 MRI-based study

    European Radiology, Vol. 27, Núm. 3, pp. 1096-1104

  5. Lack of robustness of textural measures obtained from 3D brain tumor MRIs impose a need for standardization

    PLoS ONE, Vol. 12, Núm. 6

  6. Metabolic Tumor Burden Assessed by Dual Time Point [18F]FDG PET/CT in Locally Advanced Breast Cancer: Relation with Tumor Biology

    Molecular Imaging and Biology, Vol. 19, Núm. 4, pp. 636-644

  7. Non-standard radiotherapy fractionations delay the time to malignant transformation of low-grade gliomas

    PLoS ONE, Vol. 12, Núm. 6

2016

  1. Brain tumor: textural heterogeneity as predictor of survival in Glioblastoma

    No Lineal 2016. International Conference on Nonlinear Mathematics and Physics: 7-10, 2016. book of abstracts (Juan F.R. Archilla), pp. 44-44

  2. Geometrical measures obtained from pretreatment postcontrast T1 weighted mris predict survival benefits from bevacizumab in glioblastoma patients

    PLoS ONE, Vol. 11, Núm. 8

  3. Hypoxia in gliomas: Opening therapeutical opportunities using a mathematical-based approach

    Advances in Experimental Medicine and Biology (Springer New York LLC), pp. 11-29

  4. Influence of gray level and space discretization on brain tumor heterogeneity measures obtained from magnetic resonance images

    Computers in Biology and Medicine, Vol. 78, pp. 49-57

  5. Nonlinear ghost waves accelerate the progression of high-grade brain tumors

    Communications in Nonlinear Science and Numerical Simulation, Vol. 39, pp. 360-380

  6. Protracted metronomic therapies to target low-grade glioma malignant transformation

    No Lineal 2016. International Conference on Nonlinear Mathematics and Physics: 7-10, 2016. book of abstracts (Juan F.R. Archilla), pp. 38-38

  7. Tumour heterogeneity in glioblastoma assessed by MRI texture analysis: A potential marker of survival

    British Journal of Radiology, Vol. 89, Núm. 1064

2015

  1. Combined therapies of antithrombotics and antioxidants delay in silico brain tumour progression

    Mathematical Medicine and Biology, Vol. 32, Núm. 3, pp. 239-262