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    A Mathematical Model Describes the Malignant Transformation of Low Grade Gliomas: Prognostic implications
    M.U. Bogdanska, M. Bodnar, M.J. Piotrowska, M. Murek, P. Schucht, J. Beck, A. Martínez-González, V.M. Pérez-García
    PLOS One 12(8):e0179999 (2017)

    A mathematical model of low grade gliomas treated with temozolomide and its therapeutical implications
    M.U. Bogdanska, M. Bodnar, J. Belmonte-Beitia, M. Murek, P. Schucht, J. Beck, V.M. Pérez-García
    Mathematical Biosciences 288 (2017) 1-13

    Assessing response in locally advanced breast cancer treated with neaodjuvant chemotherapy: Predictive and prognostic potential of volume-based metabolic variables with 18F-FDG PET/CT
    M.D.M. Munoz-Sanchez, A. Soriano, A.M. Garcia-Vicente, M.J. Molina-Garrido, J. Perez-Beteta, A. Olaverri-Herandez, D. Molina-Garcia, J.A.S. Crespo, V.M. Perez-Garcia, E. Val-Pérez, F. Martín-Ordóñez, J.I. Chacón-Muñiz, R. Álvarez-Cabellos, R. Espinosa-Aunión, C. Ortega-Ruipérez, M.J. Cantero, A. Castro, E. Vaquero, E. Catalá, F. Torrecillas and A. Soriano-Castrejón
    Cancer Research 77, P4-01-04 (2017)

    Combined in-silico and on-chip validation of pseudopalisade formation hypothesis in Glioblastoma
    A. Martínez-González, J.M. Ayuso, R. Monge, M. Virumbrales-Muñoz, G.A. Llamazares, A. Hernández-Laín, P. Sánchez-Gómez, V.M. Pérez-García, L.J. Fernández, I. Ochoa
    Neuro-Oncology 19(3):iii62-iii62 (2017)

    Glioblastoma on a microfluidic chip: Generating pseudopalisades and enhancing cancer cell’s aggressiveness through blood vessel obstruction events
    J.M. Ayuso, R. Monge, A. Martínez-González, G.A. Llamazares, J. Berganzo, A. Hernández-Laín, J. Santolaria, M. Doblaré, C. Hubert, J. Rich, P. Sánchez-Gómez, V.M. Pérez-García, I. Ochoa, L.J. Fernández
    Neuro-Oncology 19(4), 503-513 (2017).

    Glioblastoma: Does the pre-treatment geometry matter? A postcontrast T1 MRI-based study
    J. Pérez-Beteta, A. Martínez-González, D. Molina, M. Amo, B. Luque, E. Arregui, M. Calvo, J. M. Borrás, C. López, M. Claramonte, J. Barcia, L. Iglesias, J. Avecillas, D.Albillo, M. Navarro, J.M. Villanueva, J.C. Paniagua, J. Martino, C. Velasquez, B. Asenjo, M. Benavides, I. Herruzo, M.C. Delgado, A. Del Valle, A. Falkov, P. Schucht, E. Arana, L. Pérez-Romasanta, V. M.Pérez-García
    European Radiology 27(3), 1096-1104 (2017)

    Hyperspectral imaging for brain tumour identification and boundaries delineation in real-time during neurosurgical operations
    J.F. Piñeiro, D. Bulters, S. Ortega, H. Fabelo, S. Kabwama, C. Sosa, S. Bishop, A. Martínez-González, A. Szolna, G.M. Callico
    Neuro Oncol (2017) 19 (suppl_3): iii44.

    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, E. Arana, V.M. Pérez-García
    PLoS One 12(6):e0178843 (2017)

    Malignant transformation of low-grade gliomas. Prognostic implications from mathematical model
    M.U. Bogdanska, M. Bodnar, M.J. Piotrowska, M. Murek, P. Schucht, J. Beck, A. Martínez-Gonzalez, V.M. Perez-Garcia
    Neuro-Oncology 19(3), iii85-iii85 (2017)

    Metabolic tumor burden assessed by dual time point 18F-FDG PET/CT in locally advanced breast cancer: Relation with tumor biology.
    A.M. García-Vicente, J. Pérez-Beteta, A. Martínez-González, V.M. Pérez-García, D. Molina, G.A. Jiménez Londoño, A. Soriano-Castrejón
    Molecular Imaging and Biology 19(4), 636-644 (2017)

    Non-Standard Radiotherapy Fractionations Delay the Time to Malignant Transformation in Low-Grade Gliomas
    A. Henares-Molina, S. Benzekry, P.C. Lara, M. García-Rojo, V.M Pérez-García, A. Martínez-González
    PLoS One 12(6):e0178552 (2017)

    Novel geometrical imaging biomarkers predict survival and allow for patient selection for surgery in glioblastoma patients
    J. Pérez-Beteta, D. Molina, A. Martínez-González, E. Arregui, B. Asenjo, L. Iglesias, J. Martino, L. Pérez-Romasanta, E. Arana, V.M. Pérez-García
    Neuro-Oncology 19(3):iii80-iii80 (2017)

    Optimized radiotherapy protocols delay the malignant transformation of low-grade gliomas in-silico
    A. Henares-Molina, S. Benzecry, P. Lara, M. García-Rojo, V.M. Pérez-García, A. Martínez-González
    Neuro Oncol (2017) 19 (3): iii12.

    Optimizing the delivery of combination therapy for tumors: A mathematical model
    C. Rojas Rodríguez and J. Belmonte-Beitia
    International Journal of Biomathematics 10 (2017) 1750039

    Recommendations for computation of textural measures obtained from 3D brain tumor MRIs: A robustness analysis points out the need for standardization
    D. Molina, J. Pérez-Beteta, A. Martínez-González, C. Velásquez, J. Martino, B. Luque, A. Revert, I. Herruzo, E. Arana, V.M. Pérez-García
    Neuro-Oncology 19 (3): iii44 (2017)

    Stochastic modelling of slow-progressing tumors: analysis and applications to the cell interplay and control of low grade gliomas
    C. Rojas-Rodríguez, G. Fernández Calvo, I. Ramis-Conde, J. Belmonte-Beitia
    Communications in Nonlinear Science and Numerical Simulation 49 (2017) 63-80

    Tackling the supervised label ranking problem by bagging weak learners
    J.A. Aledo, J.A. Gámez, D. Molina
    Information Fusion 35, 38-50 (2017)

    Textural features and SUV-based variables assessed by dual time point 18F-FDG PET/CT in locally advanced breast cancer
    A.M. García-Vicente, D. Molina, J. Pérez-Beteta, M. Amo-Salas, A. Martínez-González, G. Bueno, M.J. Tello-Galán, A. Soriano-Castrejón
    Annals of Nuclear Medicine 31(10) 726-735 (2017)

    The prognostic value of systemic inflammatory indices in recurrent Glioma treated with bevacizumab
    A. Martínez-González, C. González Díaz, R. Cabrera, M. Lloret Sáez-Bravo, P. C. Lara
    Neuro-Oncology 19(suppl_3):iii76-iii77 (2017)

    Towards individualized survival prediction in glioblastoma patients using machine learning methods
    L. Vera, J. Pérez-Beteta, D. Molina, J.M. Borrás, M. Benavides, J.A. Barcia, C. Velásquez, D. Albillo, P. Lara, V.M. Pérez-García
    Neuro-Oncology 19(3):iii84-iii84 (2017)

    Predictive and prognostic potential of volume-based metabolic variables obtained by basal 18F-FDG PET/CT in breast cancer with neoadjuvant chemotherapy indication
    A.M. García Vicente, J. Pérez-Beteta, M. Amo-Salas, D. Molina, G. Jiménez Londoño, A. Soriano-Castrejón, M.J. Tello, F.J. Pena Pardo, A. Martínez-González
    Revista Española de Medicina Nuclear e Imagen Molecular 37(2), 73-79 (2017)

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