• Approaching the Rank Aggregation Problem by Local Search-based Metaheuristics.
  Information Sciences (2018, submitted)
  Juan A. Aledo, José A. Gámez, David Molina.


• Flux density and coating strongly influence nanoparticle internalization into cells
  Nanoletters (2018, submitted)
  Belén Cortés-Llanos, Gabriel F. Calvo, Juan Belmonte-Beitia, Sandra M. Ocampo, Leonor de la Cueva, Lucas Pérez, Cristobal Belda-Iniesta, Gorka Salas and Ángel Ayuso-Sacido.


• Labile Hemoglobin as a Glycemic Biomarker for Patient-Specific Monitoring of Diabetes: Mathematical Modelling Approach
  Journal of the Royal Society Interface (submitted)
  O. León-Triana, G. F. Calvo, J. Belmonte-Beitia, M. Rosa Durán, J. Escribano-Serrano, A. Michan-Doña, V. M. Pérez-García


• Regulation of the oxidative balance with Coenzyme Q10 sensitizes human glioblastoma cells to radiation and temozolomide
  Radiotherapy and Oncology (2018, submitted)
  J Frontiñán, R Santiago, C Nieva, G Ferrín, A Martínez, MV Gomez, M Moreno, J Ariza, E Lozano, J Arjona, A Gil, M De la Mata, M Pesic, JR Peinado, JM Villalba, L Pérez-Romasanta, et al


• Ultimate dynamics and optimal control of a multi-compartment model of tumor resistance to chemotherapy
  Discrete and Continuous Dynamical Systems B, (2018 submitted)
  A. Alvarez-Arenas, K.E. Starkov, G. F. Calvo, Juan Belmonte-Beitia


• Changes in the retreatment radiation tolerance of the spinal cord with time after the initial treatment
  International Journal of Radiation Biology (2018)
  T. E. Wooley, J. Belmonte-Beitia, G. F. Calvo, J. W. Hopewell, E. A. Gaffney and B. Jones


• Intratumoral heterogeneity in 18F-FDG PET/CT by textural analysis in breast cancer as predictive and prognostic subrogate.
  Annals of Nuclear Medicine (2018)
  D. Molina A. M. Garcia Vicente, J. Perez-Beteta, M. Amo-Salas, A. Martinez-Gonzalez, Maria J. Tello Galan, Angel Soriano Castrejon, Victor M. Perez-Garcia


• Tumor Surface Regularity at MR Imaging Predicts Survival and Response to Surgery in Patients with Glioblastoma
  Radiology (2018) doi:10.1148/radiol.201171051
  J. Pérez-Beteta, D. Molina, A. Fernández, B. Luque, E.. Arregui, M. Calvo et al


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


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


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


• 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
  Cancer Research 77, P4-01-04 (2017)
  Munoz-Sanchez MDM, Soriano MC, Garcia-Vicente AM Molina-Garrido MJ, Perez-Beteta J, Olaverri-Herandez, A , Molina-Garcia D, Crespo JAS, Perez-Garcia VM, Val-Perez E, Martin-Ordonez F, Chacon-Muniz JL,


• Combined in-silico and on-chip validation of pseudopalisade formation hypothesis in Glioblastoma
  Neuro-Oncology 19(3):iii62-iii62 (2017)
  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


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


• Glioblastoma: Does the pre-treatment geometry matter? A postcontrast T1 MRI-based study
  European Radiology 27(3), 1096-1104 (2017)
  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,...., V. M.Pérez-García


• Lack of robustness of textural measures obtained from 3D brain tumor MRIs impose a need for standardization
  PLoS One 12(6):e0178843 (2017)
  David Molina, Julián Pérez-Beteta, Alicia Martínez-González, Juan Martino, Carlos Velasquez, Estanislao Arana, Víctor M. Pérez-García


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


• 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 19(4), 636-644 (2017)
  A. M. García-Vicente, J. Pérez-Beteta, A. Martínez-González, V.M. Pérez-García, D. Molina, G.A. Jiménez Londoño, A. Soriano


• Non-Standard Radiotherapy Fractionations Delay the Time to Malignant Transformation in Low-Grade Gliomas
  PLoS One 12(6):e0178552 (2017)
  Araceli Henares-Molina, Sebastien Benzekry, Pedro C Lara, Marcial García-Rojo, Víctor M Pérez-García, and Alicia Martínez-González


• Novel geometrical imaging biomarkers predict survival and allow for patient selection for surgery in glioblastoma patients
  Neuro-Oncology 19(3):iii80-iii80 (2017)
  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


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


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


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


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


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


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


• Towards individualized survival prediction in glioblastoma patients using machine learning methods
  Neuro-Oncology 19(3):iii84-iii84 (2017)
  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

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• Nonlinear waves: Applications to biological and Physical Systems
  Junta de Comunidades de Castilla-La Mancha


• Therapy optimization in glioblastoma: An integrative human data-based approach using mathematical models
  James S. Mc. Donnell Foundation

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