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Graduate in Mathematics (2010) and Computer Science (2010) at Universidad Autónoma de Madrid. MsC on Mathematics and applications at Universidad Autónoma de Madrid (2011). PhD in Mathematics (2015) at Universidad de Castilla-La Mancha. His research interests are discrete mathematics, machine learning, image processing and their applications to Mathematical Biology. |
Publications
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Geometrical measures obtained from pretreatment postcontrast T1 weighted MRIs predict survival benefits from bevacizumab in glioblastoma patients
PLoS One 11(8) e0161484 (2016).
D. Molina, J. Pérez-Beteta, A. Martínez-González, J.M. Sepúlveda, S. Peralta, M. Gil-Gil, G. Reynes, A. Herrero, R. De Las Peñas, R. Luque, J. Capellades, C. Balaña, V.M. Pérez-Garcia -
Influence of grey level and space discretization on brain tumor heterogeneity measures obtained from MRIs
Computers in Biology and Medicine 78, 49-57 (2016)
D. Molina, J. Pérez-Beteta, A. Martínez-González, J. Martino, C. Velasquez, E. Arana, V.M. Pérez-García -
Metabolic tumor burden assessed by dual time point 18F-FDG PET/CT in breast cancer: Relation with tumor biology
European Journal of Nuclear Medicine and Molecular Imaging 43, S74-S75 (2016)
A.M. García Vicente, J. Pérez-Beteta, M. Tello Galán, D. Molina-García, G.J. Londono, V.M. Pérez-García, A. Martínez-González, F.P. Pardo, A. Soriano-Castrejón -
Predictive and prognostic potential of volume-based metabolic variables with F-18-FDG PET/CT in locally advanced breast cancer
European Journal of Nuclear Medicine and Nuclear Imaging 43, S27-S28 (2016)
A.M. García Vicente, J. Pérez-Beteta, M. Tello Galán, D. Molina-García, G. J. Londono, V.M. Pérez-García, A. Martínez-González, F.P. Pardo, A. Soriano-Castrejón -
Tumour heterogeneity in glioblastoma assessed by MRI texture analysis: a potential marker of survival.
British Journal on Radiology 89, 2016242 (2016)
D. Molina, J. Pérez-Beteta, B. Luque, E. Arregui, M. Calvo, J. M. Borrás, C. López, J. Martino, C. Velasquez, B. Asenjo, M. Benavides, I. Herruzo, A. Martínez-González, E. Arana. L. Pérez, V. M. Pérez-García -
Using extensión sets to aggregate partial rankings in a flexible setting
Applied Mathematics and Computation 290,208-223 (2016)
J.A. Aledo, J.A. Gámez, D. Molina -
Using metaheuristic algorithms for the parameter estimation in generalized Mallows model.
Applied Soft Computing 38, 308-320 (2016)
J.A. Aledo, J.A. Gámez, D. Molina.
Projects
- Establishing a non-invasive approach to accurately diagnose and assess brain tumors
Canadian Cancer Society (2024 - 2027) - Improving New Therapies in Oncology and Related Fields using mathematical models and biomedical data
Ministry of Science and Innovation (National Research Plan) (2023 - 2026) - Mathematical models for the digital transition in neuro-oncology: In-silico design of a clinical trial for glioblastoma.
Ministerio de Ciencia e Innovación (NextGenerationEU) (2023 - 2024) - Validation and transfer of oncological data and biomarkers based on mathematical models (AFTERbioMATH)
Ministry of Science and Innovation (Spain), Proof of Concept Program (2023 - 2024) - Mathematical models in Oncology
Ministerio de Ciencia e Innovación (Spain) (2020 - 2023)
Molina García, David
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Graduate in Mathematics (2010) and Computer Science (2010) at Universidad Autónoma de Madrid. MsC on Mathematics and applications at Universidad Autónoma de Madrid (2011). PhD in Mathematics (2015) at Universidad de Castilla-La Mancha. His research interests are discrete mathematics, machine learning, image processing and their applications to Mathematical Biology. |
Publications
- Geometrical measures obtained from pretreatment postcontrast T1 weighted MRIs predict survival benefits from bevacizumab in glioblastoma patients
PLoS One 11(8) e0161484 (2016).
D. Molina, J. Pérez-Beteta, A. Martínez-González, J.M. Sepúlveda, S. Peralta, M. Gil-Gil, G. Reynes, A. Herrero, R. De Las Peñas, R. Luque, J. Capellades, C. Balaña, V.M. Pérez-Garcia - Influence of grey level and space discretization on brain tumor heterogeneity measures obtained from MRIs
Computers in Biology and Medicine 78, 49-57 (2016)
D. Molina, J. Pérez-Beteta, A. Martínez-González, J. Martino, C. Velasquez, E. Arana, V.M. Pérez-García - Metabolic tumor burden assessed by dual time point 18F-FDG PET/CT in breast cancer: Relation with tumor biology
European Journal of Nuclear Medicine and Molecular Imaging 43, S74-S75 (2016)
A.M. García Vicente, J. Pérez-Beteta, M. Tello Galán, D. Molina-García, G.J. Londono, V.M. Pérez-García, A. Martínez-González, F.P. Pardo, A. Soriano-Castrejón - Predictive and prognostic potential of volume-based metabolic variables with F-18-FDG PET/CT in locally advanced breast cancer
European Journal of Nuclear Medicine and Nuclear Imaging 43, S27-S28 (2016)
A.M. García Vicente, J. Pérez-Beteta, M. Tello Galán, D. Molina-García, G. J. Londono, V.M. Pérez-García, A. Martínez-González, F.P. Pardo, A. Soriano-Castrejón - Tumour heterogeneity in glioblastoma assessed by MRI texture analysis: a potential marker of survival.
British Journal on Radiology 89, 2016242 (2016)
D. Molina, J. Pérez-Beteta, B. Luque, E. Arregui, M. Calvo, J. M. Borrás, C. López, J. Martino, C. Velasquez, B. Asenjo, M. Benavides, I. Herruzo, A. Martínez-González, E. Arana. L. Pérez, V. M. Pérez-García - Using extensión sets to aggregate partial rankings in a flexible setting
Applied Mathematics and Computation 290,208-223 (2016)
J.A. Aledo, J.A. Gámez, D. Molina - Using metaheuristic algorithms for the parameter estimation in generalized Mallows model.
Applied Soft Computing 38, 308-320 (2016)
J.A. Aledo, J.A. Gámez, D. Molina.
Projects
- Establishing a non-invasive approach to accurately diagnose and assess brain tumors
Canadian Cancer Society (2024 - 2027) - Improving New Therapies in Oncology and Related Fields using mathematical models and biomedical data
Ministry of Science and Innovation (National Research Plan) (2023 - 2026) - Mathematical models for the digital transition in neuro-oncology: In-silico design of a clinical trial for glioblastoma.
Ministerio de Ciencia e Innovación (NextGenerationEU) (2023 - 2024) - Validation and transfer of oncological data and biomarkers based on mathematical models (AFTERbioMATH)
Ministry of Science and Innovation (Spain), Proof of Concept Program (2023 - 2024) - Mathematical models in Oncology
Ministerio de Ciencia e Innovación (Spain) (2020 - 2023)
