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Department of Mathematics, Castilla-La Mancha University
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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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Approaching the Rank Aggregation Problem by Local Search-based Metaheuristics.
Journal of Computational and Applied Mathematics 354, 445-456 (2019)
J.A. Aledo, J.A. Gámez, D. Molina. -
Morphologic features on MR imaging classify multifocal glioblastomas in different prognostic groups
American Journal of Neuro-radiology 40 (4) 634-640 (2019).
J. Pérez-Beteta, D. Molina, M. Villena, M. Rodríguez, C. Velásquez, J. Martino, B. Meléndez, A.R. de Lope, R. Morcillo, J. Sepúlveda, A. Hernández, A. Ramos, J. Barcia, P. Lara, D. Albillo, A. Revert, E. Arana, V.M. Pérez-Garcia -
Morphological MRI-based features provide pretreatment and post-surgery survival prediction in glioblastoma
European Radiology 29(4) 1968-1977 (2019)
J. Pérez-Beteta, D. Molina-García, A. Martínez-González, M. Amo, A. Henares-Molina, B. Luque, E. Arregui, M. Calvo, J.M.Borrás, J. Martino, C. Velasquez, B. Meléndez, A.R. de Lope, R. Moreno, J.A. Barcia, B. Asenjo, M. Benavides, I. Herruzo, P.C. Lara, R. Cabrera, D. Albillo, M. Navarro, L.A. Pérez-Romasanta, A. Revert, E. Arana, V.M. Pérez-García -
Prognostic models based on imaging findings in glioblastoma: Human versus Machine
Scientific Reports 9:5982 (2019)
D. Molina-García, L. Vera, J. Pérez-Beteta, E. Arana, V.M. Pérez-García
Projects
- Mathematical modeling for the improvement of cellular immunotherapies and radiopharmaceutical treatments.
Partially supported by University of Castilla-La Mancha / ERDF, A way of making Europe (Applied Research Projects) under grant 2025-GRIN-38309 (2025 - 2028) - Model-based digital twins for biomarker development and virtual clinical trials in oncology.
Supported by project SBPLY/24/180225/000193, funded by Junta de Comunidades de Castilla-La Mancha. Spain and European Regional Development Fund (ERDF A way of making Europe). (2025 - 2028) - 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)
Molina García, David
Department of Mathematics, Castilla-La Mancha University
|
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
- Approaching the Rank Aggregation Problem by Local Search-based Metaheuristics.
Journal of Computational and Applied Mathematics 354, 445-456 (2019)
J.A. Aledo, J.A. Gámez, D. Molina. - Morphologic features on MR imaging classify multifocal glioblastomas in different prognostic groups
American Journal of Neuro-radiology 40 (4) 634-640 (2019).
J. Pérez-Beteta, D. Molina, M. Villena, M. Rodríguez, C. Velásquez, J. Martino, B. Meléndez, A.R. de Lope, R. Morcillo, J. Sepúlveda, A. Hernández, A. Ramos, J. Barcia, P. Lara, D. Albillo, A. Revert, E. Arana, V.M. Pérez-Garcia - Morphological MRI-based features provide pretreatment and post-surgery survival prediction in glioblastoma
European Radiology 29(4) 1968-1977 (2019)
J. Pérez-Beteta, D. Molina-García, A. Martínez-González, M. Amo, A. Henares-Molina, B. Luque, E. Arregui, M. Calvo, J.M.Borrás, J. Martino, C. Velasquez, B. Meléndez, A.R. de Lope, R. Moreno, J.A. Barcia, B. Asenjo, M. Benavides, I. Herruzo, P.C. Lara, R. Cabrera, D. Albillo, M. Navarro, L.A. Pérez-Romasanta, A. Revert, E. Arana, V.M. Pérez-García - Prognostic models based on imaging findings in glioblastoma: Human versus Machine
Scientific Reports 9:5982 (2019)
D. Molina-García, L. Vera, J. Pérez-Beteta, E. Arana, V.M. Pérez-García
Projects
- Mathematical modeling for the improvement of cellular immunotherapies and radiopharmaceutical treatments.
Partially supported by University of Castilla-La Mancha / ERDF, A way of making Europe (Applied Research Projects) under grant 2025-GRIN-38309 (2025 - 2028) - Model-based digital twins for biomarker development and virtual clinical trials in oncology.
Supported by project SBPLY/24/180225/000193, funded by Junta de Comunidades de Castilla-La Mancha. Spain and European Regional Development Fund (ERDF A way of making Europe). (2025 - 2028) - 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)
