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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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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, 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 -
Lack of robustness of textural measures obtained from 3D brain tumor MRIs impose a need for standardization
PLoS One 12(6):e0178843 (2017)
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 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-Castrejón -
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 -
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. Soriano-Castrejón, M.J. Tello, F.J. Pena Pardo, A. Martínez-González -
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 -
Tackling the supervised label ranking problem by bagging weak learners
Information Fusion 35, 38-50 (2017)
J.A. Aledo, J.A. Gámez, D. 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)
A.M. García-Vicente, D. Molina, J. Pérez-Beteta, M. Amo-Salas, A. Martínez-González, G. Bueno, M.J. Tello-Galán, A. Soriano-Castrejón -
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
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
- 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, 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 - Lack of robustness of textural measures obtained from 3D brain tumor MRIs impose a need for standardization
PLoS One 12(6):e0178843 (2017)
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 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-Castrejón - 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 - 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. Soriano-Castrejón, M.J. Tello, F.J. Pena Pardo, A. Martínez-González - 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 - Tackling the supervised label ranking problem by bagging weak learners
Information Fusion 35, 38-50 (2017)
J.A. Aledo, J.A. Gámez, D. 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)
A.M. García-Vicente, D. Molina, J. Pérez-Beteta, M. Amo-Salas, A. Martínez-González, G. Bueno, M.J. Tello-Galán, A. Soriano-Castrejón - 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
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)
