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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
-
Growth exponents reflect evolutionary processes and treatment response in brain metastases
npj Systems Biology and Applications 9, 35 (2023)
B. Ocaña-Tienda, J. Pérez-Beteta, D. Molina-García, J. Jiménez-Sánchez, O. Leon-Triana, A. Ortiz de Mendivil, B. Asenjo, D. Albillo, L. Pérez-Romasanta, M. Valiente, L. Zhu, P. García- Gómez, E. González-Del Portillo, M. Llorente, N. Carballo, E. Arana, V. M. Pérez-García -
Metabolic Activity Grows in Human Cancers Pushed by Phenotypic Variability
iScience 26(3) 106118 (2023)
J.J. Bosque, G.F. Calvo, D. Molina-García, J. Pérez-Beteta, A.M. García Vicente, V. M. Pérez-García -
Evolutionary dynamics at the tumor edge reveals metabolic imaging biomarkers
Proceedings of the National Academy of Sciences (USA) 118(6) e2018110118 (2021).
J. Jiménez-Sánchez, J.J. Bosque, G.A. Jiménez-Londoño, D. Molina-García, A. Martínez-Rubio, J. Pérez-Beteta, C. Ortega-Sabater, A.F Honguero-Martínez, A.M. García-Vicente, G.F. Calvo, V.M. Pérez-García -
A mesoscopic simulator to uncover heterogeneity and evolutionary dynamics in tumors
PLoS Computational Biology 17(2) e1008266 (2021).
J. Jiménez-Sánchez, A. Martínez-Rubio, A. Popov, J. Pérez-Beteta, Y. Azimzade, D. Molina-García, J. Belmonte-Beitia, G.F. Calvo, V.M. Pérez-García -
Universal scaling laws rule explosive growth in human cancers
Nature Physics 16, 1232-1237 (2020)
V.M. Pérez-García, G.F. Calvo, J.J. Bosque, O. León-Triana, J. Jiménez-Sánchez, J. Pérez-Beteta, J. Belmonte-Beitia, M. Valiente, L. Zhu, P. García-Gómez, P. Sánchez-Gómez, E. Hernández, R. Hortigüela, Y. Azimzade, D. Molina-García, A.Martínez-Rubio, A. Acosta, A. Ortiz de Mendivil, F. Vallette, P. Schucht, M. Murek, M.Pérez-Cano, D.Albillo, AF Honguero, G.A. Jiménez, E. Arana, AM García-Vicente -
Universal scaling laws rule explosive growth in human cancers
Nature Physics 16, 1232-1237 (2020)
V.M. Pérez-García, G.F. Calvo, J.J. Bosque, O. León-Triana, J. Jiménez-Sánchez, J. Pérez-Beteta, J. Belmonte-Beitia, M. Valiente, L. Zhu, P. García-Gómez, P. Sánchez-Gómez, E. Hernández, R. Hortigüela, Y. Azimzade, D. Molina-García, A.Martínez-Rubio, A. Acosta, A. Ortiz de Mendivil, F. Vallette, P. Schucht, M. Murek, M.Pérez-Cano, D.Albillo, AF Honguero, G.A. Jiménez, E. Arana, AM García-Vicente -
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 -
Intratumoral heterogeneity in 18F-FDG PET/CT by textural analysis in breast cancer as predictive and prognostic subrogate.
Annals of Nuclear Medicine 32(6), 379-388 (2018).
D. Molina A.M. García Vicente, J. Pérez-Beteta, M. Amo-Salas, A. Martínez-González, M.J. Tello Galán, A. Soriano, V.M. Pérez-García -
Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction
In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Lecture Notes in Computer Science, vol 10670. Springer
A. Jungo, R. McKinley, R. Meier, U. Knecht, L. Vera, J. Pérez-Beteta, D. Molina, V.M. Pérez-García, R. Wiest, M. Reyes -
Tumor Surface Regularity at MR Imaging Predicts Survival and Response to Surgery in Patients with Glioblastoma
Radiology 288(1), 218-225 (2018)
J. Pérez-Beteta, D. Molina, A. Fernández, B. Luque, E. Arregui, M. Calvo, J. M. Borrás, A. Fernández-Romero, B. Luque, B. Meléndez, A.R. de Lope, R. Moreno, L. Iglesias, J.A. Barcia, J. Martino, C. Velasquez, B. Asenjo, M. Benavides, I. Herruzo, A. Revert, E. Arana, V. M. Pérez-García -
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 -
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. -
Tackling the rank aggregation problem with evolutionary algorithms
Applied Mathematics and Computation 222, 632-644 (2013)
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
- Growth exponents reflect evolutionary processes and treatment response in brain metastases
npj Systems Biology and Applications 9, 35 (2023)
B. Ocaña-Tienda, J. Pérez-Beteta, D. Molina-García, J. Jiménez-Sánchez, O. Leon-Triana, A. Ortiz de Mendivil, B. Asenjo, D. Albillo, L. Pérez-Romasanta, M. Valiente, L. Zhu, P. García- Gómez, E. González-Del Portillo, M. Llorente, N. Carballo, E. Arana, V. M. Pérez-García - Metabolic Activity Grows in Human Cancers Pushed by Phenotypic Variability
iScience 26(3) 106118 (2023)
J.J. Bosque, G.F. Calvo, D. Molina-García, J. Pérez-Beteta, A.M. García Vicente, V. M. Pérez-García - Evolutionary dynamics at the tumor edge reveals metabolic imaging biomarkers
Proceedings of the National Academy of Sciences (USA) 118(6) e2018110118 (2021).
J. Jiménez-Sánchez, J.J. Bosque, G.A. Jiménez-Londoño, D. Molina-García, A. Martínez-Rubio, J. Pérez-Beteta, C. Ortega-Sabater, A.F Honguero-Martínez, A.M. García-Vicente, G.F. Calvo, V.M. Pérez-García - A mesoscopic simulator to uncover heterogeneity and evolutionary dynamics in tumors
PLoS Computational Biology 17(2) e1008266 (2021).
J. Jiménez-Sánchez, A. Martínez-Rubio, A. Popov, J. Pérez-Beteta, Y. Azimzade, D. Molina-García, J. Belmonte-Beitia, G.F. Calvo, V.M. Pérez-García - Universal scaling laws rule explosive growth in human cancers
Nature Physics 16, 1232-1237 (2020)
V.M. Pérez-García, G.F. Calvo, J.J. Bosque, O. León-Triana, J. Jiménez-Sánchez, J. Pérez-Beteta, J. Belmonte-Beitia, M. Valiente, L. Zhu, P. García-Gómez, P. Sánchez-Gómez, E. Hernández, R. Hortigüela, Y. Azimzade, D. Molina-García, A.Martínez-Rubio, A. Acosta, A. Ortiz de Mendivil, F. Vallette, P. Schucht, M. Murek, M.Pérez-Cano, D.Albillo, AF Honguero, G.A. Jiménez, E. Arana, AM García-Vicente - Universal scaling laws rule explosive growth in human cancers
Nature Physics 16, 1232-1237 (2020)
V.M. Pérez-García, G.F. Calvo, J.J. Bosque, O. León-Triana, J. Jiménez-Sánchez, J. Pérez-Beteta, J. Belmonte-Beitia, M. Valiente, L. Zhu, P. García-Gómez, P. Sánchez-Gómez, E. Hernández, R. Hortigüela, Y. Azimzade, D. Molina-García, A.Martínez-Rubio, A. Acosta, A. Ortiz de Mendivil, F. Vallette, P. Schucht, M. Murek, M.Pérez-Cano, D.Albillo, AF Honguero, G.A. Jiménez, E. Arana, AM García-Vicente - 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 - Intratumoral heterogeneity in 18F-FDG PET/CT by textural analysis in breast cancer as predictive and prognostic subrogate.
Annals of Nuclear Medicine 32(6), 379-388 (2018).
D. Molina A.M. García Vicente, J. Pérez-Beteta, M. Amo-Salas, A. Martínez-González, M.J. Tello Galán, A. Soriano, V.M. Pérez-García - Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction
In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Lecture Notes in Computer Science, vol 10670. Springer
A. Jungo, R. McKinley, R. Meier, U. Knecht, L. Vera, J. Pérez-Beteta, D. Molina, V.M. Pérez-García, R. Wiest, M. Reyes - Tumor Surface Regularity at MR Imaging Predicts Survival and Response to Surgery in Patients with Glioblastoma
Radiology 288(1), 218-225 (2018)
J. Pérez-Beteta, D. Molina, A. Fernández, B. Luque, E. Arregui, M. Calvo, J. M. Borrás, A. Fernández-Romero, B. Luque, B. Meléndez, A.R. de Lope, R. Moreno, L. Iglesias, J.A. Barcia, J. Martino, C. Velasquez, B. Asenjo, M. Benavides, I. Herruzo, A. Revert, E. Arana, V. M. Pérez-García - 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 - 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. - Tackling the rank aggregation problem with evolutionary algorithms
Applied Mathematics and Computation 222, 632-644 (2013)
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)
