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Electrical Engineer (2014), Master and PhD in Physics and Mathematics (2016 and 2019) by the University of Castilla-La Mancha. He is now working as a postdoc and coordinating several clinical studies. His research involves medical image processing for the development of new morphological and metabolic imaging biomarkers, based on mathematical models of tumor growth. |
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
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)
Pérez Beteta, Julián
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Electrical Engineer (2014), Master and PhD in Physics and Mathematics (2016 and 2019) by the University of Castilla-La Mancha. He is now working as a postdoc and coordinating several clinical studies. His research involves medical image processing for the development of new morphological and metabolic imaging biomarkers, based on mathematical models of tumor growth. |
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
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)
