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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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18F-Fluorocholine PET/CT in the prediction of molecular subtypes and prognosis for gliomas.
Clinical Nuclear Medicine 44(10) e548-e558 (2019).
A.M. Garcia Vicente, J. Perez-Beteta, M. Amo-Salas, F.J. Pena Pardo, M. Villena, H. Sandoval, M. Mollejo, R. Barbella, C.J. Klein, J.M. Borras, A.M. Soriano, V.M. Pérez-García -
Global heterogeneity assessed with 18F-FDG PET/CT. Relation with biological variables and prognosis in locally advanced breast cancer.
Rev Esp Med Nucl Im Mol 38(5) 290-297 (2019)
M.J. Tello-Galán, A.M. García Vicente, J. Pérez-Beteta, M. Amo-Salas, G.A. Jiménez Londoño, F.J. Pena Pardo, A. Soriano, V.M. Pérez García -
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
- 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
- 18F-Fluorocholine PET/CT in the prediction of molecular subtypes and prognosis for gliomas.
Clinical Nuclear Medicine 44(10) e548-e558 (2019).
A.M. Garcia Vicente, J. Perez-Beteta, M. Amo-Salas, F.J. Pena Pardo, M. Villena, H. Sandoval, M. Mollejo, R. Barbella, C.J. Klein, J.M. Borras, A.M. Soriano, V.M. Pérez-García - Global heterogeneity assessed with 18F-FDG PET/CT. Relation with biological variables and prognosis in locally advanced breast cancer.
Rev Esp Med Nucl Im Mol 38(5) 290-297 (2019)
M.J. Tello-Galán, A.M. García Vicente, J. Pérez-Beteta, M. Amo-Salas, G.A. Jiménez Londoño, F.J. Pena Pardo, A. Soriano, V.M. Pérez García - 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
- 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)
