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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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Segmentation in non-small-cell lung tumors using 18F-fluorodeoxyglucose PET/CT: tips and rules.
Clinical Nuclear Medicine 45(11) e477-e482 (2020)
G.A Jiménez Londoño, J. Pérez-beteta, J.J. Bosque, A.F. Hoguero, A.M García Vicente -
Tumor width on T1-weighted MRI images of glioblastoma as a prognostic biomarker: A mathematical model
Mathematical Modelling of Natural Phenomena 15, 10 (2020)
J. Pérez Beteta, J. Belmonte-Beitia, 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
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
- Segmentation in non-small-cell lung tumors using 18F-fluorodeoxyglucose PET/CT: tips and rules.
Clinical Nuclear Medicine 45(11) e477-e482 (2020)
G.A Jiménez Londoño, J. Pérez-beteta, J.J. Bosque, A.F. Hoguero, A.M García Vicente - Tumor width on T1-weighted MRI images of glioblastoma as a prognostic biomarker: A mathematical model
Mathematical Modelling of Natural Phenomena 15, 10 (2020)
J. Pérez Beteta, J. Belmonte-Beitia, 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
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)
