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Electrical Engineer (2014), Master and PhD in Physics and Mathematics (2016 and 2019) by the University of Castilla-La Mancha. 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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Clinicopathologic and metabolic variables from 18F-FDG PET/CT in the prediction of recurrence pattern in stage I-III non-small-cell lung cancer after curative surgery.
Annals of Nuclear Medicine (2025)
G. Jiménez-Londoño, J. Pérez-Beteta, M. Amo-Salas, A. Honguero, V M. Pérez-García, C. Lucas, A. M. Soriano, A. M. 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. His research involves medical image processing for the development of new morphological and metabolic imaging biomarkers, based on mathematical models of tumor growth. |
Publications
- Clinicopathologic and metabolic variables from 18F-FDG PET/CT in the prediction of recurrence pattern in stage I-III non-small-cell lung cancer after curative surgery.
Annals of Nuclear Medicine (2025)
G. Jiménez-Londoño, J. Pérez-Beteta, M. Amo-Salas, A. Honguero, V M. Pérez-García, C. Lucas, A. M. Soriano, A. M. 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)
