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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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Multiple and diffuse gliomas by 18F-Fluorocholine PET/CT: two sides of the same coin
Clinical Nuclear Medicine 47(6), e457-e465 (2022)
A. M. García Vicente, J. Pérez-Beteta, J. J. Bosque, A. M. Soriano, V. M. Pérez-García -
SUVmax to tumor perimeter distance: a robust radiomics prognostic biomarker in resectable non-small cell lung cancer patients
European Radiology 32, 3889-3902 (2022)
G. A. Jiménez-Londoño, A. M. García Vicente, J. J. Bosque, M. Amo-Salas, J. Pérez-Beteta, A. F. Honguero-Martinez, V. M. Pérez-García, A. M. Soriano
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
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
- Multiple and diffuse gliomas by 18F-Fluorocholine PET/CT: two sides of the same coin
Clinical Nuclear Medicine 47(6), e457-e465 (2022)
A. M. García Vicente, J. Pérez-Beteta, J. J. Bosque, A. M. Soriano, V. M. Pérez-García - SUVmax to tumor perimeter distance: a robust radiomics prognostic biomarker in resectable non-small cell lung cancer patients
European Radiology 32, 3889-3902 (2022)
G. A. Jiménez-Londoño, A. M. García Vicente, J. J. Bosque, M. Amo-Salas, J. Pérez-Beteta, A. F. Honguero-Martinez, V. M. Pérez-García, A. M. Soriano
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)