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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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Analytical performance validation of aPROMISE platform for prostate tumor burden
Scientific Reports 14, 3001 (2024)
García Vicente, A.M., Lucas Lucas, C., Pérez-Beteta, J. et al. -
Growth dynamics of lung nodules: implications for classification in lung cancer screening
Cancer Imaging 24, 113 (2024)
B. Ocaña-Tienda, A. Eroles-Simó, J. Pérez-Beteta, E. Arana, V. M. Pérez-García -
Morphological MRI features as prognostic indicators in brain metastases
Cancer Imaging 24, 111 (2024)
Ocaña-Tienda B, Pérez-Beteta J, Ortiz de Mendivil A, Asenjo B, Albillo D, Pérez-Romasanta LA, LLorente M, Carballo N, Arana E, Pérez-García VM. -
Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach
PLOS Computational Biology 20(1) e1011400 (2024)
Beatriz Ocana-Tienda, Odelaisy Leon-Triana, Julian Perez-Beteta, Juan Jiménez-Sánchez, Victor M. Perez-Garcia -
Volumetric Analysis: Rethinking Brain Metastases Response Assessment
Neuro-Oncoloy Advances 6(1), 1-9 (2024)
B Ocaña-Tienda, J Pérez-Beteta, JA Romero-Rosales, B Asenjo, A Ortiz, LA Pérez Romasanta, JD Albillo, F Nagib, M Vidal Denis, B. Luque, E. Arana, VM 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
- Analytical performance validation of aPROMISE platform for prostate tumor burden
Scientific Reports 14, 3001 (2024)
García Vicente, A.M., Lucas Lucas, C., Pérez-Beteta, J. et al. - Growth dynamics of lung nodules: implications for classification in lung cancer screening
Cancer Imaging 24, 113 (2024)
B. Ocaña-Tienda, A. Eroles-Simó, J. Pérez-Beteta, E. Arana, V. M. Pérez-García - Morphological MRI features as prognostic indicators in brain metastases
Cancer Imaging 24, 111 (2024)
Ocaña-Tienda B, Pérez-Beteta J, Ortiz de Mendivil A, Asenjo B, Albillo D, Pérez-Romasanta LA, LLorente M, Carballo N, Arana E, Pérez-García VM. - Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach
PLOS Computational Biology 20(1) e1011400 (2024)
Beatriz Ocana-Tienda, Odelaisy Leon-Triana, Julian Perez-Beteta, Juan Jiménez-Sánchez, Victor M. Perez-Garcia - Volumetric Analysis: Rethinking Brain Metastases Response Assessment
Neuro-Oncoloy Advances 6(1), 1-9 (2024)
B Ocaña-Tienda, J Pérez-Beteta, JA Romero-Rosales, B Asenjo, A Ortiz, LA Pérez Romasanta, JD Albillo, F Nagib, M Vidal Denis, B. Luque, E. Arana, VM 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)
