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PhD student and Researcher
Edificio Politécnico, Campus de Ciudad Real EXT: 96012
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Electrical Engineer (Castilla-La Mancha University, 2014). Master in Physics and Mathematics (2016). PhD student and researcher working on the image segmentation, obtention of geometrical measures of tumors from PET and MRI images and their use as prognostic tools. |
Publications
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A three-dimensional computational analysis of magnetic resonance images characterizes the biological aggressiveness in malignant brain tumors
Journal of the Royal Society Interface 15, 20180503 (2018).
J. Pérez-Beteta, A. Martínez-González, V. M. Pérez-García -
Intratumoral heterogeneity in 18F-FDG PET/CT by textural analysis in breast cancer as predictive and prognostic subrogate.
Annals of Nuclear Medicine 32(6), 379-388 (2018).
D. Molina A. M. García Vicente, J. Pérez-Beteta, M. Amo-Salas, A. Martínez-González, M. J. Tello Galán, A. Soriano, V. M. Pérez-García -
Is it possible to establish the postoperative extent of resection of glioblastoma with 18F-fluorocholine PET/CT?
Clinical Nuclear Medicine 43(8) e269-e273 (2018).
A. M. García Vicente, J. Pérez-Beteta, M. Calvo, M. Villena, A. Soriano -
Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction
In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Lecture Notes in Computer Science, vol 10670. Springer
A. Jungo, R. McKinley, R. Meier, U. Knecht, L. Vera, J. Pérez-Beteta, D. Molina, V. M. Pérez-García, R. Wiest, M. Reyes -
Tumor Surface Regularity at MR Imaging Predicts Survival and Response to Surgery in Patients with Glioblastoma
Radiology 288(1), 218-225 (2018)
J. Pérez-Beteta, D. Molina, A. Fernández, B. Luque, E. Arregui, M. Calvo, J. M. Borrás, A. Fernández-Romero, B. Luque, B. Meléndez, A.R. de Lope, R. Moreno, L. Iglesias, J.A. Barcia, J. Martino, C. Velasquez, B. Asenjo, M. Benavides, I. Herruzo, A. Revert, E. Arana, V. M. Pérez-García
Projects
- Mathematical models in Oncology
Ministerio de Ciencia e Innovación (Spain) (2020 - 2023) - Mathematical models of tumor growth and response to therapies
Junta de Comunidades de Castilla-La Mancha (2018 - 2021) - Therapy Optimization in Glioblastoma: An integrative human data-based approach using mathematical models (Stage II)
James S. Mc. Donnell Foundation (USA) (2018 - 2021) - Mathematical Oncology: Models, Analysis and Applications
Ministerio de Economía y Competitividad (2016 - 2019)
Pérez Beteta, Julián

PhD student and Researcher
Edificio Politécnico, Campus de Ciudad Real
EXT: 96012
Electrical Engineer (Castilla-La Mancha University, 2014). Master in Physics and Mathematics (2016). PhD student and researcher working on the image segmentation, obtention of geometrical measures of tumors from PET and MRI images and their use as prognostic tools. |
Publications
- A three-dimensional computational analysis of magnetic resonance images characterizes the biological aggressiveness in malignant brain tumors
Journal of the Royal Society Interface 15, 20180503 (2018).
J. Pérez-Beteta, A. Martínez-González, V. M. Pérez-García - Intratumoral heterogeneity in 18F-FDG PET/CT by textural analysis in breast cancer as predictive and prognostic subrogate.
Annals of Nuclear Medicine 32(6), 379-388 (2018).
D. Molina A. M. García Vicente, J. Pérez-Beteta, M. Amo-Salas, A. Martínez-González, M. J. Tello Galán, A. Soriano, V. M. Pérez-García - Is it possible to establish the postoperative extent of resection of glioblastoma with 18F-fluorocholine PET/CT?
Clinical Nuclear Medicine 43(8) e269-e273 (2018).
A. M. García Vicente, J. Pérez-Beteta, M. Calvo, M. Villena, A. Soriano - Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction
In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2017. Lecture Notes in Computer Science, vol 10670. Springer
A. Jungo, R. McKinley, R. Meier, U. Knecht, L. Vera, J. Pérez-Beteta, D. Molina, V. M. Pérez-García, R. Wiest, M. Reyes - Tumor Surface Regularity at MR Imaging Predicts Survival and Response to Surgery in Patients with Glioblastoma
Radiology 288(1), 218-225 (2018)
J. Pérez-Beteta, D. Molina, A. Fernández, B. Luque, E. Arregui, M. Calvo, J. M. Borrás, A. Fernández-Romero, B. Luque, B. Meléndez, A.R. de Lope, R. Moreno, L. Iglesias, J.A. Barcia, J. Martino, C. Velasquez, B. Asenjo, M. Benavides, I. Herruzo, A. Revert, E. Arana, V. M. Pérez-García
Projects
- Mathematical models in Oncology
Ministerio de Ciencia e Innovación (Spain) (2020 - 2023) - Mathematical models of tumor growth and response to therapies
Junta de Comunidades de Castilla-La Mancha (2018 - 2021) - Therapy Optimization in Glioblastoma: An integrative human data-based approach using mathematical models (Stage II)
James S. Mc. Donnell Foundation (USA) (2018 - 2021) - Mathematical Oncology: Models, Analysis and Applications
Ministerio de Economía y Competitividad (2016 - 2019)