|
|
|
Graduate in Mathematics (2010) and Computer Science (2010) at Universidad Autónoma de Madrid. MsC on Mathematics and applications at Universidad Autónoma de Madrid (2011). PhD in Mathematics (2015) at Universidad de Castilla-La Mancha. His research interests are discrete mathematics, machine learning, image processing and their applications to Mathematical Biology. |
Publications
-
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 -
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)
Molina García, David
|
Graduate in Mathematics (2010) and Computer Science (2010) at Universidad Autónoma de Madrid. MsC on Mathematics and applications at Universidad Autónoma de Madrid (2011). PhD in Mathematics (2015) at Universidad de Castilla-La Mancha. His research interests are discrete mathematics, machine learning, image processing and their applications to Mathematical Biology. |
Publications
- 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 - 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)
