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MD (UNAH, 2011). Neurosurgeon (HUMV, 2017). Carlos Velásquez is a López-Albo Grant recipient (IDIVAL, 2017) and a Clinical Fellow in Neuro-oncology and Skull Base at the University of Toronto (2018-2019). He underwent further training in neuro-oncology research at Zadeh´s Lab (Princess Margaret Cancer Center, 2017-2018) and he is a current member of the "Cell Signalling and Therapeutic Targets in Cancer" research group at IDIVAL. García-Palomo Award recipient (HUMV, 2017). Member of the Spanish Society of Neurosurgery (SENEC) and the European Association of Neurosurgical Societies (EANS). Currently working on clinical and translational research in neuro-oncology and functional neuroanatomy. |
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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
- 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)
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MD (UNAH, 2011). Neurosurgeon (HUMV, 2017). Carlos Velásquez is a López-Albo Grant recipient (IDIVAL, 2017) and a Clinical Fellow in Neuro-oncology and Skull Base at the University of Toronto (2018-2019). He underwent further training in neuro-oncology research at Zadeh´s Lab (Princess Margaret Cancer Center, 2017-2018) and he is a current member of the "Cell Signalling and Therapeutic Targets in Cancer" research group at IDIVAL. García-Palomo Award recipient (HUMV, 2017). Member of the Spanish Society of Neurosurgery (SENEC) and the European Association of Neurosurgical Societies (EANS). Currently working on clinical and translational research in neuro-oncology and functional neuroanatomy. |
- 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
- 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)
