J.
Pérez Beteta
J. Pérez Beteta-rekin lankidetzan egindako argitalpenak (14)
2019
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Correction to: Morphological MRI-based features provide pretreatment survival prediction in glioblastoma (European Radiology, (2019), 29, 4, (1968-1977), 10.1007/s00330-018-5758-7)
European Radiology
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Morphological MRI-based features provide pretreatment survival prediction in glioblastoma
European Radiology, Vol. 29, Núm. 4, pp. 1968-1977
2018
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A three-dimensional computational analysis of magnetic resonance images characterizes the biological aggressiveness in malignant brain tumours
Journal of the Royal Society Interface, Vol. 15, Núm. 149
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Intratumoral heterogeneity in 18F-FDG PET/CT by textural analysis in breast cancer as a predictive and prognostic subrogate
Annals of Nuclear Medicine, Vol. 32, Núm. 6, pp. 379-388
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Predictive and prognostic potential of volume-based metabolic variables obtained by a baseline 18F-FDG PET/CT in breast cancer with neoadjuvant chemotherapy indication
Revista Espanola de Medicina Nuclear e Imagen Molecular, Vol. 37, Núm. 2, pp. 73-79
2017
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Glioblastoma: Pre-treatment geometry and texture of postcontrast T1 MRI matter
2016 Conference on Design of Circuits and Integrated Systems, DCIS 2016 - Proceedings
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Glioblastoma: does the pre-treatment geometry matter? A postcontrast T1 MRI-based study
European Radiology, Vol. 27, Núm. 3, pp. 1096-1104
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Lack of robustness of textural measures obtained from 3D brain tumor MRIs impose a need for standardization
PLoS ONE, Vol. 12, Núm. 6
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Metabolic Tumor Burden Assessed by Dual Time Point [18F]FDG PET/CT in Locally Advanced Breast Cancer: Relation with Tumor Biology
Molecular Imaging and Biology, Vol. 19, Núm. 4, pp. 636-644
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Textural features and SUV-based variables assessed by dual time point 18F-FDG PET/CT in locally advanced breast cancer
Annals of Nuclear Medicine, Vol. 31, Núm. 10, pp. 726-735
2016
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Brain tumor: textural heterogeneity as predictor of survival in Glioblastoma
No Lineal 2016. International Conference on Nonlinear Mathematics and Physics: 7-10, 2016. book of abstracts (Juan F.R. Archilla), pp. 44-44
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Geometrical measures obtained from pretreatment postcontrast T1 weighted mris predict survival benefits from bevacizumab in glioblastoma patients
PLoS ONE, Vol. 11, Núm. 8
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Influence of gray level and space discretization on brain tumor heterogeneity measures obtained from magnetic resonance images
Computers in Biology and Medicine, Vol. 78, pp. 49-57
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Tumour heterogeneity in glioblastoma assessed by MRI texture analysis: A potential marker of survival
British Journal of Radiology, Vol. 89, Núm. 1064