Julián Pérez-Beteta

发表

P04.19 Recommendations for computation of textural measures obtained from 3D brain tumor MRIs: A robustness analysis points out the need for standardization.

Estanislao Arana, Víctor M. Pérez-García, David Molina, 2017 .

Influence of gray level and space discretization on brain tumor heterogeneity measures obtained from magnetic resonance images

Estanislao Arana, Víctor M. Pérez-García, Julián Pérez-Beteta, 2016, Comput. Biol. Medicine.

Prognostic models based on imaging findings in glioblastoma: Human versus Machine

Estanislao Arana, Julián Pérez-Beteta, David Molina-García, 2019, Scientific Reports.

Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction

Víctor M. Pérez-García, Richard McKinley, Mauricio Reyes, 2017, BrainLes@MICCAI.

Tumor Surface Regularity at MR Imaging Predicts Survival and Response to Surgery in Patients with Glioblastoma.

Estanislao Arana, Julián Pérez-Beteta, Belén Luque, 2018, Radiology.

Glioblastoma: does the pre-treatment geometry matter? A postcontrast T1 MRI-based study

Estanislao Arana, Víctor M. Pérez-García, Mariano Amo-Salas, 2017, European Radiology.

Morphological MRI-based features provide pretreatment survival prediction in glioblastoma

Estanislao Arana, Mariano Amo-Salas, Julián Pérez-Beteta, 2018, European Radiology.

Universal scaling laws rule explosive growth in human cancers

Estanislao Arana, Víctor M. Pérez-García, Youness Azimzade, 2020, Nature Physics.

Textural features and SUV-based variables assessed by dual time point 18F-FDG PET/CT in locally advanced breast cancer

Gloria Bueno, Mariano Amo-Salas, David Molina, 2017, Annals of Nuclear Medicine.

Lack of robustness of textural measures obtained from 3D brain tumor MRIs impose a need for standardization

Estanislao Arana, David Molina, Julián Pérez-Beteta, 2017, PloS one.