María Velasco-Casares

Meningioma Consistency Can Be Defined by Combining the Radiomic Features of Magnetic Resonance Imaging and Ultrasound Elastography. A Pilot Study Using Machine Learning Classifiers

Santiago Cepeda, Ignacio Arrese, Sergio García-García et al. · World Neurosurgery · 2020 · 45 citations

Medicine, Neurology, Radiology +14

Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI

Santiago Cepeda, Luigi Tommaso Luppino, Ángel Pérez‐Núñez et al. · Cancers · 2023 · 42 citations · Full text

Medicine, Radiology, Surgery +17

Predicting Short-Term Survival after Gross Total or Near Total Resection in Glioblastomas by Machine Learning-Based Radiomic Analysis of Preoperative MRI

Santiago Cepeda, Ángel Pérez‐Núñez, Sergio García-García et al. · Cancers · 2021 · 28 citations · Full text

Medicine, Oncology, Radiology +17

Comparison of Intraoperative Ultrasound B-Mode and Strain Elastography for the Differentiation of Glioblastomas From Solitary Brain Metastases. An Automated Deep Learning Approach for Image Analysis

Santiago Cepeda, Sergio García-García, Ignacio Arrese et al. · Frontiers in Oncology · 2021 · 27 citations · Full text

Medicine, Oncology, Surgery +17

Relationship between the overall survival in glioblastomas and the radiomic features of intraoperative ultrasound: a feasibility study

Santiago Cepeda, Sergio García-García, Ignacio Arrese et al. · Journal of Ultrasound · 2021 · 14 citations · Full text

Medicine, Neurosurgery, Oncology +17