Publikationen, an denen er mitarbeitet Ignacio Arrese (41)

2024

  1. A Fully Automated Pipeline Using Swin Transformers for Deep Learning-Based Blood Segmentation on Head Computed Tomography Scans After Aneurysmal Subarachnoid Hemorrhage

    World Neurosurgery, Vol. 190, pp. e762-e773

  2. Integrating endovascular techniques into established open neurosurgery practice: a temporal analysis of treatment evolution in a dual-trained neurosurgical unit

    Neurocirugia, Vol. 35, Núm. 6, pp. 281-288

  3. Mortality Prediction of Patients with Subarachnoid Hemorrhage Using a Deep Learning Model Based on an Initial Brain CT Scan

    Brain Sciences, Vol. 14, Núm. 1

  4. Non-navigated 2D intraoperative ultrasound: An unsophisticated surgical tool to achieve high standards of care in glioma surgery

    Journal of Neuro-Oncology, Vol. 167, Núm. 3, pp. 387-396

2023

  1. Appreciation and Concerns Regarding the Published Study "CURES"

    AJNR. American journal of neuroradiology

  2. Posterior cervical triangle approach for carotid endarterectomy: Technical note and results

    Neurocirugia, Vol. 34, Núm. 2, pp. 75-79

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

    Cancers, Vol. 15, Núm. 6

  4. The Río Hortega University Hospital Glioblastoma dataset: A comprehensive collection of preoperative, early postoperative and recurrence MRI scans (RHUH-GBM)

    Data in Brief

2022

  1. Advantages and Limitations of Intraoperative Ultrasound Strain Elastography Applied in Brain Tumor Surgery: A Single-Center Experience

    Operative neurosurgery (Hagerstown, Md.), Vol. 22, Núm. 5, pp. 305-314

  2. Brain dural arteriovenous fistulas in the COVID-19 Era: A warning and rationale for association

    Clinical Neurology and Neurosurgery, Vol. 220

  3. Current Evidence, Limitations and Future Challenges of Survival Prediction for Glioblastoma Based on Advanced Noninvasive Methods: A Narrative Review

    Medicina (Lithuania), Vol. 58, Núm. 12

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

    Journal of Ultrasound, Vol. 25, Núm. 1, pp. 121-128

  5. Treatment of unruptured middle cerebral artery aneurysms: Systematic review in an attempt to perform a network meta-analysis

    Frontiers in Surgery, Vol. 9

  6. Validation of Presurgical Simulation of White Matter Damage Using Diffusion Tensor Imaging

    World Neurosurgery, Vol. 167, pp. e846-e857

2021

  1. Acute changes in diffusion tensor-derived metrics and its correlation with the motor outcome in gliomas adjacent to the corticospinal tract

    Surgical Neurology International, Vol. 12

  2. Differential Ca2+ responses and store operated Ca2+ entry in primary cells from human brain tumors

    Biochimica et Biophysica Acta - Molecular Cell Research, Vol. 1868, Núm. 8

  3. Extradural anterior clinoidectomy through endoscopic transorbital approach: laboratory investigation for surgical perspective

    Acta Neurochirurgica, Vol. 163, Núm. 8, pp. 2177-2188

  4. Is there a relationship between the elasticity of brain tumors, changes in diffusion tensor imaging, and histological findings? A pilot study using intraoperative ultrasound elastography

    Brain Sciences, Vol. 11, Núm. 2, pp. 1-13

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

    World Neurosurgery, Vol. 146, pp. e1147-e1159

  6. Predicting short-term survival after gross total or near total resection in glioblastomas by machine learning-based radiomic analysis of preoperative mri

    Cancers, Vol. 13, Núm. 20