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

Acta neurochirurgica, 2021-08, Vol.163 (8), p.2177-2188

2021

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

Journal of ultrasound, 2022-03, Vol.25 (1), p.121-128

2022

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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

Frontiers in oncology, 2021-02, Vol.10, p.590756-590756

2021

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

Medicina (Kaunas, Lithuania), 2022-11, Vol.58 (12), p.1746

2022

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

Cancers, 2021-10, Vol.13 (20), p.5047

2021

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

Data in brief, 2023-10, Vol.50, p.109617-109617, Article 109617

2023

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

Cancers, 2023-03, Vol.15 (6), p.1894

2023

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

Frontiers in surgery, 2022-09, Vol.9, p.1005602-1005602

2022

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

Brain sciences, 2024-01, Vol.14 (1), p.10

2024

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Neurological Outcome Prediction in Patients with Subarachnoid Hemorrhage Using a Model Based on Initial CT Scan, Clinical Data and Neural Networks

Brain & spine, 2023, Vol.3, p.101995, Article 101995

2023

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Machine Learning-based Identification of Local Recurrence Regions in Glioblastoma using Postoperative MRI: Implications for Survival Prognostication

Brain & spine, 2023, Vol.3, p.101960, Article 101960

2023

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Secondary Trigeminal Neuropathy and Neuralgia Resulting from Pontine Infarction

Journal of stroke and cerebrovascular diseases, 2012-05, Vol.21 (4), p.341-341

Arrese, Ignacio, MD

2012

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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, 2021-02, Vol.11 (2), p.271

2021

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Giant Posterior Communicating Artery Aneurysm Presenting as Trigeminal Neuralgia

Journal of stroke and cerebrovascular diseases, 2016-09, Vol.25 (9), p.2243-2246

2016

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Letter to the Editor. Tempering enthusiasm for new endovascular devices

Journal of neurosurgery, 2018-02, Vol.128 (2), p.655-656

2018

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Flow-Diverter Devices for Intracranial Aneurysms: Systematic Review and Meta-analysis

Neurosurgery, 2013-08, Vol.73 (2), p.193-200

2013

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

World neurosurgery, 2024-08

2024

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SURG-39. EVALUATING THE EFFECTIVENESS OF NON-NAVIGATED 2D INTRAOPERATIVE ULTRASOUND IN GLIOMA SURGERY: RECONSIDERING THE PUSH FOR MORE COMPLEX INTRAOPERATIVE IMAGING

Neuro-oncology (Charlottesville, Va.), 2023-11, Vol.25 (Supplement_5), p.v270-v270

2023

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Letter Regarding Article, “Efficacy of Flow-Diverting Devices for Cerebral Aneurysms: A Systematic Review and Meta-analysis”

World neurosurgery, 2016-10, Vol.94, p.578-578

2016

Volltextzugriff (PDF)

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

Journal of neuro-oncology, 2024-05, Vol.167 (3), p.387-396

2024

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In Reply: The Era of Flow Diverters in Aneurysm Treatment

Neurosurgery, 2014-03, Vol.74 (3), p.E342-E343

2014

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Intraoperative Ultrasonographic Elastography: A Semi-Quantitative Analysis of Brain Tumor Elasticity Patterns and Peritumoral Region

World neurosurgery, 2020-03, Vol.135, p.e258-e270

2020

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Letter: Hemorrhagic Conditions Affecting the Central Nervous System in COVID-19 Patients

Neurosurgery, 2020-09, Vol.87 (3), p.E394-E396

2020

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Microvascular decompression for trigeminal neuralgia secondary to vertebrobasilar dolichoectasia. Case report, literature review, and pooled case analysis

Neurocirugía (Asturias, Spain), 2016-11, Vol.27 (6), p.304-309

2016

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

Neurocirugía (Barcelona. Internet. English ed.), 2024-06

2024

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

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

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

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

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

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

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

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

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

Neurological Outcome Prediction in Patients with Subarachnoid Hemorrhage Using a Model Based on Initial CT Scan, Clinical Data and Neural Networks

Machine Learning-based Identification of Local Recurrence Regions in Glioblastoma using Postoperative MRI: Implications for Survival Prognostication

Secondary Trigeminal Neuropathy and Neuralgia Resulting from Pontine Infarction

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

Giant Posterior Communicating Artery Aneurysm Presenting as Trigeminal Neuralgia

Letter to the Editor. Tempering enthusiasm for new endovascular devices

Flow-Diverter Devices for Intracranial Aneurysms: Systematic Review and Meta-analysis

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

SURG-39. EVALUATING THE EFFECTIVENESS OF NON-NAVIGATED 2D INTRAOPERATIVE ULTRASOUND IN GLIOMA SURGERY: RECONSIDERING THE PUSH FOR MORE COMPLEX INTRAOPERATIVE IMAGING

Letter Regarding Article, “Efficacy of Flow-Diverting Devices for Cerebral Aneurysms: A Systematic Review and Meta-analysis”

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

In Reply: The Era of Flow Diverters in Aneurysm Treatment

Intraoperative Ultrasonographic Elastography: A Semi-Quantitative Analysis of Brain Tumor Elasticity Patterns and Peritumoral Region

Letter: Hemorrhagic Conditions Affecting the Central Nervous System in COVID-19 Patients

Microvascular decompression for trigeminal neuralgia secondary to vertebrobasilar dolichoectasia. Case report, literature review, and pooled case analysis

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

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