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Profil bibliographique

Luca Regli

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

768Publications signalées
16605Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Intracranial Aneurysms: Treatment and ComplicationsGlioma Diagnosis and TreatmentCerebrovascular and Carotid Artery DiseasesMeningioma and schwannoma managementTraumatic Brain Injury and Neurovascular Disturbances

Les publications récentes

Accès ouvert 2026 article OpenAlex

Intraoperative MRI in pediatric brain tumor surgery: Optimizing surgical decision-making and extent of resection

Jennifer To, Timothy Müller, Oliver Bozinov, Luca Regli et autres

OBJECTIVE: To assess the impact of intraoperative MRI (ioMRI) on the extent of resection (EoR) in pediatric brain tumor surgery and evaluate the benefits and limitations of its routine implementation. METHODS: Observational single-center study, including prospectively collected data of 118 ioMRI-guided intracranial …

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0 citations Child s Nervous System
Accès ouvert 2026 review OpenAlex

Advances in hypoxia-modulated blood oxygen level-dependent MRI: a narrative review of physiological principles and applications for glioblastoma imaging

Tristan Schmidlechner, Vittorio Stumpo, Elisabeth Jehli, Leonie Zerweck et autres

Glioma imaging remains constrained by the limited ability of conventional MRI to capture biologically relevant tumor features beyond blood-brain barrier disruption. Hypoxia-modulated blood oxygen level-dependent (BOLD) MRI has emerged as a potential contrast-agent-free approach to probe oxygenation-related tumor physiology, using deoxyhemoglobin as …

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0 citations Magnetic Resonance Materials in Physics Biology and Medicine
Accès ouvert 2026 article OpenAlex

Smartphone-Based Monitoring of Quality of Life and Adverse Events After Neurosurgery: Prospective Cohort Study

Alexis Paul Romain Terrapon, Erik Schulz, Athina Firtinidou, Silvio A. Heinig et autres

Background: Postoperative outcome assessment is often based on discrete follow-up visits, limiting characterization of individual recovery trajectories, and the timely identification of adverse events (AEs). Longitudinal smartphone-based monitoring may overcome these limitations by enabling frequent, resource-efficient collection of patient-reported outcomes and complications …

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0 citations Journal of Medical Internet Research
Accès ouvert 2026 article OpenAlex

Development of a Placenta-Based Microsurgical Training Model for Vestibular Schwannoma Resection

Marco Galeazzi, Clarissa Ann Elisabeth Gelmi, Elisa Colombo, Schirin Rahiminia et autres

BACKGROUND: Vestibular schwannoma resection is among the most technically demanding procedures in neurosurgery. Reduced operative exposure during residency has increased the need for realistic and accessible simulation models. METHODS: A training model was created by combining human placenta with a 3D-printed retrosigmoid …

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0 citations World Neurosurgery
Accès ouvert 2026 article OpenAlex

Hypoxia-targeted BOLD MRI signal heterogeneity as a complementary metric for glioblastoma characterization: a pilot study

Leonie Zerweck, Tristan Schmidlechner, Vittorio Stumpo, Elisabeth Jehli et autres

PURPOSE: Hypoxia-targeted blood oxygen level-dependent (BOLD) MRI is an emerging non-contrast imaging technique for characterizing tumor biology in isocitrate dehydrogenase-wildtype glioblastoma. Beyond the magnitude of BOLD signal changes, signal heterogeneity may provide valuable information about tumor aggressiveness and microenvironmental complexity. The aim …

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0 citations Journal of Neuro-Oncology
Accès ouvert 2026 article OpenAlex

Automated deep learning–based segmentation and volumetric analysis of meningiomas

Daniel de Wilde, Olivier Zanier, Aron Alakmeh, Stefanos Voglis et autres

INTRODUCTION: Meningiomas are the most common primary intracranial tumors and are frequently monitored over extended periods. Volumetric assessment typically requires manual segmentation, which is time-consuming and associated with interrater variability. This study aimed to develop and validate a deep learning-based model for …

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0 citations Neuroradiology
Accès ouvert 2026 article OpenAlex

External validation of a machine learning-based web application for personalized testing of objective functioning using the five-repetition sit-to-stand test

Kenneth Arockia, Massimo Bottini, Anita Maria Klukowska, Victor Gabriel El-Hajj et autres

PURPOSE: Simple generalized thresholds for assessing functional impairment in clinical testing are limited, as they fail to consider patient-specific properties such as age, body height, and body mass index. A previously developed machine learning-based model for personalized testing using the five-repetition sit-to-stand …

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0 citations Acta Neurochirurgica
Accès ouvert 2026 article OpenAlex

Evaluation metrics for synthetic medical imaging

Daniel de Wilde, Benjamin Schärli, Kym Ackermann, Massimo Bottini et autres

BACKGROUND: Advances in generative artificial intelligence (AI) have accelerated the development and application of synthetic medical imaging. Despite this rapid progress, the evaluation of synthetic medical images remains heterogeneous, with numerous metrics proposed to assess fidelity, realism, diversity, and clinical validity. Currently, …

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0 citations European Journal of Radiology
Accès ouvert 2026 article OpenAlex

Fully Automated Segmentation of Anatomical Subregions of the Thoracolumbar Spine on Computed Tomography

Raffaele Da Mutten, Sven Theiler, Massimo Bottini, Daniel de Wilde et autres

Segmentations of the vertebral column that include anatomical subregions can be used for patient education, pedicle screw planning, or radiomic feature extraction for spinal surgery. Deep learning has proven successful in tackling medical image segmentation; therefore, we aim to train a multiclass …

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0 citations Journal of Imaging Informatics in Medicine
Accès ouvert 2026 article OpenAlex

Beyond the Initial Ictus: Timing of WFNS Grade Assessment and Outcome Prediction in Aneurysmal Subarachnoid Hemorrhage

Sebastian L. Wyss, Jorn Fierstra, Victor Staartjes, Stefanos Voglis et autres

BACKGROUND: To identify the clinical timepoint of World Federation of Neurosurgical Societies (WFNS) grading that provides the highest prognostic accuracy for short- and long-term outcomes in aneurysmal subarachnoid hemorrhage (aSAH). METHODS: In this cohort study of 389 patients, WFNS grades were recorded …

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0 citations Neurocritical Care
Accès ouvert 2026 article OpenAlex

Cerebrospinal fluid haemoglobin as a monitoring biomarker for secondary brain injury after aneurysmal subarachnoid haemorrhage: prospective international multicentre validation study (HeMoVal)

Kevin Akeret, Raphael M. Buzzi, Thomas Gentinetta, Moritz Saxenhofer et autres

OBJECTIVES: To validate whether cerebrospinal fluid oxyhaemoglobin (CSF-Hb), measured from external ventricular or lumbar drains, is associated with secondary brain injury (SAH-SBI) after aneurysmal subarachnoid haemorrhage (aSAH) and to assess its value as a real-time monitoring biomarker. DESIGN: Pre-registered multicentre prospective observational …

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1 citation Journal of Neurology Neurosurgery & Psychiatry
Accès ouvert 2026 article OpenAlex

Single-Cell Analysis of Brain Arteriovenous Malformations Reveals Pro-Angiogenic Myeloid Programs

Benjamin M. Beyersdorf, Stefanos Voglis, Zsolt Kulcsár, Luca Regli et autres

Background/Objectives: Brain arteriovenous malformations (bAVMs) are complex cerebrovascular lesions that carry a substantial risk of intracranial hemorrhage, yet the biological mechanisms underlying vascular remodeling remain incompletely understood. As increasing evidence suggests that inflammatory processes contribute to vascular remodeling and bAVM progression, this …

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0 citations Brain Sciences

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