Eduardo Juarez

Associate Professor

Universidad Politécnica de Madrid

Spain

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About

Eduardo Juarez is an Associate Professor at Universidad Politécnica de Madrid, Spain. His research focuses on advanced methodologies in neurosurgery, integrating predictive modeling, hyperspectral imaging, and machine learning techniques. Recent publications highlight his work on brain cancer classification, augmented reality systems for surgical procedures, and innovative approaches to depth sensing in medical applications.

Articles (9)

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2025

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2025

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2025

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2025

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2025

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2024

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2023

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2021

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2021

Collaborators (8)

Alejandro Martinez de Ternero

Universidad Politécnica de Madrid

SPAIN

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CESAR SANZ ALVARO

Universidad Politécnica de Madrid

SPAIN

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Manuel Villa Romero

Universidad Politécnica de Madrid

SPAIN

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Alfonso Lagares

Associate Professor Neurosurgery

Universidad Complutense de Madrid Facultad de Medicina

SPAIN

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Ruben Salvador

Universidad Politécnica de Madrid

SPAIN

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MIGUEL CHAVARRIAS LAPASTORA

Universidad Politécnica de Madrid

SPAIN

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Gustavo Callico

Catedrático de Universidad / Full Professor

Universidad de Las Palmas de Gran Canaria

SPAIN

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Gauthier Lafruit

Université libre de Bruxelles (ULB)

BELGIUM

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Eduardo Juarez

Research Interests

Explore related searches

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About

Articles (9)

Comprehensive predictive modeling in subarachnoid hemorrhage: integrating radiomics and clinical variables

Benchmarking commercial depth sensors for intraoperative markerless registration in neurosurgery applications

DA4NeRF: Depth-aware Augmentation technique for Neural Radiance Fields

Unifying Heterogeneous Hyperspectral Databases for In-Vivo Human Brain Cancer Classification: Towards Robust Algorithm Development

Roadmap for the Characterization and Validation of Hyperspectral Microscopic Systems

HyperMRI: hyperspectral and magnetic resonance fusion methodology for neurosurgery applications

SLIMBRAIN: Augmented reality real-time acquisition and processing system for hyperspectral classification mapping with depth information for in-vivo surgical procedures

GoRG: Towards a GPU-Accelerated Multiview Hyperspectral Depth Estimation Tool for Medical Applications

Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification

Collaborators (8)

Alejandro Martinez de Ternero

CESAR SANZ ALVARO

Manuel Villa Romero

Alfonso Lagares

Ruben Salvador

MIGUEL CHAVARRIAS LAPASTORA

Gustavo Callico

Gauthier Lafruit

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