Carlos Alberola-Lopez

Full Professor

Universidad de Valladolid

Spain

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Carlos Alberola-Lopez is a Full Professor at Universidad de Valladolid in Spain. His research spans various domains, including diffusion magnetic resonance imaging, MRI reconstruction techniques, and deep learning applications in ADHD diagnosis. Recent publications highlight his contributions to both theoretical frameworks and practical implementations in medical imaging and analysis.

Articles (13)

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2025

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2021

Collaborators (7)

Marcos Martin-Fernandez

Full Professor

Universidad de Valladolid

SPAIN

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Eduardo Gómez-Sánchez

Professor

Universidad de Valladolid

SPAIN

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Rene Botnar

King’s College London

UNITED KINGDOM

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Pablo Casaseca-de-la-Higuera

Universidad de Valladolid

SPAIN

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Antonio Tristán-Vega

Profesor Contratado Doctor (Interino)

Universidad de Valladolid

SPAIN

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Miguel L. Bote-Lorenzo

Associate Professor

Universidad de Valladolid

SPAIN

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Rodrigo de Luis Garcia

Universidad de Valladolid

SPAIN

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Carlos Alberola-Lopez

Research Interests

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About

Articles (13)

Sampling of non‐Gaussian Ensemble Average Propagators for the simulation of diffusion magnetic resonance images

Multi-Device Parallel MRI Reconstruction: Efficient Partitioning for Undersampled 5D Cardiac CINE

Computing thickness of irregularly-shaped thin walls using a locally semi-implicit scheme with extrapolation to solve the Laplace equation: Application to the right ventricle

Diffusion sampling schemes: A generalized methodology with nongeometric criteria

Convolution-based free-form deformation for multimodal groupwise registration

Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups

KomaMRI.jl: An open‐source framework for general MRI simulations with GPU acceleration

Efficient convolution-based pairwise elastic image registration on three multimodal similarity metrics

Synthetic MRI improves radiomics‐based glioblastoma survival prediction

Cerebral White Matter Connectivity in Adolescent Idiopathic Scoliosis: A Diffusion Magnetic Resonance Imaging Study

Magnetic Resonance Simulation in Education: Quantitative Evaluation of an Actual Classroom Experience

A deep learning approach for synthetic MRI based on two routine sequences and training with synthetic data

A clinically viable vendor-independent and device-agnostic solution for accelerated cardiac MRI reconstruction

Collaborators (7)

Marcos Martin-Fernandez

Eduardo Gómez-Sánchez

Rene Botnar

Pablo Casaseca-de-la-Higuera

Antonio Tristán-Vega

Miguel L. Bote-Lorenzo

Rodrigo de Luis Garcia

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