Author

David Corral Fontecha

3 papers indexed here

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#diffusion models Open access Sep 2026

Generative synthesis of high-fidelity pathological brain MRI via label-conditioned latent diffusion

The synthesis of high-fidelity brain Magnetic Resonance Imaging (MRI) is essential for addressing data scarcity and privacy constraints in medical research. In this study, we present a Latent Diffusion Model (LDM) for conditional MRI generation, operating in a compressed latent space to optimize computational efficienc...

Miguel Herencia García del Castillo, F. Alfano, Manuel Jesús Cerezo Mazón et al. · Scientific Reports · 0 citations

#artificial intelligence Preprint Sep 2026

A Voxel-Spacing-Aware Extension of PyRadiomics for Anisotropic Texture Analysis

A voxel-spacing-aware extension of PyRadiomics that incorporates spacing information without generating interpolated gray levels is implemented and validated, providing a backward-compatible technical basis for future evaluation of spacing-aware radiomics in heterogeneous medical imaging datasets.

David Corral Fontecha, J. M. Bautista, P. Fernández-Miranda et al. · 0 citations

#artificial intelligence Jul 2026

Physically Aware Radiomics Without Interpolation: Disentangling Voxel Geometry and Signal Modification in CT and MRI

Voxel-spacing-aware extraction separates geometric modeling from interpolation-induced signal modification while preserving the native image signal, offering a coherent alternative to isotropic resampling for radiomic analysis of anisotropic CT and MRI.

David Corral Fontecha, J. M. Bautista, P. Fernández-Miranda et al. · arXiv.org · 0 citations