Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians. - Fernando Pérez-Bueno; Miguel Vega; Valery Naranjo; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2020)

Super Gaussian Priors for Blind Color Deconvolution of Histological Images. - Fernando Pérez-Bueno; Miguel Vega; Valery Naranjo; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2020)

A TV-based image processing framework for blind color deconvolution and classification of histological images. - Fernando Pérez-Bueno; Miguel López-Pérez; Miguel Vega; Javier Mateos; Valery Naranjo; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2020)

Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors. - Fernando Pérez-Bueno; Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (Sensors, 2020)

Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. - Fernando Pérez-Bueno; Miguel Vega; María Á. Sales; José Aneiros-Fernández; Valery Naranjo; Rafael Molina 001; Aggelos K. Katsaggelos (Comput. Methods Programs Biomed., 2021)

The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review. - Neel Kanwal; Fernando Pérez-Bueno; Arne Schmidt 005; Kjersti Engan; Rafael Molina 001 (IEEE Access, 2022)

Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification. - Fernando Pérez-Bueno; Juan G. Serra; Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (Comput. Medical Imaging Graph., 2022)

Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection. - Fernando Pérez-Bueno; Luz García 001; Gabriel Maciá-Fernández; Rafael Molina 001 (IEEE/ACM Trans. Netw., 2022)

A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. - Fernando Pérez-Bueno; Kjersti Engan; Rafael Molina 001 (AIME, 2023)

Deep Bayesian Blind Color Deconvolution of Histological Images. - Shuowen Yang; Fernando Pérez-Bueno; Francisco M. Castro-Macías; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2023)

Practicas Jupyter para Extracción de Carácteristicas en Imágenes (Master DATCOM 21/22). - Fernando Pérez-Bueno; Rafael Molina Soriano (Zenodo, 2023)

Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior. - Francisco M. Castro-Macías; Fernando Pérez-Bueno; Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2024)

Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior. - Francisco M. Castro-Macías; Fernando Pérez-Bueno; Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ISBI, 2024)

Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD. - Fernando Pérez-Bueno; Kjersti Engan; Rafael Molina 001 (Artif. Intell. Medicine, 2024)

The CrowdGleason dataset: Learning the Gleason grade from crowds and experts. - Miguel López-Pérez; Alba Morquecho; Arne Schmidt 005; Fernando Pérez-Bueno; Aurelio Martín-Castro; Javier Mateos; Rafael Molina 001 (Comput. Methods Programs Biomed., 2024)

TV-based Deep 3D Self Super-Resolution for fMRI. - Fernando Pérez-Bueno; Hongwei Bran Li; Shahin Nasr; César Caballero-Gaudes; Juan Eugenio Iglesias (CoRR, 2024)

BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution. - Shuowen Yang; Fernando Pérez-Bueno; Francisco M. Castro-Macías; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2024)

A Blood Dataset from Camelyon 17. - Fernando Pérez-Bueno; Kjersti Engan; Rafael Molina Soriano (Zenodo, 2024)

The CrowdGleason dataset: learning the Gleason grade from crowds and experts. - Miguel López-Pérez; Alba Morquecho; Arne Schmidt 005; Fernando Pérez-Bueno; Aurelio Martín-Castro; Javier Mateos; Rafael Molina 001 (Zenodo, 2024)

TV-Based Deep 3D Self Super-Resolution for FMRI. - Fernando Pérez-Bueno; Hongwei B. Li; Shahin Nasr; César Caballero-Gaudes; Juan Eugenio Iglesias (ISBI, 2025)