Fernando Pérez-Bueno

According to our database, Fernando Pérez-Bueno authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Aggelos K. Katsaggelos

Digit. Signal Process., 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

The CrowdGleason dataset: Learning the Gleason grade from crowds and experts.

Miguel López-Pérez, Alba Morquecho, Arne Schmidt, Fernando Pérez-Bueno, Aurelio Martín-Castro, Javier Mateos, Rafael Molina

Comput. Methods Programs Biomed., 2024

Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD.

Fernando Pérez-Bueno, Kjersti Engan, Rafael Molina

Artif. Intell. Medicine, 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, Aggelos K. Katsaggelos

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Practicas Jupyter para Extracción de Carácteristicas en Imágenes (Master DATCOM 21/22).

Fernando Pérez-Bueno, Rafael Molina Soriano

Dataset, November, 2023

Deep Bayesian Blind Color Deconvolution of Histological Images.

Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos

Proceedings of the IEEE International Conference on Image Processing, 2023

A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images.

Fernando Pérez-Bueno, Kjersti Engan, Rafael Molina

Proceedings of the Artificial Intelligence in Medicine, 2023

2022

Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection.

Fernando Pérez-Bueno, Luz García, Gabriel Maciá-Fernández, Rafael Molina

IEEE/ACM Trans. Netw., 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, Aggelos K. Katsaggelos

Comput. Medical Imaging Graph., 2022

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, Kjersti Engan, Rafael Molina

IEEE Access, 2022

2021

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, Aggelos K. Katsaggelos

Comput. Methods Programs Biomed., 2021

2020

Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors.

Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos

Sensors, 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, Aggelos K. Katsaggelos

Digit. Signal Process., 2020

Super Gaussian Priors for Blind Color Deconvolution of Histological Images.

Fernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos

Proceedings of the IEEE International Conference on Image Processing, 2020

Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians.

Fernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos

Proceedings of the 28th European Signal Processing Conference, 2020