Fernando Pérez-Bueno

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Histological Images

Top Venues

Digit. Signal Process.

Publications

Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos
BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution. Digit. Signal Process. 145 (2024)
Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos
Deep Bayesian Blind Color Deconvolution of Histological Images. ICIP (2023)
Fernando Pérez-Bueno, Luz García, Gabriel Maciá-Fernández, Rafael Molina
Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection. CoRR (2023)
Fernando Pérez-Bueno, Kjersti Engan, Rafael Molina
A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. AIME (2023)
Neel Kanwal, Fernando Pérez-Bueno, Arne Schmidt, Kjersti Engan, Rafael Molina
The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review. IEEE Access 10 (2022)
Fernando Pérez-Bueno, Juan G. Serra, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification. Comput. Medical Imaging Graph. 97 (2022)
Fernando Pérez-Bueno, Luz García, Gabriel Maciá-Fernández, Rafael Molina
Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection. IEEE/ACM Trans. Netw. 30 (3) (2022)
Fernando Pérez-Bueno, Miguel Vega, María Á. Sales, José Aneiros-Fernández, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. Comput. Methods Programs Biomed. 211 (2021)
Fernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
Super Gaussian Priors for Blind Color Deconvolution of Histological Images. ICIP (2020)
Fernando Pérez-Bueno, Miguel López-Pérez, Miguel Vega, Javier Mateos, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
A TV-based image processing framework for blind color deconvolution and classification of histological images. Digit. Signal Process. 101 (2020)
Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors. Sensors 20 (18) (2020)
Fernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians. EUSIPCO (2020)