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Fernando Pérez-Bueno
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2020 – today
- 2025
[j10]Shuowen Yang
, Fernando Pérez-Bueno, Hanlin Qin
, Rafael Molina
, Aggelos K. Katsaggelos
:
LCNet: Lightweight Cycle Network Driven by Physical and Deep Prior for Compressed Sensing. IEEE Trans. Multim. 27: 6422-6433 (2025)
[c8]Francisco M. Castro-Macías, Miguel Vega, Fernando Pérez-Bueno, Rafael Molina, Aggelos K. Katsaggelos:
Deep Bayesian Blind Color Deconvolution Using a Gaussian Scale Mixture Prior. EUSIPCO 2025: 1637-1641
[c7]Fernando Pérez-Bueno, Hongwei B. Li, Shahin Nasr, César Caballero-Gaudes, Juan Eugenio Iglesias:
TV-Based Deep 3D Self Super-Resolution for FMRI. ISBI 2025: 1-5- 2024
[j9]Fernando Pérez-Bueno
, Kjersti Engan
, Rafael Molina
:
Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD. Artif. Intell. Medicine 156: 102969 (2024)
[j8]Miguel López-Pérez
, Alba Morquecho
, Arne Schmidt
, Fernando Pérez-Bueno
, Aurelio Martín-Castro
, Javier Mateos
, Rafael Molina
:
The CrowdGleason dataset: Learning the Gleason grade from crowds and experts. Comput. Methods Programs Biomed. 257: 108472 (2024)
[j7]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: 104318 (2024)
[c6]Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
:
Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior. ICIP 2024: 1500-1506
[c5]Francisco M. Castro-Macías
, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
:
Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior. ISBI 2024: 1-5
[d3]Miguel López-Pérez
, Alba Morquecho
, Arne Schmidt
, Fernando Pérez-Bueno
, Aurelio Martín-Castro, Javier Mateos
, Rafael Molina
:
The CrowdGleason dataset: learning the Gleason grade from crowds and experts. Zenodo, 2024
[d2]Fernando Pérez-Bueno
, Kjersti Engan
, Rafael Molina Soriano
:
A Blood Dataset from Camelyon 17. Zenodo, 2024
[i2]Fernando Pérez-Bueno, Hongwei Bran Li, Shahin Nasr, César Caballero-Gaudes, Juan Eugenio Iglesias:
TV-based Deep 3D Self Super-Resolution for fMRI. CoRR abs/2410.04097 (2024)- 2023
[c4]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: 207-217
[c3]Shuowen Yang, Fernando Pérez-Bueno
, Francisco M. Castro-Macías
, Rafael Molina, Aggelos K. Katsaggelos
:
Deep Bayesian Blind Color Deconvolution of Histological Images. ICIP 2023: 710-714
[d1]Fernando Pérez-Bueno
, Rafael Molina Soriano
:
Practicas Jupyter para Extracción de Carácteristicas en Imágenes (Master DATCOM 21/22). Zenodo, 2023
[i1]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 abs/2302.01759 (2023)- 2022
[j6]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: 58821-58844 (2022)
[j5]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: 102048 (2022)
[j4]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): 1217-1229 (2022)- 2021
[j3]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: 106453 (2021)- 2020
[j2]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: 102727 (2020)
[j1]Fernando Pérez-Bueno
, Miguel Vega
, Javier Mateos
, Rafael Molina
, Aggelos K. Katsaggelos
:
Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors. Sensors 20(18): 5308 (2020)
[c2]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: 1254-1258
[c1]Fernando Pérez-Bueno
, Miguel Vega, Valery Naranjo, Rafael Molina
, Aggelos K. Katsaggelos
:
Super Gaussian Priors for Blind Color Deconvolution of Histological Images. ICIP 2020: 3010-3014
Coauthor Index
aka: Rafael Molina Soriano

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