Fernando Pérez-Bueno

Yang, S., Pérez-Bueno, F., Castro-Macías, F.M., Molina, R., & Katsaggelos, A.K. (2024). BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution. Digital Signal Processing: A Review Journal, 145. Doi:10.1016/j.dsp.2023.104318

Pérez-Bueno, F., Engan, K., & Molina, R. (2023). A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13897 LNAI, 207-217. Doi:10.1007/978-3-031-34344-5_25

Yang, S., Pérez-Bueno, F., Castro-Macías, F.M., Molina, R., & Katsaggelos, A.K. (2023). Deep Bayesian Blind Color Deconvolution of Histological Images. Proceedings - International Conference on Image Processing, ICIP, 710-714. Doi:10.1109/ICIP49359.2023.10222193

Perez-Bueno, F., Garcia, L., Macia-Fernandez, G., & Molina, R. (2022). Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection. IEEE/ACM Transactions on Networking, 30(3), 1217-1229. Doi:10.1109/TNET.2021.3138536

Pérez-Bueno, F., Serra, J.G., Vega, M., Mateos, J., Molina, R., & Katsaggelos, A.K. (2022). Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification. Computerized Medical Imaging and Graphics, 97. Doi:10.1016/j.compmedimag.2022.102048

Kanwal, N., Perez-Bueno, F., Schmidt, A., Engan, K., & Molina, R. (2022). 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. Doi:10.1109/ACCESS.2022.3176091

Pérez-Bueno, F., Vega, M., Sales, M.A., Aneiros-Fernández, J., Naranjo, V., Molina, R., & Katsaggelos, A.K. (2021). Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. Computer Methods and Programs in Biomedicine, 211. Doi:10.1016/j.cmpb.2021.106453

Pérez-Bueno, F., Vega, M., Naranjo, V., Molina, R., & Katsaggelos, A.K. (2021). Fully automatic blind color deconvolution of histological images using super gaussians. European Signal Processing Conference, 2021-January, 1254-1258. Doi:10.23919/Eusipco47968.2020.9287497

Pérez-Bueno, F., Vega, M., Mateos, J., Molina, R., & Katsaggelos, A.K. (2020). Variational Bayesian Pansharpening with super-Gaussian sparse image priors. Sensors (Switzerland), 20(18), 1-28. Doi:10.3390/s20185308

Pérez-Bueno, F., López-Pérez, M., Vega, M., Mateos, J., Naranjo, V., Molina, R., & Katsaggelos, A.K. (2020). A TV-based image processing framework for blind color deconvolution and classification of histological images. Digital Signal Processing: A Review Journal, 101. Doi:10.1016/j.dsp.2020.102727

Perez-Bueno, F., Vega, M., Naranjo, V., Molina, R., & Katsaggelos, A.K. (2020). Super Gaussian Priors for Blind Color Deconvolution of Histological Images. Proceedings - International Conference on Image Processing, ICIP, 2020-October, 3010-3014. Doi:10.1109/ICIP40778.2020.9191200