| The devil is in the details: Whole slide image acquisition and processing for artifacts detection, color variation, and data augmentation: A review N Kanwal, F Pérez-Bueno, A Schmidt, K Engan, R Molina Ieee Access 10, 58821-58844, 2022 | 53 | 2022 |
| Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference F Pérez-Bueno, M Vega, MA Sales, J Aneiros-Fernández, V Naranjo, ... Computer Methods and Programs in Biomedicine 211, 106453, 2021 | 25 | 2021 |
| A TV-based image processing framework for blind color deconvolution and classification of histological images F Pérez-Bueno, M López-Pérez, M Vega, J Mateos, V Naranjo, R Molina, ... Digital Signal Processing 101, 102727, 2020 | 18 | 2020 |
| Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification F Pérez-Bueno, JG Serra, M Vega, J Mateos, R Molina, AK Katsaggelos Computerized Medical Imaging and Graphics 97, 102048, 2022 | 15 | 2022 |
| Leveraging a probabilistic PCA model to understand the multivariate statistical network monitoring framework for network security anomaly detection F Pérez-Bueno, L García, G Maciá-Fernández, R Molina IEEE/ACM Transactions on Networking 30 (3), 1217-1229, 2022 | 8 | 2022 |
| Super Gaussian priors for blind color deconvolution of histological images F Pérez-Bueno, M Vega, V Naranjo, R Molina, AK Katsaggelos 2020 IEEE International Conference on Image Processing (ICIP), 3010-3014, 2020 | 4 | 2020 |
| Guía Interactiva de Autoaprendizaje de SPSS. versión 4.1 AM Lara Porras, Y Román Montoya, F Pérez Bueno Proyecto Sur Ediciones, 2012 | 4 | 2012 |
| Fully automatic blind color deconvolution of histological images using super Gaussians F Pérez-Bueno, M Vega, V Naranjo, R Molina, AK Katsaggelos 2020 28th European Signal Processing Conference (EUSIPCO), 1254-1258, 2021 | 3 | 2021 |
| Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors F Pérez-Bueno, M Vega, J Mateos, R Molina, AK Katsaggelos Sensors 20 (18), 5308, 2020 | 2 | 2020 |
| BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution S Yang, F Pérez-Bueno, FM Castro-Macías, R Molina, AK Katsaggelos Digital Signal Processing 145, 104318, 2024 | 1 | 2024 |
| Deep Bayesian blind color deconvolution of histological images S Yang, F Pérez-Bueno, FM Castro-Macías, R Molina, AK Katsaggelos 2023 IEEE International Conference on Image Processing (ICIP), 710-714, 2023 | 1 | 2023 |
| Advancing Content-Based Histopathological Image Retrieval Pre-Processing: A Comparative Analysis of the Effects of Color Normalization Techniques Z Tabatabaei, F Pérez Bueno, A Colomer, JO Moll, R Molina, V Naranjo Applied Sciences 14 (5), 2063, 2024 | | 2024 |
| A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images F Pérez-Bueno, K Engan, R Molina International Conference on Artificial Intelligence in Medicine, 207-217, 2023 | | 2023 |
| Enhancement, Classification and Interpretation of Cancer Histological Images using Probabilistic Models F Pérez Bueno Universidad de Granada, 2023 | | 2023 |
| Robust Blind Color Deconvolution and Blood Detection on Histological Images Using Bayesian K-Svd F Pérez-Bueno, K Engan, R Molina Available at SSRN 4618357, 0 | | |
Rafael MolinaProfessor of Computer Science, University of Granada在 decsai.ugr.es 的电子邮件经过验证
