Deep Bayesian Blind Color Deconvolution of Histological Images. - Shuowen Yang; Fernando Pérez-Bueno; Francisco M. Castro-Macías; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2023)

Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. - Yunan Wu; Francisco M. Castro-Macías; Pablo Morales-Álvarez; Rafael Molina 001; Aggelos K. Katsaggelos (MICCAI (5), 2023)

Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior. - Francisco M. Castro-Macías; Fernando Pérez-Bueno; Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 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 001; Aggelos K. Katsaggelos (ISBI, 2024)

Sm: enhanced localization in Multiple Instance Learning for medical imaging classification. - Francisco M. Castro-Macías; Pablo Morales-Alvarez; Yunan Wu; Rafael Molina 001; Aggelos K. Katsaggelos (NeurIPS, 2024)

Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. - Francisco M. Castro-Macías; Pablo Morales-Álvarez; Yunan Wu; Rafael Molina 001; Aggelos K. Katsaggelos (Artif. Intell., 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 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2024)

Probabilistic smooth attention for deep multiple instance learning in medical imaging. - Francisco M. Castro-Macías; Pablo Morales-Álvarez; Yunan Wu; Rafael Molina 001; Aggelos K. Katsaggelos (Pattern Recognit., 2026)