Francisco M. Castro-Macías

16 papers A* 1B 2Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Probabilistic smooth attention for deep multiple instance learning in medical imaging.
Pattern Recognit.
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2026 J jnl
Torchmil: A PyTorch-based library for deep multiple instance learning.
Neurocomputing
Francisco M. Castro-Macías, Francisco Javier Sáez-Maldonado, Pablo Morales-Álvarez, Rafael Molina
2025 — conf
Deep Bayesian Blind Color Deconvolution Using a Gaussian Scale Mixture Prior.
EUSIPCO
Francisco M. Castro-Macías, Miguel Vega, Fernando Pérez-Bueno, Rafael Molina, Aggelos K. Katsaggelos
2025 — conf
Deep Sparse Prior: Enhancing Deblurring Deep Priors with Sparsity Constraints.
ICIPW
Francisco M. Castro-Macías, Miguel Vega, Rafael Molina
2025 J jnl
Probabilistic smooth attention for deep multiple instance learning in medical imaging.
CoRR
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2025 J jnl
torchmil: A PyTorch-based library for deep Multiple Instance Learning.
CoRR
Francisco M. Castro-Macías, Francisco Javier Sáez-Maldonado, Pablo Morales-Álvarez, Rafael Molina
2024 J jnl
BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution.
Digit. Signal Process.
Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos
2024 B conf
Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior.
ICIP
Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2024 — conf
Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior.
ISBI
Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.
Artif. Intell.
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.
CoRR
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024 A* conf
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification.
NeurIPS
Francisco M. Castro-Macías, Pablo Morales-Alvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification.
CoRR
Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2023 B conf
Deep Bayesian Blind Color Deconvolution of Histological Images.
ICIP
Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos
2023 — conf
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection.
MICCAI (5)
Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
2023 J jnl
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection.
CoRR
Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos