Francisco M. Castro-Macías

According to our database, Francisco M. Castro-Macías authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Conditional Diffusion Sampling.

Francisco M. Castro-Macías, Pablo Morales-Álvarez, Saifuddin Syed, Daniel Hernández-Lobato, Rafael Molina, José Miguel Hernández-Lobato

CoRR, May, 2026

Probabilistic smooth attention for deep multiple instance learning in medical imaging.

Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos

Pattern Recognit., 2026

Torchmil: A PyTorch-based library for deep multiple instance learning.

Francisco M. Castro-Macías, Francisco Javier Sáez-Maldonado, Pablo Morales-Álvarez, Rafael Molina

Neurocomputing, 2026

2025

Deep Sparse Prior: Enhancing Deblurring Deep Priors with Sparsity Constraints.

Francisco M. Castro-Macías, Miguel Vega, Rafael Molina

Proceedings of the 2025 IEEE International Conference on Image Processing, ICIP 2025, 2025

Deep Bayesian Blind Color Deconvolution Using a Gaussian Scale Mixture Prior.

Francisco M. Castro-Macías, Miguel Vega, Fernando Pérez-Bueno, Rafael Molina, Aggelos K. Katsaggelos

Proceedings of the 33rd European Signal Processing Conference, 2025

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, Aggelos K. Katsaggelos

Digit. Signal Process., 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, Aggelos K. Katsaggelos

Artif. Intell., 2024

Sm: enhanced localization in Multiple Instance Learning for medical imaging classification.

Francisco M. Castro-Macías, Pablo Morales-Alvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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, Aggelos K. Katsaggelos

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior.

Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos

Proceedings of the IEEE International Conference on Image Processing, 2024

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, Aggelos K. Katsaggelos

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Deep Bayesian Blind Color Deconvolution of Histological Images.

Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos

Proceedings of the IEEE International Conference on Image Processing, 2023