Publications

2025

  1. PR
    Probabilistic smooth attention for deep multiple instance learning in medical imaging
    Francisco M Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, and 2 more authors
    Pattern Recognition, 2025

2024

  1. AIJ
    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, and 2 more authors
    Artificial Intelligence, 2024
  2. Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
    Francisco M Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, and 2 more authors
    Advances in Neural Information Processing Systems, 2024
  3. DSP
    BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution
    Shuowen Yang, Fernando Perez-Bueno, Francisco M Castro-Macias, and 2 more authors
    Digital Signal Processing, 2024
  4. ICIP
    Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior
    Francisco M Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, and 3 more authors
    In 2024 IEEE International Conference on Image Processing (ICIP), 2024
  5. ISBI
    Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior
    Francisco M Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, and 3 more authors
    In 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024

2023

  1. MICCAI
    Smooth attention for deep multiple instance learning: Application to ct intracranial hemorrhage detection
    Yunan Wu, Francisco M Castro-Macías, Pablo Morales-Álvarez, and 2 more authors
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023
  2. ICIP
    Deep Bayesian blind color deconvolution of histological images
    Shuowen Yang, Fernando Pérez-Bueno, Francisco M Castro-Macías, and 2 more authors
    In 2023 IEEE International Conference on Image Processing (ICIP), 2023

2022

  1. MSc. Thesis
    Gaussian processes for multiple instance learning problems. Application to the detection of intracranial haemorrhages.
    Francisco M Castro-Macías
    MSc. Thesis, University of Granada, Spain, 2022

2021

  1. BSc. Thesis
    Fundamentals of Deep Learning and development of a Federated Learning model for the diagnosis of COVID-19 based on chest X-rays
    Francisco M Castro-Macías
    BSc. Thesis, University of Granada, Spain, 2021