Publications (326) RAFAEL MOLINA SORIANO publications View referenced research data.

filter_list

2026

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

    Pattern Recognition, Vol. 171

2025

  1. A fusocelular skin dataset with whole slide images for deep learning models

    Scientific Data , Vol. 12, Núm. 1

  2. LCNet: Lightweight Cycle Network Driven by Physical and Deep Prior for Compressed Sensing

    IEEE Transactions on Multimedia, Vol. 27, pp. 6422-6433

  3. Spatially-Aware Loss Functions for GAN-Driven Super-Resolution

    IEEE Access, Vol. 13, pp. 108561-108572

  4. Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning

    IEEE Access, Vol. 13, pp. 133351-133369

2024

  1. Advancing Content-Based Histopathological Image Retrieval Pre-Processing: A Comparative Analysis of the Effects of Color Normalization Techniques

    Applied Sciences (Switzerland), Vol. 14, Núm. 5

  2. An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection

    Expert Systems with Applications, Vol. 240

  3. Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images

    Computerized Medical Imaging and Graphics, Vol. 112

  4. BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution

    Digital Signal Processing: A Review Journal, Vol. 145

  5. Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior

    Proceedings - International Conference on Image Processing, ICIP

  6. Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior

    Proceedings - International Symposium on Biomedical Imaging

  7. Focused active learning for histopathological image classification

    Medical Image Analysis, Vol. 95

  8. Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection

    Artificial Intelligence, Vol. 331

  9. Learning from crowds for automated histopathological image segmentation

    Computerized Medical Imaging and Graphics, Vol. 112

  10. Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 35, Núm. 8, pp. 10909-10922

  11. Real-Time Lightweight Video Super-Resolution With RRED-Based Perceptual Constraint

    IEEE Transactions on Circuits and Systems for Video Technology, Vol. 34, Núm. 10, pp. 10310-10325

  12. Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD

    Artificial Intelligence in Medicine, Vol. 156

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

    Advances in Neural Information Processing Systems

  14. The CrowdGleason dataset: Learning the Gleason grade from crowds and experts

    Computer Methods and Programs in Biomedicine, Vol. 257

2023

  1. A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)