UGR
  |
> >
Visual Information Processing
(Ref. TIC-116)
02
junio
2026
junio 2026
<- ->
L M X J V S D
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30

Producción científica

Buscar por:



Lista de artículos

Publicación
M. López Pérez, P. Morales Álvarez, L. A.d. Cooper, C. Felicelli, J. Goldstein, B. Vadasz, R. Molina Soriano and A. K Katsaggelos,  "Learning from crowds for automated histopathological image segmentation", "Computerized Medical Imaging and Graphics" , -, 2024
A. Schmidt, P. Morales Álvarez, L. A.d. Cooper, L. A Newberg, A. Enquobahrie, R. Molina Soriano and A. K Katsaggelos,  "Focused active learning for histopathological image classification", "Medical Image Analysis" , -, 2024
Z. Tabatabaei, F. Pérez Bueno, A. Colomer, J. Oliver-Moll, R. Molina Soriano and V. Naranjo,  "Advancing Content-Based Histopathological Image Retrieval Pre-Processing: A Comparative Analysis of the Effects of Color Normalization Techniques", "Applied Sciences" , -, 2024
P. Morales Álvarez, A. Schmidt, J.M. Hernández-Lobato and R. Molina Soriano,  "Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images", "Pattern recognition" , -, 2024
F. Pérez Bueno, K. Engan and R. Molina Soriano,  "Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD", "Artificial Intelligence in Medicine" , vol.156, -, 2024
J. Pérez-Cano, Y. Wu, A. Schmidt, M. López Pérez, P. Morales Álvarez, R. Molina Soriano and A. K Katsaggelos,  "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" , -, 2024
M. López Pérez, A. Morquecho Delgado, A. Schmidt, F. Pérez Bueno, A. Martín Castro, J. Mateos Delgado and R. Molina Soriano,  "The CrowdGleason dataset: learning the Gleason grade from crowds and experts", "Computer Methods and Programs in Biomedicine" , vol.257, 108472-, 2024
R. Molina Soriano "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" , -, 2024

Última actualización del SICA: 25/03/2026

Desarrollado por: