UGR
  |
> >
Visual Information Processing
(Ref. TIC-116)
21
noviembre
2024
noviembre 2024
<- ->
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
J. Silva-Rodríguez, A. Schmidt, M.A. Sales, R. Molina Soriano and V. Naranjo,  "Proportion constrained weakly supervised histopathology image classification", "Computers in Biology and Medicine" , vol.147, 105714-105714, 2022
A. Schmidt, J. Silva -Rodríguez, R. Molina Soriano and V. Naranjo,  "Coupling Semi-Supervised and Multiple Instance Learning for Histopathological Image Classification", "IEEE Access" , vol.10, 9763-9773, 2022
S. López, R. Molina Soriano and A.K. Katsaggelos ,  "Deep learning approaches to inverse problems in imaging: Past, present and future", "Digital Signal Processing" , vol.119, -, 2021
F. Pérez Bueno, M. Vega López, M.A. Sales, , V. Naranjo-Olmedo, R. Molina Soriano and A.K. Katsaggelos ,  "Blind Color Deconvolution, Normalization, and Classification of Histological Images using General Super Gaussian Priors and Bayesian Inference", "Computer Methods and Programs in Biomedicine" , vol.211, 106453-106453, 2021
M. López Pérez, P. Morales Álvarez, P. Ruiz-Matarán and R. Molina Soriano,  "Learning from crowds in digital pathology using scalable variational Gaussian processes", "Scientific Reports" , vol.11, -, 2021
J. Silva, A. Colomer, M.A. Sales, R. Molina Soriano and V. Naranjo,  "Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection", "Computer Methods and Programs in Biomedicine" , vol.195, -, 2020
M. López Pérez, L. García Martínez, M.D.C. Benitez Ortúzar and R. Molina Soriano,  "A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes", "IEEE Transactions on Geoscience and Remote Sensing" , -, 2020
P. Morales Álvarez, P. Ruiz-Matarán, S. Coughlin, R. Molina Soriano and A. Katsaggelos,  "Scalable Variational Gaussian Processes for Crowdsourcing:Glitch Detection in LIGO", "IEEE Transactions on Pattern Analysis and Machine Intelligence" , -, 2020

Última actualización del SICA: 10/01/2024

Desarrollado por: