Producción científica
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Lista de artículos
| Publicación |
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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
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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
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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
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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
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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
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F. Pérez Bueno, M. López Pérez, M. Vega López, J. Mateos Delgado, V. Naranjo, R. Molina Soriano
and
A. Katsaggelos,
"A TV-based image processing framework for blind color deconvolution and classification of histological images", "Digital Signal Processing"
, vol.101, 102727-, 2020
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M.B. Prados Suarez, C. Molina Fernández
and
M.C. Peña Yáñez,
"Electronic Health Records Aggregators (EHRagg )", "Methods of Information in Medicine"
, vol.59, 96-103, 2020
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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
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Última actualización del SICA: 10/01/2024
mayo 2024
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