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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
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F.M. Castro Macías, P. Morales Álvarez, Y. Wu, R. Molina Soriano
and
A. K Katsaggelos,
"Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection", Artificial Intelligence
, -, 2024
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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
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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
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X. Wu, S. López, X. Wang, R. Molina Soriano
and
A. K Katsaggelos,
"Real-Time Lightweight Video Super-Resolution with RRED-based Perceptual Constraint", IEEE Transactions on Circuits and Systems for Video Technology
, -, 2024
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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
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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
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F. Pérez Bueno, K. Engan
and
R. Molina Soriano,
"A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H&E Histological Images", "Artificial Intelligence in Medicine", None-None, 2023
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Última actualización del SICA: 25/03/2026