RAFAEL
MOLINA SORIANO
CATEDRÁTICO DE UNIVERSIDAD
Publications (315) Publications de RAFAEL MOLINA SORIANO
2024
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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
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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
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Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images
Computerized Medical Imaging and Graphics, Vol. 112
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BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution
Digital Signal Processing: A Review Journal, Vol. 145
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Focused active learning for histopathological image classification
Medical Image Analysis, Vol. 95
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Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection
Artificial Intelligence, Vol. 331
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Learning from crowds for automated histopathological image segmentation
Computerized Medical Imaging and Graphics, Vol. 112
2023
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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)
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Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset
Artificial Intelligence in Medicine, Vol. 145
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Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Deep Bayesian Blind Color Deconvolution of Histological Images
Proceedings - International Conference on Image Processing, ICIP
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Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification
IEEE Access, Vol. 11, pp. 6922-6934
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Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse
Proceedings - International Conference on Image Processing, ICIP
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Learning Moore-Penrose based residuals for robust non-blind image deconvolution
Digital Signal Processing: A Review Journal, Vol. 142
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Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning
IEEE Transactions on Neural Networks and Learning Systems
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Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation
Proceedings of the IEEE International Conference on Computer Vision
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Probabilistic fusion of crowds and experts for the search of gravitational waves
Knowledge-Based Systems, Vol. 261
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Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022
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Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification
Computerized Medical Imaging and Graphics, Vol. 97
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Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection
Computer Methods and Programs in Biomedicine, Vol. 219