Listado de producción
Listando 123 resultados
| Titulo | Año | Tipo |
|---|---|---|
Leveraging a Probabilistic PCA model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection
RAFAEL MOLINA SORIANO, GABRIEL MACIÁ FERNÁNDEZ, LUZ GARCÍA MARTÍNEZ, Fernando Pérez Bueno
|
2022 | Articulo |
Coupling Semi-Supervised and Multiple Instance Learning for Histopathological Image Classification
RAFAEL MOLINA SORIANO
|
2022 | Articulo |
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ, Fernando Pérez Bueno
|
2022 | Articulo |
Deep Gaussian Processes for Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
RAFAEL MOLINA SORIANO, Miguel López Pérez
|
2022 | Articulo |
The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review
RAFAEL MOLINA SORIANO, Fernando Pérez Bueno
|
2022 | Articulo |
Proportion constrained weakly supervised histopathology image classification
RAFAEL MOLINA SORIANO
|
2022 | Articulo |
Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning
RAFAEL MOLINA SORIANO
|
2022 | Articulo |
Improvement, Classification and Interpretation of Cancer Histological Images Using Probabilistic Models
RAFAEL MOLINA SORIANO (Director), Fernando Pérez Bueno (Doctorando)
|
2022 | Tesis Doctoral |
Modelos de Aprendizaje Profundo para el Procesamiento y Clasificación de Imágenes y Vídeo
RAFAEL MOLINA SORIANO (Director)
|
2021 | Tesis Doctoral |
Desarrollo de modelos de clasificación de imágenes histológicas basados en técnicas de crowdsourcing
RAFAEL MOLINA SORIANO (Director)
|
2021 | Proyecto fin de carrera |
Blind Color Deconvolution, Normalization, and Classification of Histological Images using General Super Gaussian Priors and Bayesian Inference
RAFAEL MOLINA SORIANO, MIGUEL VEGA LÓPEZ, Fernando Pérez Bueno
|
2021 | Articulo |
Learning from crowds in digital pathology using scalable variational Gaussian processes
RAFAEL MOLINA SORIANO, Pablo Morales Álvarez, Miguel López Pérez
|
2021 | Articulo |
Deep learning approaches to inverse problems in imaging: Past, present and future
RAFAEL MOLINA SORIANO
|
2021 | Articulo |
Development of New Machine Learning Models Based on Gaussian Processes. Applications to Remote Sensing and Astrophysics
RAFAEL MOLINA SORIANO (Director)
|
2020 | Tesis Doctoral |
Scalable Variational Gaussian Processes for Crowdsourcing:Glitch Detection in LIGO
RAFAEL MOLINA SORIANO, Pablo Morales Álvarez
|
2020 | Articulo |
A TV-based image processing framework for blind color deconvolution and classification of histological images
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ, Fernando Pérez Bueno, Miguel López Pérez
|
2020 | Articulo |
A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models
RAFAEL MOLINA SORIANO
|
2020 | Articulo |
Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection
RAFAEL MOLINA SORIANO
|
2020 | Articulo |
Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion
RAFAEL MOLINA SORIANO, Pablo Morales Álvarez
|
2020 | Articulo |
Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ, Fernando Pérez Bueno
|
2020 | Articulo |
A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes
RAFAEL MOLINA SORIANO, MARIA DEL CARMEN BENITEZ ORTÚZAR, LUZ GARCÍA MARTÍNEZ, Miguel López Pérez
|
2020 | Articulo |
Parameter-free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy
RAFAEL MOLINA SORIANO
|
2020 | Articulo |
Imágenes milimétricas pasivas: procesamiento y mejora para la detección de amenazas
RAFAEL MOLINA SORIANO (Director)
|
2019 | Tesis Doctoral |
Variational EM Method for Blur Estimation using the Spike-and-Slab Image Prior
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2019 | Articulo |
Learning from crowds with variational Gaussian processes
RAFAEL MOLINA SORIANO, Pablo Morales Álvarez
|
2019 | Articulo |
A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes
RAFAEL MOLINA SORIANO, Miguel López Pérez
|
2019 | Articulo |
Variational Bayesian Blind Color Deconvolution of Histopathological Images
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2019 | Articulo |
Scalable and efficient learning from crowds with Gaussian processes
RAFAEL MOLINA SORIANO, Pablo Morales Álvarez
|
2019 | Articulo |
Image super-resolution for outdoor digital forensics. Usability and legal aspects
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2018 | Articulo |
Remote Sensing Image Classification with Large Scale Gaussian Processes
RAFAEL MOLINA SORIANO, Pablo Morales Álvarez
|
2018 | Articulo |
Using Deep Neural Networks for Inverse Problems in Imaging
RAFAEL MOLINA SORIANO
|
2018 | Articulo |
Detection and Localization of Concealed Objects in Passive Millimeter Images
RAFAEL MOLINA SORIANO, NICOLÁS PÉREZ DE LA BLANCA CAPILLA
|
2018 | Articulo |
Variational Gaussian Process for Multisensor Classification Problems
RAFAEL MOLINA SORIANO
|
2018 | Articulo |
Fast Bayesian Blind Deconvolution with Huber Super Gaussian Priors
RAFAEL MOLINA SORIANO, MIGUEL VEGA LÓPEZ
|
2017 | Articulo |
Bayesian K-SVD Using Fast Variational Inference
RAFAEL MOLINA SORIANO
|
2017 | Articulo |
Robust and Low-Rank Representation for Fast Face Identification with Occlusions
RAFAEL MOLINA SORIANO
|
2017 | Articulo |
Deep CNNs for Object Detection using Passive Millimiter Sensors
RAFAEL MOLINA SORIANO, NICOLÁS PÉREZ DE LA BLANCA CAPILLA
|
2017 | Articulo |
Regresión Logística Bayesiana con Distribuciones a priori Supergaussianas
RAFAEL MOLINA SORIANO (Codirector)
|
2016 | Tesina |
Procesamiento, Extracción de Rasgos y Detección de Amenazas en Imágenes Milimétricas
RAFAEL MOLINA SORIANO (Codirector)
|
2016 | Tesina |
Image Super Resolution Using Compressed Sensing Observations
RAFAEL MOLINA SORIANO (Director), MIGUEL VEGA LÓPEZ (Director)
|
2016 | Tesis Doctoral |
Registrado y mejora de imágenes milimétricas para la detección de amenazas
RAFAEL MOLINA SORIANO (Director)
|
2016 | Proyecto fin de carrera |
Procesamiento y extracción de rasgos para la detección de amenazas en imágenes milimétricas
RAFAEL MOLINA SORIANO (Codirector)
|
2016 | Proyecto fin de carrera |
A Variational Approach for Sparse Component Estimation and Low-Rank Matrix Recovery
RAFAEL MOLINA SORIANO
|
2016 | Capítulo de libro |
Compressive sensing super resolution from multiple observations with application to passive millimeter wave images
RAFAEL MOLINA SORIANO, MIGUEL VEGA LÓPEZ
|
2016 | Articulo |
Joint Data Filtering and Labeling Using Gaussian Processes and Alternating Direction Method of Multipliers
RAFAEL MOLINA SORIANO
|
2016 | Articulo |
Bayesian Modeling and Inference in Image Recovery and Classification Problems
RAFAEL MOLINA SORIANO (Director), Javier Mateos Delgado (Director)
|
2015 | Tesis Doctoral |
Robust Recovery of Temporally Smooth Signals from Under-Determined Multiple Measurements
RAFAEL MOLINA SORIANO
|
2015 | Articulo |
Variational Bayesian Blind Image Deconvolution: A Review
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2015 | Articulo |
Variational Dirichlet Blur Kernel Estimation
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2015 | Articulo |
Audiovisual Fusion: Challenges and New Approaches
RAFAEL MOLINA SORIANO
|
2015 | Articulo |
Bayesian Active Remote Sensing Image Classification
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2014 | Articulo |
Combining Poisson Singular Integral and Total Variation prior models in Image Restoration
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2014 | Articulo |
A Non-stationary Image Prior Combination in Super-Resolution
RAFAEL MOLINA SORIANO, MIGUEL VEGA LÓPEZ
|
2014 | Articulo |
Toward Dynamic Scene Understanding by Hierarchical Motion Pattern Mining
RAFAEL MOLINA SORIANO
|
2014 | Articulo |
Variational Bayesian Methods For Multimedia Problems
RAFAEL MOLINA SORIANO
|
2014 | Articulo |
Variational Bayesian Causal Connectivity Analysis for fMRI
RAFAEL MOLINA SORIANO
|
2014 | Articulo |
Automated Recovery of Compressedly Observed Sparse Signals From Smooth Background
RAFAEL MOLINA SORIANO
|
2014 | Articulo |
Interactive Pansharpening and Active Classification in Remote Sensing
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2013 | Capítulo de libro |
Bayesian combination of sparse and non-sparse priors in image super resolution
RAFAEL MOLINA SORIANO, MIGUEL VEGA LÓPEZ
|
2013 | Articulo |
Bayesian Simultaneous Sparse Approximation with Smooth Signals
RAFAEL MOLINA SORIANO
|
2013 | Articulo |
Iterative image restoration using nonstationary priors
RAFAEL MOLINA SORIANO, MIGUEL VEGA LÓPEZ
|
2013 | Articulo |
Compressive Blind Image Deconvolution
RAFAEL MOLINA SORIANO
|
2013 | Articulo |
Space-variant blur deconvolution and denoising in the dual exposure problem
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2013 | Articulo |
A Variational Approach for Sparse Component Estimation and Low-Rank Matrix Recovery
RAFAEL MOLINA SORIANO
|
2013 | Articulo |
FUSIÓN BAYESIANA DE PARES DE IMÁGENES CON DIFERENTE EXPOSICIÓN
RAFAEL MOLINA SORIANO (Codirector), Javier Mateos Delgado (Codirector)
|
2012 | Tesis Doctoral |
Astronomical Image Restoration Using Variational Methods and Model Combination
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2012 | Articulo |
Sparse Bayesian Methods for Low-Rank Matrix Estimation
RAFAEL MOLINA SORIANO
|
2012 | Articulo |
Compressive Light Field Sensing
RAFAEL MOLINA SORIANO
|
2012 | Articulo |
Variational Bayesian localization of EEG sources with generalized Gaussian priors
RAFAEL MOLINA SORIANO
|
2012 | Articulo |
Sparse Bayesian Blind Image Deconvolution with Parameter Estimation
RAFAEL MOLINA SORIANO
|
2012 | Articulo |
Superesolución y Reconstrucción Bayesiana de Imágenes a Partir de Imágenes de Baja Resolución Rotadas y Desplazadas. Combinación de Modelos
RAFAEL MOLINA SORIANO (Director), MIGUEL VEGA LÓPEZ (Director)
|
2011 | Tesis Doctoral |
Estimación de la función de respuesta de una cámara para la obtención de imágenes de alto rango dinámico. Eliminación de ruido y mapeado de tonos,
RAFAEL MOLINA SORIANO (Codirector), Javier Mateos Delgado (Codirector)
|
2011 | Proyecto fin de carrera |
VARIATIONAL BAYESIAN SUPER RESOLUTION
RAFAEL MOLINA SORIANO
|
2011 | Articulo |
BAYESIAN SYMMETRICAL EEG/FMRI FUSION WITH SPATIALLY ADAPTIVE PRIORS
RAFAEL MOLINA SORIANO
|
2011 | Articulo |
SUPER RESOLUTION OF MULTISPECTRAL IMAGES USING L1 IMAGE MODELS AND INTERBAND CORRELATIONS
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2011 | Articulo |
A survey of classical methods and new trends in pansharpening of multispectral images
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2011 | Articulo |
BAYESIAN COMPRESSIVE SENSING USING LAPLACE PRIORS
RAFAEL MOLINA SORIANO
|
2010 | Articulo |
VARIATIONAL BAYESIAN IMAGE RESTORATION WITH A SPATIALLY ADAPTIVE PRODUCT OF TOTAL VARIATION IMAGE PRIORS
RAFAEL MOLINA SORIANO
|
2010 | Articulo |
BAYESIAN BLIND DECONVOLUTION FROM DIFFERENTLY EXPOSED IMAGE PAIRS
RAFAEL MOLINA SORIANO
|
2010 | Articulo |
SUPER-RESOLUTION OF MULTISPECTRAL IMAGES
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2009 | Articulo |
VARIATIONAL BAYESIAN BLIND DECONVOLUTION USING A TOTAL VARIATION PRIOR
RAFAEL MOLINA SORIANO
|
2009 | Articulo |
SUPER RESOLUTION (SPECIAL ISSUE)
RAFAEL MOLINA SORIANO
|
2009 | Otro tipo de publicación en revista |
PANSHARPENING OF MULTISPECTRAL IMAGES USING A TV-BASED SUPER-RESOLUTION ALGORITHM
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2008 | Articulo |
SUPER RESOLUTION OF MULTISPECTRAL IMAGES USING TV IMAGE MODELS
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2008 | Capítulo de libro |
VARIATIONAL POSTERIOR DISTRIBUTION APPROXIMATION IN BAYESIAN SUPER RESOLUTION RECONSTRUCTION OF MULTISPECTRAL IMAGES
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2008 | Articulo |
PARAMETER ESTIMATION IN TV IMAGE RESTORATION USING VARIATIONAL DISTRIBUTION APPROXIMATION
RAFAEL MOLINA SORIANO
|
2008 | Articulo |
Image Restoration Software. Blind image restoration
RAFAEL MOLINA SORIANO (Codirector), Javier Mateos Delgado (Codirector)
|
2007 | Proyecto fin de carrera |
BLIND IMAGE DECONVOLUTION: PROBLEM FORMULATION AND EXISTING APPROACHES
RAFAEL MOLINA SORIANO
|
2007 | Capítulo de libro |
SUPER-RESOLUTION OF MULTISPECTRAL IMAGES
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2007 | Capítulo de libro |
REGION-BASED SUPER-RESOLUTION FOR COMPRESSION
RAFAEL MOLINA SORIANO
|
2007 | Articulo |
SUPER RESOLUTION OF IMAGES AND VIDEO
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2007 | Libro |
TRANSMISSION TOMOGRAPHY RECONSTRUCTION USING COMPOUND GAUSS-MARKOV RANDOM FIELDS AND ORDERED SUBSETS
RAFAEL MOLINA SORIANO
|
2006 | Articulo |
A BAYESIAN SUPER-RESOLUTION APPROACH TO DEMOSAICING OF BLURRED IMAGES
RAFAEL MOLINA SORIANO, MIGUEL VEGA LÓPEZ
|
2006 | Articulo |
BLIND DECONVOLUTION USING A VARIATIONAL APPROACH TO PARAMETER, IMAGE, AND BLUR ESTIMATION
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2006 | Articulo |
BAYESIAN RECONSTRUCTION OF COLOR IMAGES ACQUIRED WITH A SINGLE CCD
RAFAEL MOLINA SORIANO, MIGUEL VEGA LÓPEZ
|
2005 | Articulo |
HIGH RESOLUTION IMAGES FROM A SEQUENCE OF LOW RESOLUTION OBSERVATIONS
RAFAEL MOLINA SORIANO
|
2005 | Capítulo de libro |
MULTICHANNNEL IMAGE RECOVERY
RAFAEL MOLINA SORIANO
|
2005 | Capítulo de libro |
ESTIMATION OF HIGH RESOLUTION IMAGES AND REGISTRATION PARAMETERS FROM LOW RESOLUTION OBSERVATIONS
RAFAEL MOLINA SORIANO, MIGUEL VEGA LÓPEZ
|
2004 | Articulo |
BAYESIAN RESOLUTION ENHANCEMENT OF COMPRESSED VIDEO
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2004 | Articulo |
HIGH-RESOLUTION IMAGES FROM COMPRESSED LOW-RESOLUTION VIDEO: MOTION ESTIMATION AND OBSERVABLE PIXELS
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2004 | Articulo |
PARAMETER ESTIMATION IN BAYESIAN RECONSTRUCTION OF SPECT IMAGES: AN AID IN NUCLEAR MEDICINE DIAGNOSIS
RAFAEL MOLINA SORIANO
|
2004 | Articulo |
RESTAURACIÓN Y RECONSTRUCCIÓN BAYESIANAS DE IMÁGENES USANDO DECOMPOSICIONES MULTIBANDA
RAFAEL MOLINA SORIANO (Director)
|
2003 | Tesis Doctoral |
BAYESIAN IMAGE ESTIMATION FROM AN INCOMPLETE SET OF BLURRED, UNDERSAMPLED LOW RESOLUTION IMAGES
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2003 | Articulo |
BAYESIAN SPECT IMAGE RECONSTRUCTION WITH SCALE HYPERPARAMETER ESTIMATION FOR SCALABLE PRIORS
RAFAEL MOLINA SORIANO
|
2003 | Articulo |
PARAMETER ESTIMATION IN BAYESIAN HIGH-RESOLUTION IMAGE RECONSTRUCTION WITH MULTISENSORS
RAFAEL MOLINA SORIANO, MIGUEL VEGA LÓPEZ
|
2003 | Articulo |
BAYESIAN MULTICHANNEL IMAGE RESTORATION USING COMPOUND GAUSS-MARKOV RANDOM FIELDS
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2003 | Articulo |
HIGH-RESOLUTION IMAGES FROM LOW-RESOLUTION COMPRESSED VIDEO
RAFAEL MOLINA SORIANO
|
2003 | Articulo |
MULTI-CHANNEL RECONSTRUCTION OF VIDEO SEQUENCES FROM LOW-RESOLUTION AND COMPRESSED OBSERVATIONS
RAFAEL MOLINA SORIANO
|
2003 | Articulo |
RECONSTRUCCIÓN BAYESIANA DE IMÁGENES SPECT USANDO MODELOS DE GAUSS MARKOV. ESTIMACIÓN DE PARÁMETROS
RAFAEL MOLINA SORIANO (Director)
|
2002 | Tesis Doctoral |
SPECT IMAGE RECONSTRUCTION USING COMPOUND PRIOR MODELS
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2002 | Articulo |
HYPERPARAMETER ESTIMATION IN IMAGE RESTORATION PROBLEMS WITH PARTIALLY KNOWN BLURS
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2002 | Articulo |
SUPER-RESOLUTION FROM COMPRESSED VIDEO
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2001 | Capítulo de libro |
SPECT IMAGE RECONSTRUCTION USING COMPOUND PRIOR MODELS
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2001 | Capítulo de libro |
FROM IMAGES AND SIGNALS TO INFORMATION IN ASTRONOMY
RAFAEL MOLINA SORIANO
|
2001 | Editorial |
IMAGE RESTORATION IN ASTRONOMY: A BAYESIAN PERSPECTIVE
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, FRANCISCO JOSÉ CORTIJO BON
|
2001 | Articulo |
RESTORATION OF SEVERELY BLURRED HIGH RANGE IMAGES USING STOCHASTIC AND DETERMINISTICRELAXATION ALGORITHMS IN COMPOUND GAUSS MARKOV RANDOM FIELDS
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2000 | Capítulo de libro |
ESTIMACIÓN DE PARÁMETROS EN RESTAURACIÓN DE IMÁGENES MULTICANAL. APLICACIÓN A IMÁGENES ASTRONÓMICAS
RAFAEL MOLINA SORIANO, Javier Mateos Delgado, MIGUEL VEGA LÓPEZ
|
2000 | Articulo |
HIERARCHICAL BAYESIAN IMAGE RESTORATION FROM PARTIALLY KNOWN BLURS
RAFAEL MOLINA SORIANO
|
2000 | Articulo |
A BAYESIAN APPROACH FOR THE ESTIMATION AND TRANSMISSION OF REGULARIZATION PARAMETERS FOR REDUCING BLOCKING ARTIFACTS
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2000 | Articulo |
RESTORATION OF SEVERELY BLURRED HIGH RANGE IMAGES USING STOCHASTIC AND DETERMINISTIC RELAXATION ALGORITHMS IN COMPOUND GAUSS-MARKOV RANDOM FIELDS
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
2000 | Articulo |
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning
RAFAEL MOLINA SORIANO
|
- | Articulo |
Space-variant blur deconvolution and denoising in the dual exposure problem
RAFAEL MOLINA SORIANO, Javier Mateos Delgado
|
- | Articulo |
Bayesian Localization of EEG sources with Total Variation Priors: Results and Perspective
RAFAEL MOLINA SORIANO
|
- | Articulo |