Learning with CASTLE. - Silvia Acid; Luis M. de Campos; Antonio González 005; Rafael Molina 001; Nicolas Pérez de la Blanca (ECSQARU, 1991)

On the Bayesian deconvolution of planets. - Rafael Molina 001; Brian D. Ripley; Francisco J. Cortijo (ICPR (3), 1992)

Statistical Methods in Learning. - A. Sutherland; Bob Henery; Rafael Molina 001; Charles C. Taylor; Ross D. King (IPMU, 1992)

On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images. - Rafael Molina 001 (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

Automatic characterization of spiral and elliptical galaxies from digital images. - Jose A. García 001; Rafael Molina 001; Nicolas Pérez de la Blanca (Pattern Recognit. Lett., 1994)

Bayesian image restoration in astronomy: Application to images of the recent collision of comet shoemaker-levy 9 with jupiter. - Rafael Molina 001; Javier Mateos; Javier Abad; Nicolas Pérez de la Blanca; A. Molina; Fernando Moreno (Int. J. Imaging Syst. Technol., 1995)

A dynamic approach for clustering data. - Jose A. García 001; J. Fdez-Valdivia; Francisco J. Cortijo; Rafael Molina 001 (Signal Process., 1995)

A method for invariant pattern recognition using the scale-vector representation of planar curves. - Jose A. García 001; J. Fdez-Valdivia; Rafael Molina 001 (Signal Process., 1995)

Restoration of severely blurred high range images using compound models. - Rafael Molina 001; Aggelos K. Katsaggelos; Javier Mateos; Javier Abad (ICIP (2), 1996)

Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields. - Rafael Molina 001; Aggelos K. Katsaggelos; Javier Mateos; Aurora Hermoso (EMMCVPR, 1997)

A Bayesian approach to blind deconvolution based on Dirichlet distributions. - Rafael Molina 001; Aggelos K. Katsaggelos; Javier Abad; Javier Mateos (ICASSP, 1997)

Reduction of Blocking Artifacts in Block Transformed Compressed Color Images. - Javier Mateos; Carlos Ilia Herráiz Montalvo; Blas C. Ruiz Jiménez; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP (1), 1998)

Bayesian image restoration using a wavelet-based subband decomposition. - Rafael Molina 001; Aggelos K. Katsaggelos; Javier Abad (ICASSP, 1999)

Hyperparameter Estimation for Emission Computed Tomography Data. - Antonio López; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP (2), 1999)

Bayesian and regularization methods for hyperparameter estimation in image restoration. - Rafael Molina 001; Aggelos K. Katsaggelos; Javier Mateos (IEEE Trans. Image Process., 1999)

Color image restoration using compound Gauss-Markov Random Fields. - Javier Mateos; Aggelos K. Katsaggelos; Rafael Molina 001 (EUSIPCO, 2000)

High-resolution color image reconstruction from compressed video sequences. - Javier Mateos; Aggelos K. Katsaggelos; Rafael Molina 001 (EUSIPCO, 2000)

Resolution enhancement of compressed low resolution video. - Javier Mateos; Aggelos K. Katsaggelos; Rafael Molina 001 (ICASSP, 2000)

Multichannel image restoration using compound Gauss-Markov random fields. - Rafael Molina 001; Javier Mateos; Aggelos K. Katsaggelos (ICASSP, 2000)

Simultaneous Motion Estimation and Resolution Enhancement of Compressed low Resolution Video. - Javier Mateos; Aggelos K. Katsaggelos; Rafael Molina 001 (ICIP, 2000)

Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss?CMarkov random fields. - Rafael Molina 001; Aggelos K. Katsaggelos; Javier Mateos; Aurora Hermoso; C. Andrew Segall (Pattern Recognit., 2000)

Hierarchical Bayesian image restoration from partially known blurs. - Nikolas P. Galatsanos; Vladimir Z. Mesarovic; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2000)

A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts. - Javier Mateos; Aggelos K. Katsaggelos; Rafael Molina 001 (IEEE Trans. Image Process., 2000)

SPECT image reconstruction using compound models. - Antonio López; Rafael Molina 001; Aggelos K. Katsaggelos; Javier Mateos (ICASSP, 2001)

Bayesian high-resolution reconstruction of low-resolution compressed video. - Rafael Molina 001; Aggelos K. Katsaggelos; Javier Mateos; C. Andrew Segall (ICIP (2), 2001)

Image restoration in astronomy: a Bayesian perspective. - Rafael Molina 001; Jorge Núñez; Francisco J. Cortijo; Javier Mateos (IEEE Signal Process. Mag., 2001)

Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations. - C. Andrew Segall; Rafael Molina 001; Aggelos K. Katsaggelos; Javier Mateos (ICASSP, 2002)

Scale hyperparameter estimation for GGMRF prior models with application to SPECT images. - Antonio López; Rafael Molina 001; Aggelos K. Katsaggelos (DSP, 2002)

A General Multichannel Image Restoration Method Using Compound Models. - Rafael Molina 001; Javier Mateos; Aggelos K. Katsaggelos; Miguel Vega (ICPR (3), 2002)

SPECT Image Reconstruction Using Compound Prior Models. - Antonio López; Rafael Molina 001; Javier Mateos; Aggelos K. Katsaggelos (Int. J. Pattern Recognit. Artif. Intell., 2002)

Multi-channel Reconstruction of Video Sequences from Low-Resolution and Compressed Observations. - Luis D. Alvarez; Rafael Molina 001; Aggelos K. Katsaggelos (CIARP, 2003)

Bayesian SPECT Image Reconstruction with Scale Hyperparameter Estimation for Scalable Prior. - Antonio López; Rafael Molina 001; Aggelos K. Katsaggelos (IbPRIA, 2003)

Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images. - Javier Mateos; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (IbPRIA, 2003)

Parameter estimation in super-resolution image reconstruction problems. - Javier Abad; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP (3), 2003)

Bayesian high resolution image reconstruction with incomplete multisensor low resolution systems. - Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP (3), 2003)

Bayesian parameter estimation in image reconstruction from subsampled blurred observations. - Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP (2), 2003)

Bayesian super-resolution of text image sequences from low resolution observations. - Francisco J. Cortijo; Salvador Villena; Rafael Molina 001; Aggelos K. Katsaggelos (ISSPA (1), 2003)

High-resolution images from low-resolution compressed video. - C. Andrew Segall; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Signal Process. Mag., 2003)

Bayesian multichannel image restoration using compound Gauss-Markov random fields. - Rafael Molina 001; Javier Mateos; Aggelos K. Katsaggelos; Miguel Vega (IEEE Trans. Image Process., 2003)

Parameter estimation in Bayesian high-resolution image reconstruction with multisensors. - Rafael Molina 001; Miguel Vega; Javier Abad; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2003)

Estimation of High Resolution Images and Registration Parameters from Low Resolution Observations. - Salvador Villena; Javier Abad; Rafael Molina 001; Aggelos K. Katsaggelos (CIARP, 2004)

Motion estimation in high resolution image reconstruction from compressed video sequences. - Luis D. Alvarez; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2004)

High-resolution images from compressed low-resolution video: Motion estimation and observable pixels. - Luis D. Alvarez; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (Int. J. Imaging Syst. Technol., 2004)

Parameter estimation in Bayesian reconstruction of SPECT images: An aid in nuclear medicine diagnosis. - Antonio López; Rafael Molina 001; Aggelos K. Katsaggelos; Antonio Rodriguez; José M. López; José M. Llamas-Elvira (Int. J. Imaging Syst. Technol., 2004)

Bayesian resolution enhancement of compressed video. - C. Andrew Segall; Aggelos K. Katsaggelos; Rafael Molina 001; Javier Mateos (IEEE Trans. Image Process., 2004)

3D Robot Mapping: Combining Active and Non Active Sensors in a Probabilistic Framework. - Fidel Aznar Gregori; Mireia Sempere; Mar Pujol; Ramón Rizo; Rafael Molina 001 (CAEPIA, 2005)

Bayesian Reconstruction for Transmission Tomography with Scale Hyperparameter Estimation. - Antonio López; Rafael Molina 001; Aggelos K. Katsaggelos (IbPRIA (2), 2005)

Bayesian Reconstruction of Color Images Acquired with a Single CCD. - Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (IbPRIA (1), 2005)

Approximations of posterior distributions in blind deconvolution using variational methods. - Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP (2), 2005)

Hierarchical Bayesian super resolution reconstruction of multispectral images. - Rafael Molina 001; Miguel Vega; Javier Mateos; Aggelos K. Katsaggelos (EUSIPCO, 2006)

Transmission Tomography Reconstruction Using Compound Gauss-Markov Random Fields and Ordered Subsets. - Antonio López; José Manuel Martín; Rafael Molina 001; Aggelos K. Katsaggelos (ICIAR (2), 2006)

Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques. - Rafael Molina 001; Miguel Vega; Javier Mateos; Aggelos K. Katsaggelos (ICIP, 2006)

Distance histogram to centroid as a unique feature to recognize objects. - Pilar Arques; Rafael Molina 001; Mar Pujol; Ramón Rizo (VISAPP (1), 2006)

A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images. - Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (EURASIP J. Adv. Signal Process., 2006)

Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation. - Rafael Molina 001; Javier Mateos; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2006)

3D Reconstruction and Mapping from Stereo Pairs with Geometrical Rectification. - Antonio Javier Gallego 001; Rafael Molina 001; Patricia Compañ; Carlos Villagrá (BVAI, 2007)

Rectified Reconstruction from Stereo Pairs and Robot Mapping. - Antonio Javier Gallego 001; Rafael Molina 001; Patricia Compañ; Carlos Villagrá (CAIP, 2007)

Total variation blind deconvolution using a variational approach to parameter, image, and blur estimation. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2007)

Super resolution of multispectral images using locally adaptive models. - Rafael Molina 001; Javier Mateos; Miguel Vega; Aggelos K. Katsaggelos (EUSIPCO, 2007)

Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP (1), 2007)

Nonstationary Blind Image Restoration using Variational Methods. - Tom E. Bishop; Rafael Molina 001; James R. Hopgood (ICIP (1), 2007)

From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations. - Rafael Molina 001; Miguel Vega; Aggelos K. Katsaggelos (ICIP (1), 2007)

Variational posterior distribution approximation in bayesian emission tomography reconstruction using a gamma mixture prior. - Rafael Molina 001; Antonio López; José Manuel Martín; Aggelos K. Katsaggelos (VISAPP (Special Sessions), 2007)

Region-based super-resolution for compression. - Dácil Barreto; Luis D. Alvarez; Rafael Molina 001; Aggelos K. Katsaggelos; Gustavo M. Callicó (Multidimens. Syst. Signal Process., 2007)

Super Resolution of Images and Video - Aggelos K. Katsaggelos; Rafael Molina 001; Javier Mateos (Morgan & Claypool Publishers, 2007)

Parameter estimation in total variation blind deconvolution. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2008)

Generalized Gaussian Markov random field image restoration using variational distribution approximation. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP, 2008)

Total variation super resolution using a variational approach. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2008)

Blind restoration of blurred photographs via AR modelling and MCMC. - Tom E. Bishop; Rafael Molina 001; James R. Hopgood (ICIP, 2008)

Super Resolution of Multispectral Images Using TV Image Models. - Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (KES (3), 2008)

Using Logarithmic Opinion Pooling Techniques in Bayesian Blind Multi-Channel Restoration. - Bruno Amizic; Aggelos K. Katsaggelos; Rafael Molina 001 (VISAPP (1), 2008)

Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2008)

Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images. - Salvador Villena; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (ACIVS, 2009)

Non-convex priors in Bayesian compressed sensing. - S. Derin Babacan; Luis Mancera; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2009)

Fast bayesian compressive sensing using Laplace priors. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP, 2009)

L1 prior majorization in Bayesian image restoration. - Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (DPS, 2009)

Compressive sensing of light fields. - S. Derin Babacan; Reto Ansorge; Martin Luessi; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2009)

Image restoration by mixture modelling of an overcomplete linear representation. - Luis Mancera; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2009)

Local Bayesian image restoration using variational methods and Gamma-Normal distributions. - Javier Mateos; Tom E. Bishop; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2009)

Guest Editorial. - Aggelos K. Katsaggelos; Rafael Molina 001 (Comput. J., 2009)

Super-Resolution of Multispectral Images. - Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (Comput. J., 2009)

Variational Bayesian Blind Deconvolution Using a Total Variation Prior. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2009)

Variational Bayesian inference image restoration using a product of total variation-like image priors. - Giannis K. Chantas; Nikolaos Galatsanos; Rafael Molina 001; Aggelos K. Katsaggelos (CIP, 2010)

Sparse Bayesian blind image deconvolution with parameter estimation. - Bruno Amizic; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2010)

Combining observation models in dual exposure problems using the Kullback-Leibler divergence. - Miguel Tallon; Javier Mateos; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2010)

Image prior combination in super-resolution image reconstruction. - Salvador Villena; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2010)

Fast total variation image restoration with parameter estimation using bayesian inference. - Bruno Amizic; S. Derin Babacan; Michael K. Ng 001; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP, 2010)

Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation. - Martin Luessi; S. Derin Babacan; Rafael Molina 001; James R. Booth; Aggelos K. Katsaggelos (ICASSP, 2010)

Sparse Bayesian image restoration. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2010)

Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction. - Salvador Villena; Miguel Vega; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2010)

Bayesian Compressive Sensing Using Laplace Priors. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2010)

Bayesian Blind Deconvolution From Differently Exposed Image Pairs. - S. Derin Babacan; Jingnan Wang; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2010)

Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors. - Giannis K. Chantas; Nikolas P. Galatsanos; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2010)

Bayesian partial out-of-focus blur removal with parameter estimation. - Bruno Amizic; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2011)

Space-variant kernel deconvolution for dual exposure problem. - Miguel Tallon; Javier Mateos; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2011)

Low-rank matrix completion by variational sparse Bayesian learning. - S. Derin Babacan; Martin Luessi; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP, 2011)

Bayesian TV denoising of SAR images. - Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2011)

A novel iterative image restoration algorithm using nonstationary image priors. - Esteban Vera; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2011)

Video retrieval using sparse Bayesian reconstruction. - Pablo Ruiz 002; S. Derin Babacan; Li Gao; Zhu Li 001; Rafael Molina 001; Aggelos K. Katsaggelos (ICME, 2011)

Retrieval of video clips with missing frames using sparse Bayesian reconstruction. - Pablo Ruiz 002; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ISPA, 2011)

Image prior combination in space-variant blur deconvolution for the dual exposure problem. - Miguel Tallon; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ISPA, 2011)

A Bayesian Active Learning Framework for a Two-Class Classification Problem. - Pablo Ruiz 002; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (MUSCLE, 2011)

A survey of classical methods and new trends in pansharpening of multispectral images. - Israa Amro; Javier Mateos; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (EURASIP J. Adv. Signal Process., 2011)

Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors. - Martin Luessi; S. Derin Babacan; Rafael Molina 001; James R. Booth; Aggelos K. Katsaggelos (NeuroImage, 2011)

Variational Bayesian Super Resolution. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2011)

Super Resolution of Multispectral Images using ℓ1 Image Models and Interband Correlations. - Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (J. Signal Process. Syst., 2011)

Bayesian Blind Deconvolution with General Sparse Image Priors. - S. Derin Babacan; Rafael Molina 001; Minh N. Do; Aggelos K. Katsaggelos (ECCV (6), 2012)

Hyperparameters estimation for the Bayesian localization of the EEG sources with TV priors. - Antonio López; Jesús M. Cortés; Domingo López-Oller; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2012)

Simultaneous Bayesian compressive sensing and blind deconvolution. - Leonidas Spinoulas; Bruno Amizic; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2012)

Upsampling and denoising of depth maps via joint-segmentation. - Miguel Tallon; S. Derin Babacan; Javier Mateos; Minh N. Do; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2012)

Compressive sampling with unknown blurring function: Application to passive millimeter-wave imaging. - Bruno Amizic; Leonidas Spinoulas; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2012)

Sparse Bayesian blind image deconvolution with parameter estimation. - Bruno Amizic; Rafael Molina 001; Aggelos K. Katsaggelos (EURASIP J. Image Video Process., 2012)

Compressive Light Field Sensing. - S. Derin Babacan; Reto Ansorge; Martin Luessi; Pablo Ruiz Matarán; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2012)

Sparse Bayesian Methods for Low-Rank Matrix Estimation. - S. Derin Babacan; Martin Luessi; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Signal Process., 2012)

Variational Bayesian compressive blind image deconvolution. - Bruno Amizic; Leonidas Spinoulas; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2013)

Image deblurring combining poisson singular integral and total variation prior models. - Hiram Madero Orozco; Pablo Ruiz 002; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2013)

A general sparse image prior combination in Compressed Sensing. - Jorge Rubio; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2013)

Light field acquisition from blurred observations using a programmable coded aperture camera. - Pablo Ruiz 002; Javier Mateos; María C. Cárdenas; Shinichi Nakajima; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2013)

A general sparse image prior combination in super-resolution. - Salvador Villena; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (DSP, 2013)

Bayesian combination of sparse and non-sparse priors in image super resolution. - Salvador Villena; Miguel Vega; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2013)

Space-variant blur deconvolution and denoising in the dual exposure problem. - Miguel Tallon; Javier Mateos; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (Inf. Fusion, 2013)

A Variational Approach for Sparse Component Estimation and Low-Rank Matrix Recovery. - Zhaofu Chen; Rafael Molina 001; Aggelos K. Katsaggelos (J. Commun., 2013)

Compressive Blind Image Deconvolution. - Bruno Amizic; Leonidas Spinoulas; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2013)

Bayesian Simultaneous Sparse Approximation With Smooth Signals. - Martin Luessi; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Signal Process., 2013)

Interactive Pansharpening and Active Classification in Remote Sensing. - Pablo Ruiz 002; Javier Mateos; Gustavo Camps-Valls; Rafael Molina 001; Aggelos K. Katsaggelos (Multimodal Interaction in Image and Video Applications, 2013)

¿Puede un videojuego ayudarnos a predecir los resultados de aprendizaje? - Ana Illanas; Faraón Llorens; Rafael Molina 001; Francisco Gallego; Patricia Compañ; Rosana Satorre; Carlos Villagrá (CoSECivi, 2014)

Recovery of correlated sparse signals from under-sampled measurements. - Zhaofu Chen; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2014)

Bayesian classification and active learning using lp-priors. Application to image segmentation. - Pablo Ruiz 002; Nicolas Pérez de la Blanca; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2014)

Parameter estimation in Bayesian Blind Deconvolution with super Gaussian image priors. - Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2014)

Learning filters in Gaussian process classification problems. - Pablo Ruiz 002; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2014)

Fast iteratively reweighted least squares for lp regularized image deconvolution and reconstruction. - Xu Zhou 005; Rafael Molina 001; Fugen Zhou; Aggelos K. Katsaggelos (ICIP, 2014)

Technological Ecosystem for Open Education. - Faraón Llorens; Rafael Molina 001; Patricia Compañ; Rosana Satorre (IDT/IIMSS/STET, 2014)

A non-stationary image prior combination in super-resolution. - Salvador Villena; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2014)

Variational Bayesian causal connectivity analysis for fMRI. - Martin Luessi; S. Derin Babacan; Rafael Molina 001; James R. Booth; Aggelos K. Katsaggelos (Frontiers Neuroinformatics, 2014)

Combining Poisson singular integral and total variation prior models in image restoration. - Pablo Ruiz 002; Hiram Madero Orozco; Javier Mateos; Osslan Osiris Vergara-Villegas; Rafael Molina 001; Aggelos K. Katsaggelos (Signal Process., 2014)

Automated Recovery of Compressedly Observed Sparse Signals From Smooth Background. - Zhaofu Chen; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Signal Process. Lett., 2014)

Bayesian Active Remote Sensing Image Classification. - Pablo Ruiz 002; Javier Mateos; Gustavo Camps-Valls; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Geosci. Remote. Sens., 2014)

Toward Dynamic Scene Understanding by Hierarchical Motion Pattern Mining. - Lei Song; Fan Jiang; Zhongke Shi; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Intell. Transp. Syst., 2014)

Variational Bayesian Methods For Multimedia Problems. - Zhaofu Chen; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Multim., 2014)

Fast millimeter wave threat detection algorithm. - I. Gomez Maqueda; Nicolas Pérez de la Blanca; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2015)

Variational Gaussian process for sensor fusion. - Neda Rohani; Pablo Ruiz 002; Emre Besler; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2015)

PMMW image super resolution from compressed sensing observations. - Wael Saafin; Salvador Villena; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2015)

Image super-resolution from compressed sensing observations. - Wael Saafin; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2015)

Variational Bayesian Blind Image Deconvolution: A review. - Pablo Ruiz 002; Xu Zhou 005; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2015)

Audiovisual Fusion: Challenges and New Approaches. - Aggelos K. Katsaggelos; Sara Bahaadini; Rafael Molina 001 (Proc. IEEE, 2015)

Variational Dirichlet Blur Kernel Estimation. - Xu Zhou 005; Javier Mateos; Fugen Zhou; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2015)

Robust Recovery of Temporally Smooth Signals From Under-Determined Multiple Measurements. - Zhaofu Chen; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Signal Process., 2015)

Classification of multiple annotator data using variational Gaussian process inference. - Emre Besler; Pablo Ruiz 002; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2016)

Compressed sensing super resolution of color images. - Wael Saafin; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2016)

Detection and localization of objects in Passive Millimeter Wave Images. - Santiago Lopez Tapia; Rafael Molina 001; Nicolas Pérez de la Blanca (EUSIPCO, 2016)

Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation. - Javier Mateos; Antonio López; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2016)

Bayesian logistic regression with sparse general representation prior for multispectral image classification. - Juan G. Serra; Pablo Ruiz 002; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2016)

Variational Gaussian process for missing label crowdsourcing classification problems. - Pablo Ruiz 002; Emre Besler; Rafael Molina 001; Aggelos K. Katsaggelos (MLSP, 2016)

Compressive sensing super resolution from multiple observations with application to passive millimeter wave images. - Wael AlSaafin; Salvador Villena; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2016)

Joint Data Filtering and Labeling Using Gaussian Processes and Alternating Direction Method of Multipliers. - Pablo Ruiz Matarán; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2016)

Parameter estimation in spike and slab variational inference for blind image deconvolution. - Juan G. Serra; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2017)

Passive millimeter wave image classification with large scale Gaussian processes. - Pablo Morales-Alvarez; Adrian Perez-Suay; Rafael Molina 001; Gustau Camps-Valls; Aggelos K. Katsaggelos (ICIP, 2017)

Spike and slab variational inference for blind image deconvolution. - Juan G. Serra; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2017)

Greedy Bayesian double sparsity dictionary learning. - Juan G. Serra; Salvador Villena; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2017)

Efficient remote sensing image classification with Gaussian processes and Fourier features. - Pablo Morales-Alvarez; Adrian Perez-Suay; Rafael Molina 001; Gustau Camps-Valls (IGARSS, 2017)

Fast Bayesian blind deconvolution with Huber Super Gaussian priors. - Xu Zhou 005; Miguel Vega; Fugen Zhou; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2017)

Robust and Low-Rank Representation for Fast Face Identification With Occlusions. - Michael Iliadis; Haohong Wang; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2017)

Bayesian K-SVD Using Fast Variational Inference. - Juan G. Serra; Matteo Testa; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2017)

Hard Exudate Detection Using Local Texture Analysis and Gaussian Processes. - Adrián Colomer; Pablo Ruiz 002; Valery Naranjo; Rafael Molina 001; Aggelos K. Katsaggelos (ICIAR, 2018)

Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach. - Natalia Hidalgo-Gavira; Javier Mateos; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2018)

Deep Gaussian Processes for Geophysical Parameter Retrieval. - Daniel Heestermans Svendsen; Pablo Morales-Alvarez; Rafael Molina 001; Gustau Camps-Valls (IGARSS, 2018)

Fully Automated Blind Color Deconvolution of Histopathological Images. - Natalia Hidalgo-Gavira; Javier Mateos; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (MICCAI (2), 2018)

Image super-resolution for outdoor digital forensics. Usability and legal aspects. - Salvador Villena; Miguel Vega; Javier Mateos; Duska Rosenberg; Fionn Murtagh; Rafael Molina 001; Aggelos K. Katsaggelos (Comput. Ind., 2018)

Using machine learning to detect and localize concealed objects in passive millimeter-wave images. - Santiago Lopez Tapia; Rafael Molina 001; Nicolas Pérez de la Blanca (Eng. Appl. Artif. Intell., 2018)

Variational Gaussian process for multisensor classification problems. - Neda Rohani; Pablo Ruiz 002; Rafael Molina 001; Aggelos K. Katsaggelos (Pattern Recognit. Lett., 2018)

Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods. - Alice Lucas; Michael Iliadis; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Signal Process. Mag., 2018)

Remote Sensing Image Classification With Large-Scale Gaussian Processes. - Pablo Morales-Alvarez; Adrian Perez-Suay; Rafael Molina 001; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2018)

Multiple-Degradation Video Super-Resolution with Direct Inversion of the Low-Resolution Formation Model. - Santiago Lopez Tapia; Alice Lucas; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2019)

Variational Bayes Color Deconvolution with a Total Variation Prior. - Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2019)

A Composite Discriminator for Generative Adversarial Network based Video Super-Resolution. - Xijun Wang 003; Alice Lucas; Santiago Lopez Tapia; Xinyi Wu 001; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2019)

Semantic Prior Based Generative Adversarial Network for Video Super-Resolution. - Xinyi Wu 001; Alice Lucas; Santiago López-Tapia; Xijun Wang 003; Yul Hee Kim; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2019)

Spatially Adaptive Losses for Video Super-resolution with GANs. - Xijun Wang 003; Alice Lucas; Santiago Lopez Tapia; Xinyi Wu 001; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP, 2019)

Gan-Based Video Super-Resolution With Direct Regularized Inversion of the Low-Resolution Formation Model. - Santiago López-Tapia; Alice Lucas; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2019)

Efficient Fine-Tuning of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems. - Alice Lucas; Santiago López-Tapia; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2019)

Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor. - Miguel López-Pérez; Adrián Colomer; María Á. Sales; Rafael Molina 001; Valery Naranjo (IDEAL (1), 2019)

A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes. - Ángel E. Esteban; Miguel López-Pérez; Adrián Colomer; María Á. Sales; Rafael Molina 001; Valery Naranjo (Comput. Methods Programs Biomed., 2019)

Self-Supervised Fine-tuning for Image Enhancement of Super-Resolution Deep Neural Networks. - Alice Lucas; Santiago Lopez Tapia; Rafael Molina 001; Aggelos K. Katsaggelos (CoRR, 2019)

Variational EM method for blur estimation using the spike-and-slab image prior. - Juan G. Serra; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2019)

Scalable and efficient learning from crowds with Gaussian processes. - Pablo Morales-Alvarez; Pablo Ruiz 002; Raúl Santos-Rodríguez; Rafael Molina 001; Aggelos K. Katsaggelos (Inf. Fusion, 2019)

Learning from crowds with variational Gaussian processes. - Pablo Ruiz 002; Pablo Morales-Alvarez; Rafael Molina 001; Aggelos K. Katsaggelos (Pattern Recognit., 2019)

Deep CNNs for Object Detection Using Passive Millimeter Sensors. - Santiago López-Tapia; Rafael Molina 001; Nicolás Pérez de la Blanca (IEEE Trans. Circuits Syst. Video Technol., 2019)

Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. - Alice Lucas; Santiago Lopez Tapia; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2019)

Gated Recurrent Networks for Video Super Resolution. - Santiago López-Tapia; Alice Lucas; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2020)

Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians. - Fernando Pérez-Bueno; Miguel Vega; Valery Naranjo; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2020)

Super Gaussian Priors for Blind Color Deconvolution of Histological Images. - Fernando Pérez-Bueno; Miguel Vega; Valery Naranjo; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2020)

Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection. - Julio Silva-Rodríguez; Adrián Colomer; María Á. Sales; Rafael Molina 001; Valery Naranjo (Comput. Methods Programs Biomed., 2020)

A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models. - Santiago López-Tapia; Alice Lucas; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2020)

A TV-based image processing framework for blind color deconvolution and classification of histological images. - Fernando Pérez-Bueno; Miguel López-Pérez; Miguel Vega; Javier Mateos; Valery Naranjo; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2020)

Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors. - Fernando Pérez-Bueno; Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (Sensors, 2020)

Variational Bayesian Blind Color Deconvolution of Histopathological Images. - Natalia Hidalgo-Gavira; Javier Mateos; Miguel Vega; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2020)

Parameter-Free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy. - Xu Zhou 005; Rafael Molina 001; Yi Ma 001; Tianfu Wang 001; Dong Ni 001 (IEEE Trans. Image Process., 2020)

Activation-level uncertainty in deep neural networks. - Pablo Morales-Alvarez; Daniel Hernández-Lobato; Rafael Molina 001; José Miguel Hernández-Lobato (ICLR, 2021)

Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection. - Yunan Wu; Arne Schmidt 005; Enrique Hernández-Sánchez; Rafael Molina 001; Aggelos K. Katsaggelos (MICCAI (2), 2021)

Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. - Fernando Pérez-Bueno; Miguel Vega; María Á. Sales; José Aneiros-Fernández; Valery Naranjo; Rafael Molina 001; Aggelos K. Katsaggelos (Comput. Methods Programs Biomed., 2021)

Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion. - Daniel Heestermans Svendsen; Pablo Morales-Alvarez; Ana Belen Ruescas; Rafael Molina 001; Gustau Camps-Valls (CoRR, 2021)

Deep learning approaches to inverse problems in imaging: Past, present and future. - Santiago López-Tapia; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2021)

A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes. - Miguel López-Pérez; Luz García 001; M. Carmen Benítez; Rafael Molina 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review. - Neel Kanwal; Fernando Pérez-Bueno; Arne Schmidt 005; Kjersti Engan; Rafael Molina 001 (IEEE Access, 2022)

Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning. - Arne Schmidt 005; Julio Silva-Rodríguez; Rafael Molina 001; Valery Naranjo (IEEE Access, 2022)

Proportion constrained weakly supervised histopathology image classification. - Julio Silva-Rodríguez; Arne Schmidt 005; María Á. Sales; Rafael Molina 001; Valery Naranjo (Comput. Biol. Medicine, 2022)

Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification. - Fernando Pérez-Bueno; Juan G. Serra; Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (Comput. Medical Imaging Graph., 2022)

Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection. - Miguel López-Pérez; Arne Schmidt 005; Yunan Wu; Rafael Molina 001; Aggelos K. Katsaggelos (Comput. Methods Programs Biomed., 2022)

Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO. - Pablo Morales-Álvarez; Pablo Ruiz 002; Scott Coughlin; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection. - Fernando Pérez-Bueno; Luz García 001; Gabriel Maciá-Fernández; Rafael Molina 001 (IEEE/ACM Trans. Netw., 2022)

Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. - Miguel López-Pérez; Pablo Morales-Álvarez; Lee A. D. Cooper; Rafael Molina 001; Aggelos K. Katsaggelos (AIME, 2023)

A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. - Fernando Pérez-Bueno; Kjersti Engan; Rafael Molina 001 (AIME, 2023)

Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation. - Arne Schmidt 005; Pablo Morales-Álvarez; Rafael Molina 001 (ICCV, 2023)

Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse. - Santiago López-Tapia; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2023)

Deep Bayesian Blind Color Deconvolution of Histological Images. - Shuowen Yang; Fernando Pérez-Bueno; Francisco M. Castro-Macías; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2023)

Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. - Yunan Wu; Francisco M. Castro-Macías; Pablo Morales-Álvarez; Rafael Molina 001; Aggelos K. Katsaggelos (MICCAI (5), 2023)

Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification. - Miguel López-Pérez; Pablo Morales-Álvarez; Lee A. D. Cooper; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Access, 2023)

Probabilistic fusion of crowds and experts for the search of gravitational waves. - Pablo Ruiz 002; Pablo Morales-Álvarez; Scott Coughlin; Rafael Molina 001; Aggelos K. Katsaggelos (Knowl. Based Syst., 2023)

Learning Moore-Penrose based residuals for robust non-blind image deconvolution. - Santiago López-Tapia; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2023)

Practicas Jupyter para Extracción de Carácteristicas en Imágenes (Master DATCOM 21/22). - Fernando Pérez-Bueno; Rafael Molina Soriano (Zenodo, 2023)

Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset. - Rocío del Amor; Jose Pérez-Cano; Miguel López-Pérez; Liria Terradez; José Aneiros-Fernández; Sandra Morales; Javier Mateos; Rafael Molina 001; Valery Naranjo (Artif. Intell. Medicine, 2023)

Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior. - Francisco M. Castro-Macías; Fernando Pérez-Bueno; Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2024)

Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior. - Francisco M. Castro-Macías; Fernando Pérez-Bueno; Miguel Vega; Javier Mateos; Rafael Molina 001; Aggelos K. Katsaggelos (ISBI, 2024)

Sm: enhanced localization in Multiple Instance Learning for medical imaging classification. - Francisco M. Castro-Macías; Pablo Morales-Alvarez; Yunan Wu; Rafael Molina 001; Aggelos K. Katsaggelos (NeurIPS, 2024)

Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. - Francisco M. Castro-Macías; Pablo Morales-Álvarez; Yunan Wu; Rafael Molina 001; Aggelos K. Katsaggelos (Artif. Intell., 2024)

Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD. - Fernando Pérez-Bueno; Kjersti Engan; Rafael Molina 001 (Artif. Intell. Medicine, 2024)

Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images. - Neel Kanwal; Miguel López-Pérez; Umay Kiraz; Tahlita C. M. Zuiverloon; Rafael Molina 001; Kjersti Engan (Comput. Medical Imaging Graph., 2024)

Learning from crowds for automated histopathological image segmentation. - Miguel López-Pérez; Pablo Morales-Álvarez; Lee A. D. Cooper; Christopher Felicelli; Jeffery A. Goldstein; Brian Vadasz; Rafael Molina 001; Aggelos K. Katsaggelos (Comput. Medical Imaging Graph., 2024)

The CrowdGleason dataset: Learning the Gleason grade from crowds and experts. - Miguel López-Pérez; Alba Morquecho; Arne Schmidt 005; Fernando Pérez-Bueno; Aurelio Martín-Castro; Javier Mateos; Rafael Molina 001 (Comput. Methods Programs Biomed., 2024)

A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models. - Xijun Wang 003; Santiago López-Tapia; Alice Lucas; Xinyi Wu 001; Rafael Molina 001; Aggelos K. Katsaggelos (CoRR, 2024)

BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution. - Shuowen Yang; Fernando Pérez-Bueno; Francisco M. Castro-Macías; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2024)

An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection. - Jose Pérez-Cano; Yunan Wu; Arne Schmidt 005; Miguel López-Pérez; Pablo Morales-Álvarez; Rafael Molina 001; Aggelos K. Katsaggelos (Expert Syst. Appl., 2024)

Focused active learning for histopathological image classification. - Arne Schmidt 005; Pablo Morales-Álvarez; Lee A. D. Cooper; Lee A. Newberg; Andinet Enquobahrie; Rafael Molina 001; Aggelos K. Katsaggelos (Medical Image Anal., 2024)

Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images. - Pablo Morales-Álvarez; Arne Schmidt 005; José Miguel Hernández-Lobato; Rafael Molina 001 (Pattern Recognit., 2024)

CR-AI4SkIN dataset. - Rocío del Amor; Jose Pérez-Cano; Miguel López-Pérez; Liria Terradez; José Aneiros-Fernández; Sandra Morales; Javier Mateos; Rafael Molina 001; Valery Naranjo (Zenodo, 2024)

A Blood Dataset from Camelyon 17. - Fernando Pérez-Bueno; Kjersti Engan; Rafael Molina Soriano (Zenodo, 2024)

Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning. - Arne Schmidt 005; Pablo Morales-Álvarez; Rafael Molina 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Real-Time Lightweight Video Super-Resolution With RRED-Based Perceptual Constraint. - Xinyi Wu 001; Santiago López-Tapia; Xijun Wang 003; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Circuits Syst. Video Technol., 2024)

The CrowdGleason dataset: learning the Gleason grade from crowds and experts. - Miguel López-Pérez; Alba Morquecho; Arne Schmidt 005; Fernando Pérez-Bueno; Aurelio Martín-Castro; Javier Mateos; Rafael Molina 001 (Zenodo, 2024)

Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning. - Francisco Javier Sáez-Maldonado; Luz García 001; Lee A. D. Cooper; Jeffery A. Goldstein; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Access, 2025)

Spatially-Aware Loss Functions for GAN-Driven Super-Resolution. - Xijun Wang 003; Santiago López-Tapia; Xinyi Wu 001; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Access, 2025)

Probabilistic smooth attention for deep multiple instance learning in medical imaging. - Francisco M. Castro-Macías; Pablo Morales-Álvarez; Yunan Wu; Rafael Molina 001; Aggelos K. Katsaggelos (Pattern Recognit., 2026)