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)

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 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)

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)

Monte Carlo simulation of electronic characteristics in short channel δ-doped AlInAs/GaInAs HEMTs. - Javier Mateos; Tomás González; Daniel Pardo 004; Virginie Hoel; Alain Cappy (Microelectron. Reliab., 2001)

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

Langevin Forces and Generalized Transfer Fields for Noise Modelling in Deep Submicron Devices. - Pavel Shiktorov; Evjeni Starikov; Viktor Gruzinskis; Tomás González; Javier Mateos; Daniel Pardo 004; Luca Reggiani; Luca Varani; Jean Claude Vaissière (VLSI Design, 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)

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)

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)

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

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)

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

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)

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

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

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

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

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

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

General contourlet pansharpening method using Bayesian inference. - Israa Amro; Javier Mateos; Miguel Vega (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)

Bayesian super-resolution pansharpening using contourlets. - Israa Amro; Javier Mateos; Miguel Vega (ICIP, 2010)

Parameter estimation in the general contourlet pansharpening method using Bayesian inference. - Israa Amro; Javier Mateos; Miguel Vega (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)

Parameter estimation in Bayesian super-resolution pansharpening using contourlets. - Israa Amro; Javier Mateos; Miguel Vega (ICIP, 2011)

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

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)

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)

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)

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)

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)

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)

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

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)

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)

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

Modeling and Study of Two-BDT-Nanostructure based Sequential Logic Circuits. - Poorna Marthi; Sheikh Rufsan Reza; Nazir Hossain; Jean-François Millithaler; Martin Margala; Ignacio Iñiguez-de-la-Torre; Javier Mateos; Tomás González (ACM Great Lakes Symposium on VLSI, 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)

Design and Analysis of High Performance Ballistic Nanodevice-Based Sequential Circuits Using Monte Carlo and Verilog AMS Simulations. - Poorna Marthi; Nazir Hossain; Huan Wang 009; Jean-François Millithaler; Martin Margala; Ignacio Iñiguez-de-la-Torre; Javier Mateos; Tomás González (IEEE Trans. Circuits Syst. I Regul. Pap., 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)

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

A high performance Full Adder based on Ballistic Deflection Transistor technology. - Poorna Marthi; Nazir Hossain; Huan Wang 009; Jean-François Millithaler; Martin Margala; Ignacio Iñiguez-de-la-Torre; Javier Mateos; Tomás González (ISCAS, 2017)

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)

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)

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

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)

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)

Temperature and Gate-Length Dependence of Subthreshold RF Detection in GaN HEMTs. - Gaudencio Paz-Martínez; Ignacio Iñiguez-de-la-Torre; Héctor Sánchez-Martín; José Antonio Novoa-López; Virginie Hoel; Yvon Cordier; Javier Mateos; Tomás González (Sensors, 2022)

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

Collaborative Network for the Development of Non-Destructive Inspection Technologies: Elicitation Requirements in an Industrial Environment. - Joan Lario; Javier Mateos; Raul Poler; Ángel Ortiz (PRO-VE, 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)

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)

Deep Learning Applied to Automated Visual Defect Detection for Wind Towers Painting Process. - Joan Lario; Natalia P. García-de-la-Puente; Javier Mateos; Salih Aksu (DSA ISC (1), 2024)

Predictive Maintenance for CNC Machines: Empowering Operators with Real-Time Insights. - Miguel A. Mateo-Casalí; Javier Mateos; Faustino Alarcón; Francisco Fraile (DSA ISC (1), 2024)

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)

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)

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)

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)