| 2025 | ICIP | Variational Bayesian Dehazing With Atmospheric Scattering Model for Synthetic-to-Real Generalization. | Stepan Babayan, Francisco Javier Sez-Maldonado, Javier Mateos, Rafael Molina |
| 2025 | ICIP | Deep Sparse Prior: Enhancing Deblurring Deep Priors with Sparsity Constraints. | Francisco M. Castro-Macas, Miguel Vega, Rafael Molina |
| 2024 | ICIP | Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior. | Francisco M. Castro-Macas, Fernando Prez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos |
| 2023 | AIME | Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. | Miguel Lpez-Prez, Pablo Morales-lvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos |
| 2023 | AIME | A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. | Fernando Prez-Bueno, Kjersti Engan, Rafael Molina |
| 2023 | ICCV | Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation. | Arne Schmidt, Pablo Morales-lvarez, Rafael Molina |
| 2023 | ICIP | Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse. | Santiago Lpez-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos |
| 2023 | ICIP | Deep Bayesian Blind Color Deconvolution of Histological Images. | Shuowen Yang, Fernando Prez-Bueno, Francisco M. Castro-Macas, Rafael Molina, Aggelos K. Katsaggelos |
| 2023 | MICCAI | Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. | Yunan Wu, Francisco M. Castro-Macas, Pablo Morales-lvarez, Rafael Molina, Aggelos K. Katsaggelos |
| 2021 | ICLR | Activation-level uncertainty in deep neural networks. | Pablo Morales-Alvarez, Daniel Hernndez-Lobato, Rafael Molina, Jos Miguel Hernndez-Lobato |
| 2021 | MICCAI | Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection. | Yunan Wu, Arne Schmidt, Enrique Hernndez-Snchez, Rafael Molina, Aggelos K. Katsaggelos |
| 2021 | MIS4TEL | Learning AnalyTICs: Exploring the Hypothetical Learning Trajectories Through Mathematical Games. | John Pez, Juan Cobos, David Aguirre, Rafael Molina, Lina Lievano |
| 2020 | ICIP | Super Gaussian Priors for Blind Color Deconvolution of Histological Images. | Fernando Prez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos |
| 2019 | ICASSP | Spatially Adaptive Losses for Video Super-resolution with GANs. | Xijun Wang, Alice Lucas, Santiago Lopez Tapia, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos |
| 2019 | ICIP | Gan-Based Video Super-Resolution With Direct Regularized Inversion of the Low-Resolution Formation Model. | Santiago Lpez-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos |
| 2019 | ICIP | Efficient Fine-Tuning of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems. | Alice Lucas, Santiago Lpez-Tapia, Rafael Molina, Aggelos K. Katsaggelos |
| 2019 | IDEAL | Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor. | Miguel Lpez-Prez, Adrin Colomer, Mara . Sales, Rafael Molina, Valery Naranjo |
| 2018 | ICIP | Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach. | Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos |
| 2018 | ICIP | Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. | Alice Lucas, Aggelos K. Katsaggelos, Santiago Lopez Tapia, Rafael Molina |
| 2018 | IGARSS | Deep Gaussian Processes for Geophysical Parameter Retrieval. | Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Rafael Molina, Gustau Camps-Valls |
| 2018 | MICCAI | Fully Automated Blind Color Deconvolution of Histopathological Images. | Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos |
| 2017 | ICIP | Passive millimeter wave image classification with large scale Gaussian processes. | Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls, Aggelos K. Katsaggelos |
| 2017 | ICIP | Spike and slab variational inference for blind image deconvolution. | Juan G. Serra, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos |
| 2017 | ICIP | Greedy Bayesian double sparsity dictionary learning. | Juan G. Serra, Salvador Villena, Rafael Molina, Aggelos K. Katsaggelos |
| 2017 | IGARSS | Efficient remote sensing image classification with Gaussian processes and Fourier features. | Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls |
| 2016 | ICIP | Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation. | Javier Mateos, Antonio Lpez, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos |
| 2016 | ICIP | Bayesian logistic regression with sparse general representation prior for multispectral image classification. | Juan G. Serra, Pablo Ruiz, Rafael Molina, Aggelos K. Katsaggelos |
| 2015 | ICIP | Image super-resolution from compressed sensing observations. | Wael Saafin, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos |
| 2014 | ICIP | Learning filters in Gaussian process classification problems. | Pablo Ruiz, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos |
| 2014 | ICIP | Fast iteratively reweighted least squares for lp regularized image deconvolution and reconstruction. | Xu Zhou, Rafael Molina, Fugen Zhou, Aggelos K. Katsaggelos |
| 2012 | ECCV | Bayesian Blind Deconvolution with General Sparse Image Priors. | S. Derin Babacan, Rafael Molina, Minh N. Do, Aggelos K. Katsaggelos |
| 2012 | ICIP | Compressive sampling with unknown blurring function: Application to passive millimeter-wave imaging. | Bruno Amizic, Leonidas Spinoulas, Rafael Molina, Aggelos K. Katsaggelos |
| 2011 | ICASSP | Low-rank matrix completion by variational sparse Bayesian learning. | S. Derin Babacan, Martin Luessi, Rafael Molina, Aggelos K. Katsaggelos |
| 2011 | ICIP | Bayesian TV denoising of SAR images. | Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos |
| 2011 | ICIP | A novel iterative image restoration algorithm using nonstationary image priors. | Esteban Vera, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos |
| 2010 | ICASSP | Fast total variation image restoration with parameter estimation using bayesian inference. | Bruno Amizic, S. Derin Babacan, Michael K. Ng, Rafael Molina, Aggelos K. Katsaggelos |
| 2010 | ICASSP | Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation. | Martin Luessi, S. Derin Babacan, Rafael Molina, James R. Booth, Aggelos K. Katsaggelos |
| 2010 | ICIP | Sparse Bayesian image restoration. | S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos |
| 2010 | ICIP | Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction. | Salvador Villena, Miguel Vega, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos |
| 2009 | ACIVS | Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images. | Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos |
| 2009 | ICASSP | Fast bayesian compressive sensing using Laplace priors. | S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos |
| 2009 | ICIP | Compressive sensing of light fields. | S. Derin Babacan, Reto Ansorge, Martin Luessi, Rafael Molina, Aggelos K. Katsaggelos |
| 2009 | ICIP | Bayesian blind deconvolution from differently exposed image pairs. | S. Derin Babacan, Jingnan Wang, Rafael Molina, Aggelos K. Katsaggelos |
| 2009 | ICIP | Image restoration by mixture modelling of an overcomplete linear representation. | Luis Mancera, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos |
| 2009 | ICIP | Local Bayesian image restoration using variational methods and Gamma-Normal distributions. | Javier Mateos, Tom E. Bishop, Rafael Molina, Aggelos K. Katsaggelos |
| 2008 | ICASSP | Generalized Gaussian Markov random field image restoration using variational distribution approximation. | S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos |
| 2008 | ICIP | Total variation super resolution using a variational approach. | S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos |
| 2008 | ICIP | Blind restoration of blurred photographs via AR modelling and MCMC. | Tom E. Bishop, Rafael Molina, James R. Hopgood |
| 2008 | KES | Super Resolution of Multispectral Images Using TV Image Models. | Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos |
| 2007 | CAIP | Rectified Reconstruction from Stereo Pairs and Robot Mapping. | Antonio Javier Gallego, Rafael Molina, Patricia Compa, Carlos Villagr |
| 2007 | ICIP | Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation. | S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos |
| 2007 | ICIP | Nonstationary Blind Image Restoration using Variational Methods. | Tom E. Bishop, Rafael Molina, James R. Hopgood |
| 2007 | ICIP | From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations. | Rafael Molina, Miguel Vega, Aggelos K. Katsaggelos |
| 2006 | ICIP | Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques. | Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos |
| 2005 | IBPRIA | Bayesian Reconstruction for Transmission Tomography with Scale Hyperparameter Estimation. | Antonio Lpez, Rafael Molina, Aggelos K. Katsaggelos |
| 2005 | IBPRIA | Bayesian Reconstruction of Color Images Acquired with a Single CCD. | Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos |
| 2005 | ICIP | Approximations of posterior distributions in blind deconvolution using variational methods. | Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos |
| 2004 | CIARP | Estimation of High Resolution Images and Registration Parameters from Low Resolution Observations. | Salvador Villena, Javier Abad, Rafael Molina, Aggelos K. Katsaggelos |
| 2004 | ICIP | Motion estimation in high resolution image reconstruction from compressed video sequences. | Luis D. Alvarez, Rafael Molina, Aggelos K. Katsaggelos |
| 2003 | CIARP | Multi-channel Reconstruction of Video Sequences from Low-Resolution and Compressed Observations. | Luis D. Alvarez, Rafael Molina, Aggelos K. Katsaggelos |
| 2003 | IBPRIA | Bayesian SPECT Image Reconstruction with Scale Hyperparameter Estimation for Scalable Prior. | Antonio Lpez, Rafael Molina, Aggelos K. Katsaggelos |
| 2003 | IBPRIA | Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images. | Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos |
| 2003 | ICASSP | Parameter estimation in super-resolution image reconstruction problems. | Javier Abad, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos |
| 2003 | ICASSP | Bayesian high resolution image reconstruction with incomplete multisensor low resolution systems. | Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos |
| 2003 | ICIP | Bayesian parameter estimation in image reconstruction from subsampled blurred observations. | Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos |
| 2002 | ICASSP | Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations. | C. Andrew Segall, Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos |
| 2002 | ICPR | A General Multichannel Image Restoration Method Using Compound Models. | Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega |
| 2001 | ICASSP | SPECT image reconstruction using compound models. | Antonio Lpez, Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos |
| 2001 | ICIP | Bayesian high-resolution reconstruction of low-resolution compressed video. | Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, C. Andrew Segall |
| 2000 | ICASSP | Resolution enhancement of compressed low resolution video. | Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina |
| 2000 | ICASSP | Multichannel image restoration using compound Gauss-Markov random fields. | Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos |
| 2000 | ICIP | Simultaneous Motion Estimation and Resolution Enhancement of Compressed low Resolution Video. | Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina |
| 1999 | ICASSP | Bayesian image restoration using a wavelet-based subband decomposition. | Rafael Molina, Aggelos K. Katsaggelos, Javier Abad |
| 1999 | ICIP | Hyperparameter Estimation for Emission Computed Tomography Data. | Antonio Lpez, Rafael Molina, Aggelos K. Katsaggelos |
| 1998 | ICASSP | Remote sensing segmentation through a filter bank based on Gabor functions. | Jess D. Garca-Consuegra, Guillermo Cisneros, Jorge Ballesteros, Rafael Molina |
| 1998 | ICASSP | Hierarchical Bayesian image restoration from partially-known blurs. | Vladimir Z. Mesarovic, Nikolas P. Galatsanos, Rafael Molina, Aggelos K. Katsaggelos |
| 1998 | ICIP | Two Bayesian Image Restoration Algorithms from Partially-Known Blurs. | Nikolas P. Galatsanos, Vladimir Z. Mesarovic, Rafael Molina |
| 1998 | ICIP | Reduction of Blocking Artifacts in Block Transformed Compressed Color Images. | Javier Mateos, Carlos Ilia Herriz Montalvo, Blas C. Ruiz Jimnez, Rafael Molina, Aggelos K. Katsaggelos |
| 1997 | ICASSP | A Bayesian approach to blind deconvolution based on Dirichlet distributions. | Rafael Molina, Aggelos K. Katsaggelos, Javier Abad, Javier Mateos |
| 1996 | ICIP | Restoration of severely blurred high range images using compound models. | Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, Javier Abad |
| 1992 | ICPR | On the Bayesian deconvolution of planets. | Rafael Molina, Brian D. Ripley, Francisco J. Cortijo |
| 1992 | IPMU | Statistical Methods in Learning. | A. Sutherland, Bob Henery, Rafael Molina, Charles C. Taylor, Ross D. King |
| 1991 | ECSQARU | Learning with CASTLE. | Silvia Acid, Luis M. de Campos, Antonio Gonzlez, Rafael Molina, Nicolas Prez de la Blanca |