Rafael Molina - RankMe

263 papers A* 3A 1B 33C 9Misc 15Journal 123Unranked 77

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging the synthetic-to-real gap in single image dehazing. Digit. Signal Process. Stepan Babayan, Francisco Javier Sáez-Maldonado, Javier Mateos, Rafael Molina
2026	J	`jnl`	Probabilistic smooth attention for deep multiple instance learning in medical imaging. Pattern Recognit. Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2026	J	`jnl`	Torchmil: A PyTorch-based library for deep multiple instance learning. Neurocomputing Francisco M. Castro-Macías, Francisco Javier Sáez-Maldonado, Pablo Morales-Álvarez, Rafael Molina
2025	—	`conf`	Deep Bayesian Blind Color Deconvolution Using a Gaussian Scale Mixture Prior. EUSIPCO Francisco M. Castro-Macías, Miguel Vega, Fernando Pérez-Bueno, Rafael Molina, Aggelos K. Katsaggelos
2025	—	`conf`	Deep Sparse Prior: Enhancing Deblurring Deep Priors with Sparsity Constraints. ICIPW Francisco M. Castro-Macías, Miguel Vega, Rafael Molina
2025	J	`jnl`	LCNet: Lightweight Cycle Network Driven by Physical and Deep Prior for Compressed Sensing. IEEE Trans. Multim. Shuowen Yang, Fernando Pérez-Bueno, Hanlin Qin, Rafael Molina, Aggelos K. Katsaggelos
2025	J	`jnl`	Probabilistic smooth attention for deep multiple instance learning in medical imaging. CoRR Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2025	J	`jnl`	Spatially-Aware Loss Functions for GAN-Driven Super-Resolution. IEEE Access Xijun Wang, Santiago López-Tapia, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos
2025	J	`jnl`	Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning. IEEE Access Francisco Javier Sáez-Maldonado, Luz García, Lee A. D. Cooper, Jeffery A. Goldstein, Rafael Molina, Aggelos K. Katsaggelos
2025	—	`conf`	Variational Bayesian Dehazing With Atmospheric Scattering Model for Synthetic-to-Real Generalization. ICIPW Stepan Babayan, Francisco Javier Sáez-Maldonado, Javier Mateos, Rafael Molina
2025	J	`jnl`	torchmil: A PyTorch-based library for deep Multiple Instance Learning. CoRR Francisco M. Castro-Macías, Francisco Javier Sáez-Maldonado, Pablo Morales-Álvarez, Rafael Molina
2024	J	`jnl`	A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models. CoRR Xijun Wang, Santiago López-Tapia, Alice Lucas, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos
2024	J	`jnl`	An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection. Expert Syst. Appl. Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
2024	J	`jnl`	Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images. Comput. Medical Imaging Graph. Neel Kanwal, Miguel López-Pérez, Umay Kiraz, Tahlita C. M. Zuiverloon, Rafael Molina, Kjersti Engan
2024	J	`jnl`	BCD-net: Stain separation of histological images using deep variational Bayesian blind color deconvolution. Digit. Signal Process. Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos
2024	B	`conf`	Bayesian Blind Image Deconvolution using an Hyperbolic-Secant prior. ICIP Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2024	—	`conf`	Blind Color Deconvolution and Classification of Histological Images Using the Hyperbolic Secant Prior. ISBI Francisco M. Castro-Macías, Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2024	J	`jnl`	Focused Active Learning for Histopathological Image Classification. CoRR Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Aggelos K. Katsaggelos, Rafael Molina
2024	J	`jnl`	Focused active learning for histopathological image classification. Medical Image Anal. Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos
2024	J	`jnl`	Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. Artif. Intell. Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024	J	`jnl`	Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. CoRR Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024	J	`jnl`	Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images. Pattern Recognit. Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina
2024	J	`jnl`	Learning from crowds for automated histopathological image segmentation. Comput. Medical Imaging Graph. Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Christopher Felicelli, Jeffery A. Goldstein, Brian Vadasz, Rafael Molina, Aggelos K. Katsaggelos
2024	J	`jnl`	Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning. IEEE Trans. Neural Networks Learn. Syst. Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2024	J	`jnl`	Real-Time Lightweight Video Super-Resolution With RRED-Based Perceptual Constraint. IEEE Trans. Circuits Syst. Video Technol. Xinyi Wu, Santiago López-Tapia, Xijun Wang, Rafael Molina, Aggelos K. Katsaggelos
2024	J	`jnl`	Robust blind color deconvolution and blood detection on histological images using Bayesian K-SVD. Artif. Intell. Medicine Fernando Pérez-Bueno, Kjersti Engan, Rafael Molina
2024	A*	`conf`	Sm: enhanced localization in Multiple Instance Learning for medical imaging classification. NeurIPS Francisco M. Castro-Macías, Pablo Morales-Alvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024	J	`jnl`	Sm: enhanced localization in Multiple Instance Learning for medical imaging classification. CoRR Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2024	J	`jnl`	The CrowdGleason dataset: Learning the Gleason grade from crowds and experts. Comput. Methods Programs Biomed. Miguel López-Pérez, Alba Morquecho, Arne Schmidt, Fernando Pérez-Bueno, Aurelio Martín-Castro, Javier Mateos, Rafael Molina
2023	B	`conf`	A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images. AIME Fernando Pérez-Bueno, Kjersti Engan, Rafael Molina
2023	J	`jnl`	Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset. Artif. Intell. Medicine Rocío del Amor, Jose Pérez-Cano, Miguel López-Pérez, Liria Terradez, José Aneiros-Fernández, Sandra Morales, Javier Mateos, Rafael Molina, Valery Naranjo
2023	B	`conf`	Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students. AIME Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
2023	B	`conf`	Deep Bayesian Blind Color Deconvolution of Histological Images. ICIP Shuowen Yang, Fernando Pérez-Bueno, Francisco M. Castro-Macías, Rafael Molina, Aggelos K. Katsaggelos
2023	J	`jnl`	Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification. IEEE Access Miguel López-Pérez, Pablo Morales-Álvarez, Lee A. D. Cooper, Rafael Molina, Aggelos K. Katsaggelos
2023	B	`conf`	Deep Robust Image Restoration Using the Moore-Penrose Blur Inverse. ICIP Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2023	J	`jnl`	Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images. CoRR Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina
2023	J	`jnl`	Learning Moore-Penrose based residuals for robust non-blind image deconvolution. Digit. Signal Process. Santiago López-Tapia, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2023	J	`jnl`	Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection. CoRR Fernando Pérez-Bueno, Luz García, Gabriel Maciá-Fernández, Rafael Molina
2023	J	`jnl`	Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning. CoRR Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2023	A*	`conf`	Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation. ICCV Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2023	J	`jnl`	Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation. CoRR Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2023	J	`jnl`	Probabilistic fusion of crowds and experts for the search of gravitational waves. Knowl. Based Syst. Pablo Ruiz, Pablo Morales-Álvarez, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos
2023	—	`conf`	Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. MICCAI (5) Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
2023	J	`jnl`	Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. CoRR Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
2022	J	`jnl`	Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification. Comput. Medical Imaging Graph. Fernando Pérez-Bueno, Juan G. Serra, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2022	J	`jnl`	Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection. Comput. Methods Programs Biomed. Miguel López-Pérez, Arne Schmidt, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2022	J	`jnl`	Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning. IEEE Access Arne Schmidt, Julio Silva-Rodríguez, Rafael Molina, Valery Naranjo
2022	J	`jnl`	Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection. IEEE/ACM Trans. Netw. Fernando Pérez-Bueno, Luz García, Gabriel Maciá-Fernández, Rafael Molina
2022	J	`jnl`	Proportion constrained weakly supervised histopathology image classification. Comput. Biol. Medicine Julio Silva-Rodríguez, Arne Schmidt, María Á. Sales, Rafael Molina, Valery Naranjo
2022	J	`jnl`	Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO. IEEE Trans. Pattern Anal. Mach. Intell. Pablo Morales-Álvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos
2022	J	`jnl`	The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review. IEEE Access Neel Kanwal, Fernando Pérez-Bueno, Arne Schmidt, Kjersti Engan, Rafael Molina
2021	J	`jnl`	A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes. IEEE Trans. Geosci. Remote. Sens. Miguel López-Pérez, Luz García, M. Carmen Benítez, Rafael Molina
2021	A*	`conf`	Activation-level uncertainty in deep neural networks. ICLR Pablo Morales-Alvarez, Daniel Hernández-Lobato, Rafael Molina, José Miguel Hernández-Lobato
2021	J	`jnl`	Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference. Comput. Methods Programs Biomed. Fernando Pérez-Bueno, Miguel Vega, María Á. Sales, José Aneiros-Fernández, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
2021	—	`conf`	Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection. MICCAI (2) Yunan Wu, Arne Schmidt, Enrique Hernández-Sánchez, Rafael Molina, Aggelos K. Katsaggelos
2021	J	`jnl`	Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion. CoRR Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Ana Belen Ruescas, Rafael Molina, Gustau Camps-Valls
2021	J	`jnl`	Deep learning approaches to inverse problems in imaging: Past, present and future. Digit. Signal Process. Santiago López-Tapia, Rafael Molina, Aggelos K. Katsaggelos
2021	J	`jnl`	Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection. CoRR Julio Silva-Rodríguez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo
2020	J	`jnl`	A TV-based image processing framework for blind color deconvolution and classification of histological images. Digit. Signal Process. Fernando Pérez-Bueno, Miguel López-Pérez, Miguel Vega, Javier Mateos, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
2020	J	`jnl`	A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models. Digit. Signal Process. Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos
2020	J	`jnl`	Deep Gaussian Processes for geophysical parameter retrieval. CoRR Daniel Heestermans Svendsen, Pablo Morales-Álvarez, Rafael Molina, Gustau Camps-Valls
2020	—	`conf`	Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians. EUSIPCO Fernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
2020	—	`conf`	Gated Recurrent Networks for Video Super Resolution. EUSIPCO Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos
2020	J	`jnl`	Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection. Comput. Methods Programs Biomed. Julio Silva-Rodríguez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo
2020	J	`jnl`	Parameter-Free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy. IEEE Trans. Image Process. Xu Zhou, Rafael Molina, Yi Ma, Tianfu Wang, Dong Ni
2020	B	`conf`	Super Gaussian Priors for Blind Color Deconvolution of Histological Images. ICIP Fernando Pérez-Bueno, Miguel Vega, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
2020	J	`jnl`	Variational Bayesian Blind Color Deconvolution of Histopathological Images. IEEE Trans. Image Process. Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2020	J	`jnl`	Variational Bayesian Pansharpening with Super-Gaussian Sparse Image Priors. Sensors Fernando Pérez-Bueno, Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2019	—	`conf`	A Composite Discriminator for Generative Adversarial Network based Video Super-Resolution. EUSIPCO Xijun Wang, Alice Lucas, Santiago Lopez Tapia, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos
2019	J	`jnl`	A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models. CoRR Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos
2019	J	`jnl`	A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes. Comput. Methods Programs Biomed. Ángel E. Esteban, Miguel López-Pérez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo
2019	—	`conf`	Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor. IDEAL (1) Miguel López-Pérez, Adrián Colomer, María Á. Sales, Rafael Molina, Valery Naranjo
2019	J	`jnl`	Deep CNNs for Object Detection Using Passive Millimeter Sensors. IEEE Trans. Circuits Syst. Video Technol. Santiago López-Tapia, Rafael Molina, Nicolás Pérez de la Blanca
2019	B	`conf`	Efficient Fine-Tuning of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems. ICIP Alice Lucas, Santiago López-Tapia, Rafael Molina, Aggelos K. Katsaggelos
2019	B	`conf`	Gan-Based Video Super-Resolution With Direct Regularized Inversion of the Low-Resolution Formation Model. ICIP Santiago López-Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos
2019	J	`jnl`	Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. IEEE Trans. Image Process. Alice Lucas, Santiago Lopez Tapia, Rafael Molina, Aggelos K. Katsaggelos
2019	J	`jnl`	Learning from crowds with variational Gaussian processes. Pattern Recognit. Pablo Ruiz, Pablo Morales-Alvarez, Rafael Molina, Aggelos K. Katsaggelos
2019	—	`conf`	Multiple-Degradation Video Super-Resolution with Direct Inversion of the Low-Resolution Formation Model. EUSIPCO Santiago Lopez Tapia, Alice Lucas, Rafael Molina, Aggelos K. Katsaggelos
2019	J	`jnl`	Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO. CoRR Pablo Morales-Alvarez, Pablo Ruiz, Scott Coughlin, Rafael Molina, Aggelos K. Katsaggelos
2019	J	`jnl`	Scalable and efficient learning from crowds with Gaussian processes. Inf. Fusion Pablo Morales-Alvarez, Pablo Ruiz, Raúl Santos-Rodríguez, Rafael Molina, Aggelos K. Katsaggelos
2019	J	`jnl`	Self-Supervised Fine-tuning for Image Enhancement of Super-Resolution Deep Neural Networks. CoRR Alice Lucas, Santiago Lopez Tapia, Rafael Molina, Aggelos K. Katsaggelos
2019	—	`conf`	Semantic Prior Based Generative Adversarial Network for Video Super-Resolution. EUSIPCO Xinyi Wu, Alice Lucas, Santiago López-Tapia, Xijun Wang, Yul Hee Kim, Rafael Molina, Aggelos K. Katsaggelos
2019	Misc	`conf`	Spatially Adaptive Losses for Video Super-resolution with GANs. ICASSP Xijun Wang, Alice Lucas, Santiago Lopez Tapia, Xinyi Wu, Rafael Molina, Aggelos K. Katsaggelos
2019	—	`conf`	Variational Bayes Color Deconvolution with a Total Variation Prior. EUSIPCO Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2019	J	`jnl`	Variational EM method for blur estimation using the spike-and-slab image prior. Digit. Signal Process. Juan G. Serra, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2018	B	`conf`	Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach. ICIP Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2018	C	`conf`	Deep Gaussian Processes for Geophysical Parameter Retrieval. IGARSS Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Rafael Molina, Gustau Camps-Valls
2018	—	`conf`	Fully Automated Blind Color Deconvolution of Histopathological Images. MICCAI (2) Natalia Hidalgo-Gavira, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2018	B	`conf`	Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. ICIP Alice Lucas, Aggelos K. Katsaggelos, Santiago Lopez Tapia, Rafael Molina
2018	J	`jnl`	Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution. CoRR Alice Lucas, Santiago Lopez Tapia, Rafael Molina, Aggelos K. Katsaggelos
2018	—	`conf`	Hard Exudate Detection Using Local Texture Analysis and Gaussian Processes. ICIAR Adrián Colomer, Pablo Ruiz, Valery Naranjo, Rafael Molina, Aggelos K. Katsaggelos
2018	J	`jnl`	Image super-resolution for outdoor digital forensics. Usability and legal aspects. Comput. Ind. Salvador Villena, Miguel Vega, Javier Mateos, Duska Rosenberg, Fionn Murtagh, Rafael Molina, Aggelos K. Katsaggelos
2018	J	`jnl`	Remote Sensing Image Classification With Large-Scale Gaussian Processes. IEEE Trans. Geosci. Remote. Sens. Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls
2018	J	`jnl`	Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods. IEEE Signal Process. Mag. Alice Lucas, Michael Iliadis, Rafael Molina, Aggelos K. Katsaggelos
2018	J	`jnl`	Using machine learning to detect and localize concealed objects in passive millimeter-wave images. Eng. Appl. Artif. Intell. Santiago Lopez Tapia, Rafael Molina, Nicolas Pérez de la Blanca
2018	J	`jnl`	Variational Gaussian process for multisensor classification problems. Pattern Recognit. Lett. Neda Rohani, Pablo Ruiz, Rafael Molina, Aggelos K. Katsaggelos
2017	J	`jnl`	Bayesian K-SVD Using Fast Variational Inference. IEEE Trans. Image Process. Juan G. Serra, Matteo Testa, Rafael Molina, Aggelos K. Katsaggelos
2017	C	`conf`	Efficient remote sensing image classification with Gaussian processes and Fourier features. IGARSS Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls
2017	J	`jnl`	Fast Bayesian blind deconvolution with Huber Super Gaussian priors. Digit. Signal Process. Xu Zhou, Miguel Vega, Fugen Zhou, Rafael Molina, Aggelos K. Katsaggelos
2017	B	`conf`	Greedy Bayesian double sparsity dictionary learning. ICIP Juan G. Serra, Salvador Villena, Rafael Molina, Aggelos K. Katsaggelos
2017	—	`conf`	Parameter estimation in spike and slab variational inference for blind image deconvolution. EUSIPCO Juan G. Serra, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2017	B	`conf`	Passive millimeter wave image classification with large scale Gaussian processes. ICIP Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls, Aggelos K. Katsaggelos
2017	J	`jnl`	Remote Sensing Image Classification with Large Scale Gaussian Processes. CoRR Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls
2017	J	`jnl`	Robust and Low-Rank Representation for Fast Face Identification With Occlusions. IEEE Trans. Image Process. Michael Iliadis, Haohong Wang, Rafael Molina, Aggelos K. Katsaggelos
2017	B	`conf`	Spike and slab variational inference for blind image deconvolution. ICIP Juan G. Serra, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2016	B	`conf`	Bayesian logistic regression with sparse general representation prior for multispectral image classification. ICIP Juan G. Serra, Pablo Ruiz, Rafael Molina, Aggelos K. Katsaggelos
2016	—	`conf`	Classification of multiple annotator data using variational Gaussian process inference. EUSIPCO Emre Besler, Pablo Ruiz, Rafael Molina, Aggelos K. Katsaggelos
2016	—	`conf`	Compressed sensing super resolution of color images. EUSIPCO Wael Saafin, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2016	J	`jnl`	Compressive sensing super resolution from multiple observations with application to passive millimeter wave images. Digit. Signal Process. Wael Alsaafin, Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2016	—	`conf`	Detection and localization of objects in Passive Millimeter Wave Images. EUSIPCO Santiago Lopez Tapia, Rafael Molina, Nicolas Pérez de la Blanca
2016	J	`jnl`	Joint Data Filtering and Labeling Using Gaussian Processes and Alternating Direction Method of Multipliers. IEEE Trans. Image Process. Pablo Ruiz Matarán, Rafael Molina, Aggelos K. Katsaggelos
2016	B	`conf`	Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation. ICIP Javier Mateos, Antonio López, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2016	J	`jnl`	Robust and Low-Rank Representation for Fast Face Identification with Occlusions. CoRR Michael Iliadis, Haohong Wang, Rafael Molina, Aggelos K. Katsaggelos
2016	—	`conf`	Variational Gaussian process for missing label crowdsourcing classification problems. MLSP Pablo Ruiz, Emre Besler, Rafael Molina, Aggelos K. Katsaggelos
2015	J	`jnl`	Audiovisual Fusion: Challenges and New Approaches. Proc. IEEE Aggelos K. Katsaggelos, Sara Bahaadini, Rafael Molina
2015	—	`conf`	Fast millimeter wave threat detection algorithm. EUSIPCO I. Gomez Maqueda, Nicolas Pérez de la Blanca, Rafael Molina, Aggelos K. Katsaggelos
2015	B	`conf`	Image super-resolution from compressed sensing observations. ICIP Wael Saafin, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2015	—	`conf`	PMMW image super resolution from compressed sensing observations. EUSIPCO Wael Saafin, Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2015	J	`jnl`	Robust Recovery of Temporally Smooth Signals From Under-Determined Multiple Measurements. IEEE Trans. Signal Process. Zhaofu Chen, Rafael Molina, Aggelos K. Katsaggelos
2015	J	`jnl`	Variational Bayesian Blind Image Deconvolution: A review. Digit. Signal Process. Pablo Ruiz, Xu Zhou, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2015	J	`jnl`	Variational Dirichlet Blur Kernel Estimation. IEEE Trans. Image Process. Xu Zhou, Javier Mateos, Fugen Zhou, Rafael Molina, Aggelos K. Katsaggelos
2015	—	`conf`	Variational Gaussian process for sensor fusion. EUSIPCO Neda Rohani, Pablo Ruiz, Emre Besler, Rafael Molina, Aggelos K. Katsaggelos
2014	J	`jnl`	A non-stationary image prior combination in super-resolution. Digit. Signal Process. Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2014	J	`jnl`	Automated Recovery of Compressedly Observed Sparse Signals From Smooth Background. IEEE Signal Process. Lett. Zhaofu Chen, Rafael Molina, Aggelos K. Katsaggelos
2014	J	`jnl`	Bayesian Active Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Pablo Ruiz, Javier Mateos, Gustavo Camps-Valls, Rafael Molina, Aggelos K. Katsaggelos
2014	—	`conf`	Bayesian classification and active learning using lp-priors. Application to image segmentation. EUSIPCO Pablo Ruiz, Nicolas Pérez de la Blanca, Rafael Molina, Aggelos K. Katsaggelos
2014	J	`jnl`	Combining Poisson singular integral and total variation prior models in image restoration. Signal Process. Pablo Ruiz, Hiram Madero Orozco, Javier Mateos, Osslan Osiris Vergara-Villegas, Rafael Molina, Aggelos K. Katsaggelos
2014	B	`conf`	Fast iteratively reweighted least squares for lp regularized image deconvolution and reconstruction. ICIP Xu Zhou, Rafael Molina, Fugen Zhou, Aggelos K. Katsaggelos
2014	B	`conf`	Learning filters in Gaussian process classification problems. ICIP Pablo Ruiz, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2014	—	`conf`	Parameter estimation in Bayesian Blind Deconvolution with super Gaussian image priors. EUSIPCO Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2014	—	`conf`	Recovery of correlated sparse signals from under-sampled measurements. EUSIPCO Zhaofu Chen, Rafael Molina, Aggelos K. Katsaggelos
2014	—	`conf`	Technological Ecosystem for Open Education. IDT/IIMSS/STET Faraón Llorens, Rafael Molina, Patricia Compañ, Rosana Satorre
2014	J	`jnl`	Toward Dynamic Scene Understanding by Hierarchical Motion Pattern Mining. IEEE Trans. Intell. Transp. Syst. Lei Song, Fan Jiang, Zhongke Shi, Rafael Molina, Aggelos K. Katsaggelos
2014	J	`jnl`	Variational Bayesian Methods For Multimedia Problems. IEEE Trans. Multim. Zhaofu Chen, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2014	J	`jnl`	Variational Bayesian causal connectivity analysis for fMRI. Frontiers Neuroinformatics Martin Luessi, S. Derin Babacan, Rafael Molina, James R. Booth, Aggelos K. Katsaggelos
2014	—	`conf`	¿Puede un videojuego ayudarnos a predecir los resultados de aprendizaje? CoSECivi Ana Illanas, Faraón Llorens, Rafael Molina, Francisco José Gallego-Durán, Patricia Compañ, Rosana Satorre, Carlos Villagrá
2013	J	`jnl`	A Variational Approach for Sparse Component Estimation and Low-Rank Matrix Recovery. J. Commun. Zhaofu Chen, Rafael Molina, Aggelos K. Katsaggelos
2013	—	`conf`	A general sparse image prior combination in Compressed Sensing. EUSIPCO Jorge Rubio, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2013	—	`conf`	A general sparse image prior combination in super-resolution. DSP Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2013	J	`jnl`	Bayesian Simultaneous Sparse Approximation With Smooth Signals. IEEE Trans. Signal Process. Martin Luessi, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2013	J	`jnl`	Bayesian combination of sparse and non-sparse priors in image super resolution. Digit. Signal Process. Salvador Villena, Miguel Vega, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2013	J	`jnl`	Compressive Blind Image Deconvolution. IEEE Trans. Image Process. Bruno Amizic, Leonidas Spinoulas, Rafael Molina, Aggelos K. Katsaggelos
2013	—	`conf`	Image deblurring combining poisson singular integral and total variation prior models. EUSIPCO Hiram Madero Orozco, Pablo Ruiz, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2013	—	`ch.`	Interactive Pansharpening and Active Classification in Remote Sensing. Multimodal Interaction in Image and Video Applications Pablo Ruiz, Javier Mateos, Gustavo Camps-Valls, Rafael Molina, Aggelos K. Katsaggelos
2013	—	`conf`	Light field acquisition from blurred observations using a programmable coded aperture camera. EUSIPCO Pablo Ruiz, Javier Mateos, María C. Cárdenas, Shinichi Nakajima, Rafael Molina, Aggelos K. Katsaggelos
2013	J	`jnl`	Space-variant blur deconvolution and denoising in the dual exposure problem. Inf. Fusion Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2013	—	`conf`	Variational Bayesian compressive blind image deconvolution. EUSIPCO Bruno Amizic, Leonidas Spinoulas, Rafael Molina, Aggelos K. Katsaggelos
2012	—	`conf`	Bayesian Blind Deconvolution with General Sparse Image Priors. ECCV (6) S. Derin Babacan, Rafael Molina, Minh N. Do, Aggelos K. Katsaggelos
2012	J	`jnl`	Compressive Light Field Sensing. IEEE Trans. Image Process. S. Derin Babacan, Reto Ansorge, Martin Luessi, Pablo Ruiz Matarán, Rafael Molina, Aggelos K. Katsaggelos
2012	B	`conf`	Compressive sampling with unknown blurring function: Application to passive millimeter-wave imaging. ICIP Bruno Amizic, Leonidas Spinoulas, Rafael Molina, Aggelos K. Katsaggelos
2012	—	`conf`	Hyperparameters estimation for the Bayesian localization of the EEG sources with TV priors. EUSIPCO Antonio López, Jesús M. Cortés, Domingo López-Oller, Rafael Molina, Aggelos K. Katsaggelos
2012	—	`conf`	Simultaneous Bayesian compressive sensing and blind deconvolution. EUSIPCO Leonidas Spinoulas, Bruno Amizic, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2012	J	`jnl`	Sparse Bayesian Methods for Low-Rank Matrix Estimation. IEEE Trans. Signal Process. S. Derin Babacan, Martin Luessi, Rafael Molina, Aggelos K. Katsaggelos
2012	J	`jnl`	Sparse Bayesian blind image deconvolution with parameter estimation. EURASIP J. Image Video Process. Bruno Amizic, Rafael Molina, Aggelos K. Katsaggelos
2012	—	`conf`	Upsampling and denoising of depth maps via joint-segmentation. EUSIPCO Miguel Tallon, S. Derin Babacan, Javier Mateos, Minh N. Do, Rafael Molina, Aggelos K. Katsaggelos
2011	—	`conf`	A Bayesian Active Learning Framework for a Two-Class Classification Problem. MUSCLE Pablo Ruiz, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2011	B	`conf`	A novel iterative image restoration algorithm using nonstationary image priors. ICIP Esteban Vera, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2011	J	`jnl`	A survey of classical methods and new trends in pansharpening of multispectral images. EURASIP J. Adv. Signal Process. Israa Amro, Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2011	B	`conf`	Bayesian TV denoising of SAR images. ICIP Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2011	—	`conf`	Bayesian partial out-of-focus blur removal with parameter estimation. EUSIPCO Bruno Amizic, Rafael Molina, Aggelos K. Katsaggelos
2011	J	`jnl`	Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors. NeuroImage Martin Luessi, S. Derin Babacan, Rafael Molina, James R. Booth, Aggelos K. Katsaggelos
2011	C	`conf`	Image prior combination in space-variant blur deconvolution for the dual exposure problem. ISPA Miguel Tallon, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2011	Misc	`conf`	Low-rank matrix completion by variational sparse Bayesian learning. ICASSP S. Derin Babacan, Martin Luessi, Rafael Molina, Aggelos K. Katsaggelos
2011	C	`conf`	Retrieval of video clips with missing frames using sparse Bayesian reconstruction. ISPA Pablo Ruiz, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2011	—	`conf`	Space-variant kernel deconvolution for dual exposure problem. EUSIPCO Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2011	J	`jnl`	Super Resolution of Multispectral Images using ℓ1 Image Models and Interband Correlations. J. Signal Process. Syst. Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2011	J	`jnl`	Variational Bayesian Super Resolution. IEEE Trans. Image Process. S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2011	A	`conf`	Video retrieval using sparse Bayesian reconstruction. ICME Pablo Ruiz, S. Derin Babacan, Li Gao, Zhu Li, Rafael Molina, Aggelos K. Katsaggelos
2010	J	`jnl`	Bayesian Blind Deconvolution From Differently Exposed Image Pairs. IEEE Trans. Image Process. S. Derin Babacan, Jingnan Wang, Rafael Molina, Aggelos K. Katsaggelos
2010	J	`jnl`	Bayesian Compressive Sensing Using Laplace Priors. IEEE Trans. Image Process. S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2010	—	`conf`	Combining observation models in dual exposure problems using the Kullback-Leibler divergence. EUSIPCO Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2010	Misc	`conf`	Fast total variation image restoration with parameter estimation using bayesian inference. ICASSP Bruno Amizic, S. Derin Babacan, Michael K. Ng, Rafael Molina, Aggelos K. Katsaggelos
2010	—	`conf`	Image prior combination in super-resolution image reconstruction. EUSIPCO Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2010	—	`conf`	Sparse Bayesian blind image deconvolution with parameter estimation. EUSIPCO Bruno Amizic, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2010	B	`conf`	Sparse Bayesian image restoration. ICIP S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2010	Misc	`conf`	Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation. ICASSP Martin Luessi, S. Derin Babacan, Rafael Molina, James R. Booth, Aggelos K. Katsaggelos
2010	B	`conf`	Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction. ICIP Salvador Villena, Miguel Vega, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2010	J	`jnl`	Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors. IEEE Trans. Image Process. Giannis K. Chantas, Nikolas P. Galatsanos, Rafael Molina, Aggelos K. Katsaggelos
2010	—	`conf`	Variational Bayesian inference image restoration using a product of total variation-like image priors. CIP Giannis K. Chantas, Nikolaos Galatsanos, Rafael Molina, Aggelos K. Katsaggelos
2009	B	`conf`	Bayesian blind deconvolution from differently exposed image pairs. ICIP S. Derin Babacan, Jingnan Wang, Rafael Molina, Aggelos K. Katsaggelos
2009	B	`conf`	Compressive sensing of light fields. ICIP S. Derin Babacan, Reto Ansorge, Martin Luessi, Rafael Molina, Aggelos K. Katsaggelos
2009	Misc	`conf`	Fast bayesian compressive sensing using Laplace priors. ICASSP S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2009	J	`jnl`	Guest Editorial. Comput. J. Aggelos K. Katsaggelos, Rafael Molina
2009	B	`conf`	Image restoration by mixture modelling of an overcomplete linear representation. ICIP Luis Mancera, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2009	—	`conf`	L1 prior majorization in Bayesian image restoration. DPS Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2009	B	`conf`	Local Bayesian image restoration using variational methods and Gamma-Normal distributions. ICIP Javier Mateos, Tom E. Bishop, Rafael Molina, Aggelos K. Katsaggelos
2009	—	`conf`	Non-convex priors in Bayesian compressed sensing. EUSIPCO S. Derin Babacan, Luis Mancera, Rafael Molina, Aggelos K. Katsaggelos
2009	B	`conf`	Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images. ACIVS Salvador Villena, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2009	J	`jnl`	Super-Resolution of Multispectral Images. Comput. J. Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2009	J	`jnl`	Variational Bayesian Blind Deconvolution Using a Total Variation Prior. IEEE Trans. Image Process. S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2008	B	`conf`	Blind restoration of blurred photographs via AR modelling and MCMC. ICIP Tom E. Bishop, Rafael Molina, James R. Hopgood
2008	Misc	`conf`	Generalized Gaussian Markov random field image restoration using variational distribution approximation. ICASSP S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2008	J	`jnl`	Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation. IEEE Trans. Image Process. S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2008	—	`conf`	Parameter estimation in total variation blind deconvolution. EUSIPCO S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2008	—	`conf`	Super Resolution of Multispectral Images Using TV Image Models. KES (3) Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2008	B	`conf`	Total variation super resolution using a variational approach. ICIP S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2008	—	`conf`	Using Logarithmic Opinion Pooling Techniques in Bayesian Blind Multi-Channel Restoration. VISAPP (1) Bruno Amizic, Aggelos K. Katsaggelos, Rafael Molina
2007	—	`conf`	3D Reconstruction and Mapping from Stereo Pairs with Geometrical Rectification. BVAI Antonio Javier Gallego, Rafael Molina, Patricia Compañ, Carlos Villagrá
2007	—	`conf`	From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations. ICIP (1) Rafael Molina, Miguel Vega, Aggelos K. Katsaggelos
2007	—	`conf`	Nonstationary Blind Image Restoration using Variational Methods. ICIP (1) Tom E. Bishop, Rafael Molina, James R. Hopgood
2007	C	`conf`	Rectified Reconstruction from Stereo Pairs and Robot Mapping. CAIP Antonio Javier Gallego, Rafael Molina, Patricia Compañ, Carlos Villagrá
2007	J	`jnl`	Region-based super-resolution for compression. Multidimens. Syst. Signal Process. Dácil Barreto, Luis D. Alvarez, Rafael Molina, Aggelos K. Katsaggelos, Gustavo M. Callicó
2007	—	`book`	Super Resolution of Images and Video Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos
2007	—	`conf`	Super resolution of multispectral images using locally adaptive models. EUSIPCO Rafael Molina, Javier Mateos, Miguel Vega, Aggelos K. Katsaggelos
2007	—	`conf`	Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation. ICIP (1) S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2007	—	`conf`	Total variation blind deconvolution using a variational approach to parameter, image, and blur estimation. EUSIPCO S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
2007	—	`conf`	Variational posterior distribution approximation in bayesian emission tomography reconstruction using a gamma mixture prior. VISAPP (Special Sessions) Rafael Molina, Antonio López, José Manuel Martín, Aggelos K. Katsaggelos
2006	J	`jnl`	A Bayesian Super-Resolution Approach to Demosaicing of Blurred Images. EURASIP J. Adv. Signal Process. Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2006	J	`jnl`	Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation. IEEE Trans. Image Process. Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos
2006	—	`conf`	Distance histogram to centroid as a unique feature to recognize objects. VISAPP (1) Pilar Arques, Rafael Molina, Mar Pujol, Ramón Rizo
2006	—	`conf`	Hierarchical Bayesian super resolution reconstruction of multispectral images. EUSIPCO Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos
2006	B	`conf`	Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques. ICIP Rafael Molina, Miguel Vega, Javier Mateos, Aggelos K. Katsaggelos
2006	—	`conf`	Transmission Tomography Reconstruction Using Compound Gauss-Markov Random Fields and Ordered Subsets. ICIAR (2) Antonio López, José Manuel Martín, Rafael Molina, Aggelos K. Katsaggelos
2005	—	`conf`	3D Robot Mapping: Combining Active and Non Active Sensors in a Probabilistic Framework. CAEPIA Fidel Aznar Gregori, Mireia Sempere, Mar Pujol, Ramón Rizo, Rafael Molina
2005	—	`conf`	Approximations of posterior distributions in blind deconvolution using variational methods. ICIP (2) Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2005	—	`conf`	Bayesian Reconstruction for Transmission Tomography with Scale Hyperparameter Estimation. IbPRIA (2) Antonio López, Rafael Molina, Aggelos K. Katsaggelos
2005	—	`conf`	Bayesian Reconstruction of Color Images Acquired with a Single CCD. IbPRIA (1) Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2004	J	`jnl`	Bayesian resolution enhancement of compressed video. IEEE Trans. Image Process. C. Andrew Segall, Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos
2004	C	`conf`	Estimation of High Resolution Images and Registration Parameters from Low Resolution Observations. CIARP Salvador Villena, Javier Abad, Rafael Molina, Aggelos K. Katsaggelos
2004	J	`jnl`	High-resolution images from compressed low-resolution video: Motion estimation and observable pixels. Int. J. Imaging Syst. Technol. Luis D. Alvarez, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2004	B	`conf`	Motion estimation in high resolution image reconstruction from compressed video sequences. ICIP Luis D. Alvarez, Rafael Molina, Aggelos K. Katsaggelos
2004	J	`jnl`	Parameter estimation in Bayesian reconstruction of SPECT images: An aid in nuclear medicine diagnosis. Int. J. Imaging Syst. Technol. Antonio López, Rafael Molina, Aggelos K. Katsaggelos, Antonio Rodriguez, José M. López, José M. Llamas-Elvira
2003	Misc	`conf`	Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images. IbPRIA Javier Mateos, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2003	Misc	`conf`	Bayesian SPECT Image Reconstruction with Scale Hyperparameter Estimation for Scalable Prior. IbPRIA Antonio López, Rafael Molina, Aggelos K. Katsaggelos
2003	—	`conf`	Bayesian high resolution image reconstruction with incomplete multisensor low resolution systems. ICASSP (3) Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2003	J	`jnl`	Bayesian multichannel image restoration using compound Gauss-Markov random fields. IEEE Trans. Image Process. Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega
2003	—	`conf`	Bayesian parameter estimation in image reconstruction from subsampled blurred observations. ICIP (2) Miguel Vega, Javier Mateos, Rafael Molina, Aggelos K. Katsaggelos
2003	—	`conf`	Bayesian super-resolution of text image sequences from low resolution observations. ISSPA (1) Francisco J. Cortijo, Salvador Villena, Rafael Molina, Aggelos K. Katsaggelos
2003	J	`jnl`	High-resolution images from low-resolution compressed video. IEEE Signal Process. Mag. C. Andrew Segall, Rafael Molina, Aggelos K. Katsaggelos
2003	C	`conf`	Multi-channel Reconstruction of Video Sequences from Low-Resolution and Compressed Observations. CIARP Luis D. Alvarez, Rafael Molina, Aggelos K. Katsaggelos
2003	J	`jnl`	Parameter estimation in Bayesian high-resolution image reconstruction with multisensors. IEEE Trans. Image Process. Rafael Molina, Miguel Vega, Javier Abad, Aggelos K. Katsaggelos
2003	—	`conf`	Parameter estimation in super-resolution image reconstruction problems. ICASSP (3) Javier Abad, Miguel Vega, Rafael Molina, Aggelos K. Katsaggelos
2002	—	`conf`	A General Multichannel Image Restoration Method Using Compound Models. ICPR (3) Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos, Miguel Vega
2002	Misc	`conf`	Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations. ICASSP C. Andrew Segall, Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos
2002	J	`jnl`	SPECT Image Reconstruction Using Compound Prior Models. Int. J. Pattern Recognit. Artif. Intell. Antonio López, Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos
2002	—	`conf`	Scale hyperparameter estimation for GGMRF prior models with application to SPECT images. DSP Antonio López, Rafael Molina, Aggelos K. Katsaggelos
2001	—	`conf`	Bayesian high-resolution reconstruction of low-resolution compressed video. ICIP (2) Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, C. Andrew Segall
2001	J	`jnl`	Image restoration in astronomy: a Bayesian perspective. IEEE Signal Process. Mag. Rafael Molina, Jorge Núñez, Francisco J. Cortijo, Javier Mateos
2001	Misc	`conf`	SPECT image reconstruction using compound models. ICASSP Antonio López, Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos
2000	J	`jnl`	A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts. IEEE Trans. Image Process. Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
2000	—	`conf`	Color image restoration using compound Gauss-Markov Random Fields. EUSIPCO Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
2000	J	`jnl`	Hierarchical Bayesian image restoration from partially known blurs. IEEE Trans. Image Process. Nikolas P. Galatsanos, Vladimir Z. Mesarovic, Rafael Molina, Aggelos K. Katsaggelos
2000	—	`conf`	High-resolution color image reconstruction from compressed video sequences. EUSIPCO Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
2000	Misc	`conf`	Multichannel image restoration using compound Gauss-Markov random fields. ICASSP Rafael Molina, Javier Mateos, Aggelos K. Katsaggelos
2000	Misc	`conf`	Resolution enhancement of compressed low resolution video. ICASSP Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
2000	J	`jnl`	Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss?CMarkov random fields. Pattern Recognit. Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, Aurora Hermoso, C. Andrew Segall
2000	B	`conf`	Simultaneous Motion Estimation and Resolution Enhancement of Compressed low Resolution Video. ICIP Javier Mateos, Aggelos K. Katsaggelos, Rafael Molina
1999	J	`jnl`	Bayesian and regularization methods for hyperparameter estimation in image restoration. IEEE Trans. Image Process. Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos
1999	Misc	`conf`	Bayesian image restoration using a wavelet-based subband decomposition. ICASSP Rafael Molina, Aggelos K. Katsaggelos, Javier Abad
1999	—	`conf`	Hyperparameter Estimation for Emission Computed Tomography Data. ICIP (2) Antonio López, Rafael Molina, Aggelos K. Katsaggelos
1998	Misc	`conf`	Hierarchical Bayesian image restoration from partially-known blurs. ICASSP Vladimir Z. Mesarovic, Nikolas P. Galatsanos, Rafael Molina, Aggelos K. Katsaggelos
1998	—	`conf`	Reduction of Blocking Artifacts in Block Transformed Compressed Color Images. ICIP (1) Javier Mateos, Carlos Ilia Herráiz Montalvo, Blas C. Ruiz Jiménez, Rafael Molina, Aggelos K. Katsaggelos
1997	Misc	`conf`	A Bayesian approach to blind deconvolution based on Dirichlet distributions. ICASSP Rafael Molina, Aggelos K. Katsaggelos, Javier Abad, Javier Mateos
1997	—	`conf`	Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields. EMMCVPR Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, Aurora Hermoso
1996	—	`conf`	Restoration of severely blurred high range images using compound models. ICIP (2) Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, Javier Abad
1995	J	`jnl`	A dynamic approach for clustering data. Signal Process. Jose A. García, J. Fdez-Valdivia, Francisco J. Cortijo, Rafael Molina
1995	J	`jnl`	A method for invariant pattern recognition using the scale-vector representation of planar curves. Signal Process. Jose A. García, J. Fdez-Valdivia, Rafael Molina
1995	J	`jnl`	Bayesian image restoration in astronomy: Application to images of the recent collision of comet shoemaker-levy 9 with jupiter. Int. J. Imaging Syst. Technol. Rafael Molina, Javier Mateos, Javier Abad, Nicolas Pérez de la Blanca, A. Molina, Fernando Moreno
1994	J	`jnl`	Automatic characterization of spiral and elliptical galaxies from digital images. Pattern Recognit. Lett. Jose A. García, Rafael Molina, Nicolas Pérez de la Blanca
1994	J	`jnl`	On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images. IEEE Trans. Pattern Anal. Mach. Intell. Rafael Molina
1992	—	`conf`	On the Bayesian deconvolution of planets. ICPR (3) Rafael Molina, Brian D. Ripley, Francisco J. Cortijo
1992	C	`conf`	Statistical Methods in Learning. IPMU A. Sutherland, Bob Henery, Rafael Molina, Charles C. Taylor, Ross D. King
1991	C	`conf`	Learning with CASTLE. ECSQARU Silvia Acid, Luis M. de Campos, Antonio González, Rafael Molina, Nicolas Pérez de la Blanca