Rafael Molina
Orcid: 0000-0003-4694-8588Affiliations:
- University of Granada, Department of Computer Science and Artificial Intelligence, Spain
According to our database1,
Rafael Molina
authored at least 223 papers
between 1991 and 2024.
Collaborative distances:
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Bibliography
2024
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images.
Pattern Recognit., February, 2024
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection.
CoRR, 2024
A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models.
CoRR, 2024
2023
Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset.
Artif. Intell. Medicine, November, 2023
Digit. Signal Process., October, 2023
Knowl. Based Syst., 2023
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning.
CoRR, 2023
Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification.
IEEE Access, 2023
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
A Robust BKSVD Method for Blind Color Deconvolution and Blood Detection on H &E Histological Images.
Proceedings of the Artificial Intelligence in Medicine, 2023
Crowdsourcing Segmentation of Histopathological Images Using Annotations Provided by Medical Students.
Proceedings of the Artificial Intelligence in Medicine, 2023
2022
Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection.
IEEE/ACM Trans. Netw., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection.
Comput. Methods Programs Biomed., 2022
Bayesian K-SVD for H and E blind color deconvolution. Applications to stain normalization, data augmentation and cancer classification.
Comput. Medical Imaging Graph., 2022
Comput. Biol. Medicine, 2022
Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning.
IEEE Access, 2022
The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review.
IEEE Access, 2022
2021
A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes.
IEEE Trans. Geosci. Remote. Sens., 2021
Digit. Signal Process., 2021
CoRR, 2021
Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference.
Comput. Methods Programs Biomed., 2021
Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Parameter-Free Gaussian PSF Model for Extended Depth of Field in Brightfield Microscopy.
IEEE Trans. Image Process., 2020
IEEE Trans. Image Process., 2020
Sensors, 2020
A TV-based image processing framework for blind color deconvolution and classification of histological images.
Digit. Signal Process., 2020
A single video super-resolution GAN for multiple downsampling operators based on pseudo-inverse image formation models.
Digit. Signal Process., 2020
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., 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Fully Automatic Blind Color Deconvolution of Histological Images Using Super Gaussians.
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
2019
IEEE Trans. Image Process., 2019
IEEE Trans. Circuits Syst. Video Technol., 2019
Inf. Fusion, 2019
Digit. Signal Process., 2019
Self-Supervised Fine-tuning for Image Enhancement of Super-Resolution Deep Neural Networks.
CoRR, 2019
A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes.
Comput. Methods Programs Biomed., 2019
Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Efficient Fine-Tuning of Neural Networks for Artifact Removal in Deep Learning for Inverse Imaging Problems.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Gan-Based Video Super-Resolution With Direct Regularized Inversion of the Low-Resolution Formation Model.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
A Composite Discriminator for Generative Adversarial Network based Video Super-Resolution.
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Multiple-Degradation Video Super-Resolution with Direct Inversion of the Low-Resolution Formation Model.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
IEEE Trans. Geosci. Remote. Sens., 2018
Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods.
IEEE Signal Process. Mag., 2018
Pattern Recognit. Lett., 2018
Using machine learning to detect and localize concealed objects in passive millimeter-wave images.
Eng. Appl. Artif. Intell., 2018
Comput. Ind., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Blind Color Deconvolution of Histopathological Images Using a Variational Bayesian Approach.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
2017
IEEE Trans. Image Process., 2017
Digit. Signal Process., 2017
Efficient remote sensing image classification with Gaussian processes and Fourier features.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Parameter estimation in spike and slab variational inference for blind image deconvolution.
Proceedings of the 25th European Signal Processing Conference, 2017
2016
Joint Data Filtering and Labeling Using Gaussian Processes and Alternating Direction Method of Multipliers.
IEEE Trans. Image Process., 2016
Compressive sensing super resolution from multiple observations with application to passive millimeter wave images.
Digit. Signal Process., 2016
Variational Gaussian process for missing label crowdsourcing classification problems.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Bayesian logistic regression with sparse general representation prior for multispectral image classification.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Multiframe blind deconvolution of passive millimeter wave images using variational dirichlet blur kernel estimation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 24th European Signal Processing Conference, 2016
Proceedings of the 24th European Signal Processing Conference, 2016
Classification of multiple annotator data using variational Gaussian process inference.
Proceedings of the 24th European Signal Processing Conference, 2016
2015
Robust Recovery of Temporally Smooth Signals From Under-Determined Multiple Measurements.
IEEE Trans. Signal Process., 2015
Digit. Signal Process., 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
IEEE Trans. Intell. Transp. Syst., 2014
IEEE Trans. Geosci. Remote. Sens., 2014
IEEE Signal Process. Lett., 2014
Combining Poisson singular integral and total variation prior models in image restoration.
Signal Process., 2014
Frontiers Neuroinformatics, 2014
Digit. Signal Process., 2014
Proceedings of the Smart Digital Futures 2014, 2014
Fast iteratively reweighted least squares for lp regularized image deconvolution and reconstruction.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Parameter estimation in Bayesian Blind Deconvolution with super Gaussian image priors.
Proceedings of the 22nd European Signal Processing Conference, 2014
Bayesian classification and active learning using lp-priors. Application to image segmentation.
Proceedings of the 22nd European Signal Processing Conference, 2014
Proceedings of the 22nd European Signal Processing Conference, 2014
Proceedings of the Proceedings 1st Congreso de la Sociedad Española para las Ciencias del Videojuego, 2014
2013
Proceedings of the Multimodal Interaction in Image and Video Applications, 2013
IEEE Trans. Signal Process., 2013
J. Commun., 2013
Inf. Fusion, 2013
Digit. Signal Process., 2013
Proceedings of the 18th International Conference on Digital Signal Processing, 2013
Light field acquisition from blurred observations using a programmable coded aperture camera.
Proceedings of the 21st European Signal Processing Conference, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
Image deblurring combining poisson singular integral and total variation prior models.
Proceedings of the 21st European Signal Processing Conference, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
2012
IEEE Trans. Signal Process., 2012
EURASIP J. Image Video Process., 2012
Compressive sampling with unknown blurring function: Application to passive millimeter-wave imaging.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
Proceedings of the 20th European Signal Processing Conference, 2012
Proceedings of the 20th European Signal Processing Conference, 2012
Hyperparameters estimation for the Bayesian localization of the EEG sources with TV priors.
Proceedings of the 20th European Signal Processing Conference, 2012
Proceedings of the Computer Vision - ECCV 2012, 2012
2011
Super Resolution of Multispectral Images using ℓ1 Image Models and Interband Correlations.
J. Signal Process. Syst., 2011
NeuroImage, 2011
A survey of classical methods and new trends in pansharpening of multispectral images.
EURASIP J. Adv. Signal Process., 2011
Proceedings of the Computational Intelligence for Multimedia Understanding, 2011
Image prior combination in space-variant blur deconvolution for the dual exposure problem.
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the IEEE International Conference on Acoustics, 2011
Proceedings of the 19th European Signal Processing Conference, 2011
Proceedings of the 19th European Signal Processing Conference, 2011
2010
Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors.
IEEE Trans. Image Process., 2010
IEEE Trans. Image Process., 2010
Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction.
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the International Conference on Image Processing, 2010
Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation.
Proceedings of the IEEE International Conference on Acoustics, 2010
Fast total variation image restoration with parameter estimation using bayesian inference.
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the 18th European Signal Processing Conference, 2010
Combining observation models in dual exposure problems using the Kullback-Leibler divergence.
Proceedings of the 18th European Signal Processing Conference, 2010
Proceedings of the 18th European Signal Processing Conference, 2010
Variational Bayesian inference image restoration using a product of total variation-like image priors.
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010
2009
IEEE Trans. Image Process., 2009
Local Bayesian image restoration using variational methods and Gamma-Normal distributions.
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the 16th International Conference on Digital Signal Processing, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the 17th European Signal Processing Conference, 2009
Parameter Estimation in Bayesian Super-Resolution Image Reconstruction from Low Resolution Rotated and Translated Images.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2009
2008
Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation.
IEEE Trans. Image Process., 2008
Using Logarithmic Opinion Pooling Techniques in Bayesian Blind Multi-Channel Restoration.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
Proceedings of the International Conference on Image Processing, 2008
Proceedings of the International Conference on Image Processing, 2008
Generalized Gaussian Markov random field image restoration using variational distribution approximation.
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the 2008 16th European Signal Processing Conference, 2008
2007
Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers, ISBN: 978-3-031-02243-2, 2007
Multidimens. Syst. Signal Process., 2007
Variational posterior distribution approximation in bayesian emission tomography reconstruction using a gamma mixture prior.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007
From Global to Local Bayesian Parameter Estimation in Image Restoration using Variational Distribution Approximations.
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the International Conference on Image Processing, 2007
Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation.
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the 15th European Signal Processing Conference, 2007
Total variation blind deconvolution using a variational approach to parameter, image, and blur estimation.
Proceedings of the 15th European Signal Processing Conference, 2007
Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007
Proceedings of the Advances in Brain, 2007
2006
Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation.
IEEE Trans. Image Process., 2006
EURASIP J. Adv. Signal Process., 2006
Distance histogram to centroid as a unique feature to recognize objects.
Proceedings of the VISAPP 2006: Proceedings of the First International Conference on Computer Vision Theory and Applications, 2006
Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques.
Proceedings of the International Conference on Image Processing, 2006
Transmission Tomography Reconstruction Using Compound Gauss-Markov Random Fields and Ordered Subsets.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006
Proceedings of the 14th European Signal Processing Conference, 2006
2005
Approximations of posterior distributions in blind deconvolution using variational methods.
Proceedings of the 2005 International Conference on Image Processing, 2005
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005
Bayesian Reconstruction for Transmission Tomography with Scale Hyperparameter Estimation.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005
3D Robot Mapping: Combining Active and Non Active Sensors in a Probabilistic Framework.
Proceedings of the Current Topics in Artificial Intelligence, 2005
2004
IEEE Trans. Image Process., 2004
Parameter estimation in Bayesian reconstruction of SPECT images: An aid in nuclear medicine diagnosis.
Int. J. Imaging Syst. Technol., 2004
High-resolution images from compressed low-resolution video: Motion estimation and observable pixels.
Int. J. Imaging Syst. Technol., 2004
Motion estimation in high resolution image reconstruction from compressed video sequences.
Proceedings of the 2004 International Conference on Image Processing, 2004
Estimation of High Resolution Images and Registration Parameters from Low Resolution Observations.
Proceedings of the Progress in Pattern Recognition, 2004
2003
Parameter estimation in Bayesian high-resolution image reconstruction with multisensors.
IEEE Trans. Image Process., 2003
IEEE Trans. Image Process., 2003
IEEE Signal Process. Mag., 2003
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003
Bayesian parameter estimation in image reconstruction from subsampled blurred observations.
Proceedings of the 2003 International Conference on Image Processing, 2003
Bayesian high resolution image reconstruction with incomplete multisensor low resolution systems.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Bayesian Image Estimation from an Incomplete Set of Blurred, Undersampled Low Resolution Images.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003
Bayesian SPECT Image Reconstruction with Scale Hyperparameter Estimation for Scalable Prior.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003
Multi-channel Reconstruction of Video Sequences from Low-Resolution and Compressed Observations.
Proceedings of the Progress in Pattern Recognition, 2003
2002
Int. J. Pattern Recognit. Artif. Intell., 2002
Proceedings of the 16th International Conference on Pattern Recognition, 2002
Scale hyperparameter estimation for GGMRF prior models with application to SPECT images.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002
Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations.
Proceedings of the IEEE International Conference on Acoustics, 2002
2001
IEEE Signal Process. Mag., 2001
Proceedings of the 2001 International Conference on Image Processing, 2001
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
A Bayesian approach for the estimation and transmission of regularization parameters for reducing blocking artifacts.
IEEE Trans. Image Process., 2000
IEEE Trans. Image Process., 2000
Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss?CMarkov random fields.
Pattern Recognit., 2000
Simultaneous Motion Estimation and Resolution Enhancement of Compressed low Resolution Video.
Proceedings of the 2000 International Conference on Image Processing, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
1999
Bayesian and regularization methods for hyperparameter estimation in image restoration.
IEEE Trans. Image Process., 1999
Proceedings of the 1999 International Conference on Image Processing, 1999
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
1998
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998
1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997
1996
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996
1995
A method for invariant pattern recognition using the scale-vector representation of planar curves.
Signal Process., 1995
Bayesian image restoration in astronomy: Application to images of the recent collision of comet shoemaker-levy 9 with jupiter.
Int. J. Imaging Syst. Technol., 1995
1994
Pattern Recognit. Lett., 1994
On the Hierarchical Bayesian Approach to Image Restoration: Applications to Astronomical Images.
IEEE Trans. Pattern Anal. Mach. Intell., 1994
1992
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992
1991
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1991