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Computer Science
Spain
2025

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Rafael Molina is affiliated with the University of Granada in Spain and has contributed extensively to the field of computer science, with a particular focus on artificial intelligence, computer vision, and medical imaging applications. Their research spans various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging, and Neurology.

The scientist's work centers on specialized topics such as AI in cancer detection, digital imaging for blood diseases, and advanced image processing techniques. Molina has also explored machine learning in healthcare and radiomics as applied to medical imaging, with additional research into intracerebral and subarachnoid hemorrhage.

Frequent co-authors collaborating with Molina include Aggelos K. Katsaggelos, Pablo Morales-Álvarez, Fernando Pérez-Bueno, Arne Schmidt, and Miguel López-Pérez.

Rafael Molina's recent publications cover diverse applications of AI and image processing. Notable papers include:

  • Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection, 2020, Computer Methods and Programs in Biomedicine
  • The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review, 2022, IEEE Access
  • Deep Gaussian processes for biogeophysical parameter retrieval and model inversion, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Learning from crowds in digital pathology using scalable variational Gaussian processes, 2021, Scientific Reports
  • Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference, 2021, Computer Methods and Programs in Biomedicine

Molina's research has been published in a variety of venues, frequently appearing in arXiv (Cornell University), IEEE Access, Digital Signal Processing, Computer Methods and Programs in Biomedicine, and SSRN Electronic Journal.

Best Publications

  • Bayesian Compressive Sensing Using Laplace Priors

    S.D. Babacan;R. Molina;A.K. Katsaggelos

  • Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods

    Alice Lucas;Michael Iliadis;Rafael Molina;Aggelos K. Katsaggelos

  • A survey of classical methods and new trends in pansharpening of multispectral images

    Israa Amro;Israa Amro;Javier Mateos;Miguel Vega;Rafael Molina

  • Variational Bayesian Super Resolution

    S Derin Babacan;Rafael Molina;Aggelos K Katsaggelos

  • Sparse Bayesian Methods for Low-Rank Matrix Estimation

    S. Derin Babacan;Martin Luessi;Rafael Molina;Aggelos K. Katsaggelos

  • Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation

    R. Molina;J. Mateos;A.K. Katsaggelos

  • Variational Bayesian Blind Deconvolution Using a Total Variation Prior

    S.D. Babacan;R. Molina;A.K. Katsaggelos

  • Bayesian and regularization methods for hyperparameter estimation in image restoration

    R. Molina;A.K. Katsaggelos;J. Mateos

  • Super Resolution of Images and Video

    Aggelos Konstantinos Katsaggelos;Rafael Molina;Javier Mateos

  • Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation

    S.D. Babacan;R. Molina;A.K. Katsaggelos

  • Bayesian blind deconvolution with general sparse image priors

    S. Derin Babacan;Rafael Molina;Minh N. Do;Aggelos K. Katsaggelos

  • Image restoration in astronomy: a Bayesian perspective

    R. Molina;J. Nunez;F.J. Cortijo;J. Mateos

  • Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

    Alice Lucas;Santiago Lopez-Tapia;Rafael Molina;Aggelos K. Katsaggelos

  • Bayesian resolution enhancement of compressed video

    C.A. Segall;A.K. Katsaggelos;R. Molina;J. Mateos

  • High-resolution images from low-resolution compressed video

    C.A. Segall;R. Molina;A.K. Katsaggelos

  • IEEE International Conference on Image Processing

    T. E. Bishop;R. Molina;James Hopgood

  • Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors

    G. Chantas;N.P. Galatsanos;R. Molina;A.K. Katsaggelos

  • Bayesian combination of sparse and non-sparse priors in image super resolution

    S. Villena;M. Vega;S. D. Babacan;R. Molina

  • Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution

    Alice Lucas;Aggelos K. Katsaggelos;Santiago Lopez-Tapuia;Rafael Molina

  • Total variation blind deconvolution using a variational approach to parameter, image, and blur estimation

    S. Derin Babacan;Rafael Molina;Aggelos K. Katsaggelos

Frequent Co-Authors

Aggelos K. Katsaggelos
Aggelos K. Katsaggelos Northwestern University
Nikolas P. Galatsanos
Nikolas P. Galatsanos University of Ioannina
Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Antonio M. López
Antonio M. López Autonomous University of Barcelona
David M. Goldenberg
David M. Goldenberg Immunomedics (United States)
Jean-Pierre Mach
Jean-Pierre Mach University of Lausanne
Max M. Burger
Max M. Burger Friedrich Miescher Institute
Paul M. Sondel
Paul M. Sondel University of Wisconsin–Madison
James R. Booth
James R. Booth Vanderbilt University
Fionn Murtagh
Fionn Murtagh University of Huddersfield

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