R
Rafael Molina
Researcher at University of Granada
Publications - 398
Citations - 11970
Rafael Molina is an academic researcher from University of Granada. The author has contributed to research in topics: Image restoration & Iterative reconstruction. The author has an hindex of 52, co-authored 381 publications receiving 10765 citations. Previous affiliations of Rafael Molina include Intel & Northwestern University.
Papers
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Passive Millimeter Wave Image Classification with Large Scale Gaussian Processes
TL;DR: This work presents a novel approach to PMMWI classification based on the use of Gaussian Processes for large data sets that relies on linear approximations to kernel functions through random Fourier features and model hyperparameters are learned within a variational Bayes inference scheme.
Bayesian super-resolution of images from low resolution observations with unknown registration parameters.
TL;DR: An iterative method is derived to estimate the unknown shifts and the high resolution image given the low resolution observations, and the proposed method is tested on real images.
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Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks
TL;DR: In this paper, a self-supervised fine-tuning approach is proposed to correct a sub-optimal super-resolution solution by entirely relying on internal learning at test time.
Journal ArticleDOI
PP-4-23 CA 15-3, CEA and TPS for Monitoring metastatic breast cancer patients — a multicenter study
A. van Dalen,Vivian Barak,A. Cremaschi,Massimo Gion,Rafael Molina,M. Namer,Petra Stieber,Catharine M. Sturgeon,R. Einarsson +8 more
Using logarithmic opinion pooling techniques in bayesian blind multi-channel restoration
TL;DR: This paper examines the use of logarithmic opinion pooling techniques to combine two observations models that are normally used in multi-channel image restoration techniques to define the joint distribution of image, blurs and observations.