activity
20172021
most citedGoing Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection

170 citations · 261 across the 4 of their papers we have counts for

collaborators

8 papers

eess.IV2021170 cited

Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection

Julio Silva-Rodríguez, Adrián Colomer, María A. Sales +2

The Gleason scoring system is the primary diagnostic and prognostic tool for prostate cancer. In recent years, with the development of digitisation devices, the use of computer vis…

eess.SP202139 cited

Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion

Daniel Heestermans Svendsen, Pablo Morales-Alvarez, Ana Belen Ruescas +2

Parameter retrieval and model inversion are key problems in remote sensing and Earth observation. Currently, different approximations exist: a direct, yet costly, inversion of radi…

physics.geo-ph20207 cited

Deep Gaussian Processes for geophysical parameter retrieval

Daniel Heestermans Svendsen, Pablo Morales-Álvarez, Rafael Molina +1

This paper introduces deep Gaussian processes (DGPs) for geophysical parameter retrieval. Unlike the standard full GP model, the DGP accounts for complicated (modular, hierarchical…

eess.IV2019

Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks

Alice Lucas, Santiago Lopez-Tapia, Rafael Molina +1

While Convolutional Neural Networks (CNNs) trained for image and video super-resolution (SR) regularly achieve new state-of-the-art performance, they also suffer from significant d…

cs.LG2019

Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO

Pablo Morales-Álvarez, Pablo Ruiz, Scott Coughlin +2

In the last years, crowdsourcing is transforming the way classification training sets are obtained. Instead of relying on a single expert annotator, crowdsourcing shares the labell…

cs.CV2019

A Single Video Super-Resolution GAN for Multiple Downsampling Operators based on Pseudo-Inverse Image Formation Models

Santiago López-Tapia, Alice Lucas, Rafael Molina +1

The popularity of high and ultra-high definition displays has led to the need for methods to improve the quality of videos already obtained at much lower resolutions. Current Video…