activity
20162021
most citedBIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients

107 citations · 156 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2021★ 10 cited

NVS-MonoDepth: Improving Monocular Depth Prediction with Novel View Synthesis

Zuria Bauer, Zuoyue Li, Sergio Orts-Escolano +3

Building upon the recent progress in novel view synthesis, we propose its application to improve monocular depth estimation. In particular, we propose a novel training method split…

cs.CV2021

A Large Visual, Qualitative and Quantitative Dataset of Web Pages

Christian Mejia-Escobar, Miguel Cazorla, Ester Martinez-Martin

The World Wide Web is not only one of the most important platforms of communication and information at present, but also an area of growing interest for scientific research. This m…

eess.IV2020★ 4 cited

UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays

Germán González, Aurelia Bustos, José María Salinas +7

In this work we present a method for the detection of radiological findings, their location and differential diagnoses from chest x-rays. Unlike prior works that focus on the detec…

eess.IV2020★ 107 cited

BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients

Maria de la Iglesia Vayá, Jose Manuel Saborit, Joaquim Angel Montell +10

This paper describes BIMCV COVID-19+, a large dataset from the Valencian Region Medical ImageBank (BIMCV) containing chest X-ray images CXR (CR, DX) and computed tomography (CT) im…

eess.IV2020★ 12 cited

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE)

Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López +17

Rationale: Computer aided detection (CAD) algorithms for Pulmonary Embolism (PE) algorithms have been shown to increase radiologists' sensitivity with a small increase in specifici…

cs.HC2017

Large-scale Multiview 3D Hand Pose Dataset

Francisco Gomez-Donoso, Sergio Orts-Escolano, Miguel Cazorla

Accurate hand pose estimation at joint level has several uses on human-robot interaction, user interfacing and virtual reality applications. Yet, it currently is not a solved probl…