activity
20172024
most citedPadChest: A large chest x-ray image dataset with multi-label annotated reports

702 citations · 910 across the 10 of their papers we have counts for

collaborators

10 papers

cs.AI2024★ 19 cited

PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation

Daniel C. Castro, Aurelia Bustos, Shruthi Bannur +11

Radiology report generation (RRG) aims to create free-text radiology reports from clinical imaging. Grounded radiology report generation (GRRG) extends RRG by including the localis…

eess.IV2024★ 14 cited

Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study

Alejandro Galán-Cuenca, Antonio Javier Gallego, Marcelo Saval-Calvo +1

Medical image datasets are essential for training models used in computer-aided diagnosis, treatment planning, and medical research. However, some challenges are associated with th…

cs.CV2022★ 8 cited

Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features

Marisa Bernabeu, Antonio Javier Gallego, Antonio Pertusa

Classifying logo images is a challenging task as they contain elements such as text or shapes that can represent anything from known objects to abstract shapes. While the current s…

physics.med-ph2020★ 4 cited

Medical imaging data structure extended to multiple modalities and anatomical regions

J. M. Saborit-Torres, J. J. Saenz-Gamboa, J. À. Montell +13

Brain Imaging Data Structure (BIDS) allows the user to organise brain imaging data into a clear and easy standard directory structure. BIDS is widely supported by the scientific co…

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…