output
20192025
most citedPadChest: A large chest x-ray image dataset with multi-label annotated reports

702 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing eess.IVShow all

4 papers · 1 filter

eess.IV2025

Ultra-high resolution multimodal MRI densely labelled holistic structural brain atlas

José V. Manjón, Sergio Morell-Ortega, Marina Ruiz-Perez +16

In this paper, we introduce a novel structural holistic Atlas (holiAtlas) of the human brain anatomy based on multimodal and high-resolution MRI that covers several anatomical leve…

eess.IV2022★ 2 cited

Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review

Harold Brayan Arteaga-Arteaga, Melissa delaPava, Alejandro Mora-Rubio +12

There is a necessity to develop affordable, and reliable diagnostic tools, which allow containing the COVID-19 spreading. Machine Learning (ML) algorithms have been proposed to des…

eess.IV2021

Automatic Semantic Segmentation of the Lumbar Spine: Clinical Applicability in a Multi-parametric and Multi-centre Study on Magnetic Resonance Images

Jhon Jairo Saenz-Gamboa, Julio Domenech, Antonio Alonso-Manjarrés +2

One of the major difficulties in medical image segmentation is the high variability of these images, which is caused by their origin (multi-centre), the acquisition protocols (mult…

eess.IV2019★ 702 cited

PadChest: A large chest x-ray image dataset with multi-label annotated reports

Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas +1

We present a labeled large-scale, high resolution chest x-ray dataset for the automated exploration of medical images along with their associated reports. This dataset includes mor…