output
20192026
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

5 papers

astro-ph.EP2026★ 1 cited

Consistency between dynamical modeling and photometrically derived masses of fireballs

Eloy Peña-Asensio, Maria Gritsevich

We present a three-point inverse solution for reconstructing meteoroid deceleration and mass-loss histories from sparse observations constrained only by the entry, peak-brightness,…

astro-ph.EP2025★ 1 cited

The interstellar flux gap: From dust to kilometer-scale objects

Eloy Peña-Asensio, Darryl Z. Seligman

Context. Three kilometer-sized interstellar objects (ISOs) have been detected transiting the Solar System, and spacecraft have directly measured micrometer-scale interstellar dust…

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…

cs.LG2021

Machine Learning for Real-World Evidence Analysis of COVID-19 Pharmacotherapy

Aurelia Bustos, Patricio Mas_Serrano, Mari L. Boquera +1

Introduction: Real-world data generated from clinical practice can be used to analyze the real-world evidence (RWE) of COVID-19 pharmacotherapy and validate the results of randomiz…

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…