Candelaria Mosquera

According to our database, Candelaria Mosquera authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis.

Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante

IEEE Trans. Medical Imaging, February, 2023

CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images.

Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Martina Aineseder, Diego H. Milone, Enzo Ferrante

CoRR, 2023

Towards Unraveling Calibration Biases in Medical Image Analysis.

María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

User Satisfaction with an AI System for Chest X-Ray Analysis Implemented in a Hospital's Emergency Setting.

Diego Rabinovich, Candelaria Mosquera, Pierina Torrens, Martina Aineseder, Sonia Benitez

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

2021

Understanding the impact of class imbalance on the performance of chest x-ray image classifiers.

Candelaria Mosquera, Luciana Ferrer, Diego H. Milone, Daniel R. Luna, Enzo Ferrante

CoRR, 2021

Chest x-ray automated triage: A semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures.

Candelaria Mosquera, Facundo Nahuel Diaz, Fernando Binder, Jose Martin Rabellino, Sonia Elizabeth Benítez, Alejandro Daniel Beresñak, Alberto Seehaus, Gabriel Ducrey, Jorge Alberto Ocantos, Daniel Roberto Luna

Comput. Methods Programs Biomed., 2021