Candelaria Mosquera

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Transmission Electron Microscopy

Chest Radiographs

Medical Image Analysis

Top Venues

IEEE Trans. Medical Imaging

Comput. Methods Programs Biomed.

Publications

María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste
Towards unraveling calibration biases in medical image analysis. CoRR (2023)
Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis. IEEE Trans. Medical Imaging 42 (2) (2023)
Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Martina Aineseder, Diego H. Milone, Enzo Ferrante
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images. CoRR (2023)
María Agustina Ricci Lara, Candelaria Mosquera, Enzo Ferrante, Rodrigo Echeveste
Towards Unraveling Calibration Biases in Medical Image Analysis. CLIP/FAIMI/EPIMI@MICCAI (2023)
Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis. CoRR (2022)
Diego Rabinovich, Candelaria Mosquera, Pierina Torrens, Martina Aineseder, Sonia Benitez
User Satisfaction with an AI System for Chest X-Ray Analysis Implemented in a Hospital's Emergency Setting. MIE (2022)
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
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. Comput. Methods Programs Biomed. 206 (2021)
Candelaria Mosquera, Luciana Ferrer, Diego H. Milone, Daniel R. Luna, Enzo Ferrante
Understanding the impact of class imbalance on the performance of chest x-ray image classifiers. CoRR (2021)
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
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. CoRR (2020)