71 citations
- Consejo Nacional de Investigaciones Científicas y TécnicasAR4 papers
- National Technological UniversityAR2 papers
- Instituto Tecnológico de Buenos Aires (ITBA)AR1 paper
- Kaunas University of TechnologyLT1 paper
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6 papers
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla +4
The development of successful artificial intelligence models for chest X-ray analysis relies on large, diverse datasets with high-quality annotations. While several databases of ch…
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera +2
Anatomical segmentation is a fundamental task in medical image computing, generally tackled with fully convolutional neural networks which produce dense segmentation masks. These m…
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 +7
BACKGROUND AND OBJECTIVES: The multiple chest x-ray datasets released in the last years have ground-truth labels intended for different computer vision tasks, suggesting that perfo…
Inhibitory autapse mediates anticipated synchronization between coupled neurons
Marcel A. Pinto, Osvaldo A. Rosso, Fernanda S. Matias
Two identical autonomous dynamical systems unidirectionally coupled in a sender-receiver configuration can exhibit anticipated synchronization (AS) if the Receiver neuron (R) also…
Confidence Intervals and Hypothesis Testing for the Permutation Entropy with an application to Epilepsy
Francisco Traversaro, Francisco Redelico
In nonlinear dynamics, and to a lesser extent in other fields, a widely used measure of complexity is the Permutation Entropy. But there is still no known method to determine the a…
Detecting Gamification in Breast Cancer Apps: an automatic methodology for screening purposes
Guido Giunti, Diego H Giunta, Santiago Hors-Fraile +2
Breast cancer is the most common cancer in women both in developed and developing countries. More than half of all cancer mobile application concern breast cancer. Gamification is…