Publications in 2024
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
Scientific Data, Number 1, page 511 - 2024
Class imbalance on medical image classification: towards better evaluation practices for discrimination and calibration performance
European Radiology - jun 2024
Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations
Transactions on Machine Learning Research - 2024
Publications in 2023
Análisis de sesgos en algoritmos de clasificación de oximetría de pulso para detección de trastornos del sueño
Argentine Symposium on Artificial Intelligence (ASAI 2023) - 52 Argentine Conference on Informatics and Operations Research (JAIIO) - 2023
Publications in 2022
Nature Communications, Volume 13 - 2022
Network Neuroscience, page 1--17 - jan 2022
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
IEEE Transactions on Medical Imaging - 2022
arXiv preprint arXiv:2211.07395 - 2022
Publications in 2021
ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture
GigaScience, Volume 10, Number 7 - 2021
Desarrollo de aplicación móvil para reconocimiento y valoración de cervezas artesanales (Undergraduate project)
Master thesis from Facultad de Ingeniería y Ciencias Hídricas - Universidad Nacional del Litoral - 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), page 6630--6638 - 2021
XXVII Congreso Argentino De Ciencias De La Computación (CACIC) - 2021
Medical Image Computing and Computer Assisted Intervention -- MICCAI 2021, page 600--610 - 2021
On the relationship between research parasites and fairness in machine learning: challenges and opportunities
GigaScience, Volume 10, Number 12 - 2021
Publications in 2020
Towards the Automatization of Cranial Implant Design in Cranioplasty, page 37--46 - 2020
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
Proceedings of the National Academy of Sciences - 2020
Neural Networks, Volume 124, page 269--279 - 2020
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study
The Lancet Digital Health, Volume 2, Number 6, page 314--322 - 2020
IEEE Transactions on Medical Imaging - 2020
Medical Image Computing and Computer Assisted Intervention -- MICCAI 2020, page 390--399 - 2020