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Enzo Ferrante

Showing results (11-20 of 33) with videos related to

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IEEE Transactions on Medical Imaging|November 24, 2022
Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray AnalysisNicolas Gaggion, Lucas Mansilla, Candelaria Mosquera, et al.
Gigascience|December 20, 2021
On the relationship between research parasites and fairness in machine learning: challenges and opportunitiesNicolás Nieto, Agostina Larrazabal, Victoria Peterson, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 28, 2020
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosisAgostina J Larrazabal, Nicolás Nieto, Victoria Peterson, et al.
Medical Image Analysis|July 6, 2016
(Hyper)-graphical models in biomedical image analysisNikos Paragios, Enzo Ferrante, Ben Glocker, et al.
Medical Image Analysis|June 12, 2018
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's diseaseSarah Parisot, Sofia Ira Ktena, Enzo Ferrante, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Improving Endoscopy Lesion Classification Using Self-Supervised Deep LearningInes Lopes, Maria Vakalopoulou, Enzo Ferrante, et al.
Neuroimage|December 27, 2017
Metric learning with spectral graph convolutions on brain connectivity networksSofia Ira Ktena, Sarah Parisot, Enzo Ferrante, et al.
IEEE Transactions on Medical Imaging|March 31, 2026
ConfIC-RCA: Statistically Grounded Efficient Estimation of Segmentation QualityMatias Cosarinsky, Ramiro Billot, Lucas Mansilla, et al.
Scientific Data|May 17, 2024
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray imagesNicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, et al.
Frontiers in Artificial Intelligence|December 4, 2025
Predicting cardiovascular disease risk using retinal optical coherence tomography imagingCynthia Maldonado-Garcia, Rodrigo Bonazzola, Enzo Ferrante, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
IEEE Transactions on Medical Imaging|November 24, 2022
Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray AnalysisNicolas Gaggion, Lucas Mansilla, Candelaria Mosquera, et al.
Gigascience|December 20, 2021
On the relationship between research parasites and fairness in machine learning: challenges and opportunitiesNicolás Nieto, Agostina Larrazabal, Victoria Peterson, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 28, 2020
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosisAgostina J Larrazabal, Nicolás Nieto, Victoria Peterson, et al.
Medical Image Analysis|July 6, 2016
(Hyper)-graphical models in biomedical image analysisNikos Paragios, Enzo Ferrante, Ben Glocker, et al.
Medical Image Analysis|June 12, 2018
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's diseaseSarah Parisot, Sofia Ira Ktena, Enzo Ferrante, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Improving Endoscopy Lesion Classification Using Self-Supervised Deep LearningInes Lopes, Maria Vakalopoulou, Enzo Ferrante, et al.
Neuroimage|December 27, 2017
Metric learning with spectral graph convolutions on brain connectivity networksSofia Ira Ktena, Sarah Parisot, Enzo Ferrante, et al.
IEEE Transactions on Medical Imaging|March 31, 2026
ConfIC-RCA: Statistically Grounded Efficient Estimation of Segmentation QualityMatias Cosarinsky, Ramiro Billot, Lucas Mansilla, et al.
Scientific Data|May 17, 2024
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray imagesNicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, et al.
Frontiers in Artificial Intelligence|December 4, 2025
Predicting cardiovascular disease risk using retinal optical coherence tomography imagingCynthia Maldonado-Garcia, Rodrigo Bonazzola, Enzo Ferrante, et al.
Pageof 4