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Facundo Nahuel Diaz
Facundo Nahuel Diaz
Hospital Italiano de Buenos Aires
Deep learning
Artificial intelligence
Medicine
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4
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1
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0
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Integration of a deep learning system for automated chest x-ray interpretation in the emergency department: A proof-of-concept
2021
Candelaria Mosquera
Fernando Binder
Facundo Nahuel Diaz
Alberto Seehaus
Gabriel Ducrey
Jorge Ocantos
M. Aineseder
Luciana Rubin
Diego Ariel Rabinovich
Angel Ezequiel Quiroga
Bernardo Martinez
Alejandro Daniel Beresñak
Sonia E. Benítez
Daniel R. Luna
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P60.05 Radiomic Signature to Predict Outcomes in EGFR-Mutant Non-Small Cell Lung Cancer
2021
Journal of Thoracic Oncology
J.N. Minatta
D. Deza
M. Aineseder
M. Mestas Nuñez
Candelaria Mosquera
L. Lupinacci
Sonia E. Benítez
Alberto Seehaus
Daniel R. Luna
Alejandro Daniel Beresñak
Facundo Nahuel Diaz
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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.
2021
Computer Methods and Programs in Biomedicine
Candelaria Mosquera
Facundo Nahuel Diaz
Fernando Binder
José Martin Rabellino
Sonia E. Benítez
Alejandro Daniel Beresñak
Alberto Seehaus
Gabriel Ducrey
Jorge Ocantos
Daniel R. Luna
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Hallazgos por imágenes en COVID-19: actualización y guía práctica
2020
Facundo Nahuel Diaz
Horacio Matías Castro
Marcos Mestas Núñez
Joaquin Maritano Furcada
Gonzalo Dulcich
Alejandro Daniel Beresñak
Jorge Ocantos
Alberto Seehaus
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