Search Results - "Diaz, Facundo Nahuel"

Abstract Number ‐ 18: Potential impact in low and middle‐income countries stroke networks of a deep learning triage tool by Lagos‐Servellon, Javier, Bonifacio‐Delgadillo, Dulce, Ribo, Marc, Santamaria, Cristina Granés, Punsoda, Victor Salvia, Urtasun, Agustina, Díaz, Facundo Nahuel, Pou, Cristian Martí

“…IntroductionEarly and accurate identification of large vessel occlusion (LVO) and intracranial hemorrhage (ICH) on initial neuroimaging is essential in a…”
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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 by Mosquera, Candelaria, Diaz, Facundo Nahuel, Binder, Fernando, Rabellino, José Martín, Benitez, Sonia Elizabeth, Beresñak, Alejandro Daniel, Seehaus, Alberto, Ducrey, Gabriel, Ocantos, Jorge Alberto, Luna, Daniel Roberto

“…•Detection of four main radiological findings in chest x-rays with a semiologic approach.•Images with different types of labels were exploited by using a late…”
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Integration of a deep learning system for automated chest x-ray interpretation in the emergency department: A proof-of-concept by Mosquera, Candelaria, Binder, Fernando, Diaz, Facundo Nahuel, Seehaus, Alberto, Ducrey, Gabriel, Ocantos, Jorge Alberto, Aineseder, Martina, Rubin, Luciana, Rabinovich, Diego Ariel, Quiroga, Angel Ezequiel, Martinez, Bernardo, Beresñak, Alejandro Daniel, Benitez, Sonia Elizabeth, Luna, Daniel Roberto

“…The translation of deep learning (DL) techniques from research to effective clinical implementations has to overcome an important gap between the…”
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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 by Mosquera, Candelaria, Diaz, Facundo Nahuel, Binder, Fernando, Rabellino, Jose Martin, Benitez, Sonia Elizabeth, Beresñak, Alejandro Daniel, Seehaus, Alberto, Ducrey, Gabriel, Ocantos, Jorge Alberto, Luna, Daniel Roberto

“…BACKGROUND AND OBJECTIVES: The multiple chest x-ray datasets released in the last years have ground-truth labels intended for different computer vision tasks,…”
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