Ariel Hernán Curiale

17 papers A* 1C 1Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Emphysema progression risk in COPD using a localized foundational model of density evolution.
npj Digit. Medicine
Ariel Hernán Curiale, Carrie Pistenmaa, Rubén San José Estépar, Alejandro A. Díaz, George R. Washko, Raúl San José Estépar
2025 J jnl
Novel Lobe-based Transformer model (LobTe) to predict emphysema progression in Alpha-1 Antitrypsin Deficiency.
Comput. Biol. Medicine
Ariel Hernán Curiale, Raúl San José Estépar
2024 — conf
Lobar Lung Density Embeddings with a Transformer Encoder (LobTe) to Predict Emphysema Progression in COPD.
MICCAI (1)
Ariel Hernán Curiale, Raúl San José Estépar
2022 J jnl
Automatic Quantification of Volumes and Biventricular Function in Cardiac Resonance. Validation of a New Artificial Intelligence Approach.
CoRR
Ariel Hernán Curiale, Matías E. Calandrelli, Lucca Dellazoppa, Mariano Trevisan, Jorge Luis Bocián, Juan Pablo Bonifacio, Germán Mato
2022 J jnl
Detection of Fibrosis in Cine Magnetic Resonance Images Using Artificial Intelligence Techniques.
CoRR
Ariel Hernán Curiale, Facundo Cabrera, Pablo Jimenez, Jorgelina Medus, Germán Mato, Matías E. Calandrelli
2021 A* conf
Accurate Point Cloud Registration with Robust Optimal Transport.
NeurIPS
Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer
2021 J jnl
Accurate Point Cloud Registration with Robust Optimal Transport.
CoRR
Zhengyang Shen, Jean Feydy, Peirong Liu, Ariel Hernán Curiale, Rubén San José Estépar, Raúl San José Estépar, Marc Niethammer
2021 J jnl
CardIAc: an open-source application for myocardial strain analysis.
Int. J. Comput. Assist. Radiol. Surg.
Ariel Hernán Curiale, Agustín Bernardo, Rodrigo Cárdenas, Germán Mato
2019 J jnl
Automatic quantification of the LV function and mass: A deep learning approach for cardiovascular MRI.
Comput. Methods Programs Biomed.
Ariel Hernán Curiale, Flavio D. Colavecchia, Germán Mato
2018 J jnl
Automatic quantification of the LV function and mass: a deep learning approach for cardiovascular MRI.
CoRR
Ariel Hernán Curiale, Flavio D. Colavecchia, Germán Mato
2017 J jnl
Automatic Myocardial Segmentation by Using A Deep Learning Network in Cardiac MRI.
CoRR
Ariel Hernán Curiale, Flavio D. Colavecchia, Pablo Kaluza, Roberto A. Isoardi, Germán Mato
2017 C conf
Automatic myocardial segmentation by using a deep learning network in cardiac MRI.
CLEI
Ariel Hernán Curiale, Flavio D. Colavecchia, Pablo Kaluza, Roberto A. Isoardi, Germán Mato
2016 J jnl
Influence of ultrasound speckle tracking strategies for motion and strain estimation.
Medical Image Anal.
Ariel Hernán Curiale, Gonzalo Vegas-Sánchez-Ferrero, Santiago Aja-Fernández
2015 J jnl
A local fuzzy thresholding methodology for multiregion image segmentation.
Knowl. Based Syst.
Santiago Aja-Fernández, Ariel Hernán Curiale, Gonzalo Vegas-Sánchez-Ferrero
2015 J jnl
A maximum likelihood approach to diffeomorphic speckle tracking for 3D strain estimation in echocardiography.
Medical Image Anal.
Ariel Hernán Curiale, Gonzalo Vegas-Sánchez-Ferrero, Johan G. Bosch, Santiago Aja-Fernández
2013 — conf
Speckle Tracking in Interpolated Echocardiography to Estimate Heart Motion.
FIMH
Ariel Hernán Curiale, Gonzalo Vegas-Sánchez-Ferrero, Santiago Aja-Fernández
2013 — conf
Strain rate tensor estimation from echocardiography for quantitative assessment of functional mitral regurgitation.
ISBI
Ariel Hernán Curiale, Gonzalo Vegas-Sánchez-Ferrero, T. Perez-Sanz, Santiago Aja-Fernández