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Enzo Ferrante

Showing results (1-10 of 33) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Non-rigid 2D-3D medical image registration using markov random fieldsEnzo Ferrante, Nikos Paragios
Medical Image Analysis|May 9, 2017
Slice-to-volume medical image registration: A surveyEnzo Ferrante, Nikos Paragios
International Journal of Computer Assisted Radiology and Surgery|April 23, 2015
Slice-to-volume deformable registration: efficient one-shot consensus between plane selection and in-plane deformationEnzo Ferrante, Vivien Fecamp, Nikos Paragios
Neural Networks : the Official Journal of the International Neural Network Society|February 9, 2020
Learning deformable registration of medical images with anatomical constraintsLucas Mansilla, Diego H Milone, Enzo Ferrante
Nature Communications|August 6, 2022
Addressing fairness in artificial intelligence for medical imagingMaría Agustina Ricci Lara, Rodrigo Echeveste, Enzo Ferrante
Network Neuroscience (Cambridge, Mass.)|January 6, 2023
Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inferenceRodrigo Echeveste, Enzo Ferrante, Diego H Milone, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising AutoencodersAgostina J Larrazabal, Cesar Martinez, Ben Glocker, et al.
IEEE Journal of Biomedical and Health Informatics|September 13, 2018
Weakly Supervised Learning of Metric Aggregations for Deformable Image RegistrationEnzo Ferrante, Puneet Kumar Dokania, Rafael Marini Silva, et al.
Computers in Biology and Medicine|July 4, 2025
Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimationFranco Matzkin, Agostina Larrazabal, Diego H Milone, et al.
European Radiology|June 11, 2024
Class imbalance on medical image classification: towards better evaluation practices for discrimination and calibration performanceCandelaria Mosquera, Luciana Ferrer, Diego H Milone, et al.
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|February 8, 2014
Non-rigid 2D-3D medical image registration using markov random fieldsEnzo Ferrante, Nikos Paragios
Medical Image Analysis|May 9, 2017
Slice-to-volume medical image registration: A surveyEnzo Ferrante, Nikos Paragios
International Journal of Computer Assisted Radiology and Surgery|April 23, 2015
Slice-to-volume deformable registration: efficient one-shot consensus between plane selection and in-plane deformationEnzo Ferrante, Vivien Fecamp, Nikos Paragios
Neural Networks : the Official Journal of the International Neural Network Society|February 9, 2020
Learning deformable registration of medical images with anatomical constraintsLucas Mansilla, Diego H Milone, Enzo Ferrante
Nature Communications|August 6, 2022
Addressing fairness in artificial intelligence for medical imagingMaría Agustina Ricci Lara, Rodrigo Echeveste, Enzo Ferrante
Network Neuroscience (Cambridge, Mass.)|January 6, 2023
Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inferenceRodrigo Echeveste, Enzo Ferrante, Diego H Milone, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising AutoencodersAgostina J Larrazabal, Cesar Martinez, Ben Glocker, et al.
IEEE Journal of Biomedical and Health Informatics|September 13, 2018
Weakly Supervised Learning of Metric Aggregations for Deformable Image RegistrationEnzo Ferrante, Puneet Kumar Dokania, Rafael Marini Silva, et al.
Computers in Biology and Medicine|July 4, 2025
Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimationFranco Matzkin, Agostina Larrazabal, Diego H Milone, et al.
European Radiology|June 11, 2024
Class imbalance on medical image classification: towards better evaluation practices for discrimination and calibration performanceCandelaria Mosquera, Luciana Ferrer, Diego H Milone, et al.
Pageof 4