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Picture for Enzo Ferrante

Enzo Ferrante

CVN, CentraleSupelec-INRIA, Universite Paris-Saclay, France

Hybrid graph convolutional neural networks for landmark-based anatomical segmentation


Jun 17, 2021
Nicolás Gaggion, Lucas Mansilla, Diego Milone, Enzo Ferrante

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* Accepted for publication at MICCAI 2021 
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Orthogonal Ensemble Networks for Biomedical Image Segmentation


May 22, 2021
Agostina J. Larrazabal, CĂ©sar MartĂ­nez, Jose Dolz, Enzo Ferrante

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* Accepted for publication at MICCAI 2021 
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Cranial Implant Design via Virtual Craniectomy with Shape Priors


Sep 29, 2020
Franco Matzkin, Virginia Newcombe, Ben Glocker, Enzo Ferrante

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Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images


Sep 10, 2020
Julian Alberto Palladino, Diego Fernandez Slezak, Enzo Ferrante

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* Accepted for publication in the International Seminar on Medical Information Processing and Analysis (SIPAIM 2020) 
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Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy


Jul 11, 2020
Franco Matzkin, Virginia Newcombe, Susan Stevenson, Aneesh Khetani, Tom Newman, Richard Digby, Andrew Stevens, Ben Glocker, Enzo Ferrante

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* Accepted for publication in MICCAI 2020. Update: Figure 1 corrected to match description 
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Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders


Jun 24, 2020
Agostina J Larrazabal, CĂ©sar MartĂ­nez, Ben Glocker, Enzo Ferrante

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* IEEE Transactions on Medical Imaging (IEEE TMI), 2020 
 * Accepted for publication in IEEE Transactions on Medical Imaging (IEEE TMI) 
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Learning Deformable Registration of Medical Images with Anatomical Constraints


Jan 22, 2020
Lucas Mansilla, Diego H. Milone, Enzo Ferrante

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* Accepted for publication in Neural Networks (Elsevier). Source code and resulting segmentation masks for the NIH Chest-XRay14 dataset with estimated quality index available at https://github.com/lucasmansilla/ACRN_Chest_X-ray_IA 
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Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders


Jun 05, 2019
Agostina J. Larrazabal, Cesar Martinez, Enzo Ferrante

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* Accepted for publication in MICCAI 2019 
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Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets


Apr 15, 2019
Nicolas Roulet, Diego Fernandez Slezak, Enzo Ferrante

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* Accepted for publication at MIDL 2019. Open reviews available at: https://openreview.net/forum?id=Syest0rxlN 
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Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration


Sep 24, 2018
Enzo Ferrante, Puneet K. Dokania, Rafael Marini Silva, Nikos Paragios

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* Accepted for publication in IEEE Journal of Biomedical and Health Informatics, 2018 
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Left ventricle quantification through spatio-temporal CNNs


Aug 23, 2018
Alejandro Debus, Enzo Ferrante

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* Accepted for publication at Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop @ MICCAI 2018 
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Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease


Jun 05, 2018
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert

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* in Press at Medical Image Analysis, MICCAI 2017 Special Issue 
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Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation


Dec 05, 2017
Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas, Mattias Heinrich, Wenjia Bai, Jose Caballero, Stuart Cook, Antonio de Marvao, Timothy Dawes, Declan O'Regan, Bernhard Kainz, Ben Glocker, Daniel Rueckert

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* Published in IEEE Transactions on Medical Imaging (Aug 2017) 
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Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation


Nov 04, 2017
Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker

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* The method won the 1st-place in the Brain Tumour Segmentation (BRATS) 2017 competition (segmentation task) 
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Deformable Registration through Learning of Context-Specific Metric Aggregation


Jul 19, 2017
Enzo Ferrante, Puneet K Dokania, Rafael Marini, Nikos Paragios

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* Accepted for publication in the 8th International Workshop on Machine Learning in Medical Imaging (MLMI 2017), in conjunction with MICCAI 2017 
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Spectral Graph Convolutions for Population-based Disease Prediction


Jun 21, 2017
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrerro Moreno, Ben Glocker, Daniel Rueckert

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* International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) 2017 
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Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks


Jun 14, 2017
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew Lee, Ben Glocker, Daniel Rueckert

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* International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) 2017 
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Slice-to-volume medical image registration: a survey


Apr 27, 2017
Enzo Ferrante, Nikos Paragios

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* Accepted for publication in Medical Image Analysis 
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Arabidopsis roots segmentation based on morphological operations and CRFs


Apr 25, 2017
José Ignacio Orlando, Hugo Luis Manterola, Enzo Ferrante, Federico Ariel

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Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields


Aug 19, 2016
Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante

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* Bayesian and Graphical Models for Biomedical Imaging Workshop, BAMBI (MICCAI 2016, Athens, Greece) 
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Prior-based Coregistration and Cosegmentation


Jul 22, 2016
Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas, Sarah Lippe, Samuel Kadoury, Iasonas Kokkinos, Nikos Paragios

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* MICCAI 2016 
 * The first two authors contributed equally 
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Sub-cortical brain structure segmentation using F-CNN's


Feb 05, 2016
Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante, Sarah Lippe, Samuel Kadoury, Nikos Paragios, Iasonas Kokkinos

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* ISBI 2016: International Symposium on Biomedical Imaging, Apr 2016, Prague, Czech Republic 
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