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papers

Publications (16)

cs.CV2019

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, Mauricio Reyes, Andras Jakab +421

cs.CV2016

Prior-based Coregistration and Cosegmentation

Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas +4

cs.CV2017

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation

Ozan Oktay, Enzo Ferrante, Konstantinos Kamnitsas +10

cs.CV2018

Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration

Enzo Ferrante, Puneet K. Dokania, Rafael Marini Silva +1

cs.CV2016

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

Roque Porchetto, Franco Stramana, Nikos Paragios +1

cs.CV2017

Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks

Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante +4

stat.ML2018

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease

Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante +4

cs.CV2017

Deformable Registration through Learning of Context-Specific Metric Aggregation

Enzo Ferrante, Puneet K Dokania, Rafael Marini +1

stat.ML2017

Spectral Graph Convolutions for Population-based Disease Prediction

Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante +4

cs.CV2019

Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets

Nicolas Roulet, Diego Fernandez Slezak, Enzo Ferrante

eess.IV2019

Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders

Agostina J. Larrazabal, Cesar Martinez, Enzo Ferrante

cs.CV2016

Sub-cortical brain structure segmentation using F-CNN's

Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante +4

cs.CV2018

Left ventricle quantification through spatio-temporal CNNs

Alejandro Debus, Enzo Ferrante

cs.CV2017

Slice-to-volume medical image registration: a survey

Enzo Ferrante, Nikos Paragios

cs.CV2017

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante +8

cs.CV2017

Publications (16)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Prior-based Coregistration and Cosegmentation

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation

Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration

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

Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease

Deformable Registration through Learning of Context-Specific Metric Aggregation

Spectral Graph Convolutions for Population-based Disease Prediction

Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets

Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders

Sub-cortical brain structure segmentation using F-CNN's

Left ventricle quantification through spatio-temporal CNNs

Slice-to-volume medical image registration: a survey

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Arabidopsis roots segmentation based on morphological operations and CRFs