Enzo Ferrante
Enzo Ferrante
Verified email at sinc.unl.edu.ar - Homepage
Title
Cited by
Cited by
Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
4012018
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, ...
IEEE Trans Med Imaging, 2017
3452017
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ...
BrainLes 2017: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic …, 2017
2422017
DeepMedic for Brain Tumor Segmentation
K Kamnitsas, E Ferrante, S Parisot, C Ledig, AV Nori, A Criminisi, ...
International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke …, 2016
1802016
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease
S Parisot, SI Ktena, E Ferrante, M Lee, R Guerrero, B Glocker, D Rueckert
Medical image analysis 48, 117-130, 2018
1012018
Sub-cortical brain structure segmentation using F-CNN's
M Shakeri, S Tsogkas, E Ferrante, S Lippe, S Kadoury, N Paragios, ...
ISBI 2016, 2016
882016
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee, B Glocker, D Rueckert
MICCAI: International Conference on Medical Image Computing and Computer …, 2017
872017
Slice-to-volume medical image registration: a survey
E Ferrante, N Paragios
Medical Image Analysis 39, 101-123, 2017
832017
Metric learning with spectral graph convolutions on brain connectivity networks
SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee, B Glocker, D Rueckert
NeuroImage 169, 431-442, 2018
802018
Spectral Graph Convolutions on Population Graphs for Disease Prediction
S Parisot, SI Ktena, E Ferrante, M Lee, RG Moreno, B Glocker, D Rueckert
MICCAI: International Conference on Medical Image Computing and Computer …, 2017
80*2017
Non-rigid 2d-3d medical image registration using markov random fields
E Ferrante, N Paragios
MICCAI: International Conference on Medical Image Computing and Computer …, 2013
322013
Unsupervised Lesion Detection in Brain CT using Bayesian Convolutional Autoencoders
N Pawlowski, MCH Lee, M Rajchl, S McDonagh, E Ferrante, K Kamnitsas, ...
Medical Imaging with Deep Learning (MIDL), 2018
282018
Slice-to-Volume Deformable Registration: Efficient one shot consensus between plane selection and in-plane deformation
E Ferrante, V Fecamp, N Paragios
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 16, 2015
202015
Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders
AJ Larrazabal, C Martinez, E Ferrante
MICCAI: International Conference on Medical Image Computing and Computer …, 2019
172019
Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
AJ Larrazabal, N Nieto, V Peterson, DH Milone, E Ferrante
Proceedings of the National Academy of Sciences 117 (23), 12592-12594, 2020
142020
Deep learning with ultrasound physics for fetal skull segmentation
JJ Cerrolaza, M Sinclair, Y Li, A Gomez, E Ferrante, J Matthew, C Gupta, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
142018
Learning deformable registration of medical images with anatomical constraints
L Mansilla, DH Milone, E Ferrante
Neural Networks, 2020
122020
On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains
E Ferrante, O Oktay, B Glocker, DH Milone
International Workshop on Machine Learning in Medical Imaging, 294-302, 2018
122018
Deformable Registration through Learning of Context-Specific Metric Aggregation
E Ferrante, PK Dokania, R Marini, N Paragios
International Workshop on Machine Learning in Medical Imaging, 256-265, 2017
92017
(Hyper)-graphical models in biomedical image analysis
N Paragios, E Ferrante, B Glocker, N Komodakis, S Parisot, EI Zacharaki
Medical Image Analysis 33, 102-106, 2016
92016
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