Theo dõi
Enzo Ferrante
Enzo Ferrante
CONICET & Universidad de Buenos Aires
Email được xác minh tại dc.uba.ar - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
22922018
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
8402017
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
6512018
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
6202020
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
5972017
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
4502016
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
3792018
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
284*2017
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
2402017
Slice-to-volume medical image registration: a survey
E Ferrante, N Paragios
Medical Image Analysis 39, 101-123, 2017
2172017
Sub-cortical brain structure segmentation using F-CNN's
M Shakeri, S Tsogkas, E Ferrante, S Lippe, S Kadoury, N Paragios, ...
ISBI 2016, 2016
1592016
Addressing fairness in artificial intelligence for medical imaging
MA Ricci Lara, R Echeveste, E Ferrante
nature communications 13 (1), 4581, 2022
1472022
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study
M Monteiro, VFJ Newcombe, F Mathieu, K Adatia, K Kamnitsas, ...
The Lancet Digital Health 2 (6), e314-e322, 2020
1432020
Brainlesion: glioma, multiple sclerosis, stroke and traumatic brain injuries
K Kamnitsas, E Ferrante, S Parisot, C Ledig, AV Nori, A Criminisi, ...
Second International Workshop, BrainLes, 2016
1262016
Domain Generalization via Gradient Surgery
L Mansilla, R Echeveste, DH Milone, E Ferrante
ICCV 2021: International Conference on Computer Vision, 2021
962021
Learning deformable registration of medical images with anatomical constraints
L Mansilla, DH Milone, E Ferrante
Neural Networks, 2020
962020
Unsupervised Lesion Detection in Brain CT using Bayesian Convolutional Autoencoders
N Pawlowski, MCH Lee, M Rajchl, S McDonagh, E Ferrante, K Kamnitsas, ...
MIDL: Medical Imaging with Deep Learning Conference, 2018
832018
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders
AJ Larrazabal, C Martínez, B Glocker, E Ferrante
IEEE Transactions on Medical Imaging, 2020
792020
Inteligencia artificial y sesgos algorítmicos ¿Por qué deberían importarnos?
E Ferrante
Nueva sociedad, 27-36, 2021
642021
On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains
E Ferrante, O Oktay, B Glocker, DH Milone
MICCAI MLMI Workshop: Machine Learning in Medical Imaging, 2018
582018
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