Stebėti
Enzo Ferrante
Pavadinimas
Cituota
Cituota
Metai
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
8392017
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
6482018
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
5962017
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
1462022
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
952020
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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Straipsniai 1–20