Segui
Tom Vercauteren
Titolo
Citata da
Citata da
Anno
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
A Klein, J Andersson, BA Ardekani, J Ashburner, B Avants, MC Chiang, ...
Neuroimage 46 (3), 786-802, 2009
26372009
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
CH Sudre, W Li, T Vercauteren, S Ourselin, MJ Cardoso
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017
24072017
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
18162018
Diffeomorphic demons: Efficient non-parametric image registration
T Vercauteren, X Pennec, A Perchant, N Ayache
NeuroImage 45 (1), S61-S72, 2009
17872009
Interactive medical image segmentation using deep learning with image-specific fine-tuning
G Wang, W Li, MA Zuluaga, R Pratt, PA Patel, M Aertsen, T Doel, ...
IEEE Transactions on Medical Imaging, 2018
8312018
NiftyNet: a deep-learning platform for medical imaging
E Gibson, W Li, C Sudre, L Fidon, D Shakir, G Wang, Z Eaton-Rosen, ...
Computer methods and programs in biomedicine 158 (May), 113-122, 2018
6732018
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
G Wang, W Li, S Ourselin, T Vercauteren
International MICCAI 2017 Brainlesion Workshop 10670, 178-190, 2018
6292018
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
G Wang, W Li, M Aertsen, J Deprest, S Ourselin, T Vercauteren
Neurocomputing 338, 34-45, 2019
5622019
Non-parametric diffeomorphic image registration with the demons algorithm
T Vercauteren, X Pennec, A Perchant, N Ayache
International Conference on Medical Image Computing and Computer-Assisted …, 2007
5352007
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge.
K Murphy, B Van Ginneken, J Reinhardt, S Kabus, K Ding, X Deng, K Cao, ...
IEEE transactions on medical imaging 30 (11), 1901-1920, 2011
5092011
Symmetric log-domain diffeomorphic registration: A demons-based approach
T Vercauteren, X Pennec, A Perchant, N Ayache
International conference on medical image computing and computer-assisted …, 2008
4812008
CA-Net: Comprehensive attention convolutional neural networks for explainable medical image segmentation
R Gu, G Wang, T Song, R Huang, M Aertsen, J Deprest, S Ourselin, ...
IEEE transactions on medical imaging 40 (2), 699-711, 2020
4372020
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
G Wang, MA Zuluaga, W Li, R Pratt, PA Patel, M Aertsen, T Doel, ...
Transactions on Pattern Analysis and Machine Intelligence, 2018
4192018
Weakly-supervised convolutional neural networks for multimodal image registration
Y Hu, M Modat, E Gibson, W Li, N Ghavami, E Bonmati, G Wang, ...
Medical image analysis 49, 1-13, 2018
4172018
In vivo imaging of the bronchial wall microstructure using fibered confocal fluorescence microscopy
L Thiberville, S Moreno-Swirc, T Vercauteren, E Peltier, C Cavé, ...
American journal of respiratory and critical care medicine 175 (1), 22-31, 2007
4102007
Spherical demons: fast diffeomorphic landmark-free surface registration
BTT Yeo, MR Sabuncu, T Vercauteren, N Ayache, B Fischl, P Golland
IEEE transactions on medical imaging 29 (3), 650-668, 2010
4032010
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
W Li, G Wang, L Fidon, S Ourselin, MJ Cardoso, T Vercauteren
Information Processing in Medical Imaging, 348-360, 2017
3932017
MONAI: An open-source framework for deep learning in healthcare
MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ...
arXiv preprint arXiv:2211.02701, 2022
2572022
Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks with Uncertainty Estimation
G Wang, W Li, S Ourselin, T Vercauteren
Frontiers in Computational Neuroscience 13, 56, 2019
2252019
An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI
M Ebner, G Wang, W Li, M Aertsen, PA Patel, R Aughwane, A Melbourne, ...
NeuroImage 206, 116324, 2020
2222020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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