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Tom Vercauteren
Tom Vercauteren
Professor of Interventional Image Computing, King's College London
Bestätigte E-Mail-Adresse bei kcl.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
26882017
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
26852009
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
19932018
Diffeomorphic demons: Efficient non-parametric image registration
T Vercauteren, X Pennec, A Perchant, N Ayache
NeuroImage 45 (1), S61-S72, 2009
18632009
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
8912018
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
6902018
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
6642018
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
6382019
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
5502007
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
5222011
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
5122020
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
4922008
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
4532018
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
4512018
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
4202022
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
4152010
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
4142007
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
4112017
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
2452019
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
2402020
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