Guotai Wang
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
4732018
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, 113-122, 2018
3512018
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 37 (7), 1562-1573, 2018
3042018
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
G Wang, W Li, S Ourselin, T Vercauteren
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
2832018
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
International Conference on Information Processing in Medical Imaging, 348-360, 2017
1852017
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
1352018
DeepIGeoS: A deep interactive geodesic framework for medical image segmentation
G Wang, MA Zuluaga, W Li, R Pratt, PA Patel, M Aertsen, T Doel, ...
IEEE transactions on pattern analysis and machine intelligence 41 (7), 1559 …, 2019
1322019
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
1132019
A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images
G Wang, X Liu, C Li, Z Xu, J Ruan, H Zhu, T Meng, K Li, N Huang, ...
IEEE Transactions on Medical Imaging 39 (8), 2653-2663, 2020
522020
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, 2019
522019
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation
G Wang, W Li, S Ourselin, T Vercauteren
International MICCAI Brainlesion Workshop, 61-72, 2018
492018
A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning
G Wang, S Zhang, H Xie, DN Metaxas, L Gu
Medical image analysis 19 (1), 176-186, 2015
412015
Slic-Seg: A Minimally Interactive Segmentation of the Placenta from Sparse and Motion-Corrupted Fetal MRI in Multiple Views
G Wang, MA Zuluaga, R Pratt, M Aertsen, T Doel, M Klusmann, AL David, ...
Medical Image Analysis 34, 137-147, 2016
352016
A new segmentation framework based on sparse shape composition in liver surgery planning system
G Wang, S Zhang, F Li, L Gu
Medical physics 40 (5), 051913, 2013
302013
An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI
M Ebner, G Wang, W Li, M Aertsen, PA Patel, R Aughwane, A Melbourne, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
272018
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
232020
Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning
G Wang, MA Zuluaga, R Pratt, M Aertsen, AL David, J Deprest, ...
Medical Image Computing and Computer-Assisted Intervention — MICCAI 2015 …, 2015
172015
Test-time augmentation with uncertainty estimation for deep learning-based medical image segmentation
G Wang, W Li, M Aertsen, J Deprest, S Ourselin, T Vercauteren
16*2018
International MICCAI Brainlesion Workshop
G Wang, W Li, S Ourselin, T Vercauteren
Cham: Springer, 178-190, 2017
152017
An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI
J Shapey, G Wang, R Dorent, A Dimitriadis, W Li, I Paddick, N Kitchen, ...
Journal of Neurosurgery 1 (aop), 1-9, 2019
132019
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