Παρακολούθηση
Guotai Wang
Guotai Wang
Professor, University of Electronic Science and Technology of China
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα uestc.edu.cn - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
21702018
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
9432018
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
7122018
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
6842018
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
6702019
Semi-supervised medical image segmentation through dual-task consistency
X Luo, J Chen, T Song, G Wang
AAAI Conference on Artificial Intelligence, 8801-8809, 2021
5982021
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
5842022
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
5802020
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
4852019
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
4802018
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
4592020
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
4252017
Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency
X Luo, W Liao, J Chen, T Song, Y Chen, S Zhang, N Chen, G Wang, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2021
2692021
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
2672019
Semi-supervised medical image segmentation via cross teaching between cnn and transformer
X Luo, M Hu, T Song, G Wang, S Zhang
International Conference on Medical Imaging with Deep Learning, 820-833, 2022
2612022
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
2602020
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency
X Luo, G Wang, W Liao, J Chen, T Song, Y Chen, S Zhang, DN Metaxas, ...
Medical Image Analysis 80, 102517, 2022
2252022
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
2122018
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
X Luo, W Liao, J Xiao, J Chen, T Song, X Zhang, K Li, DN Metaxas, ...
Medical Image Analysis 82, 102642, 2022
1272022
MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning
X Luo, G Wang, T Song, J Zhang, M Aertsen, J Deprest, S Ourselin, ...
Medical Image Analysis 72, 102102, 2021
1142021
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