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Wenqi Li
Wenqi Li
Verified email at nvidia.com - Homepage
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Year
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
15762017
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
12112018
The future of digital health with federated learning
N Rieke, J Hancox, W Li, F Milletari, HR Roth, S Albarqouni, S Bakas, ...
NPJ digital medicine 3 (1), 119, 2020
6752020
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
6152018
NiftyNet: a deep-learning platform for medical imaging
E Gibson, W Li, C Sudre, L Fidon, DI Shakir, G Wang, Z Eaton-Rosen, ...
Computer methods and programs in biomedicine 158, 113-122, 2018
5562018
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
4662018
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
3202019
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: 25th International Conference …, 2017
3052017
Privacy-preserving federated brain tumour segmentation
W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ...
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
3032019
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
3002018
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), 1559-1572, 2018
2942018
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
1522019
Generalised wasserstein dice score for imbalanced multi-class segmentation using holistic convolutional networks
L Fidon, W Li, LC Garcia-Peraza-Herrera, J Ekanayake, N Kitchen, ...
International MICCAI Brainlesion Workshop, 64-76, 2017
1452017
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
1232020
Toolnet: holistically-nested real-time segmentation of robotic surgical tools
LC Garcia-Peraza-Herrera, W Li, L Fidon, C Gruijthuijsen, A Devreker, ...
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
1192017
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan
D Yang, Z Xu, W Li, A Myronenko, HR Roth, S Harmon, S Xu, B Turkbey, ...
Medical Image Analysis, 101992, 2021
1162021
Automatic brain tumor segmentation using convolutional neural networks with test-time augmentation
G Wang, W Li, S Ourselin, T Vercauteren
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
1072019
Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking
LC García-Peraza-Herrera, W Li, C Gruijthuijsen, A Devreker, G Attilakos, ...
International Workshop on Computer-Assisted and Robotic Endoscopy, 84-95, 2016
952016
Federated learning for breast density classification: A real-world implementation
HR Roth, K Chang, P Singh, N Neumark, W Li, V Gupta, S Gupta, L Qu, ...
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
882020
2017 Robotic Instrument Segmentation Challenge
M Allan, A Shvets, T Kurmann, Z Zhang, R Duggal, YH Su, N Rieke, ...
arXiv preprint arXiv:1902.06426, 2019
882019
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