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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
25112017
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
18632018
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), 1-7, 2020
15712020
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
8542018
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
6722018
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
6362018
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
5602019
Privacy-preserving federated brain tumour segmentation
W Li, F Milletarž, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ...
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019†…, 2019
5382019
Self-supervised pre-training of swin transformers for 3d medical image analysis
Y Tang, D Yang, W Li, HR Roth, B Landman, D Xu, V Nath, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2022
4822022
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
4292018
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
4282018
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
3992017
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
3032022
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
2322021
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
2302019
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
2252020
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
1872020
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
1812017
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
1782019
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
1602019
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