Wenqi Li
Wenqi Li
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
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
5102017
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
3402018
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
2982018
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
2522018
Automatic brain tumor segmentation using cascaded anisotropic convolutional neural networks
G Wang, W Li, S Ourselin, T Vercauteren
International MICCAI Brainlesion Workshop, 178-190, 2017
2412017
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
1632017
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
1172018
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
992018
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
762017
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
712019
An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens
S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna
Pattern Recognition 51, 12-26, 2016
682016
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
622017
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
602016
HEp-2 cell classification using multi-resolution local patterns and ensemble SVMs
S Manivannan, W Li, S Akbar, R Wang, J Zhang, SJ McKenna
2014 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014
472014
Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks
W Li, S Manivannan, S Akbar, J Zhang, E Trucco, SJ McKenna
ISBI, 2016
442016
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
372018
Scalable multimodal convolutional networks for brain tumour segmentation
L Fidon, W Li, LC Garcia-Peraza-Herrera, J Ekanayake, N Kitchen, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
372017
Privacy-preserving Federated Brain Tumour Segmentation
W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ...
International Workshop on Machine Learning in Medical Imaging, 133-141, 2019
302019
Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks with Uncertainty Estimation
G Wang, W Li, T Vercauteren, S Ourselin
Frontiers in Computational Neuroscience 13, 56, 2019
292019
Structure Prediction for Gland Segmentation With Hand-Crafted and Deep Convolutional Features
S Manivannan, W Li, J Zhang, E Trucco, SJ McKenna
IEEE transactions on medical imaging 37 (1), 210-221, 2018
262018
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