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Lei Li
Lei Li
University of Southampton | University of Oxford
在 eng.ox.ac.uk 的电子邮件经过验证 - 首页
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Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge
VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ...
IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021
3052021
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
X Zhuang, L Li, C Payer, D Stern, M Urschler, MP Heinrich, J Oster, ...
Medical Image Analysis 58 (101537), 2019
2672019
Segment anything model for medical images?
Y Huang, X Yang, L Liu, H Zhou, A Chang, X Zhou, R Chen, J Yu, J Chen, ...
Medical Image Analysis 92, 103061, 2024
1532024
AAU-net: an adaptive attention U-net for breast lesions segmentation in ultrasound images
G Chen, L Li, Y Dai, J Zhang, MH Yap
IEEE Transactions on Medical Imaging 42 (5), 1289-1300, 2022
782022
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework
L Li, F Wu, G Yang, L Xu, T Wong, R Mohiaddin, D Firmin, J Keegan, ...
Medical Image Analysis 60 (101595), 2020
782020
Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge
X Zhuang, J Xu, X Luo, C Chen, C Ouyang, D Rueckert, VM Campello, ...
Medical Image Analysis 81, 102528, 2022
662022
Fully automatic segmentation and objective assessment of atrial scars for long‐standing persistent atrial fibrillation patients using late gadolinium‐enhanced MRI
G Yang, X Zhuang, H Khan, S Haldar, E Nyktari, L Li, R Wage, X Ye, ...
Medical physics 45 (4), 1562-1576, 2018
542018
Bayesian voxdrn: A probabilistic deep voxelwise dilated residual network for whole heart segmentation from 3d mr images
Z Shi, G Zeng, L Zhang, X Zhuang, L Li, G Yang, G Zheng
International Conference on Medical Image Computing and Computer-Assisted …, 2018
492018
Medical image analysis on left atrial LGE MRI for atrial fibrillation studies: a review
L Li, VA Zimmer, JA Schnabel, X Zhuang
Medical Image Analysis 77, 102360, 2022
452022
AtrialJSQnet: a new framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information
L Li, VA Zimmer, JA Schnabel, X Zhuang
Medical image analysis 76, 102303, 2022
432022
AtrialGeneral: domain generalization for left atrial segmentation of multi-center LGE MRIs
L Li, VA Zimmer, JA Schnabel, X Zhuang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
402021
AWSnet: An auto-weighted supervision attention network for myocardial scar and edema segmentation in multi-sequence cardiac magnetic resonance images
KN Wang, X Yang, J Miao, L Li, J Yao, P Zhou, W Xue, GQ Zhou, ...
Medical Image Analysis 77, 102362, 2022
332022
Joint left atrial segmentation and scar quantification based on a DNN with spatial encoding and shape attention
L Li, X Weng, JA Schnabel, X Zhuang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
332020
Brain Tumor Segmentation Network Using Attention-based Fusion and Spatial Relationship Constraint
C Liu, W Ding, L Li, Z Zhang, C Pei, L Huang, X Zhuang
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021
322021
Rethinking the unpretentious U-net for medical ultrasound image segmentation
G Chen, L Li, J Zhang, Y Dai
Pattern Recognition 142, 109728, 2023
302023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge
C Martín-Isla, VM Campello, C Izquierdo, K Kushibar, C Sendra-Balcells, ...
IEEE Journal of Biomedical and Health Informatics, 2023
242023
Cross-modality multi-atlas segmentation using deep neural networks
W Ding, L Li, X Zhuang, L Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2020
242020
Random style transfer based domain generalization networks integrating shape and spatial information
L Li, VA Zimmer, W Ding, F Wu, L Huang, JA Schnabel, X Zhuang
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021
222021
AttU-Net: attention U-Net for brain tumor segmentation
S Wang, L Li, X Zhuang
International MICCAI brainlesion workshop, 302-311, 2021
212021
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images
L Li, F Wu, S Wang, X Luo, C Martín-Isla, S Zhai, J Zhang, Y Liu, Z Zhang, ...
Medical Image Analysis 87, 102808, 2023
202023
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