| 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 | 305 | 2021 |
| 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 | 267 | 2019 |
| 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 | 153 | 2024 |
| 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 | 78 | 2022 |
| 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 | 78 | 2020 |
| 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 | 66 | 2022 |
| 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 | 54 | 2018 |
| 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 | 49 | 2018 |
| 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 | 45 | 2022 |
| 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 | 43 | 2022 |
| 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 | 40 | 2021 |
| 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 | 33 | 2022 |
| 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 | 33 | 2020 |
| 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 | 32 | 2021 |
| Rethinking the unpretentious U-net for medical ultrasound image segmentation G Chen, L Li, J Zhang, Y Dai Pattern Recognition 142, 109728, 2023 | 30 | 2023 |
| 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 | 24 | 2023 |
| 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 | 24 | 2020 |
| 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 | 22 | 2021 |
| AttU-Net: attention U-Net for brain tumor segmentation S Wang, L Li, X Zhuang International MICCAI brainlesion workshop, 302-311, 2021 | 21 | 2021 |
| 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 | 20 | 2023 |
Xiahai ZhuangProfessor, School of Data Science, Fudan University在 fudan.edu.cn 的电子邮件经过验证
