Wenhui Lei
Cited by
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Medlsam: Localize and segment anything model for 3d medical images
W Lei, X Wei, X Zhang, K Li, S Zhang
arXiv preprint arXiv:2306.14752, 2023
Contrastive semi-supervised learning for domain adaptive segmentation across similar anatomical structures
R Gu, J Zhang, G Wang, W Lei, T Song, X Zhang, K Li, S Zhang
IEEE Transactions on Medical Imaging 42 (1), 245-256, 2022
Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss
W Lei, H Mei, Z Sun, S Ye, R Gu, H Wang, R Huang, S Zhang, S Zhang, ...
Neurocomputing 442, 184-199, 2021
Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention
H Mei, W Lei, R Gu, S Ye, Z Sun, S Zhang, G Wang
Neurocomputing 438, 211-222, 2021
Domain composition and attention for unseen-domain generalizable medical image segmentation
R Gu, J Zhang, R Huang, W Lei, G Wang, S Zhang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images
W Lei, W Xu, R Gu, H Fu, S Zhang, G Wang
MICCAI2021 early accept, student travel award, 2020
Myocardial edema and scar segmentation using a coarse-to-fine framework with weighted ensemble
S Zhai, R Gu, W Lei, G Wang
Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic …, 2020
DeepIGeoS-V2: Deep interactive segmentation of multiple organs from head and neck images with lightweight CNNs
W Lei, H Wang, R Gu, S Zhang, S Zhang, G Wang
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and …, 2019
One-shot weakly-supervised segmentation in 3D medical images
W Lei, Q Su, T Jiang, R Gu, N Wang, X Liu, G Wang, X Zhang, S Zhang
IEEE Transactions on Medical Imaging, 2023
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation
R Gu, G Wang, J Lu, J Zhang, W Lei, Y Chen, W Liao, S Zhang, K Li, ...
Medical Image Analysis 89, 102904, 2023
HMRNet: High and multi-resolution network with bidirectional feature calibration for brain structure segmentation in radiotherapy
H Fu, G Wang, W Lei, W Xu, Q Zhao, S Zhang, K Li, S Zhang
IEEE Journal of Biomedical and Health Informatics 26 (9), 4519-4529, 2022
AANet: artery-aware network for pulmonary embolism detection in CTPA images
J Guo, X Liu, Y Chen, S Zhang, G Tao, H Yu, H Zhu, W Lei, H Li, N Wang
International Conference on Medical Image Computing and Computer-Assisted …, 2022
CSAF-CNN: Cross-layer spatial attention map fusion network for organ-at-risk segmentation in head and neck CT images
Z Liu, H Wang, W Lei, G Wang
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1522-1525, 2020
Automatic segmentation of organs‐at‐risks of nasopharynx cancer and lung cancer by cross‐layer attention fusion network with TELD‐Loss
Z Liu, C Sun, H Wang, Z Li, Y Gao, W Lei, S Zhang, G Wang, S Zhang
Medical Physics 48 (11), 6987-7002, 2021
Priori and posteriori attention for generalizing head and neck tumors segmentation
J Lu, W Lei, R Gu, G Wang
3D Head and Neck Tumor Segmentation in PET/CT Challenge, 134-140, 2021
High-and low-level feature enhancement for medical image segmentation
H Wang, G Wang, Z Xu, W Lei, S Zhang
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation
R Gu, J Lu, J Zhang, W Lei, X Zhang, G Wang, S Zhang
arXiv preprint arXiv:2205.06551, 2022
Efficient Subclass Segmentation in Medical Images
L Dai, W Lei, X Zhang
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Segmentation of multiple Organs‐at‐Risk associated with brain tumors based on coarse‐to‐fine stratified networks
Q Zhao, G Wang, W Lei, H Fu, Y Qu, J Lu, S Zhang, S Zhang
Medical Physics 50 (7), 4430-4442, 2023
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation
Y Yu, H Chen, Z Zhang, Q Xiao, W Lei, L Dai, Y Fu, H Tan, G Wang, P Gao, ...
arXiv preprint arXiv:2403.17770, 2024
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