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Wenhui Lei
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2020 – today
- 2025
- [j7]Wenhui Lei, Wei Xu, Kang Li, Xiaofan Zhang, Shaoting Zhang:
MedLSAM: Localize and segment anything model for 3D CT images. Medical Image Anal. 99: 103370 (2025) - 2024
- [j6]Wenhui Lei, Qi Su, Tianyu Jiang, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang:
One-Shot Weakly-Supervised Segmentation in 3D Medical Images. IEEE Trans. Medical Imaging 43(1): 175-189 (2024) - [i13]Yongrui Yu, Hanyu Chen, Zitian Zhang, Qiong Xiao, Wenhui Lei, Linrui Dai, Yu Fu, Hui Tan, Guan Wang, Peng Gao, Xiaofan Zhang:
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation. CoRR abs/2403.17770 (2024) - [i12]Yankai Jiang, Wenhui Lei, Xiaofan Zhang, Shaoting Zhang:
Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment. CoRR abs/2410.15744 (2024) - 2023
- [j5]Ran Gu, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. Medical Image Anal. 89: 102904 (2023) - [j4]Ran Gu, Jingyang Zhang, Guotai Wang, Wenhui Lei, Tao Song, Xiaofan Zhang, Kang Li, Shaoting Zhang:
Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures. IEEE Trans. Medical Imaging 42(1): 245-256 (2023) - [c13]Linrui Dai, Wenhui Lei, Xiaofan Zhang:
Efficient Subclass Segmentation in Medical Images. MICCAI (2) 2023: 266-275 - [i11]Wenhui Lei, Xu Wei, Xiaofan Zhang, Kang Li, Shaoting Zhang:
MedLSAM: Localize and Segment Anything Model for 3D Medical Images. CoRR abs/2306.14752 (2023) - [i10]Linrui Dai, Wenhui Lei, Xiaofan Zhang:
Efficient Subclass Segmentation in Medical Images. CoRR abs/2307.00257 (2023) - 2022
- [j3]Hao Fu, Guotai Wang, Wenhui Lei, Wei Xu, Qianfei Zhao, Shichuan Zhang, Kang Li, Shaoting Zhang:
HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy. IEEE J. Biomed. Health Informatics 26(9): 4519-4529 (2022) - [c12]Jia Guo, Xinglong Liu, Yinan Chen, Shaoting Zhang, Guangyu Tao, Hong Yu, Huiyuan Zhu, Wenhui Lei, Huiqi Li, Na Wang:
AANet: Artery-Aware Network for Pulmonary Embolism Detection in CTPA Images. MICCAI (1) 2022: 473-483 - [i9]Ran Gu, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Xiaofan Zhang, Guotai Wang, Shaoting Zhang:
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation. CoRR abs/2205.06551 (2022) - [i8]Hao Fu, Guotai Wang, Wenhui Lei, Wei Xu, Qianfei Zhao, Shichuan Zhang, Kang Li, Shaoting Zhang:
HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy. CoRR abs/2206.02959 (2022) - [i7]Ran Gu, Jingyang Zhang, Guotai Wang, Wenhui Lei, Tao Song, Xiaofan Zhang, Kang Li, Shaoting Zhang:
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures. CoRR abs/2208.08605 (2022) - [i6]Ran Gu, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation. CoRR abs/2211.12081 (2022) - 2021
- [j2]Haochen Mei, Wenhui Lei, Ran Gu, Shan Ye, Zhengwentai Sun, Shichuan Zhang, Guotai Wang:
Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention. Neurocomputing 438: 211-222 (2021) - [j1]Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss. Neurocomputing 442: 184-199 (2021) - [c11]Jiangshan Lu, Wenhui Lei, Ran Gu, Guotai Wang:
Priori and Posteriori Attention for Generalizing Head and Neck Tumors Segmentation. HECKTOR@MICCAI 2021: 134-140 - [c10]Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Shichuan Zhang, Guotai Wang:
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images. MICCAI (2) 2021: 155-165 - [c9]Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang, Shaoting Zhang:
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. MICCAI (3) 2021: 241-250 - [i5]Haochen Mei, Wenhui Lei, Ran Gu, Shan Ye, Zhengwentai Sun, Shichuan Zhang, Guotai Wang:
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention. CoRR abs/2101.11254 (2021) - [i4]Wenhui Lei, Haochen Mei, Zhengwentai Sun, Shan Ye, Ran Gu, Huan Wang, Rui Huang, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss. CoRR abs/2102.01897 (2021) - [i3]Ran Gu, Jingyang Zhang, Rui Huang, Wenhui Lei, Guotai Wang, Shaoting Zhang:
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation. CoRR abs/2109.08852 (2021) - [i2]Wenhui Lei, Qi Su, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang:
One-shot Weakly-Supervised Segmentation in Medical Images. CoRR abs/2111.10773 (2021) - 2020
- [c8]Zuhao Liu, Huan Wang, Wenhui Lei, Guotai Wang:
CSAF-CNN: Cross-Layer Spatial Attention Map Fusion Network for Organ-at-Risk Segmentation in Head and Neck CT Images. ISBI 2020: 1522-1525 - [c7]Shuwei Zhai, Ran Gu, Wenhui Lei, Guotai Wang:
Myocardial Edema and Scar Segmentation Using a Coarse-to-Fine Framework with Weighted Ensemble. MyoPS@MICCAI 2020: 49-59 - [i1]Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Guotai Wang:
One-Shot Object Localization in Medical Images based on Relative Position Regression. CoRR abs/2012.07043 (2020)
2010 – 2019
- 2019
- [c6]Matti Kutila, Pasi Pyykönen, Qing Huang, Wei Deng, Wenhui Lei, Emmanuel Pollakis:
C-V2X Supported Automated Driving. ICC Workshops 2019: 1-5 - [c5]Wenhui Lei, Huan Wang, Ran Gu, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 61-69 - [c4]Huan Wang, Guotai Wang, Zhihan Xu, Wenhui Lei, Shaoting Zhang:
High- and Low-Level Feature Enhancement for Medical Image Segmentation. MLMI@MICCAI 2019: 611-619 - 2017
- [c3]Roman Roor, Michael Karg, Andy Liao, Wenhui Lei, Alexandra Kirsch:
Predictive ridesharing based on personal mobility patterns. Intelligent Vehicles Symposium 2017: 1322-1329 - 2016
- [c2]Teng Zhang, Zhipeng Chen, Ji Wu, Sam Lai, Wenhui Lei, Carsten Isert:
Objective Evaluation Methods for Chinese Text-To-Speech Systems. INTERSPEECH 2016: 332-336 - 2015
- [c1]Heng Lu, Wei Zhang, Xu Shao, Quan Zhou, Wenhui Lei, Hongbin Zhou, Andrew P. Breen:
Pruning redundant synthesis units based on static and delta unit appearance frequency. INTERSPEECH 2015: 269-273
Coauthor Index
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last updated on 2024-12-01 00:15 CET by the dblp team
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