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Renzhen Wang
Renzhen Wang
在 xjtu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
LT-net: label transfer by learning reversible voxel-wise correspondence for one-shot medical image segmentation
S Wang, S Cao, D Wei, R Wang, K Ma, L Wang, D Meng, Y Zheng
IEEE Computer Vision and Pattern Recognition (CVPR), 2020, 9162-9171, 2020
692020
Weakly supervised lesion detection from fundus images
R Wang, B Chen, D Meng, L Wang
IEEE Transactions on Medical Imaging 38 (6), 1501-1512, 2018
362018
Rectifying supporting regions with mixed and active supervision for rib fracture recognition
YJ Huang, W Liu, X Wang, Q Fang, R Wang, Y Wang, H Chen, H Chen, ...
IEEE Transactions on Medical Imaging 39 (12), 3843-3854, 2020
252020
Pairwise learning for medical image segmentation
R Wang, S Cao, K Ma, Y Zheng, D Meng
Medical Image Analysis 67, 101876, 2021
182021
Neighbor matching for semi-supervised learning
R Wang, Y Wu, H Chen, L Wang, D Meng
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021 …, 2021
122021
Meta feature modulator for long-tailed recognition
R Wang, K Hu, Y Zhu, J Shu, Q Zhao, D Meng
arXiv preprint arXiv:2008.03428, 2020
112020
Pairwise semantic segmentation via conjugate fully convolutional network
R Wang, S Cao, K Ma, D Meng, Y Zheng
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019 …, 2019
92019
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
R Wang, X Jia, Q Wang, Y Wu, D Meng
International Conference on Learning Representations (ICLR), 2023, 2023
8*2023
Unsupervised learning of local discriminative representation for medical images
H Chen, J Li, R Wang, Y Huang, F Meng, D Meng, Q Peng, L Wang
Information Processing in Medical Imaging (IPMI), 2021, 373-385, 2021
62021
Label hierarchy transition: Modeling class hierarchies to enhance deep classifiers
R Wang, K Xiao, X Jia, X Han, D Meng
arXiv preprint arXiv:2112.02353, 2021
52021
Lrthr-net: a low-resolution-to-high-resolution framework to iteratively refine the segmentation of thyroid nodule in ultrasound images
H Chen, S Song, X Wang, R Wang, D Meng, L Wang
Segmentation, Classification, and Registration of Multi-modality Medical …, 2021
52021
Unsupervised local discrimination for medical images
H Chen, R Wang, X Wang, J Li, Q Fang, H Li, J Bai, Q Peng, D Meng, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
42023
Revisiting experience replay: Continual learning by adaptively tuning task-wise relationship
Q Wang, Y Li, D Wei, R Wang, K Ma, Y Zheng, D Meng
arXiv preprint arXiv:2112.15402, 2021
32021
CBA: Improving Online Continual Learning via Continual Bias Adaptor
Q Wang, R Wang, Y Wu, X Jia, D Meng
IEEE/CVF International Conference on Computer Vision (ICCV), 2023, 2023
22023
Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit
X Zhang, B Qian, Y Li, Z Gao, C Guan, R Wang, Y Zheng, H Zheng, C Li
IEEE International Conference on Data Mining (ICDM), 2022, 713-722, 2022
22022
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
Y Wu, LK Huang, R Wang, D Meng, Y Wei
International Conference on Learning Representations (ICLR), 2024, 2023
2023
DELVING INTO THE HIERARCHICAL STRUCTURE FOR EFFICIENT LARGE-SCALE BI-LEVEL LEARNING
X Jia, R Wang, D Meng, X Feng
2022
Residual Moment Loss for Medical Image Segmentation
Q Wang, R Wang, Y Li, K Ma, Y Zheng, D Meng
arXiv preprint arXiv:2106.14178, 2021
2021
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