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Shichuan Zhang
Shichuan Zhang
未知所在单位机构
在 westlake.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Development of a tongue image-based machine learning tool for the diagnosis of gastric cancer: a prospective multicentre clinical cohort study
L Yuan, L Yang, S Zhang, Z Xu, J Qin, Y Shi, P Yu, Y Wang, Z Bao, Y Xia, ...
EClinicalMedicine 57, 2023
472023
End-to-end cell recognition by point annotation
Z Shui, S Zhang, C Zhu, B Wang, P Chen, S Zheng, L Yang
International Conference on Medical Image Computing and Computer-Assisted …, 2022
102022
Generalizing nucleus recognition model in multi-source ki67 immunohistochemistry stained images via domain-specific pruning
J Cai, C Zhu, C Cui, H Li, T Wu, S Zhang, L Yang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
92021
Weakly supervised learning for cell recognition in immunohistochemical cytoplasm staining images
S Zhang, C Zhu, H Li, J Cai, L Yang
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
52022
Exploring Unsupervised Cell Recognition with Prior Self-activation Maps
P Chen, C Zhu, Z Shui, J Cai, S Zheng, S Zhang, L Yang
International Conference on Medical Image Computing and Computer-Assisted …, 2023
42023
Deformable Proposal-Aware P2PNet: A Universal Network for Cell Recognition under Point Supervision
Z Shui, S Zheng, X Yu, S Zhang, H Li, J Li, L Yang
arXiv preprint arXiv:2303.02602 1, 2023
42023
Unsupervised dense nuclei detection and segmentation with prior self-activation map for histology images
P Chen, C Zhu, Z Shui, J Cai, S Zheng, S Zhang, L Yang
arXiv preprint arXiv:2210.07862, 2022
42022
HLS-FGVC: Hierarchical Label Semantics Enhanced Fine-Grained Visual Classification
S Zhang, S Zheng, Z Shui, L Yang
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
32024
Gradient-aware learning for joint biases: Label noise and class imbalance
S Zhang, C Zhu, H Li, J Cai, L Yang
Neural Networks 171, 374-382, 2024
22024
Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis
S Zhang, S Zheng, Z Shui, H Li, L Yang
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
22023
Masked conditional variational autoencoders for chromosome straightening
J Li, S Zheng, Z Shui, S Zhang, L Yang, Y Sun, Y Zhang, H Li, Y Ye, ...
IEEE Transactions on Medical Imaging, 2023
22023
Category Separation For Weakly Supervised Multi-Class Cell Counting
J Cai, C Zhu, P Chen, S Zhang, H Li, Y Sun, L Yang
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
22022
A hierarchical framwork with improved loss for large-scale multi-modal video identification
S Zhang, Z Tang, H Pan, X Wei, J Huang
Proceedings of the 27th ACM International Conference on Multimedia, 2539-2542, 2019
22019
Semi-supervised Cell Recognition under Point Supervision
Z Shui, Y Zhao, S Zheng, Y Zhang, H Li, S Zhang, X Yu, C Zhu, L Yang
arXiv preprint arXiv:2306.08240, 2023
12023
Weakly Supervised Classification using Multi-Level Instance-Aware Optimization on Cervical Cytologic Image
C Zhu, Y Sun, H Li, C Cui, S Zhang, J Cai, Y Ling
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
12022
Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis
H Li, Y Sun, C Zhu, Y Zhang, S Zhang, Z Shui, P Chen, J Li, S Zheng, ...
arXiv preprint arXiv:2407.19512, 2024
2024
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels
Z Jia, J Li, S Zhang, A Liu, Z Zheng
arXiv preprint arXiv:2406.16293, 2024
2024
DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection
Z Shui, S Zheng, C Zhu, S Zhang, X Yu, H Li, J Li, P Chen, L Yang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 4864-4872, 2024
2024
Early-fusion based pulsar identification with smart under-sampling
SC Zhang, XC Kong, YY Zhou, LY Chen, XY Zheng, CL Xu, BQ Lao, T An
Research in Astronomy and Astrophysics 21 (10), 257, 2021
2021
Make Small Data Great Again: Learning from Partially Annotated Data via Policy Gradient for Multi-Label Classification Tasks
Z Jia, J Li, S Zhang, A Liu, Z Zheng
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