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Xiaofan Zhang
Xiaofan Zhang
Associate Professor at Shanghai Jiao Tong University
Dirección de correo verificada de sjtu.edu.cn
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Citado por
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Heterogeneous memory enhanced multimodal attention model for video question answering
C Fan, X Zhang, S Zhang, W Wang, C Zhang, H Huang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
2982019
Towards large-scale histopathological image analysis: Hashing-based image retrieval
X Zhang, W Liu, M Dundar, S Badve, S Zhang
IEEE Transactions on Medical Imaging 34 (2), 496-506, 2014
2632014
Embedding label structures for fine-grained feature representation
X Zhang, F Zhou, Y Lin, S Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
2412016
Large-scale retrieval for medical image analytics: A comprehensive review
Z Li, X Zhang, H Müller, S Zhang
Medical image analysis 43, 66-84, 2018
2272018
High-throughput histopathological image analysis via robust cell segmentation and hashing
X Zhang, F Xing, H Su, L Yang, S Zhang
Medical image analysis 26 (1), 306-315, 2015
1002015
Fusing heterogeneous features from stacked sparse autoencoder for histopathological image analysis
X Zhang, H Dou, T Ju, J Xu, S Zhang
IEEE journal of biomedical and health informatics 20 (5), 1377-1383, 2015
882015
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
X Luo, W Liao, J Xiao, J Chen, T Song, X Zhang, K Li, DN Metaxas, ...
arXiv preprint arXiv:2111.02403, 2021
842021
Fine-grained histopathological image analysis via robust segmentation and large-scale retrieval
X Zhang, H Su, L Yang, S Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2015
672015
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system
Q Da, X Huang, Z Li, Y Zuo, C Zhang, J Liu, W Chen, J Li, D Xu, Z Hu, H Yi, ...
Medical Image Analysis 80, 102485, 2022
462022
Scalable mammogram retrieval using anchor graph hashing
J Liu, S Zhang, W Liu, X Zhang, DN Metaxas
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 898-901, 2014
392014
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
372023
Kiut: Knowledge-injected u-transformer for radiology report generation
Z Huang, X Zhang, S Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
372023
Mining histopathological images via composite hashing and online learning
X Zhang, L Yang, W Liu, H Su, S Zhang
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
342014
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
332022
Mining histopathological images via hashing-based scalable image retrieval
X Zhang, W Liu, S Zhang
2014 IEEE 11th international symposium on biomedical imaging (ISBI), 1111-1114, 2014
282014
Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images
F Gao, M Hu, ME Zhong, S Feng, X Tian, X Meng, Z Huang, M Lv, T Song, ...
Medical Image Analysis 80, 102515, 2022
222022
Weighted hashing with multiple cues for cell-level analysis of histopathological images
X Zhang, H Su, L Yang, S Zhang
International Conference on Information Processing in Medical Imaging, 303-314, 2015
152015
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
132023
Fusing heterogeneous features for the image-guided diagnosis of intraductal breast lesions
X Zhang, H Dou, T Ju, S Zhang
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1288-1291, 2015
82015
Alleviating exposure bias via multi-level contrastive learning and deviation simulation in abstractive summarization
J Xie, Q Su, S Zhang, X Zhang
Findings of the Association for Computational Linguistics: ACL 2023, 9732-9747, 2023
62023
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