| 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 | 310 | 2019 |
| 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 | 265 | 2014 |
| 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 | 245 | 2016 |
| 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 | 235 | 2018 |
| 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 | 102 | 2015 |
| 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 | 97 | 2021 |
| 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 | 89 | 2015 |
| 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 | 68 | 2015 |
| 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 | 54 | 2022 |
| 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 | 53 | 2023 |
| 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 | 48 | 2023 |
| 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 | 39 | 2014 |
| 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 | 34 | 2022 |
| 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 | 34 | 2014 |
| 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 | 30 | 2014 |
| 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 | 24 | 2022 |
| 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 | 15 | 2023 |
| 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 | 15 | 2015 |
| Large-scale gastric cancer screening and localization using multi-task deep neural network H Yu, X Zhang, L Song, L Jiang, X Huang, W Chen, C Zhang, J Li, J Yang, ... Neurocomputing 448, 290-300, 2021 | 12 | 2021 |
| 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 | 8 | 2023 |
