| LLVIP: A Visible-infrared Paired Dataset for Low-light Vision X Jia, C Zhu, M Li, W Tang, W Zhou ICCV 2021, data: https://bupt-ai-cz.github.io/LLVIP, 2021 | 456 | 2021 |
| Instance adaptive self-training for unsupervised domain adaptation K Mei, C Zhu, J Zou, S Zhang ECCV 2020, code: https://github.com/Raykoooo/IAST, 2020 | 357 | 2020 |
| LLCNN: A convolutional neural network for low-light image enhancement L Tao, C Zhu, G Xiang, Y Li, H Jia, X Xie 2017 VCIP,1-4, code: https://github.com/BestJuly/LLCNN, 2017 | 256 | 2017 |
| Breast cancer histopathology image classification through assembling multiple compact CNNs C Zhu, F Song, Y Wang, H Dong, Y Guo, J Liu BMC,19 (1), 1-17, code: https://github.com/WendyDong/BreastCancerCNN, 2019 | 186 | 2019 |
| BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix S Liu, C Zhu, F Xu, X Jia, Z Shi, M Jin CVPR 2022, code and data: https://github.com/bupt-ai-cz/BCI, 2022 | 99 | 2022 |
| Hard Sample Aware Noise Robust Learning for Histopathology Image Classification C Zhu, W Chen, T Peng, Y Wang, M Jin IEEE TMI, code and data: https://github.com/bupt-ai-cz/HSA-NRL, 2021 | 94 | 2021 |
| Low-light image enhancement using CNN and bright channel prior L Tao, C Zhu, J Song, T Lu, H Jia, X Xie 2017 ICIP, https://github.com/bupt-ai-cz, 3215-3219, 2017 | 88 | 2017 |
| 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, challenge: https://digestpath2019.grand-challenge …, 2022 | 66 | 2022 |
| Breast cancer histology image classification based on deep neural networks Y Guo, H Dong, F Song, C Zhu, J Liu ICIAR, code: https://github.com/WendyDong/BreastCancerCNN, 827-836, 2018 | 58 | 2018 |
| Thyroid nodule ultrasound image classification through hybrid feature cropping network R Song, L Zhang, C Zhu, J Liu, J Yang, T Zhang IEEE Access, code: https://github.com/bupt-ai-cz/Thyroid-Nodule-Ultrasound …, 2020 | 57 | 2020 |
| A Deep Learning-Based Approach for Glomeruli Instance Segmentation from Multistained Renal Biopsy Pathologic Images L Jiang, W Chen, B Dong, K Mei, C Zhu, J Liu, M Cai, Y Yan, G Wang, ... The American Journal of Pathology, code: https://github.com/bupt-ai-cz …, 2021 | 55 | 2021 |
| Hard-sample Guided Hybrid Contrast Learning for Unsupervised Person Re-Identification Z Hu, C Zhu, G He arXiv preprint arXiv:2109.12333, code: https://github.com/bupt-ai-cz/HHCL, 2021 | 47 | 2021 |
| Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides F Xu, C Zhu, W Tang, Y Wang, Y Zhang, J Li, H Jiang, Z Shi, J Liu, M Jin medRxiv, code: https://github.com/bupt-ai-cz/BALNMP, 2021 | 47 | 2021 |
| Ischemic Stroke Lesion Segmentation Using Multi-Plane Information Fusion L Zhang, R Song, Y Wang, C Zhu, J Liu, J Yang, L Liu IEEE Access 8 (https://github.com/bupt-ai-cz/MPFN), 45715-45725, 2020 | 38 | 2020 |
| Breast cancer image classification on WSI with spatial correlations J Ye, Y Luo, C Zhu, F Liu, Y Zhang ICASSP 2019, code: https://github.com/dong100136/Breast-Cancer-Image …, 2019 | 32 | 2019 |
| Fast algorithms and VLSI architecture design for HEVC intra-mode decision X Huang, H Jia, B Cai, C Zhu, J Liu, M Yang, D Xie, W Gao Journal of Real-Time Image Processing 12, 285-302, 2016 | 32 | 2016 |
| Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet C Zhu, K Mei, T Peng, Y Luo, J Liu, Y Wang, M Jin Neurocomputing, 438, 165-183, code: https://github.com/bupt-ai-cz/CAC-UNet …, 2021 | 24 | 2021 |
| Dual-branch network via pseudo-label training for thyroid nodule detection in ultrasound image R Song, C Zhu, L Zhang, T Zhang, Y Luo, J Liu, J Yang Applied Intelligence, code: https://github.com/songruoning …, 2022 | 20 | 2022 |
| RestNet: Boosting Cross-Domain Few-Shot Segmentation with Residual Transformation Network X Huang, C Zhu, W Chen arXiv preprint arXiv:2308.13469，code: https://github.com/bupt-ai-cz/RestNet, 2023 | 18 | 2023 |
| Deep learning model to classify and monitor idiopathic scoliosis in adolescents using a single smartphone photograph T Zhang, C Zhu, Y Zhao, M Zhao, Z Wang, R Song, N Meng, A Sial, ... JAMA Network Open 6 (8), e2330617-e2330617, 2023 | 18 | 2023 |
Xiaodong XiePeking UniversityZweryfikowany adres z pku.edu.cn
