| Deep learning radiomics of dual-modality ultrasound images for hierarchical diagnosis of unexplained cervical lymphadenopathy Y Zhu, Z Meng, X Fan, Y Duan, Y Jia, T Dong, Y Wang, J Song, J Tian, ... BMC medicine 20 (1), 269, 2022 | 23 | 2022 |
| Application and prospects of AI-based radiomics in ultrasound diagnosis H Zhang, Z Meng, J Ru, Y Meng, K Wang Visual Computing for Industry, Biomedicine, and Art 6 (1), 20, 2023 | 10 | 2023 |
| MSMFN: an ultrasound based multi-step modality fusion network for identifying the histologic subtypes of metastatic cervical lymphadenopathy Z Meng, Y Zhu, W Pang, J Tian, F Nie, K Wang IEEE Transactions on Medical Imaging 42 (4), 996-1008, 2022 | 9 | 2022 |
| CEUSegNet: A cross-modality lesion segmentation network for contrast-enhanced ultrasound Z Meng, Y Zhu, X Fan, J Tian, F Nie, K Wang 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 8 | 2022 |
| AI in spotting high-risk characteristics of medical imaging and molecular pathology C Zhang, J Gu, Y Zhu, Z Meng, T Tong, D Li, Z Liu, Y Du, K Wang, J Tian Precision Clinical Medicine 4 (4), 271-286, 2021 | 3 | 2021 |
| Latent Watermark: Inject and Detect Watermarks in Latent Diffusion Space Z Meng, B Peng, J Dong arXiv preprint arXiv:2404.00230, 2024 | 2 | 2024 |
| Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study Y Zhu, Z Meng, H Wu, X Fan, J Tian, K Wang, F Nie Ultraschall in der Medizin-European Journal of Ultrasound 45 (03), 305-315, 2024 | 1 | 2024 |
| Cervical lymph node metastasis prediction from papillary thyroid carcinoma US videos: a prospective multicenter study MB Zhang, ZL Meng, Y Mao, X Jiang, N Xu, QH Xu, J Tian, YK Luo, ... BMC medicine 22 (1), 153, 2024 | 1 | 2024 |
| Artifact feature purification for cross-domain detection of AI-generated images Z Meng, B Peng, J Dong, T Tan, H Cheng Computer Vision and Image Understanding 247, 104078, 2024 | | 2024 |
| Dark Miner: Defend against unsafe generation for text-to-image diffusion models Z Meng, B Peng, X Jin, Y Jiang, J Dong, W Wang, T Tan arXiv preprint arXiv:2409.17682, 2024 | | 2024 |
| Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study Y Zhu, Z Meng, H Wu, X Fan, J Tian, K Wang, F Nie Ultraschall in der Medizin-European Journal of Ultrasound 45 (03), e2-e2, 2024 | | 2024 |
Kun WangCAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences在 ia.ac.cn 的电子邮件经过验证
