| Radiomics and deep learning in nasopharyngeal carcinoma: a review Z Wang, M Fang, J Zhang, L Tang, L Zhong, H Li, R Cao, X Zhao, S Liu, ... IEEE Reviews in Biomedical Engineering 17, 118-135, 2023 | 21 | 2023 |
| A multi-view co-training network for semi-supervised medical image-based prognostic prediction H Li, S Wang, B Liu, M Fang, R Cao, B He, S Liu, C Hu, D Dong, X Wang, ... Neural Networks 164, 455-463, 2023 | 12 | 2023 |
| Deep learning‐based radiomics model can predict extranodal soft tissue metastasis in gastric cancer S Liu, J Deng, D Dong, M Fang, Z Ye, Y Hu, H Li, L Zhong, R Cao, X Zhao, ... Medical Physics 51 (1), 267-277, 2024 | 8 | 2024 |
| Multi-task residual cross-attention network for tumor segmentation and lymph node metastasis prediction in cervical cancer S Liu, M Fang, D Dong, W Shang, J Tian 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 2 | 2023 |
| ContraSurv: enhancing prognostic assessment of medical images via data-efficient weakly supervised contrastive learning H Li, D Dong, M Fang, B He, S Liu, C Hu, Z Liu, H Wang, L Tang, J Tian IEEE Journal of Biomedical and Health Informatics, 2024 | 1 | 2024 |
| Training-free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation S Liu, B Wang, Y Ma, T Yang, X Cao, Q Chen, H Li, D Dong, P Jiang arXiv preprint arXiv:2405.06948, 2024 | 1 | 2024 |
| Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion S Liu, Z Chen, Q Yang, W Yu, D Dong, J Hu, Y Yuan ICRA 2025, 2025 | | 2025 |
| Radiomics and Multiomics Research D Dong, S Liu, Z Liu, W Mu, S Wang, L Shao, B Li, J Wei, Y Jiang, X Wan, ... Artificial Intelligence in Medical Imaging in China, 63-81, 2024 | | 2024 |
Di DongInstitute of Automation, Chinese Academy of Sciencesia.ac.cn의 이메일 확인됨