中国科学院计算技术研究所机构知识库

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	Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data 期刊论文 IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 6, 页码: 789-800 作者:  He, Yuting;  Chen, Yiqiang;  Yang, XiaoDong;  Yu, Hanchao;  Huang, Yi-Hua;  Gu, Yang 收藏  |  浏览/下载：1/0  |  提交时间：2024/12/06 Data models  Training  Servers  Collaborative work  Adaptation models  Convergence  Feature extraction  Federated learning  knowledge distillation  non-identically distributed  deep learning  catastrophic forgetting
	Automated segmentation of normal and diseased coronary arteries-The ASOCA challenge 期刊论文 COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2022, 卷号: 97, 页码: 8 作者:  Gharleghi, Ramtin;  Adikari, Dona;  Ellenberger, Katy;  Ooi, Sze-Yuan;  Ellis, Chris;  Chen, Chung-Ming;  Gao, Ruochen;  He, Yuting;  Hussain, Raabid;  Lee, Chia-Yen;  Li, Jun;  Ma, Jun;  Nie, Ziwei;  Oliveira, Bruno;  Qi, Yaolei;  Skandarani, Youssef;  Vilaca, Joao L.;  Wang, Xiyue;  Yang, Sen;  Sowmya, Arcot;  Beier, Susann 收藏  |  浏览/下载：33/0  |  提交时间：2022/12/07 Coronary arteries  Image segmentation  Machine learning
	A Clinical-Radiomic Model for Predicting Indocyanine Green Retention Rate at 15 Min in Patients With Hepatocellular Carcinoma 期刊论文 FRONTIERS IN SURGERY, 2022, 卷号: 9, 页码: 9 作者:  Wu, Ji;  Xie, Feng;  Ji, Hao;  Zhang, Yiyang;  Luo, Yi;  Xia, Lei;  Lu, Tianfei;  He, Kang;  Sha, Meng;  Zheng, Zhigang;  Yong, Junekong;  Li, Xinming;  Zhao, Di;  Yang, Yuting;  Xia, Qiang;  Xue, Feng 收藏  |  浏览/下载：27/0  |  提交时间：2022/12/07 indocyanine green retention rate at 15 min  radiomics  machine learning  post hepatectomy liver failure  hepatocellular carcinoma