中国科学院计算技术研究所机构知识库

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	Measurement-device-independent quantum random number generation over 23 Mbps with imperfect single-photon sources 期刊论文 Quantum Science and Technology, 2024, 卷号: 9, 期号: 2 作者:  Nie,You-Qi;  Zhou,Hongyi;  Bai,Bing;  Xu,Qi;  Ma,Xiongfeng;  Zhang,Jun;  Pan,Jian-Wei 收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20 quantum cryptography  quantum random number generation  measurement-device-independent  measurement tomography
	Self-supervised noise modeling and sparsity guided electron tomography volumetric image denoising 期刊论文 ULTRAMICROSCOPY, 2024, 卷号: 255, 页码: 11 作者:  Yang, Zhidong;  Zang, Dawei;  Li, Hongjia;  Zhang, Zhao;  Zhang, Fa;  Han, Renmin 收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20 Electron tomography  Image denoising  Self-supervised learning
	Two-step hierarchical neural network for classification of dry age-related macular degeneration using optical coherence tomography images 期刊论文 FRONTIERS IN MEDICINE, 2023, 卷号: 10, 页码: 12 作者:  Hu, Min;  Wu, Bin;  Lu, Di;  Xie, Jing;  Chen, Yiqiang;  Yang, Zhikuan;  Dai, Weiwei 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 optical coherence tomography (OCT)  age-related macular degeneration (AMD)  nascent geographic atrophy (nGA)  convolutional neural network (CNN)  deep learning
	Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix 期刊论文 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 5, 页码: 1546-1562 作者:  Qiao, Pengchong;  Li, Han;  Song, Guoli;  Han, Hu;  Gao, Zhiqiang;  Tian, Yonghong;  Liang, Yongsheng;  Li, Xi;  Zhou, S. Kevin;  Chen, Jie 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Lesions  Image segmentation  Computed tomography  Uncertainty  Training  Predictive models  Data models  Semi-supervised learning  lesion segmentation  unreliable pseudo labels
	AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 10, 页码: 6695-6714 作者:  Ma, Jun;  Zhang, Yao;  Gu, Song;  Zhu, Cheng;  Ge, Cheng;  Zhang, Yichi;  An, Xingle;  Wang, Congcong;  Wang, Qiyuan;  Liu, Xin;  Cao, Shucheng;  Zhang, Qi;  Liu, Shangqing;  Wang, Yunpeng;  Li, Yuhui;  He, Jian;  Yang, Xiaoping 收藏  |  浏览/下载：28/0  |  提交时间：2022/12/07 Benchmark testing  Liver  Image segmentation  Biological systems  Pancreas  Computed tomography  Kidney  Multi-organ segmentation  generalization  semi-supervised learning  weakly supervised learning  continual learning
	Decoupled pyramid correlation network for liver tumor segmentation from CT images 期刊论文 MEDICAL PHYSICS, 2022, 页码: 15 作者:  Zhang, Yao;  Yang, Jiawei;  Liu, Yang;  Tian, Jiang;  Wang, Siyun;  Zhong, Cheng;  Shi, Zhongchao;  Zhang, Yang;  He, Zhiqiang 收藏  |  浏览/下载：23/0  |  提交时间：2022/12/07 attention mechanism  computed tomography  liver segmentation  liver tumor segmentation
	Macromolecules Structural Classification With a 3D Dilated Dense Network in Cryo-Electron Tomography 期刊论文 IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2022, 卷号: 19, 期号: 1, 页码: 209-219 作者:  Gao, Shan;  Han, Renmin;  Zeng, Xiangrui;  Liu, Zhiyong;  Xu, Min;  Zhang, Fa 收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07 Cryo-electron tomography  image classification  convolution neural network
	DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography 期刊论文 MEDICAL IMAGE ANALYSIS, 2022, 卷号: 75, 页码: 10 作者:  Zhou, Bo;  Chen, Xiongchao;  Zhou, S. Kevin;  Duncan, James S.;  Liu, Chi 收藏  |  浏览/下载：24/0  |  提交时间：2022/06/21 Sparse view  Metal artifact  Computed tomography  Recurrent network  Dual-domain network  Data consistency
	A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises 期刊论文 PROCEEDINGS OF THE IEEE, 2021, 卷号: 109, 期号: 5, 页码: 820-838 作者:  Zhou, S. Kevin;  Greenspan, Hayit;  Davatzikos, Christos;  Duncan, James S.;  Van Ginneken, Bram;  Madabhushi, Anant;  Prince, Jerry L.;  Rueckert, Daniel;  Summers, Ronald M. 收藏  |  浏览/下载：34/0  |  提交时间：2021/12/01 Imaging  Medical diagnostic imaging  Image segmentation  Diseases  Task analysis  Medical services  Computed tomography  Deep learning (DL)  medical imaging  survey
	The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge 期刊论文 MEDICAL IMAGE ANALYSIS, 2021, 卷号: 67, 页码: 16 作者:  Heller, Nicholas;  Isensee, Fabian;  Maier-Hein, Klaus H.;  Hou, Xiaoshuai;  Xie, Chunmei;  Li, Fengyi;  Nan, Yang;  Mu, Guangrui;  Lin, Zhiyong;  Han, Miofei;  Yao, Guang;  Gao, Yaozong;  Zhang, Yao;  Wang, Yixin;  Hou, Feng;  Yang, Jiawei;  Xiong, Guangwei;  Tian, Jiang;  Zhong, Cheng;  Ma, Jun;  Rickman, Jack;  Dean, Joshua;  Stai, Bethany;  Tejpaul, Resha;  Oestreich, Makinna;  Blake, Paul;  Kaluzniak, Heather;  Raza, Shaneabbas;  Rosenberg, Joel;  Moore, Keenan;  Walczak, Edward;  Rengel, Zachary;  Edgerton, Zach;  Vasdev, Ranveer;  Peterson, Matthew;  McSweeney, Sean;  Peterson, Sarah;  Kalapara, Arveen;  Sathianathen, Niranjan;  Papanikolopoulos, Nikolaos;  Weight, Christopher 收藏  |  浏览/下载：38/0  |  提交时间：2021/12/01 Semantic segmentation  Computed tomography  Kidney tumor