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Convergent Neuroimaging and Molecular Signatures in Mild Cognitive Impairment and Alzheimer's Disease: A Data-Driven Meta-Analysis with N=3,118 期刊论文
NEUROSCIENCE BULLETIN, 2024, 页码: 13
作者:  Kang, Xiaopeng;  Wang, Dawei;  Lin, Jiaji;  Yao, Hongxiang;  Zhao, Kun;  Song, Chengyuan;  Chen, Pindong;  Qu, Yida;  Yang, Hongwei;  Zhang, Zengqiang;  Zhou, Bo;  Han, Tong;  Liao, Zhengluan;  Chen, Yan;  Lu, Jie;  Yu, Chunshui;  Wang, Pan;  Zhang, Xinqing;  Li, Ming;  Zhang, Xi;  Jiang, Tianzi;  Zhou, Yuying;  Liu, Bing;  Han, Ying;  Liu, Yong
收藏  |  浏览/下载:6/0  |  提交时间:2024/07/22
Alzheimer's disease  Structural magnetic resonance imaging  Meta-analysis  Brain atrophy  Gene set enrichment analysis  
SceneFake: An initial dataset and benchmarks for scene fake audio detection 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 152, 页码: 12
作者:  Yi, Jiangyan;  Wang, Chenglong;  Tao, Jianhua;  Zhang, Chu Yuan;  Fan, Cunhang;  Tian, Zhengkun;  Ma, Haoxin;  Fu, Ruibo
收藏  |  浏览/下载:25/0  |  提交时间:2024/07/04
Scene manipulation  Fake audio detection  Speech enhancement  SceneFake dateset  
Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (dec, 10.1055/a-2161-9369, 2023) 期刊论文
ULTRASCHALL IN DER MEDIZIN, 2024, 页码: 1
作者:  Zhu, Yangyang;  Meng, Zheling;  Wu, Hao;  Fan, Xiao;  Lv, Wenhao;  Tian, Jie;  Wang, Kun;  Nie, Fang
收藏  |  浏览/下载:19/0  |  提交时间:2024/07/03
A Portable Robot-Assisted Device With Built-In Intelligence for Autonomous Ultrasound Acquisitions in Follow-Up Diagnosis 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2024, 卷号: 73, 页码: 1-10
作者:  Deng ZK(邓兆锟);  Hou XL(侯西龙);  Chen C(陈晨);  Gu XL(谷晓林);  Hou ZG(侯增广);  Wang SY(王双翌)
Adobe PDF(6984Kb)  |  收藏  |  浏览/下载:42/17  |  提交时间:2024/06/25
Robots  Ultrasonic imaging  Probes  Robot sensing systems  Robot kinematics  Force  Safety  Autonomous US acquisition  medical ultrasound (US)  reinforcement learning (RL)  US robotic device  
Cervical lymph node metastasis prediction from papillary thyroid carcinoma US videos: a prospective multicenter study 期刊论文
BMC MEDICINE, 2024, 卷号: 22, 期号: 1, 页码: 13
作者:  Zhang, Ming-Bo;  Meng, Zhe-Ling;  Mao, Yi;  Jiang, Xue;  Xu, Ning;  Xu, Qing-Hua;  Tian, Jie;  Luo, Yu-Kun;  Wang, Kun
收藏  |  浏览/下载:37/0  |  提交时间:2024/05/30
Thyroid cancer  Papillary  Lymphatic metastasis  Deep learning  Ultrasonography  
Breaking boundaries in radiology: redefining AI diagnostics via raw data ahead of reconstruction 期刊论文
Physics in Medicine & Biology, 2024, 卷号: 69, 期号: 7
作者:  He,Bingxi;  Sun,Caixia;  Li,Hailin;  Wang,Yongbo;  She,Yunlang;  Zhao,Mengmeng;  Fang,Mengjie;  Zhu,Yongbei;  Wang,Kun;  Liu,Zhenyu;  Wei,Ziqi;  Mu,Wei;  Wang,Shuo;  Tang,Zhenchao;  Wei,Jingwei;  Shao,Lizhi;  Tong,Lixia;  Huang,Feng;  Tang,Mingze;  Guo,Yu;  Zhang,Huimao;  Dong,Di;  Chen,Chang;  Ma,Jianhua;  Tian,Jie
收藏  |  浏览/下载:38/0  |  提交时间:2024/05/30
deep learning  sinogram  CT scans  lung cancer  raw data  
Deep convolutional neural network based on self-distillation for tool wear recognition 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 卷号: 132, 页码: 12
作者:  Pan, Yi;  Hao, Ling;  He, Jianliang;  Ding, Kun;  Yu, Qiang;  Wang, Yulin
收藏  |  浏览/下载:78/0  |  提交时间:2024/03/27
Tool fault diagnosis  Mobile inspection robots  Self-distillation  Industry 4.0  Deep learning  
Target Controllability of Multiplex Networks With Weighted Interlayer Edges 期刊论文
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2024, 卷号: 11, 期号: 1, 页码: 313-325
作者:  Ding, Jie;  Zhang, Yaozhong;  Song, Kun;  Li, Guoqi;  Wang, Wei;  Liu, Kexin
收藏  |  浏览/下载:58/0  |  提交时间:2024/03/26
Multiplex networks  weighted networks  target controllability  minimum cost max flow  
Novel methods for locating and matching IC cells based on standard cell libraries 期刊论文
MICROELECTRONIC ENGINEERING, 2024, 卷号: 283, 页码: 12
作者:  Liu, Can;  Wang, Kaige;  Li, Qing;  Zhao, Fazhan;  Zhao, Kun;  Ma, Hongtu
收藏  |  浏览/下载:93/0  |  提交时间:2024/02/22
Reverse engineering  Integrated circuits  Scanning electron microscopy  Image processing  Hardware security  
Powerful-IoU: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism 期刊论文
NEURAL NETWORKS, 2024, 卷号: 170, 页码: 276-284
作者:  Liu, Can;  Wang, Kaige;  Li, Qing;  Zhao, Fazhan;  Zhao, Kun;  Ma, Hongtu
收藏  |  浏览/下载:106/0  |  提交时间:2024/02/22
Object detection  Bounding box regression  Loss function design  Focusing mechanism