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科研机构
自动化研究所 [48]
内容类型
期刊论文 [44]
会议论文 [2]
学位论文 [2]
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2024 [1]
2023 [4]
2022 [8]
2021 [4]
2020 [9]
2019 [5]
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专题:自动化研究所
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Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review
期刊论文
BRAIN RESEARCH, 2024, 卷号: 1823, 页码: 13
作者:
Chen, Pindong
;
Zhang, Shirui
;
Zhao, Kun
;
Kang, Xiaopeng
;
Rittman, Timothy
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/02/22
Neurodegenerative diseases
Alzheimer's disease
Heterogeneity
Subtype
Data-driven
A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model
期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 23, 页码: 29283-29292
作者:
Tong, Lina
;
Liu, Dai-Song
;
Peng, Liang
;
Hao, Hong-Lin
;
Wang, Chen
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/21
Bradykinesia grade
inertial sensors
Parkinson's disease (PD)
temporal convolutional network (TCN)
wearable device
A Graded Assessment System for Parkinson's Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model
期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 23, 页码: 29283-29292
作者:
Tong, Lina
;
Liu, Dai-Song
;
Peng, Liang
;
Hao, Hong-Lin
;
Wang, Chen
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/05/30
Bradykinesia grade
inertial sensors
Parkinson's disease (PD)
temporal convolutional network (TCN)
wearable device
Alterations of dynamic and static brain functional activities and integration in stroke patients
期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 9
作者:
Guo, Li
;
Zhao, Zixuan
;
Yang, Xu
;
Shi, Weiyang
;
Wang, Peng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/12/21
stroke
dynamic amplitude of low-frequency fluctuation
static amplitude of low-frequency fluctuation
dynamic degree centrality
static degree centrality
Multi-scale deformable transformer for multi-contrast knee MRI super-resolution
期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 卷号: 79, 页码: 11
作者:
Zou, Beiji
;
Ji, Zexin
;
Zhu, Chengzhang
;
Dai, Yulan
;
Zhang, Wensheng
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/11/14
Magnetic resonance imaging
Multi-contrast reconstruction
Super-resolution
Transformer
Convolutional neural network
Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer : A multicenter study
期刊论文
BREAST, 2022, 卷号: 66, 页码: 183-190
作者:
Li, Bao
;
Li, Fengling
;
Liu, Zhenyu
;
Xu, FangPing
;
Ye, Guolin
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/12/27
Breast cancer
Neoadjuvant chemotherapy
Pathological complete response
Whole-slide image
Deep learning
Drivable Space of Rehabilitation Robot for Physical Human-Robot Interaction: Definition and an Expanding Method
期刊论文
IEEE TRANSACTIONS ON ROBOTICS, 2022, 页码: 14
作者:
Wang, Weiqun
;
Liang, Xu
;
Liu, Shengda
;
Lin, Tianyu
;
Zhang, Pu
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/11/14
Assistive robots
Torque
Robot kinematics
Training
Exoskeletons
Biological system modeling
Adaptation models
Adaptive learning
dynamics modeling
physical human-robot interaction (pHRI)
rehabilitation robot
Deep learning signatures reveal multiscale intratumor heterogeneity associated with biological functions and survival in recurrent nasopharyngeal carcinoma
期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 11
作者:
Zhao, Xun
;
Liang, Yu-Jing
;
Zhang, Xu
;
Wen, Dong-Xiang
;
Fan, Wei
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2022/06/10
Recurrent nasopharyngeal carcinoma
Survival analysis
Radiomics
Deep learning
Preoperative Prediction of Malignant Transformation of Sinonasal Inverted Papilloma Using MR Radiomics
期刊论文
FRONTIERS IN ONCOLOGY, 2022, 卷号: 12, 页码: 10
作者:
Yan, Yang
;
Liu, Yujia
;
Tao, Jianhua
;
Li, Zheng
;
Qu, Xiaoxia
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/06/10
inverted papilloma (IP)
squamous cell carcinoma
sinonasal cancer
radiomics
magnetic resonance imaging
Structure-aware siamese graph neural networks for encounter-level patient similarity learning
期刊论文
JOURNAL OF BIOMEDICAL INFORMATICS, 2022, 卷号: 127, 页码: 13
作者:
Gu, Yifan
;
Yang, Xuebing
;
Tian, Lei
;
Yang, Hongyu
;
Lv, Jicheng
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/06/10
Encounter-Level Patient Similarity
Representation Learning
Siamese Networks
Graph Neural Networks
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