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FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis
期刊论文
NEUROCOMPUTING, 2023, 卷号: 559, 页码: 13
作者:
Zhang, Chang
;
Meng, Xiangzhu
;
Liu, Qiang
;
Wu, Shu
;
Wang, Liang
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/11/16
Functional magnetic resonance image
Brain network
Federated learning
Deep neural networks
Brain disease diagnosis
Review on the Application of Hyperspectral Imaging Technology of the Exposed Cortex in Cerebral Surgery
期刊论文
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2022, 卷号: 10
作者:
Wu, Yue
;
Xu, Zhongyuan
;
Yang, Wenjian
;
Ning, Zhiqiang
;
Dong, Hao
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/12/23
hyperspectral imaging
biomedical
cerebral disease
brain tissue metabolic and hemodynamic
brain cancer diagnosis
Characterization of microbiome and metabolite analyses in patients with metabolic associated fatty liver disease and type II diabetes mellitus
期刊论文
BMC MICROBIOLOGY, 2022, 卷号: 22
作者:
Yang, Qiuping
;
Zhang, Leisheng
;
Li, Qian
;
Gu, Man
;
Qu, Qiu
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/05/16
Metabolic associated fatty liver disease (MAFLD)
Type II diabetes mellitus (T2DM)
Gut microbiota
Metabolome
Clinical diagnosis
Circle-Seq reveals genomic and disease-specific hallmarks in urinary cell-free extrachromosomal circular DNAs
期刊论文
CLINICAL AND TRANSLATIONAL MEDICINE, 2022, 卷号: 12
作者:
Lv, Wei
;
Pan, Xiaoguang
;
Han, Peng
;
Wang, Ziyu
;
Feng, Weijia
收藏
  |  
浏览/下载:283/0
  |  
提交时间:2022/12/23
cell-free DNA
chronic kidney disease
early diagnosis
extrachromosomal circular DNA
miRNA
next generation sequencing
noninvasive biomarkers
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on Multi-Scale Dense Classification Network
期刊论文
FRONTIERS IN PLANT SCIENCE, 2021, 卷号: 12, 页码: 12
作者:
Tian, Yunong
;
Li, En
;
Liang, Zize
;
Tan, Min
;
He, Xiongkui
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2021/12/28
apple disease diagnosis
Cycle-GAN
Multi-scale connection
DenseNet
deep learning
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on MultiScale Dense Classification Network
期刊论文
Frontiers in Plant Science, 2021, 期号: 12, 页码: 1-12
作者:
Tian YN(田雨农)
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/01/07
apple disease diagnosis
Cycle-GAN
Multi-scale connection
DenseNet
deep learning
Hexagonal boron nitride quantum dots: Properties, preparation and applications
期刊论文
Materials Today Chemistry, 2021, 卷号: 20
作者:
Zhang, Xiaofang
;
An, Lulu
;
Bai, Changning
;
Chen, Li
;
Yu, Yuanlie
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/04/12
Biocompatibility
Boron nitride
Chemical detection
Chemical stability
Diagnosis
Fabrication
Fluorescence imaging
III-V semiconductors
Metal ions
Metals
Nanocrystals
Nitrides
Disease diagnosis
Fabrication method
Hexagonal boron nitride
Large-scale fabrication
Low cytotoxicities
Metal ion detection
Photoluminescence properties
Recent researches
Plant Disease Recognition: A Large-Scale Benchmark Dataset and a Visual Region and Loss Reweighting Approach
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 2003-2015
作者:
Liu, Xinda
;
Min, Weiqing
;
Mei, Shuhuan
;
Wang, Lili
;
Jiang, Shuqiang
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/12/01
Diseases
Agriculture
Plants (biology)
Visualization
Image recognition
Feature extraction
Medical diagnosis
Plant disease recognition
fine-grained visual classification
reweighting approach
feature aggregation
Paper Dynamic changes in vascular size and density in transgenic mice with Alzheimer's disease
期刊论文
AGING-US, 2020, 卷号: 12
作者:
Xu, Xiaowen
;
Meng, Tong
;
Wen, Qingqing
;
Tao, Mengling
;
Wang, Peijun
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/11/30
Alzheimer's disease
hippocampus
magnetic resonance imaging
vessel size imaging
early diagnosis
Generalizable, Reproducible, and Neuroscientifically Interpretable Imaging Biomarkers for Alzheimer's Disease
期刊论文
ADVANCED SCIENCE, 2020, 页码: 12
作者:
Jin, Dan
;
Zhou, Bo
;
Han, Ying
;
Ren, Jiaji
;
Han, Tong
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2020/07/20
Alzheimer's disease
computer-aided diagnosis
neurobiological basis
neuroscientifically interpretable biomarkers
structural magnetic resonance imaging
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