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数学科学研究所 [11]
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姜嘉骅 [11]
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Simultaneous reconstruction of 3D fluorescence distribution and object surface using structured light illumination and dual-camera detection
期刊论文
OPTICS EXPRESS, 2024, 卷号: 32, 期号: 9, 页码: 15760-15773
作者:
Hu, Yexing
;
Wu, Yanan
;
Li, Linlin
;
Zhu, Xinyi
;
Gu, Liangtao
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2024/04/07
Cameras
Data acquisition
Image reconstruction
Object detection
3d fluorescences
Biological tissues
Dual cameras
Dynamic imaging
Fluorescence molecular tomography
Light illumination
Object surface
Simultaneous reconstruction
Structured Light
Volumetrics
High-resolution tomographic reconstruction of optical absorbance through scattering media using neural fields
预印本
2023
作者:
Ren, Wuwei
;
Shen, Siyuan
;
Li, Linlin
;
Gao, Shengyu
;
Wang, Yuehan
Adobe PDF(2130Kb)
  |  
收藏
  |  
浏览/下载:73/0
  |  
提交时间:2024/01/09
Neural field
Diffuse optical tomography
Light scattering
Adaptive meshing
Image reconstruction
Learn an Index Operator by CNN for Solving Diffusive Optical Tomography: A Deep Direct Sampling Method
期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2023, 卷号: 95, 期号: 1
作者:
Guo, Ruchi
;
Jiang, Jiahua
;
Li, Yi
Adobe PDF(3817Kb)
  |  
收藏
  |  
浏览/下载:310/57
  |  
提交时间:2023/04/03
Deep learning
Inverse problems
Direct sampling methods
Diffusive optical tomography
Reconstruction algorithm
Fast, accurate and robust sparse-view CT reconstruction via residual-guided Golub-Kahan iterative reconstruction technique (RGIRT)
预印本
2023
作者:
Zhang, Jianru
;
Wang, Zhe
;
Cao, Tuoyu
;
Cao, Guohua
;
Ren, Wuwei
Adobe PDF(1242Kb)
  |  
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2024/01/09
Sparse-view CT
image reconstruction
inverse problem
Golub-Kahan process
ℓ
1
regularization
A Self-Supervised Learning Approach for High-Resolution Diffuse Optical Tomography Using Neural Fields
会议论文
PROCEEDINGS OF SPIE - THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, Shanghai, China, June 8, 2023 - June 10, 2023
作者:
Li, Linlin
;
Shen, Siyuan
;
Gao, Shengyu
;
Wang, Yuehan
;
Gu, Liangtao
Adobe PDF(441Kb)
  |  
收藏
  |  
浏览/下载:82/0
  |  
提交时间:2023/10/13
Brain mapping
Inverse problems
Light absorption
Light scattering
Optical properties
Optical tomography
Supervised learning
Adaptive meshing
Biomedical research
Brain imaging
Breast cancer diagnostics
Diagnostic imaging
Diffuse optical tomography
High resolution
Images reconstruction
Neural fields
Supervised learning approaches
Multifunctional optical tomography system combining surface extraction and 3D fluorescence reconstruction
会议论文
PROCEEDINGS OF SPIE - THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, Shanghai, China, June 8, 2023 - June 10, 2023
作者:
Wu, Yanan
;
Gao, Shengyu
;
Li, Linlin
;
Zhang, Jianru
;
Hu, Qian
Adobe PDF(1623Kb)
  |  
收藏
  |  
浏览/下载:70/0
  |  
提交时间:2023/10/13
Computerized tomography
Extraction
Fluorescence
Inverse problems
Light scattering
Mammals
Medical applications
Optical tomography
3d fluorescences
Diffuse optical
Fluorescence molecular tomography
Images reconstruction
Macroscopic levels
Optical imaging
Small animal imaging
Structured Light
Surface extraction
Tomography system
Conjugate gradient persymmetric adaptive matched filter
期刊论文
DIGITAL SIGNAL PROCESSING, 2022, 卷号: 123
作者:
Lin, Jie
;
Jiang, Chaoshu
;
Jiang, Jiahua
;
Kang, Jiawen
Adobe PDF(2154Kb)
  |  
收藏
  |  
浏览/下载:160/0
  |  
提交时间:2022/01/28
Adaptive filtering
Adaptive filters
Covariance matrix
Matched filters
Signal interference
Signal to noise ratio
Vectors
Adaptive matched filters
Conjugate gradient algorithms
Covariance matrices
Krylov subspace
Matched filter detectors
Output signal
Output signal-to-interference-and-noise ratio
Persymmetric
Persymmetric adaptive matched filter
Signal-to-interference-and-noise-ratios
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference
预印本
2021
作者:
Qian, Elizabeth
;
Tabeart, Jemima M.
;
Beattie, Christopher
;
Gugercin, Serkan
;
Jiang, Jiahua
Adobe PDF(1055Kb)
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2024/01/09
Bayesian inference
Balanced truncation
Model reduction
Low-CP-rank Tensor Completion via Practical Regularization
预印本
2021
作者:
Jiang, Jiahua
;
Sanogo, Fatoumata
;
Navasca, Carmeliza
Adobe PDF(1831Kb)
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2024/01/09
tensor
tensor completion
model order reduction
regularization
hybrid projection methods
CONSTRUCT DEEP NEURAL NETWORKS BASED ON DIRECT SAMPLING METHODS FOR SOLVING ELECTRICAL IMPEDANCE TOMOGRAPHY
期刊论文
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2021, 卷号: 43, 期号: 3, 页码: B678-B711
作者:
Guo, Ruchi
Adobe PDF(12371Kb)
  |  
收藏
  |  
浏览/下载:511/201
  |  
提交时间:2021/08/20
deep learning
inverse problems
direct sampling methods
electrical impedance tomography
reconstruction algorithm
limited boundary data
Convolutional neural networks
Electric impedance
Electric impedance measurement
Electric impedance tomography
Inverse problems
Boundary measurements
Computational costs
Direct sampling method
Electrical impedance tomography
Fully connected neural network
High quality reconstruction
Inhomogeneous inclusions
Numerical experiments