Deep speckle correlation: a deep learning approach toward scalable imaging through scattering media (original) (raw)

Object classification through scattering media with deep learning on time resolved measurement

Otkrist Gupta

Optics Express

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DeepLSR: a deep learning approach for laser speckle reduction

Faisal Mahmood

Biomedical Optics Express, 2019

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Deep-learned speckle pattern and its application to ghost imaging

Wenhan Ren

arXiv (Cornell University), 2021

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Deep learning in macroscopic diffuse optical imaging

Denzel Faulkner

Journal of Biomedical Optics, 2022

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Deep scattering

Simon Kallweit

ACM Transactions on Graphics, 2017

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3D Scattering Tomography by Deep Learning with Architecture Tailored to Cloud Fields

Vadim Holodovsky

ArXiv, 2020

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Non-invasive super-resolution imaging through scattering media using fluctuating speckles

Sujit kumar Sahoo

2021

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DEEP$^2$: Deep Learning Powered De-scattering with Excitation Patterning

Mithunjha Anandakumar

Cornell University - arXiv, 2022

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Deep learning in computational microscopy

george nehmetallah

2019

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A Learnable Scatternet: Locally Invariant Convolutional Layers

Fergal Cotter

2019 IEEE International Conference on Image Processing (ICIP), 2019

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Non-invasive super-resolution imaging through dynamic scattering media

Sujit kumar Sahoo

Nature Communications, 2021

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Depth-resolved speckle-correlations imaging through scattering layers via coherence gating

Ofer Salhov

Optics Letters, 2018

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Learning-based super interpolation and extrapolation for speckled image reconstruction

Huanhao Li

arXiv: Image and Video Processing, 2020

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ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media

Werner Ritter

2021

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A unified deep network for beamforming and speckle reduction in plane wave imaging: A simulation study

Etai Mor

Ultrasonics, 2020

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Noninvasive optical imaging by speckle ensemble

Joseph Rosen

Optics Letters, 2004

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Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms

Utkarsh Patel

2020

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Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering

MAYANK ROY

IEEE Transactions on Computational Imaging, 2022

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Convolutional neural network applied for nanoparticle classification using coherent scatterometry data

Silvania Pereira

Applied Optics, 2020

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Tutorial on the Use of Deep Learning in Diffuse Optical Tomography

Ben Wiesel

Electronics

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Imaging moving targets through scattering media

Michelle Cua

Optics Express, 2017

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Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE)

Ajinkya Pandit

Nature Communications

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NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function

Darshan Agrawal

ArXiv, 2021

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Monte Carlo-based data generation for efficient deep learning reconstruction of macroscopic diffuse optical tomography and topography applications

Navid Nizam

Journal of Biomedical Optics

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Large field of view imaging through scattering media with spatial information demultiplexing

Sujit kumar Sahoo

2017

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Noninvasive optical tomographic imaging by speckle ensemble

Joseph Rosen

2005

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A deep neural network for fast and accurate scatter estimation in quantitative SPECT/CT under challenging scatter conditions

Haowei Xiang

European Journal of Nuclear Medicine and Molecular Imaging, 2020

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Noninvasive optical tomographic imaging by speckle ensemble

Joseph Rosen

Optical Information Systems III, 2005

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Towards reconstruction of embedded objects with multiple speckle images for medical diagnostics

Joseph Rosen

(CLEO). Conference on Lasers and Electro-Optics, 2005., 2005

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Multiple-Scattering Suppression by Cross Correlation

William V. Meyer

Applied Optics, 1997

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Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography

Duchang Heo

2017

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Imaging Dynamics Beneath Turbid Media via Parallelized Single‐Photon Detection

Edouard Berrocal

Advanced Science

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DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering

Arye Nehorai

IEEE Transactions on Antennas and Propagation, 2018

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Compressive Non-Line-of-Sight Imaging with Deep Learning

Shenyu Zhu

Physical Review Applied

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GANPOP: Generative Adversarial Network Prediction of Optical Properties From Single Snapshot Wide-Field Images

Faisal Mahmood

IEEE Transactions on Medical Imaging, 2019

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