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Object reconstitution using pseudo-inverse for ghost imaging

Optics express, 2014-12, Vol.22 (24), p.30063-30073

2014

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Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs

Artificial intelligence in medicine, 2017-11, Vol.83, p.58-66

2017

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High-performance flexible organic thin-film transistor nonvolatile memory based on molecular floating-gate and pn-heterojunction channel layer

Applied physics letters, 2020-01, Vol.116 (2)

2020

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Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets

Journal of digital imaging, 2022-02, Vol.35 (1), p.47-55

2022

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Reconstruction for Sparse Signal Based on Bidirectional Sparsity Adaptive and Weak Selection of Atoms Matching Pursuit

Circuits, systems, and signal processing, 2021-10, Vol.40 (10), p.4850-4876

2021

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Enhanced Terahertz Phase Retrieval Imaging by Unequal Spaced Measurement

Sensors (Basel, Switzerland), 2022-05, Vol.22 (10), p.3816

2022

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Organic transistor nonvolatile memory with an integrated molecular floating-gate/tunneling layer

Applied physics letters, 2018-12, Vol.113 (24)

2018

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Distance Regularized Two Level Sets for Segmentation of Left and Right Ventricles from Cine-MRI

Magnetic resonance imaging, 2016-06, Vol.34 (5), p.699-706

2016

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Automated measurement of hip–knee–ankle angle on the unilateral lower limb X-rays using deep learning

Physical and engineering sciences in medicine, 2021-03, Vol.44 (1), p.53-62

2021

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Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism

BMC medical imaging, 2021-11, Vol.21 (1), p.168-168, Article 168

2021

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Enhancing image quality of ghost imaging by fuzzy c-means clustering method

AIP advances, 2019-07, Vol.9 (7), p.075006-075006-8

2019

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Automatic Pancreas Segmentation Using Double Adversarial Networks With Pyramidal Pooling Module

IEEE access, 2021, Vol.9, p.140965-140974

2021

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Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks

Journal of digital imaging, 2018-10, Vol.31 (5), p.748-760

2018

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Dual-Chirp Photonics-Based Radar for Distance and Velocity Measurement Based on Compressive Sensing

IEEE photonics journal, 2022-08, Vol.14 (4), p.1-7

2022

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Colorectal Tumor Segmentation of CT Scans Based on a Convolutional Neural Network With an Attention Mechanism

IEEE access, 2020, Vol.8, p.64131-64138

2020

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A Method for Generating True Random Numbers with Multiple Distribution Characteristics

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Scalar-matrix-structured ghost imaging

Photonics research (Washington, DC), 2016-12, Vol.4 (6), p.281-285

2016

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Point Cloud Classification Model Based on a Dual-Input Deep Network Framework

IEEE access, 2020, Vol.8, p.55991-55999

2020

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Experimental Investigation of Iterative Pseudoinverse Ghost Imaging

IEEE photonics journal, 2018-06, Vol.10 (3), p.1-8

2018

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An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration

Sensors (Basel, Switzerland), 2017-01, Vol.17 (1), p.169-169

2017

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Ghost Imaging by a Proportional Parameter to Filter Bucket Data

Applied sciences, 2021-01, Vol.11 (1), p.227

2021

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Object Reconstruction Using the Binomial Theorem for Ghost Imaging

IEEE photonics journal, 2018-12, Vol.10 (6), p.1-13

2018

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Locally Linear Embedding-Based Motion Estimation From Truncated Projections for Computed Tomography

IEEE access, 2017-01, Vol.5, p.11155-11165

2017

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High-Dynamic-Range Photodetecting Scheme Based on PEPT With a Large Output Swing

IEEE transactions on electron devices, 2012-05, Vol.59 (5), p.1423-1429

2012

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Organic Transistor Nonvolatile Memory with Three-Level Information Storage and Optical Detection Functions

ACS applied materials & interfaces, 2020-05, Vol.12 (19), p.21952-21960

2020

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Object reconstitution using pseudo-inverse for ghost imaging

Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs

High-performance flexible organic thin-film transistor nonvolatile memory based on molecular floating-gate and pn-heterojunction channel layer

Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets

Reconstruction for Sparse Signal Based on Bidirectional Sparsity Adaptive and Weak Selection of Atoms Matching Pursuit

Enhanced Terahertz Phase Retrieval Imaging by Unequal Spaced Measurement

Organic transistor nonvolatile memory with an integrated molecular floating-gate/tunneling layer

Distance Regularized Two Level Sets for Segmentation of Left and Right Ventricles from Cine-MRI

Automated measurement of hip–knee–ankle angle on the unilateral lower limb X-rays using deep learning

Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism

Enhancing image quality of ghost imaging by fuzzy c-means clustering method

Automatic Pancreas Segmentation Using Double Adversarial Networks With Pyramidal Pooling Module

Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks

Dual-Chirp Photonics-Based Radar for Distance and Velocity Measurement Based on Compressive Sensing

Colorectal Tumor Segmentation of CT Scans Based on a Convolutional Neural Network With an Attention Mechanism

A Method for Generating True Random Numbers with Multiple Distribution Characteristics

Scalar-matrix-structured ghost imaging

Point Cloud Classification Model Based on a Dual-Input Deep Network Framework

Experimental Investigation of Iterative Pseudoinverse Ghost Imaging

An Improved High-Sensitivity Airborne Transient Electromagnetic Sensor for Deep Penetration

Ghost Imaging by a Proportional Parameter to Filter Bucket Data

Object Reconstruction Using the Binomial Theorem for Ghost Imaging

Locally Linear Embedding-Based Motion Estimation From Truncated Projections for Computed Tomography

High-Dynamic-Range Photodetecting Scheme Based on PEPT With a Large Output Swing

Organic Transistor Nonvolatile Memory with Three-Level Information Storage and Optical Detection Functions

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