Yang Chen

Orcid: 0000-0002-5660-6349

Affiliations:
  • Southeast University, Laboratory of Image Science and Technology, Nanjing, China
  • Southern Medical University, School of Biomedical Engineering, Guangzhou, China (former)
  • First Military Medical University, China (PhD 2007)


According to our database1, Yang Chen authored at least 147 papers between 2006 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, April, 2024

RED-Net: Residual and Enhanced Discriminative Network for Image Steganalysis in the Internet of Medical Things and Telemedicine.
IEEE J. Biomed. Health Informatics, March, 2024

Real-time endoscopy haze removal: a synthetical method.
Multim. Tools Appl., March, 2024

Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Multi-task Contexture Learning Network for automated vertebrae segmentation and tumor diagnosis from MRI.
Comput. Electr. Eng., January, 2024

Cas-PRED: A Limited-Angle Cone Beam CT Reconstruction Research Based on Prior Information.
IEEE Trans. Instrum. Meas., 2024

2023
Unsharp Structure Guided Filtering for Self-Supervised Low-Dose CT Imaging.
IEEE Trans. Medical Imaging, November, 2023

DSANet: Dual-Branch Shape-Aware Network for Echocardiography Segmentation in Apical Views.
IEEE J. Biomed. Health Informatics, October, 2023

Adaptive Frequency Learning Network With Anti-Aliasing Complex Convolutions for Colon Diseases Subtypes.
IEEE J. Biomed. Health Informatics, October, 2023

Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning.
IEEE Trans. Medical Imaging, September, 2023

TAGNet: A transformer-based axial guided network for bile duct segmentation.
Biomed. Signal Process. Control., September, 2023

Multi-Task Learning for Pulmonary Arterial Hypertension Prognosis Prediction via Memory Drift and Prior Prompt Learning on 3D Chest CT.
IEEE J. Biomed. Health Informatics, April, 2023

O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation.
Knowl. Based Syst., April, 2023

Centerline-supervision multi-task learning network for coronary angiography segmentation.
Biomed. Signal Process. Control., April, 2023

Improving anisotropy resolution of computed tomography and annotation using 3D super-resolution network.
Biomed. Signal Process. Control., April, 2023

DREAM-Net: Deep Residual Error Iterative Minimization Network for Sparse-View CT Reconstruction.
IEEE J. Biomed. Health Informatics, 2023

PIE-ARNet: Prior Image Enhanced Artifact Removal Network for Limited-Angle DECT.
IEEE Trans. Instrum. Meas., 2023

SPIE-DIR: Self-Prior Information Enhanced Deep Iterative Reconstruction Using Two Complementary Limited-Angle Scans for DECT.
IEEE Trans. Instrum. Meas., 2023

Deep Dual-Domain United Guiding Learning With Global-Local Transformer-Convolution U-Net for LDCT Reconstruction.
IEEE Trans. Instrum. Meas., 2023

Deep Embedding-Attention-Refinement for Sparse-View CT Reconstruction.
IEEE Trans. Instrum. Meas., 2023

A Geometrical Calibration Method for C-Arm CT Based on a Nonlinear Registration Model.
IEEE Trans. Instrum. Meas., 2023

A Deep-Learning-Based Method for Correction of Bone-Induced CT Beam-Hardening Artifacts.
IEEE Trans. Instrum. Meas., 2023

SEA-Net: Structure-Enhanced Attention Network for Limited-Angle CBCT Reconstruction of Clinical Projection Data.
IEEE Trans. Instrum. Meas., 2023

3DSRNet: 3-D Spine Reconstruction Network Using 2-D Orthogonal X-Ray Images Based on Deep Learning.
IEEE Trans. Instrum. Meas., 2023

SPEAR-Net: Self-Prior Enhanced Artifact Removal Network for Limited-Angle DECT.
IEEE Trans. Instrum. Meas., 2023

TIME-Net: Transformer-Integrated Multi-Encoder Network for limited-angle artifact removal in dual-energy CBCT.
Medical Image Anal., 2023

Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training.
CoRR, 2023

CT-Net: Cascaded T-shape network using spectral redundancy for dual-energy CT limited-angle reconstruction.
Biomed. Signal Process. Control., 2023

Spinal Lesions Classification and Localization with ACAT-Net from X-ray Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Specific-Modal Spatial Guidance and Feature Enhancement for Multi-modal Brain Tumor Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

SpMVNet: Spatial Multi-view Network for Head and Neck Organs at Risk Segmentation.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
DIOR: Deep Iterative Optimization-Based Residual-Learning for Limited-Angle CT Reconstruction.
IEEE Trans. Medical Imaging, 2022

Masked Joint Bilateral Filtering via Deep Image Prior for Digital X-Ray Image Denoising.
IEEE J. Biomed. Health Informatics, 2022

Automatic Video Analysis Framework for Exposure Region Recognition in X-Ray Imaging Automation.
IEEE J. Biomed. Health Informatics, 2022

MVSGAN: Spatial-Aware Multi-View CMR Fusion for Accurate 3D Left Ventricular Myocardium Segmentation.
IEEE J. Biomed. Health Informatics, 2022

PRIOR: Prior-Regularized Iterative Optimization Reconstruction For 4D CBCT.
IEEE J. Biomed. Health Informatics, 2022

Online Hard Patch Mining Using Shape Models and Bandit Algorithm for Multi-Organ Segmentation.
IEEE J. Biomed. Health Informatics, 2022

TRANS-Net: Transformer-Enhanced Residual-Error AlterNative Suppression Network for MRI Reconstruction.
IEEE Trans. Instrum. Meas., 2022

Projection network with Spatio-temporal information: 2D + time DSA to 2D aorta segmentation.
Multim. Tools Appl., 2022

BKC-Net: Bi-Knowledge Contrastive Learning for renal tumor diagnosis on 3D CT images.
Knowl. Based Syst., 2022

RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification.
Knowl. Based Syst., 2022

X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images.
Knowl. Based Syst., 2022

ISP-Net: Fusing features to predict ischemic stroke infarct core on CT perfusion maps.
Comput. Methods Programs Biomed., 2022

MRCON-Net: Multiscale reweighted convolutional coding neural network for low-dose CT imaging.
Comput. Methods Programs Biomed., 2022

Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network.
Int. J. Comput. Assist. Radiol. Surg., 2022

Deformable transformer for endoscopic video super-resolution.
Biomed. Signal Process. Control., 2022

CCE-Net: A rib fracture diagnosis network based on contralateral, contextual, and edge enhanced modules.
Biomed. Signal Process. Control., 2022

DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
CLEAR: Comprehensive Learning Enabled Adversarial Reconstruction for Subtle Structure Enhanced Low-Dose CT Imaging.
IEEE Trans. Medical Imaging, 2021

MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2021

Homotopic Gradients of Generative Density Priors for MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2021

Automatic and Robust Object Detection in X-Ray Baggage Inspection Using Deep Convolutional Neural Networks.
IEEE Trans. Ind. Electron., 2021

CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction.
IEEE Trans. Computational Imaging, 2021

SPECIAL: Single-Shot Projection Error Correction Integrated Adversarial Learning for Limited-Angle CT.
IEEE Trans. Computational Imaging, 2021

ResNet-SCDA-50 for Breast Abnormality Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

ELNet: Automatic classification and segmentation for esophageal lesions using convolutional neural network.
Medical Image Anal., 2021

Marginal loss and exclusion loss for partially supervised multi-organ segmentation.
Medical Image Anal., 2021

Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network.
Medical Image Anal., 2021

Automatic Patient-Level Detection of Coronavirus Disease (COVID-19) Using Convolutional Neural Network from Lung CT Scans.
J. Medical Imaging Health Informatics, 2021

An automated ASPECTS method with atlas-based segmentation.
Comput. Methods Programs Biomed., 2021

Dissected aorta segmentation using convolutional neural networks.
Comput. Methods Programs Biomed., 2021

Unsupervised domain adaptation based on cluster matching and Fisher criterion for image classification.
Comput. Electr. Eng., 2021

An adaptive optimal viewing angle determination algorithm for TEVAR operation.
BMC Medical Imaging, 2021

Convolutional squeeze-and-excitation network for ECG arrhythmia detection.
Artif. Intell. Medicine, 2021

EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2021

Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence.
IEEE Trans. Medical Imaging, 2020

SISTER: Spectral-Image Similarity-Based Tensor With Enhanced-Sparsity Reconstruction for Sparse-View Multi-Energy CT.
IEEE Trans. Computational Imaging, 2020

Discriminative feature representation for Noisy image quality assessment.
Multim. Tools Appl., 2020

Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.
Medical Image Anal., 2020

Compressed sensing MR image reconstruction via a deep frequency-division network.
Neurocomputing, 2020

LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT.
CoRR, 2020

Temporally downsampled cerebral CT perfusion image restoration using deep residual learning.
Int. J. Comput. Assist. Radiol. Surg., 2020

Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images.
BMC Medical Imaging, 2020

Vessel Structure Extraction using Constrained Minimal Path Propagation.
Artif. Intell. Medicine, 2020

Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network.
Artif. Intell. Medicine, 2020

Obtaining Dual-Energy Computed Tomography (CT) Information from a Single-Energy CT Image forQuantitative Imaging Analysis of Living Subjects by Using Deep Learning.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Memory-Based Network for Scene Graph with Unbalanced Relations.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Multi-vertebrae Segmentation from Arbitrary Spine MR Images Under Global View.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Complementary Joint Model for Complex Scene Registration and Few-Shot Segmentation on Medical Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

Cascade ResUnet with Noise Power Spectrum Loss for Low Dose CT Imaging.
Proceedings of the 13th International Congress on Image and Signal Processing, 2020

One-Shot Learning for Long-Tail Visual Relation Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging.
IEEE Trans. Medical Imaging, 2019

Vessel segmentation using centerline constrained level set method.
Multim. Tools Appl., 2019

Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network.
Medical Image Anal., 2019

PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks.
Medical Image Anal., 2019

Structure-constrained discriminative dictionary learning based on Schatten <i>p</i>-norm for face recognition.
Digit. Signal Process., 2019

A resnet-based universal method for speckle reduction in optical coherence tomography images.
CoRR, 2019

Deep learning-based digital subtraction angiography image generation.
Int. J. Comput. Assist. Radiol. Surg., 2019

An Improved Real-Time Endovascular Guidewire Position Simulation Using Activity on Edge Network.
IEEE Access, 2019

Artifact Suppressed Nonlinear Diffusion Filtering for Low-Dose CT Image Processing.
IEEE Access, 2019

A Novel Chaos-Based Symmetric Image Encryption Using Bit-Pair Level Process.
IEEE Access, 2019

Graph-Regularized Discriminative Analysis-Synthesis Dictionary Pair Learning for Image Classification.
IEEE Access, 2019

DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Sparse Tensor Constrained for Low Dose CT Reconstruction.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Learning to Hash for Efficient Search Over Incomplete Knowledge Graphs.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

An Efficient 3D-NAS Method for Video-Based Gesture Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

4D-CBCT Reconstruction via Motion Compensataion Learning Induced Sparse Tensor Constraint.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018
Predicting CT Image From MRI Data Through Feature Matching With Learned Nonlinear Local Descriptors.
IEEE Trans. Medical Imaging, 2018

3D Feature Constrained Reconstruction for Low-Dose CT Imaging.
IEEE Trans. Circuits Syst. Video Technol., 2018

Structure-Adaptive Fuzzy Estimation for Random-Valued Impulse Noise Suppression.
IEEE Trans. Circuits Syst. Video Technol., 2018

PCANet: An energy perspective.
Neurocomputing, 2018

Medical Image Blind Integrity Verification with Krawtchouk Moments.
Int. J. Biomed. Imaging, 2018

Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network.
CoRR, 2018

Automatic brain tissue segmentation based on graph filter.
BMC Medical Imaging, 2018

A Hybrid Model for Image Denoising Combining Modified Isotropic Diffusion Model and Modified Perona-Malik Model.
IEEE Access, 2018

Phase-Constrained Parallel Magnetic Resonance Imaging Reconstruction Based on Low-Rank Matrix Completion.
IEEE Access, 2018

2017
Discriminative Feature Representation to Improve Projection Data Inconsistency for Low Dose CT Imaging.
IEEE Trans. Medical Imaging, 2017

Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network.
IEEE Trans. Medical Imaging, 2017

Sparse-view X-ray CT reconstruction with Gamma regularization.
Neurocomputing, 2017

Improving Low-Dose CT Image Using Residual Convolutional Network.
IEEE Access, 2017

Extended PCJO for the Detection-Localization of Hypersignals and Hyposignals in CT Images.
IEEE Access, 2017

Automatic Whole Heart Segmentation in CT Images Based on Multi-atlas Image Registration.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

MomentsNet: A simple learning-free method for binary image recognition.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Curve-Like Structure Extraction Using Minimal Path Propagation With Backtracking.
IEEE Trans. Image Process., 2016

Quantitative Analysis of Deformable Model-Based 3-D Reconstruction of Coronary Artery From Multiple Angiograms.
IEEE Trans. Biomed. Eng., 2016

Color image classification via quaternion principal component analysis network.
Neurocomputing, 2016

Blood vessel enhancement via multi-dictionary and sparse coding: Application to retinal vessel enhancing.
Neurocomputing, 2016

Low-dose CBCT reconstruction via 3D dictionary learning.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Retinal vessel enhancement using multi-dictionary and sparse coding.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Color Image Classification via Quaternion Principal Component Analysis Network.
CoRR, 2015

Optimized Parallelization for Nonlocal Means Based Low Dose CT Image Processing.
Comput. Math. Methods Medicine, 2015

Segmentation of liver tumor via nonlocal active contours.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Artifact Suppressed Dictionary Learning for Low-Dose CT Image Processing.
IEEE Trans. Medical Imaging, 2014

Fast Low-Dose CT Image Processing Using Improved Parallelized Nonlocal Means Filtering.
Proceedings of the 2014 International Conference on Medical Biometrics, Shenzhen, Guangdong, China, May 30, 2014

Automatic left ventricle segmentation based on multiatlas registration in 4D CT images.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Low-dose CT image processing using artifact suppressed dictionary learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Centerline constrained minimal path propagation for vessel extraction.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Automatic kidney segmentation in CT images based on multi-atlas image registration.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Coronary cine-angiography segmentation incorporating low-rank priori.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2013
Object-based 3D binary reconstruction from sparse projections in cone beam CT: Comparison of three projection operators.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

3-D Coronary Vessel Extraction Using a Novel Minimum Path Based Region Growing.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Improving abdomen tumor low-dose CT images using dictionary learning based patch processing and unsharp filtering.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Coronary vessel extraction method using an improved minimum path based region growing.
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

2011
Joint-MAP Tomographic Reconstruction with Patch Similarity Based Mixture Prior Model.
Multiscale Model. Simul., 2011

2010
Effective Image Restorations Using a Novel Spatial Adaptive Prior.
EURASIP J. Adv. Signal Process., 2010

2009
PET transmission tomography using a novel nonlocal MRF prior.
Comput. Medical Imaging Graph., 2009

Bayesian statistical reconstruction for low-dose X-ray computed tomography using an adaptive-weighting nonlocal prior.
Comput. Medical Imaging Graph., 2009

2008
Nonlocal Prior Bayesian Tomographic Reconstruction.
J. Math. Imaging Vis., 2008

2007
Joint Bayesian PET Reconstruction Algorithm Using a Quadratic Hybrid Multi-order Prior.
Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2007

A Novel Nonlocal QuadraticMRF Prior Model for Positron Emission Tomography.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Bayesian Reconstruction Using a New Nonlocal MRF Prior for Count-Limited PET Transmission Scans.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007

A Novel Way of Incorporating Large-Scale Knowledge into MRF Prior Model.
Proceedings of the Artificial Intelligence in Medicine, 2007

2006
Convergent Bayesian Reconstruction for PET Using New MRF Quadratic Membrane-Plate Hybrid Multi-order Prior.
Proceedings of the Medical Imaging and Augmented Reality, 2006


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