Yuanjie Zheng

According to our database1, Yuanjie Zheng authored at least 156 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Deep Learning for Logo Detection: A Survey.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024

TransMatch: A Transformer-Based Multilevel Dual-Stream Feature Matching Network for Unsupervised Deformable Image Registration.
IEEE Trans. Medical Imaging, January, 2024

Cross-View Representation Learning: A Superior ContextIB Method for Logo Classification.
IEEE Signal Process. Lett., 2024

Semi-supervised breast cancer pathology image segmentation based on fine-grained classification guidance.
Medical Biol. Eng. Comput., 2024

2023
Image Matting With Deep Gaussian Process.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Using optimal transport theory to optimize a deep convolutional neural network microscopic cell counting method.
Medical Biol. Eng. Comput., November, 2023

Multiscale attention network for retinal vein occlusion classification with multicolor image.
Int. J. Imaging Syst. Technol., November, 2023

A Holistically-Guided Decoder for Deep Representation Learning With Applications to Semantic Segmentation and Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Wavelet transform and edge loss-based three-stage segmentation model for retinal vessel.
Biomed. Signal Process. Control., September, 2023

TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency.
Neurocomputing, August, 2023

Few-shot logo detection.
IET Comput. Vis., August, 2023

Predicting EGFR gene mutation status in lung adenocarcinoma based on multifeature fusion.
Biomed. Signal Process. Control., July, 2023

AMNet: Adaptive multi-level network for deformable registration of 3D brain MR images.
Medical Image Anal., April, 2023

Driver Drowsiness EEG Detection Based on Tree Federated Learning and Interpretable Network.
Int. J. Neural Syst., March, 2023

MINet: Multi-scale input network for fundus microvascular segmentation.
Comput. Biol. Medicine, March, 2023

Interactive local and global feature coupling for EEG-based epileptic seizure detection.
Biomed. Signal Process. Control., March, 2023

Long-Range Dependence Involutional Network for Logo Detection.
Entropy, January, 2023

Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation.
Medical Image Anal., 2023

Multi-rater label fusion based on an information bottleneck for fundus image segmentation.
Biomed. Signal Process. Control., 2023

Instance-Aware Diffusion Model for Gland Segmentation in Colon Histology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

LSTN: A Linear Model of Industrial Production Process for Demand Response.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

A Cross-direction Task Decoupling Network for Small Logo Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
LogoDet-3K: A Large-scale Image Dataset for Logo Detection.
ACM Trans. Multim. Comput. Commun. Appl., 2022

An Attention Based Bidirectional LSTM Method to Predict the Binding of TCR and Epitope.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Multi-feature deep information bottleneck network for breast cancer classification in contrast enhanced spectral mammography.
Pattern Recognit., 2022

SymReg-GAN: Symmetric Image Registration With Generative Adversarial Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A fast and efficient green apple object detection model based on Foveabox.
J. King Saud Univ. Comput. Inf. Sci., 2022

Self-adapting spiking neural P systems with refractory period and propagation delay.
Inf. Sci., 2022

Automatic Seizure Identification from EEG Signals Based on Brain Connectivity Learning.
Int. J. Neural Syst., 2022

Decoding Color Visual Working Memory from EEG Signals Using Graph Convolutional Neural Networks.
Int. J. Neural Syst., 2022

A semi-supervised learning framework for micropapillary adenocarcinoma detection.
Int. J. Comput. Assist. Radiol. Surg., 2022

Development of Intelligent Integrated Energy System Based on MVC.
Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

2021
Solving Jigsaw Puzzles via Nonconvex Quadratic Programming With the Projected Power Method.
IEEE Trans. Multim., 2021

SDOF-GAN: Symmetric Dense Optical Flow Estimation With Generative Adversarial Networks.
IEEE Trans. Image Process., 2021

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation.
IEEE Trans. Cybern., 2021

Graph Attention Network with Focal Loss for Seizure Detection on Electroencephalography Signals.
Int. J. Neural Syst., 2021

Multi-Dimensional Enhanced Seizure Prediction Framework Based on Graph Convolutional Network.
Frontiers Neuroinformatics, 2021

An adaptive representation algorithm for Multi-scale logo detection.
Displays, 2021

ASRNet: Adversarial Segmentation and Registration Networks for Multispectral Fundus Images.
Comput. Syst. Sci. Eng., 2021

EEG-Based Seizure detection using linear graph convolution network with focal loss.
Comput. Methods Programs Biomed., 2021

Deep multispectral image registration network.
Comput. Medical Imaging Graph., 2021

A novel green apple segmentation algorithm based on ensemble U-Net under complex orchard environment.
Comput. Electron. Agric., 2021

Multiview multimodal network for breast cancer diagnosis in contrast-enhanced spectral mammography images.
Int. J. Comput. Assist. Radiol. Surg., 2021

Polar representation-based cell nucleus segmentation in non-small cell lung cancer histopathological images.
Biomed. Signal Process. Control., 2021

Cross-View Representation Learning for Multi-View Logo Classification with Information Bottleneck.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Prostate Cancer Detection Using Image-Based Features in Dynamic Contrast Enhanced MRI.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Synthesis of Contrast-Enhanced Spectral Mammograms from Low-Energy Mammograms Using cGAN-Based Synthesis Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Exploiting Probabilistic Siamese Visual Tracking with a Conditional Variational Autoencoder.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Segmenting Diabetic Retinopathy Lesions in Multispectral Images Using Low-Dimensional Spatial-Spectral Matrix Representation.
IEEE J. Biomed. Health Informatics, 2020

Deep-Learning-Based Small Surface Defect Detection via an Exaggerated Local Variation-Based Generative Adversarial Network.
IEEE Trans. Ind. Informatics, 2020

Controllability of k-Valued Fuzzy Cognitive Maps.
IEEE Trans. Fuzzy Syst., 2020

Time-free cell-like P systems with multiple promoters/inhibitors.
Theor. Comput. Sci., 2020

Even faster retinal vessel segmentation via accelerated singular value decomposition.
Neural Comput. Appl., 2020

Multimodality registration for ocular multispectral images via co-embedding.
Neural Comput. Appl., 2020

Algebraic dynamics of <i>k</i>-valued fuzzy cognitive maps and its stabilization.
Knowl. Based Syst., 2020

A novel forecasting model for the long-term fluctuation of time series based on polar fuzzy information granules.
Inf. Sci., 2020

MMCL-Net: Spinal disease diagnosis in global mode using progressive multi-task joint learning.
Neurocomputing, 2020

Revealing False Positive Features in Epileptic EEG Identification.
Int. J. Neural Syst., 2020

A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection.
CoRR, 2020

Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning.
CoRR, 2020

Detection and segmentation of overlapped fruits based on optimized mask R-CNN application in apple harvesting robot.
Comput. Electron. Agric., 2020

A CTR prediction model based on user interest via attention mechanism.
Appl. Intell., 2020

Posting Techniques in Indoor Environments Based on Deep Learning for Intelligent Building Lighting System.
IEEE Access, 2020

Multi-organ Segmentation via Co-training Weight-Averaged Models from Few-Organ Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Study on Tuberculosis Classification in Chest X-ray Using Deep Residual Attention Networks<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Automated recognition and discrimination of human-animal interactions using Fisher vector and hidden Markov model.
Signal Image Video Process., 2019

Ocular multi-spectral imaging deblurring via regularization of mutual information.
Pattern Recognit. Lett., 2019

A novel optimized GA-Elman neural network algorithm.
Neural Comput. Appl., 2019

A reliable method for colorectal cancer prediction based on feature selection and support vector machine.
Medical Biol. Eng. Comput., 2019

Whale optimized mixed kernel function of support vector machine for colorectal cancer diagnosis.
J. Biomed. Informatics, 2019

Sign prediction and community detection in directed signed networks based on random walk theory.
Int. J. Embed. Syst., 2019

Detecting sparse rating spammer for accurate ranking of online recommendation.
Int. J. Comput. Sci. Eng., 2019

Long-term prediction of time series based on stepwise linear division algorithm and time-variant zonary fuzzy information granules.
Int. J. Approx. Reason., 2019

Efficient clustering approach for adaptive unsupervised colour image segmentation.
IET Image Process., 2019

A novel reconstructed training-set SVM with roulette cooperative coevolution for financial time series classification.
Expert Syst. Appl., 2019

A Reliable Small Sample Classification Algorithm by Elman Neural Network Based on PLS and GA.
J. Classif., 2019

MAMDA: Inferring microRNA-Disease associations with manifold alignment.
Comput. Biol. Medicine, 2019

Original intensity preserved inhomogeneity correction and segmentation for liver magnetic resonance imaging.
Biomed. Signal Process. Control., 2019

An evolving recurrent interval type-2 intuitionistic fuzzy neural network for online learning and time series prediction.
Appl. Soft Comput., 2019

Joint Fine-Grained Components Continuously Enhance Chinese Word Embeddings.
IEEE Access, 2019

Fast Recognition and Location of Target Fruit Based on Depth Information.
IEEE Access, 2019

GPredicates: GPU Implementation of Robust and Adaptive Floating-Point Predicates for Computational Geometry.
IEEE Access, 2019

MA-Shape: Modality Adaptation Shape Regression for Left Ventricle Segmentation on Mixed MR and CT Images.
IEEE Access, 2019

Face Identification With Top-Push Constrained Generalized Low-Rank Approximation of Matrices.
IEEE Access, 2019

Deep Group-Wise Registration for Multi-Spectral Images From Fundus Images.
IEEE Access, 2019

Prediction of Epitope-Associated TCR by Using Network Topological Similarity Based on Deepwalk.
IEEE Access, 2019

Classification of Motor Imagery Electrocorticogram Signals for Brain-Computer Interface<sup>*</sup>.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

DGR-Net: Deep Groupwise Registration of Multispectral Images.
Proceedings of the Information Processing in Medical Imaging, 2019

Using Long Short- Term Memory Network for Recognizing Motor Imagery Tasks.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

2018
Multiscale Rotation-Invariant Convolutional Neural Networks for Lung Texture Classification.
IEEE J. Biomed. Health Informatics, 2018

Liver MRI segmentation with edge-preserved intensity inhomogeneity correction.
Signal Image Video Process., 2018

Classifying advertising video by topicalizing high-level semantic concepts.
Multim. Tools Appl., 2018

Deblurring sequential ocular images from multi-spectral imaging (MSI) via mutual information.
Medical Biol. Eng. Comput., 2018

Graph cut based automatic aorta segmentation with an adaptive smoothness constraint in 3D abdominal CT images.
Neurocomputing, 2018

Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer.
IET Comput. Vis., 2018

Deep indicator for fine-grained classification of banana's ripening stages.
EURASIP J. Image Video Process., 2018

Co-evolution of cooperation and limited resources on interdependent networks.
Appl. Math. Comput., 2018

Drusen Segmentation From Retinal Images via Supervised Feature Learning.
IEEE Access, 2018

A Generative Model for OCT Retinal Layer Segmentation by Groupwise Curve Alignment.
IEEE Access, 2018

Deep Random Walk for Drusen Segmentation from Fundus Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Propagation Based Image Matting.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Scalable Mammogram Retrieval Using Composite Anchor Graph Hashing With Iterative Quantization.
IEEE Trans. Circuits Syst. Video Technol., 2017

Multi-layer multi-view topic model for classifying advertising video.
Pattern Recognit., 2017

Dynamic network model with continuous valued nodes for longitudinal brain morphometry.
NeuroImage, 2017

Guest Editorial: Special issue on advances in computing techniques for big medical image data.
Neurocomputing, 2017

Corrigendum to "Hierarchical retinal blood vessel segmentation based on feature and ensemble learning" [Neurocomputing 149 (2015) 708-717].
Neurocomputing, 2017

Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks.
Neurocomputing, 2017

Deep Hierarchical Representation from Classifying Logo-405.
Complex., 2017

Chaotic evolution of prisoner's dilemma game with volunteering on interdependent networks.
Commun. Nonlinear Sci. Numer. Simul., 2017

Retinal Image Denoising via Bilateral Filter with a Spatial Kernel of Optimally Oriented Line Spread Function.
Comput. Math. Methods Medicine, 2017

A Selective Ensemble Classification Method Combining Mammography Images with Ultrasound Images for Breast Cancer Diagnosis.
Comput. Math. Methods Medicine, 2017

Learning Deep Match Kernels for Image-Set Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Mammographic Mass Segmentation with Online Learned Shape and Appearance Priors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Automatic segmentation of canine retinal OCT using adaptive gradient enhancement and region growing.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2015
Hierarchical retinal blood vessel segmentation based on feature and ensemble learning.
Neurocomputing, 2015

Measuring sparse temporal-variation for accurate registration of dynamic contrast-enhanced breast MR images.
Comput. Medical Imaging Graph., 2015

2014
Solving a Special Type of Jigsaw Puzzles: Banknote Reconstruction From a Large Number of Fragments.
IEEE Trans. Multim., 2014

Landmark matching based retinal image alignment by enforcing sparsity in correspondence matrix.
Medical Image Anal., 2014

Cirrhosis Classification Based on Texture Classification of Random Features.
Comput. Math. Methods Medicine, 2014

Advanced Medical Image Analysis.
Comput. Math. Methods Medicine, 2014

Correlation between Topological Descriptors of the Breast Ductal Network from Clinical Galactograms and Texture Features of Corresponding Mammograms.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

2013
Single-Image Vignetting Correction from Gradient Distribution Symmetries.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

A Generative Model for OCT Retinal Layer Segmentation by Integrating Graph-Based Multi-surface Searching and Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Optic Disc and Cup Segmentation from Color Fundus Photograph Using Graph Cut with Priors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A fully-automated software pipeline for integrating breast density and parenchymal texture analysis for digital mammograms: parameter optimization in a case-control breast cancer risk assessment study.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Texture feature standardization in digital mammography for improving generalizability across devices.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

An automated drusen detection system for classifying age-related macular degeneration with color fundus photographs.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
A Phantom Study for Assessing the Effect of Different Digital Detectors on Mammographic Texture Features.
Proceedings of the Breast Imaging, 2012

A model-based method with joint sparsity constraint for direct diffusion tensor estimation.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Retrospective illumination correction of retinal fundus images from gradient distribution sparsity.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Brain Parcellation Aids in Electrode Localization in Epileptic Patients.
Proceedings of the Augmented Environments for Computer-Assisted Interventions, 2011

Adaptive Multi-cluster Fuzzy C-Means Segmentation of Breast Parenchymal Tissue in Digital Mammography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Multiscale analysis revisited: Detection of drusen and vessel in digital retinal images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Landmark Matching Based Automatic Retinal Image Registration with Linear Programming and Self-similarities.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
N4ITK: Improved N3 Bias Correction.
IEEE Trans. Medical Imaging, 2010

Sparse Unbiased Analysis of Anatomical Variance in Longitudinal Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Accurate registration of dynamic contrast-enhanced breast MR images with robust estimation and linear programming.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Estimation of image bias field with sparsity constraints.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Single-Image Vignetting Correction.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Automatic Correction of Intensity Nonuniformity from Sparseness of Gradient Distribution in Medical Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Learning based digital matting.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Single-image optical center estimation from vignetting and tangential gradient symmetry.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Accurate estimation of pulmonary nodule's growth rate in CT images with nonrigid registration and precise nodule detection and segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008
Estimation of Ground-Glass Opacity Measurement in CT Lung Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Single-image vignetting correction using radial gradient symmetry.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

FuzzyMatte: A computationally efficient scheme for interactive matting.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Step: Spatial-Temporal Enhancement Pattern, for Mr-Based Breast Tumor Diagnosis.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Single-Image Vignetting Correction.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
A Novel Unsupervised Segmentation Method for MR Brain Images Based on Fuzzy Methods.
Proceedings of the Computer Vision for Biomedical Image Applications, 2005

2004
Unsupervised Image Segmentation with Fuzzy Connectedness.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Unsupervised Segmentation on Image with JSEG Using Soft Class Map.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004


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