Guanyu Yang

Orcid: 0000-0003-3704-1722

According to our database1, Guanyu Yang authored at least 106 papers between 2006 and 2025.

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Bibliography

2025
Open-Pose 3D zero-shot learning: Benchmark and challenges.
Neural Networks, 2025

Beyond strong labels: Weakly-supervised learning based on Gaussian pseudo labels for the segmentation of ellipse-like vascular structures in non-contrast CTs.
Medical Image Anal., 2025

2024
Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning.
Neural Comput., May, 2024

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

STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation.
IEEE J. Biomed. Health Informatics, February, 2024

CSLNSpeech: Solving the extended speech separation problem with the help of Chinese sign language.
Speech Commun., 2024

Covariance-based Space Regularization for Few-shot Class Incremental Learning.
CoRR, 2024

DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification.
CoRR, 2024

A systematic 3-D magnetic particle imaging simulation model for quantitative analysis of reconstruction image quality.
Comput. Methods Programs Biomed., 2024

DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Post-structured Analysis of Chinese Thyroid Ultrasound Report Based on Natural Language Processing Technology and TI-RADS Mode.
Proceedings of the 2024 8th International Conference on Medical and Health Informatics, 2024

Fedsoda: Federated Cross-Assessment and Dynamic Aggregation for Histopathology Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Energy-Induced Explicit Quantification for Multi-modality MRI Fusion.
Proceedings of the Computer Vision - ECCV 2024, 2024

Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Neighborhood contrastive representation learning for attributed graph clustering.
Neurocomputing, December, 2023

A transformer-based dual-domain network for reconstructing FOV extended cone-beam CT images from truncated sinograms in radiation therapy.
Comput. Methods Programs Biomed., November, 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

Self-supervised speech denoising using only noisy audio signals.
Speech Commun., April, 2023

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

Rebalanced Zero-Shot Learning.
IEEE Trans. Image Process., 2023

Diff-OP3D: Bridging 2D Diffusion for Open Pose 3D Zero-Shot Classification.
CoRR, 2023

Partial Vessels Annotation-Based Coronary Artery Segmentation with Self-training and Prototype Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generalized W-Net: Arbitrary-Style Chinese Character Synthesization.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023

2022
Learning generalized metrics in zero-shot classification.
PhD thesis, 2022

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

Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.
IEEE J. Biomed. Health Informatics, 2022

Identifying a Leading Predictor of Arctic Stratospheric Ozone for April Precipitation in Eastern North America.
Remote. Sens., 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

Convolutional modulation theory: A bridge between convolutional neural networks and signal modulation theory.
Neurocomputing, 2022

Dual Contrastive Attributed Graph Clustering Network.
CoRR, 2022

FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Contrastive Re-localization and History Distillation in Federated CMR Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

SAPJNet: Sequence-Adaptive Prototype-Joint Network for Small Sample Multi-sequence MRI Diagnosis.
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

Iterative Seeded Region Growing for Brain Tissue Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Temporal Cross-Graph Network for Brain Functional Activity Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.
IEEE J. Biomed. Health Informatics, 2021

Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen Segmentation Using Centerline Constraint.
IEEE Trans. Image Process., 2021

Patient-Level Prediction of Multi-Classification Task at Prostate MRI Based on End-to-End Framework Learning From Diagnostic Logic of Radiologists.
IEEE Trans. Biomed. Eng., 2021

Meta grayscale adaptive network for 3D integrated renal structures segmentation.
Medical Image Anal., 2021

Coarse-grained generalized zero-shot learning with efficient self-focus mechanism.
Neurocomputing, 2021

Fractional Wavelet-Based Generative Scattering Networks.
Frontiers Neurorobotics, 2021

Speech Denoising Using Only Single Noisy Audio Samples.
CoRR, 2021

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

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

Unsupervised Contrastive Learning of Radiomics and Deep Features for Label-Efficient Tumor Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

CPNet: Cycle Prototype Network for Weakly-Supervised 3D Renal Compartments Segmentation on CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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
HIFUNet: Multi-Class Segmentation of Uterine Regions From MR Images Using Global Convolutional Networks for HIFU Surgery Planning.
IEEE Trans. Medical Imaging, 2020

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

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

Image splicing localization using residual image and residual-based fully convolutional network.
J. Vis. Commun. Image Represent., 2020

Generative networks as inverse problems with fractional wavelet scattering networks.
CoRR, 2020

SLNSpeech: solving extended speech separation problem by the help of sign language.
CoRR, 2020

Fast and accurate segmentation method of active shape model with Rayleigh mixture model clustering for prostate ultrasound images.
Comput. Methods Programs Biomed., 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

Inductive Generalized Zero-Shot Learning with Adversarial Relation Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

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

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

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.
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

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.
CoRR, 2019

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

A Novel Chaos-Based Symmetric Image Encryption Using Bit-Pair Level Process.
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

A Multi-Task Convolutional Neural Network for Renal Tumor Segmentation and Classification Using Multi-Phasic CT Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Unsupervised Three-Dimensional Image Registration Using a Cycle Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on 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

Self-focus Deep Embedding Model for Coarse-Grained Zero-Shot Classification.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

2018
Accurate image segmentation using Gaussian mixture model with saliency map.
Pattern Anal. Appl., 2018

Left Ventricle Full Quantification via Hierarchical Quantification Network.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

Automatic Segmentation of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Computed Tomography Image Origin Identification Based on Original Sensor Pattern Noise and 3-D Image Reconstruction Algorithm Footprints.
IEEE J. Biomed. Health Informatics, 2017

Fast segmentation of ultrasound images by incorporating spatial information into Rayleigh mixture model.
IET Image Process., 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

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

A limited memory BFGS algorithm for non-convex minimization with applications in matrix largest eigenvalue problem.
Math. Methods Oper. Res., 2016

Calcified coronary plaques detection in CTA based-on automatic scale selection and fuzzy C means.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

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

2014
Automatic left ventricle segmentation based on multiatlas registration in 4D CT images.
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

A New Divergence Measure Based on Arimoto Entropy for Medical Image Registration.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Quantitative measurement of coronary artery stenosis in CCTA images using a 2D parametric intensity model.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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
Coronary vessel extraction method using an improved minimum path based region growing.
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013

2012
Sliding Conjugate Symmetric Sequency-Ordered Complex Hadamard Transform: Fast Algorithm and Applications.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012

Sparse reconstruction from a limited projection number of the coronary artery tree in X-ray rotational imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Simulation environment of X-ray rotational angiography using 3D+t coronary tree model.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2010
Characterization of 3-D coronary tree motion from MSCT angiography.
IEEE Trans. Inf. Technol. Biomed., 2010

2009
Motion Compensated Tomography Reconstruction of Coronary Arteries in Rotational Angiography.
IEEE Trans. Biomed. Eng., 2009

2006
Efficient Legendre moment computation for grey level images.
Pattern Recognit., 2006

A Multiscale Tracking Algorithm for the Coronary Extraction in MSCT Angiography.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Temporal Tracking of Coronaries in MSCTA by Means of 3D Geometrical Moments.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006


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