Guanyu Yang
Orcid: 0000-0003-3704-1722
According to our database1,
Guanyu Yang
authored at least 97 papers
between 2006 and 2024.
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Bibliography
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
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
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
Speech Commun., April, 2023
O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation.
Knowl. Based Syst., April, 2023
FedSODA: Federated Cross-assessment and Dynamic Aggregation for Histopathology Segmentation.
CoRR, 2023
CoRR, 2023
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training.
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
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
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
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
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
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
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
Medical Image Anal., 2021
Neurocomputing, 2021
Frontiers Neurorobotics, 2021
CPNet: Cycle Prototype Network for Weakly-supervised 3D Renal Compartments Segmentation on CT Images.
CoRR, 2021
Comput. Methods Programs Biomed., 2021
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
CoRR, 2020
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
Artif. Intell. Medicine, 2020
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
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
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
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019
2018
Pattern Anal. Appl., 2018
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
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
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
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
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
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
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
IEEE Trans. Inf. Technol. Biomed., 2010
2009
Motion Compensated Tomography Reconstruction of Coronary Arteries in Rotational Angiography.
IEEE Trans. Biomed. Eng., 2009
2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006