Heye Zhang
Orcid: 0000-0003-3828-0629
According to our database1,
Heye Zhang
authored at least 129 papers
between 2006 and 2024.
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Bibliography
2024
A Deformable Constraint Transport Network for Optimal Aortic Segmentation From CT Images.
IEEE Trans. Medical Imaging, April, 2024
Iterative Residual Optimization Network for Limited-Angle Tomographic Reconstruction.
IEEE Trans. Image Process., 2024
2023
Multi-view stereoscopic attention network for 3D tumor classification in automated breast ultrasound.
Expert Syst. Appl., December, 2023
Inf. Fusion, November, 2023
Editorial: Advances in machine learning methods facilitating collaborative image-based decision making for neuroscience.
Frontiers Comput. Neurosci., September, 2023
Distance transform learning for structural and functional analysis of coronary artery from dual-view angiography.
Future Gener. Comput. Syst., August, 2023
Vessel Contour Detection in Intracoronary Images via Bilateral Cross-Domain Adaptation.
IEEE J. Biomed. Health Informatics, July, 2023
Comput. Methods Programs Biomed., June, 2023
Medical Image Anal., April, 2023
Multi-level multi-type self-generated knowledge fusion for cardiac ultrasound segmentation.
Inf. Fusion, April, 2023
IEEE Trans. Medical Imaging, March, 2023
Multiple Adversarial Learning Based Angiography Reconstruction for Ultra-Low-Dose Contrast Medium CT.
IEEE J. Biomed. Health Informatics, 2023
A Physics-Guided Deep Learning Approach for Functional Assessment of Cardiovascular Disease in IoT-Based Smart Health.
IEEE Internet Things J., 2023
Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Controllable Deep Learning Denoising Model for Ultrasound Images Using Synthetic Noisy Image.
Proceedings of the Advances in Computer Graphics, 2023
2022
IEEE Trans. Medical Imaging, 2022
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data.
IEEE Trans. Medical Imaging, 2022
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets.
IEEE J. Biomed. Health Informatics, 2022
A Personalized Pulmonary Circulation Model to Non-Invasively Calculate Fractional Flow Reserve for Artery Stenosis Detection.
IEEE Trans. Biomed. Eng., 2022
Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction.
Patterns, 2022
Vessel-GAN: Angiographic reconstructions from myocardial CT perfusion with explainable generative adversarial networks.
Future Gener. Comput. Syst., 2022
2021
Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping.
IEEE Trans. Neural Networks Learn. Syst., 2021
Industrial Cyber-Physical Systems-Based Cloud IoT Edge for Federated Heterogeneous Distillation.
IEEE Trans. Ind. Informatics, 2021
Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences.
Medical Image Anal., 2021
Spatio-temporal multi-task network cascade for accurate assessment of cardiac CT perfusion.
Medical Image Anal., 2021
Smart Health of Ultrasound Telemedicine Based on Deeply Represented Semantic Segmentation.
IEEE Internet Things J., 2021
Multi-task learning with Multi-view Weighted Fusion Attention for artery-specific calcification analysis.
Inf. Fusion, 2021
MIST-net: Multi-domain Integrative Swin Transformer network for Sparse-View CT Reconstruction.
CoRR, 2021
Comput. Medical Imaging Graph., 2021
Appl. Soft Comput., 2021
Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-Branch Multi-scale Attention Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Direct Quantification of Coronary Artery Stenosis Through Hierarchical Attentive Multi-View Learning.
IEEE Trans. Medical Imaging, 2020
Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging.
IEEE Trans. Medical Imaging, 2020
SaliencyGAN: Deep Learning Semisupervised Salient Object Detection in the Fog of IoT.
IEEE Trans. Ind. Informatics, 2020
Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging.
Neural Networks, 2020
IEEE Netw., 2020
Neural Comput. Appl., 2020
Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning.
Medical Image Anal., 2020
Trustful Internet of Surveillance Things Based on Deeply Represented Visual Co-Saliency Detection.
IEEE Internet Things J., 2020
Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention.
Future Gener. Comput. Syst., 2020
MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis.
Comput. Biol. Medicine, 2020
Unified model for interpreting multi-view echocardiographic sequences without temporal information.
Appl. Soft Comput., 2020
Comparison Study of Radiomics and Deep Learning-Based Methods for Thyroid Nodules Classification Using Ultrasound Images.
IEEE Access, 2020
Deep Attentive Wasserstein Generative Adversarial Networks for MRI Reconstruction with Recurrent Context-Awareness.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 31st British Machine Vision Conference 2020, 2020
2019
Quantitative Assessment for Self-Tracking of Acute Stress Based on Triangulation Principle in a Wearable Sensor System.
IEEE J. Biomed. Health Informatics, 2019
PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks.
Medical Image Anal., 2019
Learning the implicit strain reconstruction in ultrasound elastography using privileged information.
Medical Image Anal., 2019
Hybrid resampling and multi-feature fusion for automatic recognition of cavity imaging sign in lung CT.
Future Gener. Comput. Syst., 2019
CoRR, 2019
A novel machine-learning algorithm to estimate the position and size of myocardial infarction for MRI sequence.
Computing, 2019
Comput. Biol. Medicine, 2019
Int. J. Comput. Assist. Radiol. Surg., 2019
Quantitative Analysis of Blood Flow in Cerebral Venous Sinus With Stenosis by Patient-Specific CFD Modeling.
IEEE Access, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Recurrent Aggregation Learning for Multi-view Echocardiographic Sequences Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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
2018
Motion Tracking of the Carotid Artery Wall From Ultrasound Image Sequences: a Nonlinear State-Space Approach.
IEEE Trans. Medical Imaging, 2018
Robust Segmentation of Intima-Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle.
IEEE J. Biomed. Health Informatics, 2018
Heartbeats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks.
IEEE Trans. Biomed. Eng., 2018
Multim. Tools Appl., 2018
Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture.
Medical Image Anal., 2018
An Automatic Cardiac Arrhythmia Classification System With Wearable Electrocardiogram.
IEEE Access, 2018
IEEE Access, 2018
MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Multiview Sequential Learning and Dilated Residual Learning for a Fully Automatic Delineation of the Left Atrium and Pulmonary Veins from Late Gadolinium-Enhanced Cardiac MRI Images.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
2017
Erratum: Sandeep P., et al. An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks. <i>Sensors</i> 2015, <i>15</i>, 15067-15089.
Sensors, 2017
Erratum: Sandeep P., et al<i>. </i>A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network. <i>Sensors </i>2017, <i>17</i>, 69.
Sensors, 2017
A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network.
Sensors, 2017
Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression.
Medical Image Anal., 2017
Unsupervised boundary delineation of spinal neural foramina using a multi-feature and adaptive spectral segmentation.
Medical Image Anal., 2017
Robust estimation of carotid artery wall motion using the elasticity-based state-space approach.
Medical Image Anal., 2017
An artificial neural network method for lumen and media-adventitia border detection in IVUS.
Comput. Medical Imaging Graph., 2017
Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Detection of lumen and media-adventitia borders in IVUS images using sparse auto-encoder neural network.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Carotid Artery Wall Motion Estimated from Ultrasound Imaging Sequences Using a Nonlinear State Space Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Simultaneous Reconstruction and Segmentation of Dynamic PET via Low-Rank and Sparse Matrix Decomposition.
IEEE Trans. Biomed. Eng., 2015
An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks.
Sensors, 2015
Motion Estimation of Common Carotid Artery Wall Using a H ∞ Filter Based Block Matching Method.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
2014
IEEE Trans. Biomed. Eng., 2014
The Relationship between the 24 h Blood Pressure Variability and Carotid Intima-Media Thickness: A Compared Study.
Comput. Math. Methods Medicine, 2014
Comput. Math. Methods Medicine, 2014
2013
IEEE Trans. Biomed. Eng., 2013
Comput. Math. Methods Medicine, 2013
2012
Comput. Math. Methods Medicine, 2012
Integration of different cardiac electrophysiological models into a single simulation pipeline.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
2011
Physiological Fusion of Functional and Structural Images for Cardiac Deformation Recovery.
IEEE Trans. Medical Imaging, 2011
IEEE Trans. Biomed. Eng., 2011
Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2011
A strain-based ultrasound elastography using phase shift with prior estimates and meshfree shape function.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
2010
Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials.
IEEE Trans. Biomed. Eng., 2010
Recovery of Myocardial Kinematic Function without the Time History of External Loads.
EURASIP J. Adv. Signal Process., 2010
Comput. Medical Imaging Graph., 2010
Recovering Cardiac Electrical Activity from Medical Image Sequence: A Model-Based Approach.
Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010
Physiological Fusion of Functional and Structural Data for Cardiac Deformation Recovery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
A Statistical Physiological-Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac Electrophysiology Using Optical Imaging and MRI Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010
How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization.
Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010
Computational complexity reduction via mode superposition: Application to biomechanics-based nonlinear cardiac deformation recovery.
Proceedings of the International Conference on Image Processing, 2010
2009
J. Signal Process. Syst., 2009
Electrocardiographic simulation on personalised heart-torso structures using coupled meshfree-BEM platform.
Int. J. Funct. Informatics Pers. Medicine, 2009
Noninvasive Imaging of Electrophysiological Substrates in Post Myocardial Infarction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the International Conference on Image Processing, 2009
A reduced-rank square root filtering framework for noninvasive functional imaging of volumetric cardiac electrical activity.
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the Functional Imaging and Modeling of the Heart, 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
2008
Noninvasive Functional Imaging of Volumetric Cardiac Electrical Activity: A Human Study on Myocardial Infarction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008
Coupled Meshfree-BEM Platform for Electrocardiographic Simulation: Modeling and Validations.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Dynamic structural-image-guided noninvasive volumetric cardiac electrophysiological mapping.
Proceedings of the International Conference on Image Processing, 2008
2007
Integrating Functional and Structural Images for Simultaneous Cardiac Segmentation and Deformation Recovery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Simultaneous Recovery of Left Ventricular Motion and Input Forces from Medical Image Sequences.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the Functional Imaging and Modeling of the Heart, 2007
Proceedings of the Functional Imaging and Modeling of the Heart, 2007
2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Medical Imaging and Augmented Reality, 2006