Qingyu Zhao

Orcid: 0000-0002-9694-6022

According to our database1, Qingyu Zhao authored at least 53 papers between 2004 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Noncooperative Metal Object Detection Using Pole-to-Pole EM Distribution Characteristics for Wireless EV Charger Employing DD Coils.
IEEE Trans. Ind. Electron., June, 2024

2023
Metadata-Conditioned Generative Models to Synthesize Anatomically-Plausible 3D Brain MRIs.
CoRR, 2023

Imputing Brain Measurements Across Data Sets via Graph Neural Networks.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

LSOR: Longitudinally-Consistent Self-Organized Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI.
IEEE Trans. Medical Imaging, 2022

Multi-label, multi-domain learning identifies compounding effects of HIV and cognitive impairment.
Medical Image Anal., 2022

Self-supervised learning of neighborhood embedding for longitudinal MRI.
Medical Image Anal., 2022

Thin shell demons for dental scan registration.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multiple Instance Neuroimage Transformer.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Bridging the Gap Between Deep Learning and Hypothesis-Driven Analysis via Permutation Testing.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs.
IEEE J. Biomed. Health Informatics, 2021

Longitudinal self-supervised learning.
Medical Image Anal., 2021

Quantifying Parkinson's disease motor severity under uncertainty using MDS-UPDRS videos.
Medical Image Anal., 2021

Representation Disentanglement for Multi-modal MR Analysis.
CoRR, 2021

Representation Learning with Statistical Independence to Mitigate Bias.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Self-supervised Longitudinal Neighbourhood Embedding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Adversarial Bayesian Optimization for Quantifying Motion Artifact Within MRI.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Representation Disentanglement for Multi-modal Brain MRI Analysis.
Proceedings of the Information Processing in Medical Imaging, 2021

Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models.
Proceedings of the Information Processing in Medical Imaging, 2021

Metadata Normalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep learning identifies morphological determinants of sex differences in the pre-adolescent brain.
NeuroImage, 2020

LSSL: Longitudinal Self-Supervised Learning.
CoRR, 2020

Recurrent Neural Networks with Longitudinal Pooling and Consistency Regularization.
CoRR, 2020

Spatio-Temporal Graph Convolution for Functional MRI Analysis.
CoRR, 2020

Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Inpainting Cropped Diffusion MRI Using Deep Generative Models.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

2019
Bias-Resilient Neural Network.
CoRR, 2019

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis.
CoRR, 2019

Multiple Object Tracking Based on the Deep Neural Networks and Correlation Filter.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Confounder-Aware Visualization of ConvNets.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Variational AutoEncoder for Regression: Application to Brain Aging Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Data Augmentation Based on Substituting Regional MRIs Volume Scores.
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

Covariance Shrinkage for Dynamic Functional Connectivity.
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019

Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Variational Autoencoder with Truncated Mixture of Gaussians for Functional Connectivity Analysis.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
Chained regularization for identifying brain patterns specific to HIV infection.
NeuroImage, 2018

Deforming generalized cylinders without self-intersection by means of a parametric center curve.
Comput. Vis. Media, 2018

Skeleton-based Generalized Cylinder Deformation under the Relative Curvature Condition.
Proceedings of the 26th Pacific Conference on Computer Graphics and Applications, 2018

A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Surface Registration for Pharyngeal Radiation Treatment Planning.
PhD thesis, 2017

Improving 3D surface reconstruction from endoscopic video via fusion and refined reflectance modeling.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Orthotropic Thin Shell Elasticity Estimation for Surface Registration.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
The Endoscopogram: A 3D Model Reconstructed from Endoscopic Video Frames.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Surface Registration in the Presence of Missing Patches and Topology Change.
Proceedings of the Medical Image Understanding and Analysis, 2015

2014
Local Metric Learning in 2D/3D Deformable Registration With Application in the Abdomen.
IEEE Trans. Medical Imaging, 2014

Geometric-Feature-Based Spectral Graph Matching in Pharyngeal Surface Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2004
A cost-driven compilation framework for speculative parallelization of sequential programs.
Proceedings of the ACM SIGPLAN 2004 Conference on Programming Language Design and Implementation 2004, 2004


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