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We stand with Ukraine

Yuyao Zhang

Orcid: 0000-0001-6706-4867

Affiliations:

ShanghaiTech University, Shanghai, China

According to our database¹, Yuyao Zhang authored at least 94 papers between 2015 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Disentangled Learning Improves Implicit Neural Representations for Medical Reconstruction.

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CoRR, May, 2026

A Real-Time Neural Representation via Algorithm-Hardware Synergy for Sparse-View CT Reconstruction.

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IEEE Trans. Neural Networks Learn. Syst., April, 2026

Diffusion-QSM: Diffusion Model With Time-Travel and Resampling Refinement for Quantitative Susceptibility Mapping.

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IEEE Trans. Biomed. Eng., April, 2026

Zero-shot Low-Field MRI Enhancement via Diffusion-Based Adaptive Contrast Transport.

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CoRR, March, 2026

Resolving Blind Inverse Problems under Dynamic Range Compression via Structured Forward Operator Modeling.

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CoRR, March, 2026

Plug-and-Play Diffusion Meets ADMM: Dual-Variable Coupling for Robust Medical Image Reconstruction.

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CoRR, February, 2026

Improving 2D Diffusion Models for 3D Medical Imaging with Inter-Slice Consistent Stochasticity.

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CoRR, February, 2026

Unsupervised highly accelerated 3D multi-parametric MRI reconstruction via low-rank integrated implicit neural representation.

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Pattern Recognit., 2026

Free-breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation.

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Medical Image Anal., 2026

SCOPE-3D: An Energy Efficient Accelerator for Implicit Neural Representation-based Sparse-view Computed Tomography Reconstruction.

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Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

Reconstruction of Absorption Coefficients for Quantitative Photoacoustic Tomography with Unsupervised Neural Representation.

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Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

Spatio-Temporal Continuous Fetal Body Atlas Via Latent-Conditioned Implicit Neural Representation.

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Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

NICE: Neural Implicit Craniofacial Model for Orthognathic Surgery Prediction.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Unsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Zero-shot Implicit Neural Manifold Representation (INMR) for Ultra-high Temporal Resolution Dynamic MRI.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SAFFRON: A Physics-Informed, Label-Free Self-Supervised Deep Learning Framework for Fast and Accurate 3D Fetal Brain MRI Reconstruction.

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IEEE J. Sel. Top. Signal Process., December, 2025

XDen-1K: A Density Field Dataset of Real-World Objects.

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CoRR, December, 2025

3D Isotropic High-Resolution Fetal Brain MRI Reconstruction From Motion Corrupted Thick Data Based on Physical-Informed Unsupervised Learning.

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IEEE J. Biomed. Health Informatics, November, 2025

SPIDER: Structure-Preferential Implicit Deep Network for Biplanar X-ray Reconstruction.

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CoRR, July, 2025

Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction.

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CoRR, June, 2025

Super-temporal-resolution Photoacoustic Imaging with Dynamic Reconstruction through Implicit Neural Representation in Sparse-view.

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CoRR, June, 2025

Spatiotemporal Implicit Neural Representation for Unsupervised Dynamic MRI Reconstruction.

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IEEE Trans. Medical Imaging, May, 2025

JSover: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections.

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CoRR, May, 2025

Resolution Enhancement of Under-Sampled Photoacoustic Microscopy Images Using Neural Representation.

[DOI]

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Zhengyuan Zhang

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Manojit Pramanik

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IEEE Trans. Computational Imaging, 2025

Coordinate-based neural representation enabling zero-shot learning for fast 3D multiparametric quantitative MRI.

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Medical Image Anal., 2025

Highly accelerated MRI via implicit neural representation guided posterior sampling of diffusion models.

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Medical Image Anal., 2025

COLLATOR: Consistent spatial-temporal longitudinal atlas construction via implicit neural representation.

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Medical Image Anal., 2025

Joint coil sensitivity and motion correction in parallel MRI with a self-calibrating score-based diffusion model.

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Medical Image Anal., 2025

Self-supervised denoising for high-dimensional magnetic resonance image.

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Biomed. Signal Process. Control., 2025

Blending Parametric Model and Neural Refinement: A Coarse-to-Fine Approach for Predicting Facial Changes in Orthognathic Surgery.

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Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

IMJ-PLUS: Implicit Representation for Dynamic MRI and Coil Sensitivity Joint Reconstruction Using Low-Rank PLUS Sparse Regularization.

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Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Accelerated 3D Thermometry Field Reconstruction from Tri-Planar Images via Cross-View Implicit Representation.

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Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation.

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SVRMamba: Slice-to-Volume Reconstruction from Multiple MRI Stacks with Slice Sequence Guided Mamba.

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Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction.

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Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Carotid Vessel Wall Segmentation Through Domain Aligner, Topological Learning, and Segment Anything Model for Sparse Annotation in MR Images.

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Zhongxiang Ding

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IEEE Trans. Medical Imaging, December, 2024

IMJENSE: Scan-Specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI.

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IEEE Trans. Medical Imaging, April, 2024

Brain Age Prediction Based on Quantitative Susceptibility Mapping Using the Segmentation Transformer.

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IEEE J. Biomed. Health Informatics, February, 2024

Zero-Shot Image Denoising for High-Resolution Electron Microscopy.

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IEEE Trans. Computational Imaging, 2024

A subject-specific unsupervised deep learning method for quantitative susceptibility mapping using implicit neural representation.

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Medical Image Anal., 2024

Neural implicit surface reconstruction of freehand 3D ultrasound volume with geometric constraints.

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Logiraj Kumaralingam

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Kumaradevan Punithakumar

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Edmond H. M. Lou

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Medical Image Anal., 2024

Coordinate-Based Neural Representation Enabling Zero-Shot Learning for 3D Multiparametric Quantitative MRI.

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CoRR, 2024

Highly Accelerated MRI via Implicit Neural Representation Guided Posterior Sampling of Diffusion Models.

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CoRR, 2024

Unsupervised Density Neural Representation for CT Metal Artifact Reduction.

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CoRR, 2024

DPER: Diffusion Prior Driven Neural Representation for Limited Angle and Sparse View CT Reconstruction.

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CoRR, 2024

Zero-Shot Low-Field MRI Enhancement via Denoising Diffusion Driven Neural Representation.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Reconstructing Knee CT Volumes from Biplanar X-Rays Via Self-Supervised Neural Field.

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Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

An FPGA Accelerator for 3D Cone-beam Sparse-view Computed Tomography Reconstruction.

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Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

APART-QSM: An improved sub-voxel quantitative susceptibility mapping for susceptibility source separation using an iterative data fitting method.

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NeuroImage, July, 2023

An Energy-Efficient Accelerator for Medical Image Reconstruction From Implicit Neural Representation.

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IEEE Trans. Circuits Syst. I Regul. Pap., April, 2023

An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation.

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IEEE J. Biomed. Health Informatics, February, 2023

Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography.

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IEEE Trans. Computational Imaging, 2023

JSMoCo: Joint Coil Sensitivity and Motion Correction in Parallel MRI with a Self-Calibrating Score-Based Diffusion Model.

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CoRR, 2023

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction.

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CoRR, 2023

Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction.

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Supervised Arbitrary Scale Super-Resolution Framework for Anisotropic MRI.

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Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Joint Rigid Motion Correction and Sparse-View CT via Self-Calibrating Neural Field.

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Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

ASSURED: A Self-Supervised Deep Decoder Network for Fetus Brain MRI Reconstruction.

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Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis.

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Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI.

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Zhongxiang Ding

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Xiang Sean Zhou

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Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Self-Supervised High-Dimentional Magnetic Resonance Image Denoising Using Super-Resolved Single Noisy Image.

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Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Scan-Specific Unsupervised Method for Parallel MRI Reconstruction Via Implicit Neural Representation.

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Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator.

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ACM Trans. Graph., 2022

NIMBLE: a non-rigid hand model with bones and muscles.

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Yingwenqi Jiang

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ACM Trans. Graph., 2022

Regularized Asymmetric Susceptibility Tensor Imaging in the Human Brain in Vivo.

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IEEE J. Biomed. Health Informatics, 2022

Towards <i>in vivo</i> ground truth susceptibility for single-orientation deep learning QSM: A multi-orientation gradient-echo MRI dataset.

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NeuroImage, 2022

Altered brain iron depositions from aging to Parkinson's disease and Alzheimer's disease: A quantitative susceptibility mapping study.

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NeuroImage, 2022

Noise2SR: Learning to Denoise from Super-Resolved Single Noisy Fluorescence Image.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants.

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Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis.

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Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022

Semantic-Aware Registration with Weakly-Supervised Learning.

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Proceedings of the Cancer Prevention Through Early Detection, 2022

Continuous Longitudinal Fetus Brain Atlas Construction via Implicit Neural Representation.

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Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Age-specific structural fetal brain atlases construction and cortical development quantification for chinese population.

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NeuroImage, 2021

MoDL-QSM: Model-based deep learning for quantitative susceptibility mapping.

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NeuroImage, 2021

An Arbitrary Scale Super-Resolution Approach for 3-Dimensional Magnetic Resonance Image using Implicit Neural Representation.

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CoRR, 2021

IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation.

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CoRR, 2021

MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping.

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CoRR, 2021

IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-scale Segmentation Network for Rib Fracture Classification from CT Images.

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Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Consistent Wce Video Frame Interpolation Based On Endoscopy Image Motion Estimation.

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Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging.

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Longitudinal Chinese Population Structural Fetal Brain Atlases Construction: toward precise fetal brain segmentation.

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Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

DeepQSMSeg: A Deep Learning-based Sub-cortical Nucleus Segmentation Tool for Quantitative Susceptibility Mapping.

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Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Neonate and infant brain development from birth to 2 years assessed using MRI-based quantitative susceptibility mapping.

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NeuroImage, 2019

Learning-based single-step quantitative susceptibility mapping reconstruction without brain extraction.

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Kristen W. Yeom

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NeuroImage, 2019

2018

Longitudinal atlas for normative human brain development and aging over the lifespan using quantitative susceptibility mapping.

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Matthew J. Cronin

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NeuroImage, 2018

Illumination Normalization for Face Recognition via Jointly Optimized Dictionary-Learning and Sparse Representation.

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IEEE Access, 2018

2017

Atlas construction of cardiac fiber architecture using a multimodal registration approach.

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Neurocomputing, 2017

2016

Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains.

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IEEE Trans. Medical Imaging, 2016

Imaging whole-brain cytoarchitecture of mouse with MRI-based quantitative susceptibility mapping.

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G. Allan Johnson

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NeuroImage, 2016

3D Object Retrieval with Multimodal Views.

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Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

2015

Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases.

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Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

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