Exploring cognitive related microstructural alterations in normal appearing white matter and deep grey matter for small vessel disease: A quantitative susceptibility mapping study.

[BibT_eX]

[DOI]

Yawen Sun

Wentao Hu

NeuroImage, 2024

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

[BibT_eX]

[DOI]

Medical Image Anal., 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

GESH-Net: Graph-Enhanced Spherical Harmonic Convolutional Networks for Cortical Surface Registration.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Unsupervised Density Neural Representation for CT Metal Artifact Reduction.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

[BibT_eX]

[DOI]

NeuroImage, July, 2023

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

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, February, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction.

[BibT_eX]

[DOI]

CoRR, 2023

Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

NeuroImage, 2022

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

[BibT_eX]

[DOI]

NeuroImage, 2022

FreeSurfer and 3D Slicer-Assisted SEEG Implantation for Drug-Resistant Epilepsy.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2022

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

[BibT_eX]

[DOI]

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

Continuous Longitudinal Fetus Brain Atlas Construction via Implicit Neural Representation.

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

NeuroImage, 2021

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

[BibT_eX]

[DOI]

NeuroImage, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

NeuroImage, 2019

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

[BibT_eX]

[DOI]

NeuroImage, 2019

Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility.

[BibT_eX]

[DOI]

NeuroImage, 2019

2018

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

[BibT_eX]

[DOI]

NeuroImage, 2018

MRI gradient-echo phase contrast of the brain at ultra-short TE with off-resonance saturation.

[BibT_eX]

[DOI]

NeuroImage, 2018

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

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

Exploring the origins of echo-time-dependent quantitative susceptibility mapping (QSM) measurements in healthy tissue and cerebral microbleeds.

[BibT_eX]

[DOI]

NeuroImage, 2017

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

[BibT_eX]

[DOI]

Yuyao Zhang

Hongjiang Wei

Neurocomputing, 2017

2016

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

[BibT_eX]

[DOI]

NeuroImage, 2016

Magnetic susceptibility of brain iron is associated with childhood spatial IQ.

[BibT_eX]

[DOI]

Kimberly L. H. Carpenter

NeuroImage, 2016

3D Object Retrieval with Multimodal Views.

[BibT_eX]

[DOI]

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

2015

Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion.

[BibT_eX]

[DOI]

Hongjiang Wei

Magalie Viallon

Bénédicte M. A. Delattre

IEEE Trans. Medical Imaging, 2015

2013

In vivo diffusion tensor imaging (DTI) for the human heart under free-breathing conditions. (Tenseur de diffusion d'imagerie (DTI) in vivo pour le cœur de l'homme dans des conditions de libre respiration).

[BibT_eX]

[DOI]

Hongjiang Wei

PhD thesis, 2013

Assessment of Cardiac Motion Effects on the Fiber Architecture of the Human Heart In Vivo.

[BibT_eX]

[DOI]

Hongjiang Wei

Magalie Viallon

Bénédicte M. A. Delattre

Lihui Wang

Vinay M. Pai