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Publications

Preprints

T. Ding, H. Chen, Y. Gao, Z. Xiong, F. Liu, M.A. Cloos, H. Sun*
Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting
arXiv preprint arXiv:2507.03369 (2025).
M. Li, C. Chen, Z. Li, Y. Liu, S. Shan, P. Wu, P. Rong, F. Liu, G.B. Pike, H. Sun, Y. Gao
SUSEP-Net: Simulation-Supervised and Contrastive Learning-based Deep Neural Networks for Susceptibility Source Separation
arXiv preprint arXiv:2506.13293 (2025).
J. Liu, Q. Lin, Z. Xiong, S. Shan, C. Liu, M. Li, F. Liu, G.B. Pike, H. Sun, Y. Gao
Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models
arXiv preprint arXiv:2505.08142 (2025).
Z. Xiong, W. Jiang, Y. Gao, F. Liu, H. Sun*
QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping
arXiv preprint arXiv:2403.14070 (2024).
W. Ma, M.B. Lorenzana, W. Dai, H. Sun, S.S. Chandra
Multi-scale MRI reconstruction via dilated ensemble networks
arXiv preprint arXiv:2310.04705 (2023).

Journal Articles

X. Zhu, Y. Gao, Z. Xiong, W. Jiang, F. Liu, H. Sun*
DIP-UP: Deep Image Prior for Unwrapping Phase
Information. 2025; 16 (7):592.
M. Li, C. Chen, Z. Xiong, Y. Liu, P. Rong, S. Shan, F. Liu, H. Sun, Y. Gao
Quantitative susceptibility mapping via deep neural networks with iterative reverse concatenations and recurrent modules
Med Phys. 2025.
T. Ding, Y. Gao, Z. Xiong, F. Liu, M.A. Cloos, H. Sun*
MRF-Mixer: A simulation-based deep learning framework for accelerated and accurate magnetic resonance fingerprinting reconstruction
Information. 2023;16(3):218.
Y. Gao, Z. Xiong, S. Shan, Y. Liu, P. Rong, M. Li, A.H. Wilman, G.B. Pike, F. Liu, H. Sun*
Plug-and-Play Latent Feature Editing for Orientation-Adaptive Quantitative Susceptibility Mapping Neural Networks
Medical Imaging Analysis. 2023.
Z. Xiong, Y. Gao, Y. Liu, A. Fazlollahi, P. Nestor, F. Liu, H. Sun*
Quantitative Susceptibility Mapping through Model-based Deep Image Prior (MoDIP)
NeuroImage. 2023.
H. Askari, Y. Latif, H. Sun*
MapFlow: Latent Transition Via Normalizing Flow for Unsupervised Domain Adaptation
Machine Learning; 2023.
Z. Dai, Z. Yang, Z. Li, M. Li, H. Sun, Z. Zhuang, W. Yang, Z. Hu, X. Chen, D. Lin, X. Wu
Increased glymphatic system activity in patients with mild traumatic brain injury
Front. Neurol. Applied Neuroimaging; 2023.
S. Shan, Y. Gao, P.Z.Y. Liu, B. Whelan, H. Sun, B. Dong, F. Liu, D.E.J. Waddington
Distortion-Corrected Image Reconstruction with Deep Learning on an MRI-Linac
Magn. Reson. Med. 2023.
Z. Xiong, Y. Gao, F. Liu, H. Sun*
Affine Transformation Edited and Refined Deep Neural Network for Quantitative Susceptibility Mapping
NeuroImage; 2022.
N. Nathoo, M. Gee, K. Nelles, J. Burt, H. Sun, P. Seres, A.H. Wilman, C. Beaulieu, F. Ba, R. Camicioli
Quantitative susceptibility mapping changes relate to gait issues in Parkinson’s Disease
Can J Neurol Sci. 2022 Nov 10:1-22.
R. Yang, M. Hamilton, H. Sun, K. Rawji, S. Sarkar, R. Mirzaei, G.B. Pike, W. Yong, J.F. Dunn
Detecting monocyte trafficking in an animal model of glioblastoma using R2* and quantitative susceptibility mapping
Cancer Immunology, Immunotherapy; 2022.
D. Nakhid, C. McMorris, H. Sun, W.B. Gibbard, C. Tortorelli, C. Lebel
Brain Volume and Magnetic Susceptibility Differences in Children and Adolescents with Prenatal Alcohol Exposure
Alcoholism: Clinical and Experimental Research; 2022.
A. De, H. Sun, D.J. Emery, K.C. Butcher, A.H. Wilman
Quantitative susceptibility-weighted imaging in presence of strong susceptibility sources: Application to hemorrhage
Magn. Reson Imaging 2022.
Y. Gao, Z. Xiong, A. Fazlollahi, P.J. Nestor, V. Vegh, F. Nasrallah, C. Winter, G.B. Pike, S. Crozier, F. Liu, H. Sun*
Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks
NeuroImage. 2022.
X. Zhu, Y. Gao, F. Liu, S. Crozier, H. Sun*
BFRnet: A deep learning-based MR background field removal method for QSM of the brain containing significant pathological susceptibility sources
Z Med Phys. 2022.
D. Nakhid, C. McMorris, H. Sun, B. Gibbard, C. Tortorelli, C. Lebel
Brain iron and mental health symptoms in youth with and without prenatal alcohol exposure
Nutrients; 2022.
Z. Yang, D. Lin, X. Chen, J. Qiu, S. Li, R. Huang, Z. Yang, H. Sun, Y. Liao, J. Xiao, Y.Y. Tang, X. Chen, S. Zhang, Z. Dai
Distinguishing COVID-19 from influenza pneumonia in the early stage through CT imaging and clinical features
Frontiers in Microbiology; 2022.
Y. Gao, M. Cloos, F. Liu, S. Crozier, G.B. Pike, H. Sun*
Accelerating quantitative susceptibility and R2* mapping using incoherent undersampling and deep neural network reconstruction
Neuroimage. 2021.
X. Zhu, Y. Gao, F. Liu, S. Crozier, H. Sun*
Deep grey matter quantitative susceptibility mapping from small spatial coverages using deep learning
Z Med Phys. 2021.
Z. Yang, X. Chen, R. Huang, S. Li, D. Lin, Z. Yang, H. Sun, G. Liu, J. Qiu, Y. Tang, J. Xiao, Y. Liao, X. Wu, R. Wu, X. Chen, Z. Dai
Atypical presentations of coronavirus disease 2019 (COVID-19) from onset to readmission
BMC Infect Dis. 2021 Jan 29;21(1):127.
X. Liu, J. Wang, H. Sun, S.S.Chandra, S. Croziera, F. Liu
On the regularization of feature fusion and mapping for fast MR multi-contrast imaging via iterative networks
Magn Reson Imaging. 2021 Jan 2;77:159-168.
Y. Gao, X. Zhu, B.A. Moffat, R. Glarin, A.H. Wilman, G.B. Pike, S. Crozier, F. Liu, H. Sun*
xQSM: Quantitative Susceptibility Mapping with Octave Convolutional and Noise Regularized Neural Networks
NMR Biomed. 2020 Nov 26.
Z. Dai, S. Kalra, D. Mah, P. Seres, H. Sun, R. Wu, A.H. Wilman
Amide signal intensities may be reduced in the motor cortex and the corticospinal tract of ALS patients
Eur Radiol. 2020.
M.E. MacDonald, R.J. Williams, D. Rajashekar, R.B. Stafford, A. Hanganu, H. Sun, A.J.L. Berman, C.R. McCreary, R. Frayne, N.D. Forkert, G.B. Pike
Age-related differences in cerebral blood flow and cortical thickness with an application to age prediction
Neurobiol Aging 2020; 95:131-142.
Y. Ma, E.L. Mazerolle, J. Cho, H. Sun, Y. Wang, G.B. Pike
Quantification of brain oxygen extraction fraction using QSM and a hyperoxic challenge
Magn. Reson. Med. 2020.
X. Chen, Y. Tang, Y. Mo, S. Li, D. Lin, Z. Yang, Z. Yang, H. Sun, J. Qiu, Y. Liao, J. Xiao, X. Chen, X. Wu, R. Wu, Z. Dai
A diagnostic model for coronavirus disease 2019 (COVID-19) based on radiological semantic and clinical features: a multi-center study
Eur Radiol. 2020 Mar 23.
N. Naji, H. Sun, A.H. Wilman
On the value of QSM from MPRAGE for segmenting and quantifying iron-rich deep gray matter
Magn. Reson. Med. 2020 Mar 3.
H. Sun, J.O. Cleary, R. Glarin, S.C. Kolbe, R.J. Ordidge, B.A. Moffat, G.B. Pike
Extracting more for less: Multi-echo MP2RAGE for simultaneous T1-weighted imaging, T1 mapping, R2* mapping, SWI, and QSM from a single acquisition
Magn. Reson. Med. 2020; 83(4):1178-1191.
Y. Ma, H. Sun, J. Cho, E.L. Mazerolle, Y. Wang, G.B. Pike
Cerebral OEF quantification: A comparison study between quantitative susceptibility mapping and dual-gas calibrated BOLD imaging
Magn. Reson. Med. 2020; 83(1):68-82. (selected as MRM 2020 January Cover Article)
A. De, H. Sun, D.J. Emery, K.C. Butcher, A.H. Wilman
Rapid quantitative susceptibility mapping of intracerebral hemorrhage
J. Magn. Reson. Imaging 2020; 51(3):712-718.
A.M. Elkady, D. Cobzas, H. Sun, P. Seres, G. Blevins, A.H. Wilman
Five Year Iron Changes in Relapsing-Remitting Multiple Sclerosis Deep Gray Matter Compared to Healthy Controls
Mult Scler Relat Disord 2019; 33:107-115.
A.J. Walsh, H. Sun, D.J. Emery, A.H. Wilman
Hematocrit Measurement with R2* and Quantitative Susceptibility Mapping in Postmortem Brain
AJNR Am J Neuroradiol. 2018; 39(7):1260-1266.
H. Sun, Y. Ma, M.E. MacDonald, G.B. Pike
Whole Head Quantitative Susceptibility Mapping Using a Least-norm Direct Dipole Inversion Method
NeuroImage 2018; 179:166-175.
H. Sun, A. Klahr, M. Kate, L.C. Gioia, D.J. Emery, K. Butcher, A.H. Wilman
Quantitative Susceptibility Mapping for Following of Intracranial Hemorrhage
Radiology 2018; 288(3):830-839.
A.M. Elkady, D. Cobzas, H. Sun, G. Blevins, A.H. Wilman
Discriminative Analysis of Regional Evolution of Iron and Myelin/Calcium in Deep Gray Matter of Relapsing-Remitting Multiple Sclerosis and Healthy Subjects
J. Magn. Reson. Imaging 2018; 48(3):652-668.
J. Kmech, E. Fujiwara, D. Cobzas, H. Sun, P. Seres, G. Blevins, A.H. Wilman
Cognitive Implications of Deep Gray Matter Iron in Multiple Sclerosis
AJNR Am J Neuroradiol. 2017; 38(5):942-948.
A.M. Elkady, D. Cobzas, H. Sun, G. Blevins, A.H. Wilman
Progressive Iron Accumulation Across Multiple Sclerosis Phenotypes Revealed by Sparse Classification of Deep Gray Matter
J. Magn. Reson. Imaging 2017; 46(5):1464-1473.
M. Juhás, H. Sun, M.R.G. Brown, M.B. MacKay, A.H. Wilman, S.M. Dursun, A.J. Greenshaw
Deep Grey Matter Iron Accumulation in Alcohol Use Disorder
NeuroImage 2017; 148:115-122.
H. Sun, P. Seres, A.H. Wilman
Structural and Functional Quantitative Susceptibility Mapping from Standard fMRI Studies
NMR Biomed. 2016 Sep 30;
A.M. Elkady, H. Sun, A.H. Wilman
Importance of extended spatial coverage for quantitative susceptibility mapping of iron-rich deep grey matter
J. Magn. Reson. Imaging 2016; 34(4):574-578.
H. Sun, M. Kate, L.C. Gioia, D.J. Emery, K. Butcher, A.H. Wilman
Quantitative susceptibility mapping using a superposed dipole inversion method: application to intracranial hemorrhage
Magn. Reson. Med. 2016; 76(3):781-791.
D. Cobzas, H. Sun, A.J. Walsh, R.M. Lebel, G. Blevins, A.H. Wilman
Voxel-based analysis of subcortical grey matter using transverse relaxation and quantitative susceptibility mapping with application to multiple sclerosis
J. Magn. Reson. Imaging 2015; 42:1601-1610.
H. Sun, A.J. Walsh, R.M. Lebel, G. Blevins, I. Catz, J-Q. Lu, E.S. Johnson, D.J. Emery, K.G. Warren, A.H. Wilman
Validation of quantitative susceptibility mapping with Perls’ iron staining for subcortical gray matter
NeuroImage 2015; 105:486–492.
H. Sun, A.H. Wilman
Quantitative susceptibility mapping using single-shot echo-planar imaging
Magn. Reson. Med. 2015; 73:1932-1938. (selected as MRM 2015 May Cover Article)
H. Sun, A.H. Wilman
Background field removal using spherical mean value filtering and Tikhonov regularization
Magn. Reson. Med. 2014; 71:1151–1157.

Editorials

W. Zheng, Z. Dai, R. Wu, H. Sun*
Editorial: Imaging of neurometabolism
Front Neurosci. 2023; 17: 1286361.
H. Sun
Editorial for “Deep-Learning Detection of Cancer Metastasis to the Brain on MRI”
J. Magn. Reson. Imaging 2020 Mar 10.

Conference Papers

H. Askari, F. Roosta, H. Sun*
Training-free medical image inverses via bi-level guided diffusion models
2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, AZ, USA, 2025, pp. 75-84
W. Jiang, Z. Xiong, F. Liu, N. Ye, H. Sun*
Fast Controllable Diffusion Models for Undersampled MRI Reconstruction
2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 2024, pp. 1-5

Conference Abstracts

S. Prima, Z. Xiong, A.H. Wilman, H. Sun*
DeepRelaxo: A Generalizable Self-supervised Method for Brain R2 Mapping
ISMRM; Honolulu; May 2025.
T. Ding, Y. Gao, Z. Xiong, F. Liu, M. Cloos, H. Sun*
Partial Volume Estimation from MRF Acquisition Using a Deep Learning Approach
ISMRM; Honolulu; May 2025.
W. Jiang, W. Song, Y. Gao, N. Ye, F. Liu, H. Sun*
Consistent MRI Reconstruction with Diffusion Models and Sequential Monte Carlo
ISMRM; Honolulu; May 2025.
Z. Xiong, Y. Gao, W. Jiang, K. Butcher, A. Wilman, H. Sun*
Rapid Quantitative Susceptibility Mapping for Intracranial Hemorrhage Using Deep Learning-based 2.5D Diffusion Models
ISMRM; Honolulu; May 2025.
H. Sun, T. Islam, M. Barth, Z. Chen
Synthesising 3T DWI from ultra-low-field (64mT) acquisitions using generative diffusion models
ISMRM; Singapore; May 2024.
Z. Xiong, Y. Gao, H. Sun*
Quantitative Susceptibility Mapping by Controllable Diffusion Models
ISMRM; Singapore; May 2024.
W. Jiang, F. Liu, N. Ye, H. Sun*
Robustness of Diffusion Model-Based Methods to Distribution Shifts in Medical Imaging
ISMRM; Singapore; May 2024.
X. Zhu, Y. Gao, Z. Xiong, W. Jiang, F. Liu, S. Crozier, H. Sun*
A deep image prior based refinement for 3D phase unwrapping in brain MRI
ISMRM; Singapore; May 2024.
T. Ding, Y. Gao, Z. Xiong, M. Cloos, H. Sun*
Multi Complex-valued Spatio-temporal Fusion Networks for Robust MRF Reconstruction
ISMRM; Singapore; May 2024.
Y. Gao, Z. Xiong, S. Shan, M. Li, A.H. Wilman, G.B. Pike, F. Liu, H. Sun*
QSM Reconstruction of Arbitrary Dipole Orientations using an End-to-end Neural Network via Latent Feature Editing
ISMRM; Singapore; May 2024.
C. Chen, Y. Gao, M. Li, Z. Xiong, F. Liu, H. Sun*
LoopNet: A New Baseline Network for QSM Dipole Inversion
ISMRM; Singapore; May 2024.
T. Makarowski, H. Sun, J.F. Dunn
Comparing R2* and QSM at 9.4T for the ability to detect increased deoxyhemoglobin (hypoxia) in the mouse brain
ISMRM; Singapore; May 2024.
W. Jiang, F. Liu, N. Ye, H. Sun*
A Study on Diffusion Models for Domain Shifts in MRI Reconstruction
ISMRM ANZ Chapter; Brisbane; Nov 2023.
Z. Xiong, Y. Gao, H. Sun*
Quantitative Susceptibility Mapping by Controllable Diffusion Models
ISMRM ANZ Chapter; Brisbane; Nov 2023.
T. Ding, Y. Gao, Z. Xiong, M. Cloos, H. Sun*
Complex-valued Spatio-temporal Fusion Network for Robust MRF Reconstruction
ISMRM ANZ Chapter; Brisbane; Nov 2023.
S. Prima, Z. Xiong, H. Sun*
Deep Learning-based Brain R2* Mapping from Variable Acquisition Parameters
ISMRM ANZ Chapter; Brisbane; Nov 2023.
S. Prima, Z. Xiong, H. Sun*
Brain MRI R2* Quantification using Deep Neural Networks
EMBC; Sydney; July 2023.
T. Ding, Y. Gao, H. Sun*
A complex-valued deep neural network for Magnetic Resonance Fingerprinting
EMBC; Sydney; July 2023.
W. Jiang, Y. Gao, H. Sun*
MR image super-resolution via a variational diffusion model
ISMRM; Toronto; June 2023.
W. Jiang, Y. Gao, H. Sun*
MRI reconstruction using DDPM with sparsely sampled k-space as guidance
ISMRM; Toronto; June 2023.
Y. Gao, T. Ding, M.A. Cloos, H. Sun*
MRF-mixer: a self-supervised deep learning MRF framework
ISMRM; Toronto; June 2023.
Z. Xiong, Y. Gao, H. Sun*
Real-time style transfer for quantitative susceptibility mapping using unsupervised learning
ISMRM; Toronto; June 2023.
Q. Shafqat, Y. Wu, U.J. Ohaezukosi, T. Makarowski, H. Sun, R. Tariq, J.F. Dunn
Systemic inflammation causes cerebral hypoperfusion, reductions in brain susceptibility and hippocampal hypoxia: a 9.4T MRI animal study
ISMRM; Toronto; June 2023.
R. Tariq, R. Muhammed, Y. Wu, Q. Shafqat, H. Sun, J.F. Dunn
Magnetic Susceptibility vs Relaxometry in the Characterization of an Animal Model of Multiple Sclerosis
ISMRM; Toronto; June 2023.
S. Shan, Y. Gao, P. Liu, T. Reynolds, B. Dong, H. Sun, M. Li, G. Liney, F. Liu, P. Keall, D. Waddington
Motion-corrected Image Reconstruction Using an Unrolling Network on an MRI-Linac
AUS MR in RT workshop; Noosa; 2022.
R. Steele, Q. Shafqat, Y. Wu, H. Sun, J.F. Dunn
Cerebral blood flow and magnetic susceptibility are reduced in the bacterial lipopolysaccharide (LPS) mouse model of inflammation
Alberta Imaging Symposium; Foothills Medical Centre, Calgary; 2022.
Z. Xiong, Y. Gao, H. Sun*
Unsupervised Multi-task learning for solving ill-posed dipole inversion in quantitative susceptibility mapping
QMR Lucca workshop; Lucca, Italy; October 2022.
Z. Xiong, Y. Gao, H. Sun*
Swin-QSM: Quantitative susceptibility mapping using Swin-Transformer
QMR Lucca workshop; Lucca, Italy; October 2022.
Y. Gao, T. Ding, M.A. Cloos, H. Sun*
QSM extraction from MRF acquisitions through deep neural networks
QMR Lucca workshop; Lucca, Italy; October 2022.
D. Nakhid, C. McMorris, H. Sun, W.B. Gibbard, C. Tortorelli, C. Lebel
Magnetic susceptibility and anxiety symptoms in children with and without prenatal alcohol exposure
OHBM; Glasgow; 2022.
Y. Gao, Z. Xiong, A. Fazlollahi, P.J. Nestor, V. Vegh, G.B. Pike, S. Crozier, F. Liu, H. Sun*
QSM from the raw phase using an end-to-end neural network
ISMRM; London; May 2022.
X. Zhu, Y. Gao, F. Liu, S. Crozier, H. Sun*
A deep learning-based background field removal method for brains containing high susceptibility sources
ISMRM; London; May 2022.
Z. Xiong, Y. Gao, S. Bollmann, H. Sun*
A deep learning dipole inversion method for QSM of arbitrary head orientation and image resolution
ISMRM; London; May 2022.
Q. Shafqat, R. Muhammed, H. Sun, Y. Wu, A.M. Hamilton, M. Hashem, J.F. Dunn
Decrease in magnetic susceptibility correlates with reduction in cortical blood flow in a model of systemic inflammation: A 9.4T in-vivo study
ISMRM; London; May 2022.
S. Shan, Y. Gao, P. Liu, B. Whelan, D. Waddington, H. Sun, F. Liu, P. Keall
DFReconNet: Distortion Free Image Reconstruction using Deep Neural Network for MRI-Linac
ISMRM; London; May 2022.
S. Shan, Y. Gao, P. Liu, T. Reynolds, B. Dong, H. Sun, M. Li, G. Liney, F. Liu, P. Keall, D. Waddington
Motion-corrected Image Reconstruction with Unrolling Networks on an MRI-Linac
American Association of Physicists in Medicine (AAPM); Washington; 2022.
Z. Xiong, Y. Gao, H. Sun*
Deep learning QSM for acquisitions of arbitrary orientation
ISMRM ANZ Chapter; online; Nov 2021.
Y. Gao, F. Liu, H. Sun*
Universal QSM Reconstruction from Raw Phase using Deep Neural Networks
ISMRM ANZ Chapter; online; Nov 2021.
Y. Gao, S. Crozier, F. Liu, H. Sun*
Accelerating QSM using Compressed Sensing and Deep Neural Network
ISMRM; Vancouver; 2021.
D. Nakhid, H. Sun, C. McMorris, C. Lebel
Brain Volume and Susceptibility Differences in Children with Prenatal Alcohol Exposure
International Society for Developmental Psychobiology; Rockville; 2020.
H. Sun, M.E. MacDonald, R.M. Lebel, G.B. Pike
Simultaneous T1-weighted imaging, R2* mapping, and QSM from a multi-echo MPRAGE sequence using a radial fan-beam sampling scheme at 3 Tesla
ISMRM; Sydney; 2020.
Y. Gao, X. Zhu, S. Crozier, F. Liu, H. Sun*
xQSM: a deep learning QSM network using Octave Convolution
ISMRM; Sydney; 2020.
X. Zhu, Y. Gao, F. Liu, S. Crozier, H. Sun*
Robust deep grey matter QSM from small brain coverages using a deep learning-based method
ISMRM; Sydney; 2020.
X. Liu, J. Wang, F. Tang, H. Sun, F. Liu, S. Crozier
Rapid Region-of-Interest MRI Reconstruction Using Context-Aware Non-Local U-Net
ISMRM; Sydney; 2020.
A. De, H. Sun, K.C. Butcher, A.H. Wilman
Application of Fourier-domain Analysis Based Unwrapping Technique in Quantitative Susceptibility Mapping (QSM) of Intracerebral Hemorrhage
ISMRM; Sydney; 2020.
S. Scott, M.E. MacDonald, D. Rajashekar, W-Q Liu, H. Sun, G.B. Pike
Clustering Analysis of Multiple Sclerosis Lesions with T1-&T2-weighted, Diffusion, Quantitative Susceptibility Mapping, and Magnetization Transfer Ratio Imaging
OHBM; Montreal; 2020.
Y. Ma, E.L. Mazerolle, J. Cho, H. Sun, Y. Wang, G.B. Pike
Quantification of Cerebral Oxygen Extraction Fraction (OEF) Using QSM with a Hyperoxic Challenge
OHBM; Montreal; 2020.
H. Sun, F. Liu, S. Crozier
Differentiating hemorrhage, calcification, and edema of glioblastoma using quantitative susceptibility mapping (QSM)
AUS MR in RT workshop; Noosa; 2019.
J.O. Cleary, H. Sun, R. Glarin, S.C. Kolbe, R.J. Ordidge, B.A. Moffat, G.B. Pike
Extracting more for less at Ultra High Field: Multi-echo MP2RAGE for simultaneous T1-weighted imaging, T1 mapping, R2* mapping, SWI, and QSM in a single acquisition
British Society of Neuroradiologists Annual Meeting; Cardiff; 2019.
Y. Gao, X. Zhu, S. Bollmann, M. Barth, S. Crozier, F. Liu, H. Sun*
OctQSM: A deep learning QSM method with Octave convolution
QSM workshop; Seoul; 2019.
X. Zhu, Y. Gao, S. Bollmann, M. Barth, F. Liu, S. Crozier, H. Sun*
Comparison of Conventional and Learning Based QSM on Spatial Coverage Effect
QSM workshop; Seoul; 2019.
H. Sun, M.E. MacDonald, E.L. Mazerolle, K. Sabourin, G.B. Pike
Localization of GPi for MRgFUS pallidotomy: a comparison between high-resolution FGATIR, R2* and QSM at 3 T
ISMRM; Montreal; 2019.
Y. Ma, H. Sun, J. Cho, E.L. Mazerolle, Y. Wang, G.B. Pike
Whole-brain OEF quantification: a comparison study between QSM and dual-gas calibrated BOLD
ISMRM; Montreal; 2019.
A.M. Elkady, D. Cobzas, H. Sun, G. Blevins, P. Seres, A.H. Wilman
Five Year Changes in Iron and Myelin in Relapsing-Remitting Multiple Sclerosis Deep Gray Matter Compared to Healthy Controls
ISMRM; Montreal; 2019.
Z. Dai, S. Kalra, D. Mah, P. Seres, G. Yan, H. Sun, Z. Shen, R. Wu, A.H. Wilman
Amide proton transfer in amyotrophic lateral sclerosis
ISMRM; Montreal; 2019.
Z. Dai, H. Zhang, A.H. Wilman, H. Xu, G. Xiao, H. Sun, Y. Zhuang, Y. Jia, Z. Shen, G. Yan, R. Wu
Glutamate imaging in schizophrenia prodrome
ISMRM; Montreal; 2019.
M.E. MacDonald, W. Liu, S. Scott, C. Rockel, D. Rajashekar, J.L. Specht, H. Sun, G.B. Pike
White Matter Tract-Defined Lesion Loads in Relapsing-Remitting Multiple Sclerosis
ISMRM; Montreal; 2019.
H. Sun, G.B. Pike
Whole head quantitative susceptibility mapping using a least-norm direct dipole inversion method
Alberta Imaging Symposium; Foothills Medical Centre, Calgary; 2018.
S.E. Ha, R.G. Sah, H. Sun, P.A. Barber
Quantifying brain iron deposition in patients with Transient Ischemic Attack and Healthy Control using quantitative susceptibility mapping
HBI Summer Student Symposium; Calgary; 2018.
H. Sun, Y. Ma, M.E. MacDonald, J.O. Cleary, S. Kolbe, G.B. Pike
QSM of the Entire Head Using a Least-norm Direct Dipole Inversion Method
ISMRM Neuro Workshop; Seoul; 2018.
H. Sun, J.O. Cleary, R. Glarin, Y. Ma, K. O’Brien, S.C. Kolbe, B.A. Moffat, R.J. Ordidge, G.B. Pike
Multi-echo MP2RAGE at 7T enables simultaneous T1w, quantitative T1, T2* and QSM from a single acquisition
ISMRM Neuro Workshop; Seoul; 2018.
H. Sun, J.O. Cleary, R. Glarin, S.C. Kolbe, B.A. Moffat, R.J. Ordidge, G.B. Pike
Multi-channel phase combination for quantitative susceptibility mapping at 7T using Phase-Offsets Estimation from Multi-echoes (POEM) method
ISMRM; Paris; 2018.
H. Sun, J.O. Cleary, R. Glarin, Y. Ma, K. O’Brien, S.C. Kolbe, B.A. Moffat, R.J. Ordidge, G.B. Pike
Extracting more: Multi-echo MP2RAGE at 7T enables simultaneous T1w, quantitative T1, T2* and susceptibility mapping from a single acquisition
ISMRM; Paris; 2018.
A. De, H. Sun, A. Elkady, D.J. Emery, K. Butcher, A.H. Wilman
Rapid Quantitative Susceptibility Mapping of Intracranial Hemorrhage using Echo Planar Imaging
ISMRM; Paris; 2018.
A. De, H. Sun, A. Elkady, P. Seres, A.H. Wilman
Effects of Motion in Quantitative Susceptibility Mapping of Brain
ISMRM; Paris; 2018.
J.O. Cleary, H. Sun, R. Glarin, P. Yoo, B.A. Moffat, R.J. Ordidge, S.C. Kolbe
COSMOS for Estimating Variation in Single Orientation Quantitative Susceptibility Mapping of the Brain: An Ultra High Field Study
ISMRM; Paris; 2018.
A.M. Elkady, D. Cobzas, H. Sun, G. Blevins, A.H. Wilman
Discriminative Analysis of Regional Evolution of Iron and Myelin/Calcium in Deep Gray Matter of Multiple Sclerosis and Healthy Subjects
ISMRM; Paris; 2018.
R. Yang, A.M. Hamilton, H. Sun, R. Mirzaei, S. Sarkar, G.B. Pike, V.W. Yong, J.F. Dunn
Comparison of R2* and quantitative susceptibility mapping in the characterizing tumor hypoxia in a mouse model of glioblastoma
ISMRM; Paris; 2018.
P.B. Najafabadi, A. Klahr, H. Sun, A. Elkady, D.J. Emery, K. Butcher, A.H. Wilman
QSM in stroke: Veins, Tissue and Cerebral Microbleeds
ISMRM; Paris; 2018.
M.E. MacDonald, N.D. Forkert, A. Hanganu, Y. Ma, R.J. Williams, H. Sun, R. Stafford, C. McCreary, R. Frayne, G.B. Pike
Cerebrovascular Brain Aging Examined with Arterial Spin Labelling and Applied to Age Prediction
ISMRM; Paris; 2018.
H. Sun, Y. Ma, M.E. MacDonald, G.B. Pike
Tikhonov regularization aided quantitative susceptibility mapping of whole brain without background field removal
ISMRM; Honolulu; 2017.
H. Sun, D.J. Emery, K. Butcher, A.H. Wilman
Quantitative Susceptibility Mapping of Intracranial Hemorrhage: Time Evolution and Comparison to CT
ISMRM; Honolulu; 2017.
A.M. Elkady, D. Cobzas, H. Sun, G. Blevins, A.H. Wilman
Progressive Iron Accumulation in Multiple Sclerosis Phenotypes Revealed by Sparse Classification of Deep Gray Matter
ISMRM; Honolulu; 2017.
F. Schweser, W. Li, H. Sun, D. Zhou, N. Bertolino, P. Polak, Y. Wang, A.H. Wilman, K. Bredies, R. Zivadinov, S.D. Robinson
Quantitative comparison of background field elimination methods in a realistic numerical model
QSM workshop; Medical University of Graz, Austria; 2016.
H. Sun, M. Kate, L.C. Gioia, D.J. Emery, K. Butcher, A.H. Wilman
Time evolution of QSM in Intracranial Hemorrhage
QSM workshop; Medical University of Graz, Austria; 2016.
H. Sun, M.E. MacDonald, Y. Ma, G.B. Pike
Regularization-aided susceptibility inversion without background field removal
QSM workshop; Medical University of Graz, Austria; 2016.
M. Juhás, H. Sun, M.R.G. Brown, M.B. MacKay, J. Benoit, E. Dametto, A.H. Wilman, A.J. Greenshaw, S.M. Dursun
Brain Iron in Alcohol Use Disorder
Alberta Imaging Symposium; Foothills Medical Centre, Calgary; 2016.
S. Treit, H. Sun, P. Seres, A.H. Wilman, C. Beaulieu
Quantitative Susceptibility Mapping of White Matter Identified by Diffusion Tensor Tractography
OHBM; Geneva; 2016.
F. Schweser, W. Li, H. Sun, D. Zhou, N. Bertolino, P. Polak, Y. Wang, A.H. Wilman, K. Bredies, R. Zivadinov, S.D. Robinson
An illustrated comparison of background field elimination methods for phase MRI and QSM
ISMRM; Singapore; 2016.
H. Sun, M.E. MacDonald, G.B. Pike
Phase Correction of a Bipolar Gradient-Echo Acquisition for Quantitative Susceptibility Mapping
ISMRM; Singapore; 2016.
H. Sun, A.H. Wilman
Clinical Applications of Susceptibility Mapping in the Brain
6th Annual Graduate Research Symposium; University of Alberta, Edmonton; 2015.
H. Sun, P. Seres, A.H. Wilman
Subcortical Grey Matter Susceptibility Mapping from Standard fMRI studies
ISMRM; Toronto; 2015.
H. Sun, M. Kate, L.C. Gioia, D.J. Emery, K. Butcher, A.H. Wilman
Quantitative Susceptibility Mapping of Intracranial Hemorrhage: Artifacts Reduction
ISMRM; Toronto; 2015.
A.M. Elkady, H. Sun, A.H. Wilman
Limitations of Accelerated QSM by FOV Restriction to Deep Gray Matter
ISMRM; Toronto; 2015.
A.M. Elkady, H. Sun, A.J. Walsh, G. Blevins, Z. Dai, A.H. Wilman
Quantitative Susceptibility Mapping of Lesions in Multiple Sclerosis
ISMRM; Toronto; 2015.
D. Cobzas, H. Sun, A.J. Walsh, R.M. Lebel, G. Blevins, A.H. Wilman
Voxel-based analysis of subcortical grey matter using transverse relaxation and quantitative susceptibility mapping: application to multiple sclerosis
ISMRM; Toronto; 2015.
Z. Dai, Y. Jia, G. Yan, F. Duan, G. Xiao, Z. Shen, H. Sun, A.H. Wilman, R. Wu
pH-weighted imaging in diabetes mellitus suffering acute cerebral ischemic stroke
ISMRM; Toronto; 2015.
H. Sun, R. Topfer, A.H. Wilman
Quantitative susceptibility mapping using MRI
Canadian Graduate Engineering Consortium Recruiting Event; University of Alberta, Edmonton; 2014.
H. Sun, M. Kate, L.C. Gioia, D.J. Emery, K. Butcher, A.H. Wilman
QSM of intracranial hemorrhage: artifact reduction using a superposition method
QSM workshop; Duke University, Durham; 2014.
H. Sun, A.J. Walsh, R.M. Lebel, G. Blevins, I. Catz, J-Q. Lu, E.S. Johnson, D.J. Emery, K.G. Warren, A.H. Wilman
Postmortem validation of quantitative susceptibility mapping for subcortical gray matter iron quantification in multiple sclerosis
Alberta endMS Retreat; Banff, Alberta; 2014.
H. Sun, A.H. Wilman
Echo-Planar Susceptibility Mapping
ISMRM; Milan; 2014.
H. Sun, V.V. Divekar, M. Kate, L.C. Gioia, C.A. Baron, C. Beaulieu, D.J. Emery, K. Butcher, A.H. Wilman
Quantitative Susceptibility Mapping of Intracranial Hemorrhage: Clinical Results and Numerical Simulation
ISMRM; Milan; 2014.
H. Sun, A.H. Wilman
Quantitative susceptibility mapping (QSM): methods and applications to the brain
Alberta Imaging Symposium; University of Alberta, Edmonton; 2014.
H. Sun, A.H. Wilman
Brain iron mapping in a few seconds using MRI
5th Annual Graduate Research Symposium; University of Alberta, Edmonton; 2014.
H. Sun, A.J. Walsh, G. Blevins, J-Q. Lu, E.S. Johnson, K.G. Warren, A.H. Wilman
Susceptibility mapping development and application to brain iron in multiple sclerosis using postmortem studies
QSM workshop; Cornell University, Ithaca; 2013.
H. Sun, A.H. Wilman
Susceptibility imaging of the brain at high field
Alberta Imaging Symposium; Foothills Medical Centre, Calgary; 2013.
H. Sun, A.J. Walsh, K.G. Warren, G. Blevins, E.S. Johnson, J-Q. Lu, A.H. Wilman
Validation of QSM for brain iron mapping in multiple sclerosis using postmortem studies
QSM workshop; Cornell University, Ithaca; 2013.
R. Topfer, H. Sun, A.H. Wilman
Edge-Extended Harmonic Phase Processing Incorporating Priors
QSM workshop; Cornell University, Ithaca; 2013.
H. Sun, A.J. Walsh, R.M. Lebel, G. Blevins, I. Catz, J-Q. Lu, E.S. Johnson, D.J. Emery, K.G. Warren, A.H. Wilman
Validation of susceptibility mapping for quantification of iron in subcortical grey matter in multiple sclerosis
ISMRM; Salt Lake City; 2013.
H. Sun, A.H. Wilman
Susceptibility Mapping Using Regularization Enabled Harmonic Artifact Removal
ISMRM; Salt Lake City; 2013.
H. Sun, A.J. Walsh, K.G. Warren, G. Blevins, E.S. Johnson, J-Q. Lu, A.H. Wilman
Quantitative susceptibility mapping for multiple sclerosis using MRI
4th Annual Graduate Research Symposium; University of Alberta, Edmonton; 2013.
H. Sun, A.H. Wilman
Development of Quantitative susceptibility mapping
Canadian Graduate Engineering Consortium Recruiting Event; University of Alberta, Edmonton; 2013.
H. Sun, A.H. Wilman
Quantitative Susceptibility Mapping at 4.7T MRI
3rd Annual Graduate Research Symposium; University of Alberta, Edmonton; 2012.
H. Sun, A.H. Wilman
Quantitative Susceptibility Mapping from Multi-echo Gradient-echo Sequence at 4.7 T
Alberta Imaging Symposium; Foothills Medical Centre, Calgary; 2012.