Talks¶

Invited & Keynote Talks¶

AI methods in QSM

ISMRM EMPT Workshop, Annapolis, USA; Sept 2026

An overview of current deep learning approaches in QSM

ISMRM EMPT Virtual Workshop — Plenary presentation; Dec 2025

A history of medical imaging

Newcastle Grammar School Medical Engineering Program outreach; Sept 2024

Quantitative MRI using deep learning methods

Invited Visit to Monash Biomedical Imaging Centre, Monash University; July 2024

Quantitative MRI and AI applications

Brain Neuromodulation Research Program’s Annual Symposium, HMRI; June 2024

Medical imaging instruments for disease diagnosis, monitoring, and treatment

Guest Lecture for MENG4100: Implants and Assistive Technologies, University of Newcastle; May 2024

Diffusion probabilistic models for MRI inverse problems

Australian 7T Network (online); Sept 2023

Decoding magnetic resonance fingerprints with AI

UQ Artificial Intelligence Collaboratory Workshop; Nov 2022

Overview of QSM and deep learning for QSM

ISMRM ANZ QSM Virtual Workshop — Plenary presentation; Sept 2022

Quantitative MRI of the brain with deep learning

EMCR Informal Talks, 1st Meeting, School of ITEE, University of Queensland; July 2022

Fast QSM: Accelerated acquisition and instant reconstruction

Centre for Advanced Imaging Annual Symposium 2021, Queensland Brain Institute, Brisbane — Plenary presentation; Nov 2021

Deep learning for MRI acceleration reconstruction

Pattern Recognition and Analysis (COMP3710), University of Queensland, Brisbane; Oct 2021

Advances in New MRI Methods for Human Brain-Quantitative Susceptibility Mapping

University of Queensland, Brisbane; Nov 2018

Whole head quantitative susceptibility mapping using a least-norm direct dipole inversion method

Alberta Imaging Symposium, Foothills Medical Centre, Calgary; June 2018

Quantitative Susceptibility Mapping at high field and ultra-high field MRI

CAI academic visit, Centre for Advanced Imaging, University of Queensland, Brisbane, Australia; June 2017

Quantitative Susceptibility Mapping: reconstruction advances

CSIRO academic visit, Commonwealth Scientific and Industrial Research Organisation, Brisbane, Australia; June 2017

Brain iron imaging using MRI Quantitative Susceptibility (QSM)

DNDR Seminar Series, The Florey Institute of Neuroscience and Mental Health, University of Melbourne; June 2017

Quantitative Susceptibility Mapping: Image Reconstruction

CFMM Ultra High Field Winter School, Robarts Research Institute, University of Western Ontario, London; March 2017

Brain Iron and Myelin Study Using Quantitative Susceptibility Mapping

NSERC CREATE I3T Advanced Imaging Seminar Series, Foothills Medical Centre, Calgary; Nov 2016

Methods and Applications of Quantitative Susceptibility Mapping

Radiology Research Day, Cumming School of Medicine, Foothills Medical Centre, Calgary — Plenary presentation; June 2016

Postmortem validation of QSM for subcortical GM iron quantification in MS

Alberta endMS Retreat: Four Pillars of Multiple Sclerosis Research, Banff, Alberta; Sept 2014

Quantitative Susceptibility Mapping (QSM): Methods and Applications to the Brain

Alberta Imaging Symposium, University of Alberta, Edmonton; June 2014

Susceptibility imaging of the brain at high field

Alberta Imaging Symposium, Foothills Medical Centre, Calgary; June 2013

Selected Oral Presentations¶

W. Jiang, T. Ding, H. Chen, W. Song, Z. Xiong, Y. Gao, N. Ye, F. Liu, H. Sun*

Self-Supervised Representation Learning of Brain MRI Using DINOv3: From Anatomical Features to Cross-Domain Generalization

ISMRM; Cape Town; May 2026

Z. Chen, Z. Xu, J. Cheng, S. Shan, Z. Yuan, Y. Wang, M. Jiang, G. Zheng, T. Quan, J. Xu, L. Xia, F. Liu, X. Liang, H. Sun*

BUDA-iQSM+: BUDA Imaging and Deep Learning iQSM+ Enables Rapid and Robust Distortion-free High-Resolution QSM

ISMRM; Cape Town; May 2026

T. Ding, H. Chen, Y. Gao, F. Liu, M.A. Cloos, H. Sun*

Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting

ISBI; London, UK; April 2026

H. Askari, Y. Luo, H. Sun*, F. Roosta

Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving

NeurIPS; San Diego; December 2025

H. Askari, F. Roosta, H. Sun*

Training-free medical image inverses via bi-level guided diffusion models

WACV; Tucson, Arizona; Mar. 2025

W. Jiang, Z. Xiong, N. Ye, H. Sun*

Fast Controllable Diffusion Models for Undersampled MRI Reconstruction

ISBI; Athens, Greece; May 2024

W. Jiang, Y. Gao, H. Sun*

MR image super-resolution via a variational diffusion model

ISMRM; Toronto; Jun. 2023

W. Jiang, Y. Gao, H. Sun*

MRI reconstruction using DDPM with sparsely sampled k-space as guidance

ISMRM; Toronto; Jun. 2023

Y. Gao, T. Ding, M.A. Cloos, H. Sun*

MRF-mixer: a self-supervised deep learning MRF framework

ISMRM; Toronto; Jun. 2023

Z. Xiong, Y. Gao, H. Sun*

Unsupervised Multi-task learning for solving ill-posed dipole inversion in QSM

QMR Workshop; Lucca, Italy; Oct. 2022

Y. Gao, T. Ding, M.A. Cloos, H. Sun*

QSM extraction from MRF acquisitions through deep neural networks

QMR Workshop; Lucca, Italy; Oct. 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 (Magna Cum Laude Merit Award)

X. Zhu, Y. Gao, F. Liu, S. Crozier, H. Sun*

A deep learning-based background field removal method for brains with high susceptibility sources

ISMRM; London; May 2022

Y. Gao, S. Crozier, F. Liu, H. Sun*

Accelerating QSM using Compressed Sensing and Deep Neural Network

ISMRM; Vancouver; May 2021

Y. Gao, X. Zhu, S. Crozier, F. Liu, H. Sun*

xQSM: a deep learning QSM network using Octave Convolution

ISMRM; Sydney; Apr. 2020

H. Sun, F. Liu, S. Crozier

Differentiating hemorrhage, calcification, and edema of glioblastoma using QSM

AUS MR in RT Workshop; Noosa; 2019

H. Sun, M.E. MacDonald, E.L. Mazerolle, K. Sabourin, G.B. Pike

Localization of GPi for MRgFUS pallidotomy: a comparison between FGATIR, R2*, and QSM at 3 T

ISMRM; Montreal; May 2019 (Magna Cum Laude Merit Award)

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; May 2016

H. Sun, P. Seres, A.H. Wilman

Subcortical Grey Matter Susceptibility Mapping from Standard fMRI studies

ISMRM; Toronto; Jun. 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; Jun. 2015

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 Univ., Durham; Oct. 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; May 2014 (Magna Cum Laude Merit Award)

H. Sun, A.H. Wilman

Echo-Planar Susceptibility Mapping: QSM using single-shot gradient EPI

ISMRM; Milan; May 2014 (Summa Cum Laude Merit Award)

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 MS postmortem studies

QSM Workshop; Cornell Univ., Ithaca; Oct. 2013

H. Sun, A.H. Wilman

Susceptibility mapping using Tikhonov regularization enabled harmonic artifact removal

ISMRM; Salt Lake City; Apr. 2013 (Summa Cum Laude Merit Award)