Talks¶
Invited & Keynote Talks¶
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¶
Training-free medical image inverses via bi-level guided diffusion models
WACV; Tucson, Arizona; Mar. 2025
Fast Controllable Diffusion Models for Undersampled MRI Reconstruction
ISBI; Athens, Greece; May 2024
MR image super-resolution via a variational diffusion model
ISMRM; Toronto; Jun. 2023
MRI reconstruction using DDPM with sparsely sampled k-space as guidance
ISMRM; Toronto; Jun. 2023
MRF-mixer: a self-supervised deep learning MRF framework
ISMRM; Toronto; Jun. 2023
Unsupervised Multi-task learning for solving ill-posed dipole inversion in QSM
QMR Workshop; Lucca, Italy; Oct. 2022
QSM extraction from MRF acquisitions through deep neural networks
QMR Workshop; Lucca, Italy; Oct. 2022
QSM from the raw phase using an end-to-end neural network
ISMRM; London; May 2022 (Magna Cum Laude Merit Award)
A deep learning-based background field removal method for brains with high susceptibility sources
ISMRM; London; May 2022
Accelerating QSM using Compressed Sensing and Deep Neural Network
ISMRM; Vancouver; May 2021
xQSM: a deep learning QSM network using Octave Convolution
ISMRM; Sydney; Apr. 2020
Differentiating hemorrhage, calcification, and edema of glioblastoma using QSM
AUS MR in RT Workshop; Noosa; 2019
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)
An illustrated comparison of background field elimination methods for phase MRI and QSM
ISMRM; Singapore; May 2016
Subcortical Grey Matter Susceptibility Mapping from Standard fMRI studies
ISMRM; Toronto; Jun. 2015
Quantitative Susceptibility Mapping of Lesions in Multiple Sclerosis
ISMRM; Toronto; Jun. 2015
QSM of intracranial hemorrhage: Artifact reduction using a superposition method
QSM Workshop; Duke Univ., Durham; Oct. 2014
Quantitative Susceptibility Mapping of Intracranial Hemorrhage: Clinical Results and Numerical Simulation
ISMRM; Milan; May 2014 (Magna Cum Laude Merit Award)
Echo-Planar Susceptibility Mapping: QSM using single-shot gradient EPI
ISMRM; Milan; May 2014 (Summa Cum Laude Merit Award)
Susceptibility mapping development and application to brain iron in MS postmortem studies
QSM Workshop; Cornell Univ., Ithaca; Oct. 2013
Susceptibility mapping using Tikhonov regularization enabled harmonic artifact removal
ISMRM; Salt Lake City; Apr. 2013 (Summa Cum Laude Merit Award)