I am an Associate Professor in medical imaging, and I currently hold an Australian Research Council Industry Fellow. [Monash Profile] [ORCID] [RG] [Google]
My main research areas:
Machine learning and deep learning-based medical imaging including Generative Models.
Methods development including acquisition and reconstruction for Magnetic Resonance Imaging and Positron Emission Tomography
Multimodal biomedical imaging and data analysis
I am affiliated with the following organisations:
President, ISMRM ANZ (25')
ISMRM annual meeting committee member (18-21')
Area Chair for IEEE ISBI (22'-).
Member of the following societies: (i) IEEE EMBC, (ii) Society for Neuroscience, (iii) SNMMI, (iv) MICCAI, (v) ACM
I review for top-tier journals including Nature Communications, Science, and Nature Biomedical Engineering, and a broad range of journals in biomedical imaging and image processing.
We are officially launching the ULF-EnC challenge at MICCAI 25!
Successful MRFF survivorship grant (~2M) led by Prof Karen Caeyenberghs. I will lead the Monash team on the GenAI and ULF MRI program.
Congratulations Himashi on winning the "Douglas Lampard Prize and Medal"! Best PhD thesis!
Congratulations on Mevan's PhD!
Congratulations on Tohid's ISMRM power pitch presentation!
Two oral presentations by Sanuwani and Mevan at WACV conference.
I am now President for ISMRM ANZ (2025).
Mevan has won the Innovation Award at 2023 VHI Summit.
Huge congrats to Himashi on winning VBIC 2023 Early Career Researcher Award!
Two competitive PhD scholarships are available right now: (i) explainable medical imaging in the sensor domain and (ii) Generative biomedical imaging. To apply, email me your CV, academic transcripts and publications and other supporting material. [filled]
I am now an Australian Research Council MCR Industry Fellow !!
Congratulations to Mevan Ekanayake on his ISMRM oral presentation on Contrastive Learning MRI and Magna award!
Congratulations to Mevan Ekanayake for winning Visualise Your Thesis at Monash University and will represent Monash to compete internationally in Oct 2022!
I lead a successful multi-institute grant application funded by Australian National Imaging Facility to establish a National Point of Care Mobile MRI network.
An imaging scientist position is available to apply [Position filled]
Congratulations Viswanath on receiving the prestigious award, the "Naik and Rastogi Award for Excellence in Ph.D. Research" for the year 2019-2021!!
Two new PhD scholarship opportunities !! [link] [filled]
Congratulations Viswanath on a successful PhD defence seminar - excellent work fully recognised by accessors!!
My webinar on Machine learning for biomedical image reconstruction. [link]
Successful ARC DP project on Biophysics-informed deep learning framework for magnetic resonance imaging (# DP210101863) !!
Great to be part of this successful grant - ARDC, Australian Cancer Data Network: distributed learning from clinical data.
Congratulations on Viswanath's 2020 ISMRM Magna award!
A list of my publications are HERE.
