Scholar
Zhaolin Chen
Google Scholar ID: wM9Y-I0AAAAJ
Associate Professor in Medical Imaging, Monash University
Citations & Impact
Citations
4,681
H-index
28
i10-index
44
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Led a successful MRFF survivorship grant (~2M) led by Prof Karen Caeyenberghs, leading the Monash team on the GenAI and ULF MRI program; Himashi won the 'Douglas Lampard Prize and Medal' for Best PhD thesis; Mevan received his PhD; Tohid gave an ISMRM power pitch presentation; Sanuwani and Mevan presented orally at the WACV conference; Became President for ISMRM ANZ (2025); Mevan won the Innovation Award at the 2023 VHI Summit; Himashi won the VBIC 2023 Early Career Researcher Award; Led a multi-institute grant application funded by the Australian National Imaging Facility to establish a National Point of Care Mobile MRI network; Viswanath received the prestigious 'Naik and Rastogi Award for Excellence in Ph.D. Research' for the years 2019-2021; Viswanath successfully defended his PhD; Participated in a successful ARC DP project on Biophysics-informed deep learning framework for magnetic resonance imaging; Part of the A RDC, Australian Cancer Data Network: distributed learning from clinical data project; Viswanath won the 2020 ISMRM Magna award.
Research Experience
- President of ISMRM ANZ (2025), member of the ISMRM annual meeting committee (2018-2021), Area Chair for IEEE ISBI (since 2022). Affiliated with several organizations including IEEE EMBC, Society for Neuroscience, SNMMI, MICCAI, and ACM.
Background
- An Associate Professor in medical imaging, currently holding an Australian Research Council Industry Fellow. Main research areas include machine learning and deep learning-based medical imaging (including Generative Models), methods development for Magnetic Resonance Imaging and Positron Emission Tomography (acquisition and reconstruction), and multimodal biomedical imaging and data analysis.
Miscellany
- Reviews for top-tier journals such as Nature Communications, Science, and Nature Biomedical Engineering, as well as a broad range of journals in biomedical imaging and image processing.
Co-authors