Projects per year
Personal profile
Biography
Dr Zhaolin Chen completed his Ph.D. in MRI image reconstruction at Monash University. Subsequently, he was a postdoctoral fellow with the Florey Neuroscience Institutes and the University of Melbourne. He was then appointed as an imaging scientist with Philips Healthcare in Europe prior to joining Monash University.
Dr Chen's research interests include MRI and PET physics, image reconstruction, and image analysis for neuroscience and clinical applications. He particularly focuses on developing machine learning methods for these applications.
Dr Chen is also active in translating research outcomes into real-world applications. He has a number of patents implemented in medical imaging workflows.
Research interests
- Machine learning and deep learning-based medical imaging
- Methods development including acquisition and reconstruction for Magnetic Resonance Imaging and Positron Emission Tomography
- Multimodal imaging and data analysis including simultaneous MR-PET
Supervision interests
Accepting PhD students in the above research areas. I currently have scholarships and top-ups available.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Biophysics-informed deep learning framework for magnetic resonance imaging
Chen, Z., Egan, G., Law, M. & Shah, N.
1/01/22 → 31/12/24
Project: Research
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National Mobile Magnetic Resonance Imaging Network
Chen, Z., Egan, G., Pawar, K., Zhong, S., Morris, A., Barth, M., Dwyer, A., Verjans, J. W., Law, M. & Parizel, P. M.
Hyperfine Inc, University of Queensland , Alfred Hospital, Australian Stroke Alliance, Monash University – Internal University Contribution
1/01/22 → 30/06/23
Project: Research
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From simultaneous to synergistic MR-PET: integrative technologies for to image the ageing brain
Egan, G., Jamadar, S., Chen, Z., Premaratne, M., Fornito, A. & Shah, J.
17/01/19 → 31/12/22
Project: Research
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Advanced Diffusion Weighted Imaging Techniques and Quantitative Susceptibility Mapping in the Assessment of Motor Neurone Disease
Bhattarai, A., Chua, P., Chen, Z., Egan, G. & Talman, P.
3/09/18 → 2/09/19
Project: Research
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Quantitative simultaneous MR-PET imaging of dementia
National Chung Hsing University
19/05/16 → 18/05/18
Project: Research
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Frontostriatothalamic effective connectivity and dopaminergic function in the psychosis continuum
Sabaroedin, K., Razi, A., Chopra, S., Tran, N., Pozaruk, A., Chen, Z., Finlay, A., Nelson, B., Allott, K. A., Alvarez-Jimenez, M., Graham, J., Yuen, H. P., Harrigan, S., Cropley, V. L., Sharma, S., Saluja, B., Williams, R., Pantelis, C., Wood, S. J., O'Donoghue, B., & 4 others, Jan 2023, In: Brain. 146, 1, p. 372-386 15 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access4 Citations (Scopus) -
A robust volumetric Transformer for accurate 3D tumor segmentation
Peiris, H., Hayat, M., Chen, Z., Egan, G. & Harandi, M., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference Singapore, September 18–22, 2022 Proceedings, Part V. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Cham Switzerland: Springer, p. 162-172 11 p. (Lecture Notes in Computer Science; vol. 13435).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
3 Citations (Scopus) -
Auto-encoded latent representations of white matter streamlines for quantitative distance analysis
Zhong, S., Chen, Z. & Egan, G., 2022, In: NeuroInformatics. 20, p. 1105-1120 16 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Brain tumor segmentation using two-stage convolutional neural network for federated evaluation
Pawar, K., Zhong, S., Chen, Z. & Egan, G., 2022, Brainlesion: Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Crimi, A. & Bakas, S. (eds.). 1st ed. Cham Switzerland: Springer, p. 494-505 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12963 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement
Pain, C. D., Egan, G. F. & Chen, Z., 2022, In: European Journal of Nuclear Medicine and Molecular Imaging. 49, p. 3098-3118 21 p.Research output: Contribution to journal › Review Article › Research › peer-review
Open AccessFile6 Citations (Scopus)
Prizes
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The Douglas Lampard Research Prize and Medal
Chen, Zhaolin (Recipient), 2007
Prize: Prize (including medals and awards)
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WFNMB Best Poster Finalist
Chen, Zhaolin (Recipient), 2018
Prize: Prize (including medals and awards)
Activities
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Associate Editor - IEEE ISBI
Zhaolin Chen (Fellow)
2022 → 2023Activity: External Academic Engagement › Committees and working groups
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Frontiers in Neuroscience (Journal)
Zhaolin Chen (Editorial board member)
2020 → …Activity: Publication peer-review and editorial work types › Editorial responsibility
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PLoS ONE (Journal)
Zhaolin Chen (Editorial board member)
2019 → …Activity: Publication peer-review and editorial work types › Editorial responsibility
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MONASH UNIVERSITY (Organisational unit)
Kamlesh Pawar (Inventor), Zhaolin Chen (Inventor), Jon Shah (Inventor) & Gary Egan (Inventor)
21 Nov 2019Activity: Industry, Government and Philanthropy Engagement and Partnerships › Patents › Patent
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MONASH UNIVERSITY (Organisational unit)
Kamlesh Pawar (Inventor), Zhaolin Chen (Inventor), Jon Shah (Inventor) & Gary Egan (Inventor)
21 Nov 2019Activity: Industry, Government and Philanthropy Engagement and Partnerships › Patents › Patent
Press/Media
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Communities in regional Australia to benefit from world’s first mobile magnetic resonance imaging network
20/12/22
1 Media contribution
Press/Media: Article/Feature