Projects per year
Personal profile
Biography
Dr Zhaolin Chen is currently an Associate Professor at the Department of Data Science and AI, Faculty of Information Technology, Monash University, Australia. He completed his PhD in the Biomedical Imaging field at the Faculty of Engineering, Monash University. His PhD work was awarded the ‘Douglas Lampard Research Prize and Medal’. He was then Research Fellow at the University of Melbourne and Florey Neuroscience Institutes, and a staff scientist in the medical imaging device industry in Europe.
Dr Chen is currently an Australian Research Council MCR Industry Fellow, and he has led the establishment of the first Australian Point of Care MRI network at National Imaging Facility. He provides leadership at Monash Biomedical Imaging in image analysis. He was Associate Editor for IEEE International Symposium on Biomedical Imaging (ISBI) 2022 and 2023 conferences, a program committee member for the International Society for Magnetic Resonance in Medicine (ISMRM) (’18-‘21), previously a co-organiser of ISMRM-MICCAI workshops.
Dr Chen has an internationally recognised track record of achievement and research outputs with real-world impacts - He is the author & co-author of more than 100 peer reviewed publications/books/book chapters with recent publications in Nature Machine Intelligence, EJNMMI, NeuroImage, Medical Image Analysis, Brain, IEEE TNNLS, MRM, JMRI. According to SciVal 2021, 90% of his publications are in the top 10% of journals across all disciplines. He has five papers in the top 10% most cited in 2021 worldwide. Furthermore, he has made translational impacts with ten patents, five of which are commercialised in the current generation of medical imaging devices. He was a Network Expert for the US FDA (’20-‘21).
Dr Chen has secured over $8M in research funding and he holds leadership roles in major projects - five as Primary Chief Investigator out of total seven current projects; ~70% of total funding received as Primary Chief Investigator, including ARC Discovery Project 'Biophysics-informed deep learning framework for magnetic resonance imaging'.
Dr Chen is dedicated to the supervision and mentorship of PhD candidates and junior academics - his PhD students have been awarded Cum Laude at ISMRM, won Visualised Your Thesis challenge at Monash, prestigious university level best PhD thesis award, international MICCAI challenge winner, and highly competitive VBIC Early Career Award.
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.
Community service
- President Elect, ANZ Chapter, International Society for Magnetic Resoance in Medicine, 2024 -
- Area Chair, IEEE International Symposium on Biomedical Imaging, 2021 -
- Program committee, International Society for Magnetic Resoance in Medicine, 2018 - 2020
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):
Collaborations and top research areas from the last five years
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Development of multi-modal biomedical imaging using AI: Artificial intelligence empowered multi-modal biomedical imaging
Chen, Z. (Primary Chief Investigator (PCI))
Australian Research Council (ARC)
1/02/24 → 31/01/28
Project: Research
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Biophysics-informed deep learning framework for magnetic resonance imaging
Chen, Z. (Primary Chief Investigator (PCI)), Egan, G. (Chief Investigator (CI)), Law, M. (Chief Investigator (CI)) & Shah, N. (Partner Investigator (PI))
1/01/22 → 31/12/25
Project: Research
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National Mobile Magnetic Resonance Imaging Network
Chen, Z. (Primary Chief Investigator (PCI)), Egan, G. (Chief Investigator (CI)), Pawar, K. (Chief Investigator (CI)), Zhong, S. (Chief Investigator (CI)), Morris, A. (Chief Investigator (CI)), Barth, M. (Chief Investigator (CI)), Dwyer, A. (Chief Investigator (CI)), Verjans, J. W. (Chief Investigator (CI)), Law, M. (Chief Investigator (CI)) & Parizel, P. M. (Chief Investigator (CI))
Hyperfine Inc, University of Queensland , Alfred Hospital, Australian Stroke Alliance Limited, Monash University – Internal University Contribution
1/01/22 → 30/06/23
Project: Research
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Integrative brain imaging technologies
Egan, G. (Primary Chief Investigator (PCI)), Jamadar, S. (Chief Investigator (CI)), Chen, Z. (Chief Investigator (CI)), Premaratne, M. (Chief Investigator (CI)), Fornito, A. (Chief Investigator (CI)) & Shah, J. (Partner Investigator (PI))
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. (Primary Chief Investigator (PCI)), Chua, P. (Supervisor), Chen, Z. (Supervisor), Egan, G. (Supervisor) & Talman, P. (Supervisor)
3/09/18 → 2/09/19
Project: Research
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CL-MRI: self-supervised contrastive learning to improve the accuracy of undersampled MRI reconstruction
Ekanayake, M., Chen, Z., Harandi, M., Egan, G. & Chen, Z., Feb 2025, In: Biomedical Signal Processing and Control. 100, 12 p., 107185.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Correlations between MR apparent diffusion coefficients and PET standard uptake values in simultaneous MR_PET imaging of prostate cancer
Pozaruk, A., Atamaniuk, V., Pawar, K., Carey, A., Cheng, J., Cholewa, M., Grummet, J., Chen, Z. & Egan, G., 2025, In: International Journal of Molecular Sciences. 26, 3, 13 p., 905.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
A dynamic weights-based wavelet attention neural network for defect detection
Liu, J., Zhao, H., Chen, Z., Wang, Q., Shen, X. & Zhang, H., Nov 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 11, p. 16211-16221 11 p.Research output: Contribution to journal › Article › Research › peer-review
14 Citations (Scopus) -
An adaptive parameter decoupling algorithm-based image reconstruction model (ADAIR) for rapid golden-angle radial DCE-MRI
Chen, Z., Yuan, Z., Cheng, J., Liu, J., Liu, F. & Chen, Z., 18 Oct 2024, In: Physics in Medicine and Biology. 69, 21, 17 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Artificial Sparsity Enhanced Deep Learning BUDA Imaging Enables Rapid and Distortion-corrected High-Resolution 3D-EPI and QSM
Chen, Z., Jin, J., McIntyre, R., O’Brien, K., Stäb, D., Law, M. & Chen, Z., 2024, p. 2.Research output: Contribution to conference › Abstract › peer-review
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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MONASH UNIVERSITY (Organisational unit)
Pawar, K. (Inventor), Chen, Z. (Inventor), Shah, J. (Inventor) & Egan, G. (Inventor)
21 Nov 2019Activity: Industry, Government and Philanthropy Engagement and Partnerships › Patents › Patent
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MONASH UNIVERSITY (Organisational unit)
Pawar, K. (Inventor), Chen, Z. (Inventor), Shah, J. (Inventor) & Egan, G. (Inventor)
21 Nov 2019Activity: Industry, Government and Philanthropy Engagement and Partnerships › Patents › Patent
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PLoS ONE (Journal)
Zhaolin Chen (Editorial board member)
2019 → …Activity: Publication peer-review and editorial work types › Editorial responsibility
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