Projects per year
Personal profile
Biography
Dr Sidong Liu is a Senior Research Fellow at the Australian Institute of Health Innovation (AIHI), Macquarie University. He graduated from the Harbin Institute of Technology (HIT), a member of China’s elite C9 League, where he received his Bachelor’s Degree in Bioinformatics. His academic pursuit continued at the University of Sydney (USYD), where he obtained two Master's Degrees in Bioinformatics and Computer Science, respectively.
In 2011, he was awarded the USYD International Scholarship (USydIS), which enabled him to commence his PhD research on health informatics and artificial intelligence (AI) under the supervision of Professors Tom Weidong Cai and David Dagan Feng. In 2014, sponsored by an AADRF Top-up Scholarship and a SUGUNA Alumni Scholarship, he spent a year at the Surgical Planning Laboratory (SPL), Harvard Medical School as a research trainee under the mentorship of Professor Ron Kikinis.
Following his PhD, Dr Liu worked as a research associate and fellow at various departments of USYD, including the School of Computer Science (SCS), the Brain and Mind Centre (BMC) and the Save Sight Institute (SSI), from 2015 to 2018.
In 2019, he received an NHMRC Early Career Fellowship and joined Macquarie University. At Macquarie University, Dr Liu established and has been leading a research stream - AI for Precision Medicine within AIHI. His contributions to AI in Healthcare were acknowledged with multiple prestigious awards, such as the 2021 Macquarie University Early Career Researcher of the Year Award (STEMM Category), and the 2021 AIHI Researcher of the Year Award (Health Informatics).
If you are keen to explore research opportunities with Dr Liu, particularly in the fields of health informatics and AI, please reach out directly via email at sidong dot liu at mq dot edu dot au.
Education/Academic qualification
Computer Science, PhD, Multimodal Neuroimaging Computing for Characterization of Neurodegenerative Disorders, The University of Sydney
Award Date: 31 Oct 2015
Radiology, Radiology Research Trainee, Tractography Editing Toolkit for Neurosurgery Planning and Connectome Analysis, Brigham and Women's Hospital and Harvard Medical School
Award Date: 28 Feb 2015
Computer Science, Master of Information Technology, Localized Content-based Retrieval of Neurological Images, The University of Sydney
Award Date: 30 Nov 2009
Bioinformatics , Master of Applied Science, Interactive Framework for Functional Brain Imaging Data Modeling and Processing, The University of Sydney
Award Date: 16 Dec 2008
Bioinformatics, Bachelor of Engineering, Harbin Institute of Technology
Award Date: 16 Jul 2007
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Collaborations and top research areas from the last five years
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To develop a multimodal AI model trained on mIF imaging and patient-specific clinical data to predict immunotherapy response
Rana, P. (Primary Chief Investigator) & Liu, S. (Chief Investigator)
1/07/25 → 31/12/25
Project: Research
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AI advisories for health professionals
Magrabi, F. (Primary Chief Investigator), Coiera, E. (Chief Investigator), Carter, S. (Chief Investigator), Blakely, B. (Chief Investigator), Aquino, Y. S. J. (Chief Investigator), Fraile Navarro, D. (Chief Investigator) & Liu, S. (Chief Investigator)
24/02/25 → …
Project: Consultancy
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Generative Artificial Intelligence for Synthetic Medical Imaging
Liu, S. (Primary Chief Investigator), Rana, P. (Chief Investigator), Cong, T. (Chief Investigator), Li, X. (Associate Investigator), Zhong, W. (Associate Investigator), Tabassum, M. (Associate Investigator) & Dorricott, P. (Other)
1/07/24 → 30/06/27
Project: Research
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Addressing the Key Computational Challenges in Digital Pathology
Cong, T. (Primary Chief Investigator), Liu, S. (Chief Investigator), Song, Y. (Chief Investigator) & Dorricott, P. (Other)
1/07/24 → 30/06/27
Project: Research
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VaxGuard: Combating Malicious AI-Generated Vaccine Misinformation Campaigns
Naseem, U. (Primary Chief Investigator), Dras, M. (Primary Chief Investigator), Beheshti, A. (Primary Chief Investigator), Lau, A. (Primary Chief Investigator) & Liu, S. (Primary Chief Investigator)
1/07/24 → 31/12/25
Project: Research
Research Outputs
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Adaptive clustering for EGFR amplification prediction in glioblastoma: a Variational Autoencoder-Dirichlet Bayesian Gaussian approach
Mehr, H. D., Cong, C., Noorani, I., Ieva, A. D. & Liu, S., 23 Jun 2025, Artificial Intelligence in Medicine: 23rd International Conference, AIME 2025, Proceedings, Part I. Bellazzi, R., Juarez Herrero, J. M., Sacchi, L. & Zupan, B. (eds.). Switzerland: Springer, Springer Nature, p. 88-97 10 p. (Lecture Notes in Artificial Intelligence; vol. 15734).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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ADSI-MIMO: adaptive stain imputation with multi-input and multi-output learning for multiplex immunofluorescence imaging
Li, X., Rana, P., N. Gide, T., Adegoke, N. A., Mao, Y., Berkovsky, S., Coiera, E., Wilmott, J. S. & Liu, S., 1 Jul 2025, (Submitted) 17 p. (bioRxiv The Preprint Server for Biology).Research output: Working paper › Preprint
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Computer vision methods under rapid evolution for pathology image tasks
Maher, N. G., Scolyer, R. A. & Liu, S., Jan 2025, In: Histopathology. 86, 2, p. 199-203 5 p.Research output: Contribution to journal › Editorial › peer-review
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Development of an open-source algorithm for automated segmentation in clinician-led paranasal sinus radiologic research
Darbari Kaul, R., Zhong, W., Liu, S., Azemi, G., Liang, K., Zou, E., Sacks, P.-L., Thiel, C., Campbell, R. G., Kalish, L., Sacks, R., Di Ieva, A. & Harvey, R. J., 27 May 2025, (E-pub ahead of print) In: Laryngoscope. 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Diagnostic accuracy of deep learning models in predicting glioma molecular markers: a systematic review and meta-analysis
Farahani, S., Hejazi, M., Moradizeyveh, S., Di Ieva, A., Fatemizadeh, E. & Liu, S., 21 Mar 2025, In: Diagnostics. 15, 7, p. 1-27 27 p., 797.Research output: Contribution to journal › Review article › peer-review
Open AccessFile28 Downloads (Pure)
Prizes
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AIHI Researcher of the Year (Health Informatics)
Liu, S. (Recipient), 7 Dec 2021
Prize: Honorary award
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BIH 2016 Best Paper Award
Liu, Sidong (Recipient) & Song, Yang (Recipient), 13 Oct 2016
Prize: Honorary award
Activities
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AI in Medical Image Computing
Sidong Liu (Invited speaker)
18 Jun 2023Activity: Talk or presentation › Invited talk
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International Conference on Nano Bio Intelligence
Sidong Liu (Participant)
15 Jun 2023 → 18 Jun 2023Activity: Participating in or organising an event › Organising a conference, workshop or event series
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AI in Digital Pathology and Neuroimaging for Brain Tumour Diagnosis
Sidong Liu (Speaker)
17 Aug 2022Activity: Talk or presentation › Presentation
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Artificial Intelligence in Medical Imaging
Sidong Liu (Invited speaker)
2 May 2022Activity: Talk or presentation › Invited talk
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Machine Learning in Medical Image Computing
Sidong Liu (Speaker)
18 Aug 2022Activity: Talk or presentation › Invited talk
Press/Media
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Brain cancer treatments to be revolutionised with artificial intelligence
17/03/21
1 Media contribution
Press/Media: Research
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THE LIGHTHOUSE - New precision pictures improve diagnosis and treatment of brain diseases
23/06/20
1 Media contribution
Press/Media: Research
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Sydney Genesis Program Enlight.AI System
19/01/19
1 item of Media coverage
Press/Media: Public Engagement Activities
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