• 655 Citations
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Personal profile


Sidong Liu is a biomedical informatician and computer scientist, currently based at the Department of Clinical Medicine and Australian Institute of Health Innovation, Macquarie University as a NHMRC Early Career Fellow. He obtained his Bachelor’s degree in Biological Information Technology from Harbin Institute of Technology (HIT), which is a member of the China’s elite C9 League. After graduation from HIT, he further pursued postgraduate study in Bioinformatics and Computer Science in the University of Sydney, and was awarded the Master of Applied Science in Bioinformatics and the Master of Information Technology in Computer Science in 2009 and 2010, respectively. In 2011, he was awarded the highly competitive University of Sydney International Scholarship (USydIS), and started to carry out research on biomedical informatics and artificial intelligence with Professor Weidong Cai and Professor Dagan Feng at School of IT, University of Sydney. In the 4th year of his PhD (2014), he spent one year at the Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School as a research trainee, and received advanced training in medical image computing under the supervision of Professor Ron Kikinis. After his PhD, he worked at the Brain and Mind Centre and Save Sight Institute, University of Sydney for two years as a postdoctoral research fellow. These experiences positioned him in a clinical environment and enhanced his capability in translational research. Dr Sidong Liu is committed to delivering advanced information technologies to the medical research field, and translating the research outputs into clinical applications. 

Education/Academic qualification

Computer Science, PhD, University of Sydney

Mar 2011Oct 2015

Computer Science, Master of IT, University of Sydney

Feb 2009Dec 2009

Bioinformatics, Master of Applied Science, University of Sydney

Feb 2008Dec 2008

Bioinformatics, Bachelor, Harbin Institute of Technology

Sep 2003Jul 2007

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Neuroimaging Engineering & Materials Science
Image retrieval Engineering & Materials Science
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Semantics Engineering & Materials Science
Alzheimer Disease Medicine & Life Sciences
Multiple Sclerosis Medicine & Life Sciences
Neurodegenerative Diseases Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2019 2022

Research Outputs 2010 2019

Demyelination precedes axonal loss in the transneuronal spread of human neurodegenerative disease

You, Y., Joseph, C., Wang, C., Gupta, V., Liu, S., Yiannikas, C., Chua, B., Chitranshi, N., Shen, T., Dheer, Y., Invernizzi, A., Borotkanics, R., Barnett, M., Graham, S. L. & Klistorner, A., 1 Feb 2019, In : Brain; a journal of neurology. 142, 2, p. 426-442 17 p.

Research output: Contribution to journalArticleResearchpeer-review

Demyelinating Diseases
Neurodegenerative Diseases
Myelin Sheath

Differing structural and functional patterns of optic nerve damage in multiple sclerosis and neuromyelitis optica spectrum disorder

Shen, T., You, Y., Arunachalam, S., Fontes, A., Liu, S., Gupta, V., Parratt, J., Wang, C., Barnett, M., Barton, J., Chitranshi, N., Zhu, L., Fraser, C. L., Graham, S. L., Klistorner, A. & Yiannikas, C., Mar 2019, In : Ophthalmology. 126, 3, p. 445-453 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Neuromyelitis Optica
Optic Nerve
Multiple Sclerosis
Visual Evoked Potentials

A deep learning-based algorithm identifies glaucomatous discs using monoscopic fundus photographs

Liu, S., Graham, S. L., Schulz, A., Kalloniatis, M., Zangerl, B., Cai, W., Gao, Y., Chua, B., Klistorner, A. & You, Y., 15 Jul 2018, In : Ophthalmology Glaucoma. 1, 1, p. 15-22 8 p.

Research output: Contribution to journalArticleResearchpeer-review

Artificial Intelligence
Confidence Intervals
Sensitivity and Specificity

A deep learning based semantic segmentation framework for multiple sclerosis in MRI

Song, Y., Liu, S., Zhang, C., Lill, S., Wang, C., Gao, Y., Tang, Z., You, Y., Klistorner, A., Barnett, M. & Cai, W., Oct 2018, In : Multiple Sclerosis Journal. 24, 2 Supplement, p. 861-2 2 p., EP1522.

Research output: Contribution to journalMeeting abstractResearchpeer-review

Alteration of visual cortical microstructure is associated with pathology along the optic radiation in patients with MS: an asymmetry analysis of posterior visual pathway

Wang, C., Klistorner, A., Barton, J., Beadnall, H., Ly, L., Liu, S., Garber, J., Reddel, S. & Barnett, M., Oct 2018, In : Multiple Sclerosis Journal. 24, 2 Supplement, p. 223 1 p., P496.

Research output: Contribution to journalMeeting abstractResearchpeer-review


Australian Postgraduate Award

Sidong Liu (Recipient), 31 Mar 2011


BIH 2016 Best Paper Award

Sidong Liu (Recipient) & Yang Song (Recipient), 13 Oct 2016

Prize: Honorary award

DICTA 2018 CISRA Potential Impact Award

Chaoyi Zhang (Recipient), Yang Song (Recipient) & Sidong Liu (Recipient), 13 Dec 2018

Prize: Honorary award

digital image

Activities 2013 2019

White Matter Tract Profile Analysis using DTI Tractography

Sidong Liu (Speaker)
8 Feb 2019

Activity: Talk or presentationInvited talk

Longitudinal Modeling of MS Lesions

Sidong Liu (Speaker)
12 May 2017

Activity: Talk or presentationInvited talk

Biomedical Data Initiative

Sidong Liu (Consultant)
Feb 2017Jun 2018

Activity: Consultancy

Multi-Modal Neuroimaging Computing: Methods and Applications

Sidong Liu (Speaker)
13 Oct 2016

Activity: Talk or presentationInvited talk

An Automated Python Pipeline for Modeling the Cerebral White Matter Pathways with Diffusion-Weighted Imaging

Sidong Liu (Speaker)
Oct 2016

Activity: Talk or presentationOral presentation

Press / Media

Sydney Genesis Program Enlight.AI System

Sidong Liu


1 item of media coverage

Press/Media: Other

Eye researchers big winners under new grants

Sidong Liu


1 media contribution

Press/Media: Other