Projects per year
Personal profile
Biography
Sidong Liu is a Senior Research Fellow at Australian Institute of Health Innovation (AIHI), Macquarie University. He has a research background in biomedical informatics and computer science. He received a Bachelor’s Degree in Bioinformatics from Harbin Institute of Technology (HIT), which is a member of China’s elite C9 League. He further recieved a Master's Degree in Bioinformatics and a Master's Degree in Computer Science from University of Sydney (USYD) in 2009 and 2010, respectively. In 2011, he was awarded a USYD International Scholarship (USydIS), and started his PhD research on health informatics and artificial intelligence (AI) under the supervison of Professors Weidong Cai and Dagan Feng. In 2014, he spent one year at the Surgical Planning Laboratory (SPL), Harvard Medical School (HMS) as a research trainee under the supervision of Professor Ron Kikinis. After his PhD, he worked as a research associate / fellow at the USYD School of Computer Science (SCS), Brain and Mind Centre (BMC) and Save Sight Institute (SSI) from 2015 to 2018. He joined Macquarie University in 2019 with a NHMRC Early Career Fellowship. He has established and is now leading a research stream - Translational AI for Healthcare - at AIHI. In recgnition of his outstanding work in AI in Healthcare, he received the Macquarie University Early Career Researcher of the Year Award (STEMM Category), and the AIHI Researcher of the Year Award (Health Informatics) in 2021.
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Collaborations and top research areas from the last five years
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AI-Assisted Digital Histopathology Image Computing for Tumor Diagnosis
Liu, S., Song, Y., Di Ieva, A., Cong, T. & Jose, L.
1/01/21 → 31/12/23
Project: Research
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Computational Neurosurgery Lab
Di Ieva, A., George, L., Azemi, G., Suero Molina, E., Russo, C., Liu, S., Guller, A., Tabassum, M., Kumari, P., Igrunkova, A., Unnikrishnan, S. & Beheshti, A.
1/01/19 → …
Project: Research
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Predicting Motor Neuron Disease (MND) Patient Status by Machine Learning
Lee, A., Liu, S. & Suddull, H.
24/01/21 → 31/12/22
Project: Research
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Automated Severity Assessment of COVID-19 based on Clinical and Imaging Data
Liu, S., Quiroz Aguilera, J. & Rezazadegan, D.
1/04/20 → 31/12/21
Project: Research
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Social E-commerce Tax Evasion Detection Using Multi-modal Deep Neural Networks
Liu, S., Huang, E. & Zhang, L.
1/01/20 → 31/12/22
Project: Research
Research Outputs
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Artificial intelligence–assisted classification of gliomas using whole-slide images
Jose, L., Liu, S., Russo, C., Cong, C., Song, Y., Rodriguez, M. & Di Ieva, A., 1 Aug 2023, In: Archives of Pathology and Laboratory Medicine. 147, 8, p. 916-924 9 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Artificial Intelligence in medical image computing
Liu, S., 15 Jun 2023, p. 210. 1 p.Research output: Contribution to conference › Abstract
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Domain-specific pre-training improves confidence in whole slide image classification
Rohit Chitnis, S., Liu, S., Dash, T., Verlekar, T., Di Ieva, A., Berkovsky, S., Vig, L. & Srinivasan, A., 26 Jul 2023, IEEE EMBC 2023. Sydney: Institute of Electrical and Electronics Engineers (IEEE), 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open Access -
Integrating eye gaze into machine learning using fractal curves
Newport, R. A., Liu, S. & Di Ieva, A., 2023, NeuRIPS 2022 Workshop on Gaze Meets ML. Lourentzou, I., Wu, J., Kashyap, S., Karargyris, A., Celi, L. A., Kawas, B. & Talathi, S. (eds.). New Orleans: ML Research Press, p. 113-126 14 p. (Proceedings of Machine Learning Research; vol. 210).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Inter-regional proteomic profiling of the human brain using an optimized protein extraction method from formalin-fixed tissue to identify signaling pathways
Davidson, J. M., Rayner, S. L., Liu, S., Cheng, F., Ieva, A. D., Chung, R. S. & Lee, A., 21 Feb 2023, In: International Journal of Molecular Sciences. 24, 5, p. 1-18 18 p., 4283.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Downloads (Pure)
Prizes
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AIHI Researcher of the Year (Health Informatics)
Liu, Sidong (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
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Activities
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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 Medical Image Computing
Sidong Liu (Invited speaker)
18 Jun 2023Activity: Talk or presentation › Invited talk
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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
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AI in Digital Pathology and Neuroimaging for Brain Tumour Diagnosis
Sidong Liu (Speaker)
17 Aug 2022Activity: Talk or presentation › Presentation
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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