Sidong Liu

Macquarie University

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Recent Grants

Grant: Close

NHMRC Early Career Fellowship

Open Date: 2019-01-01

Close Date: 2022-12-01

Grant: Close

Australia Sydney University Graduates Union North America (SUGUNA) Scholarship

Open Date: 2014-01-01

Close Date: 2014-12-01

Grant: Close

Australia Alzheimer’s Disease Research Foundation (AADRF) Top-up Scholarship

Open Date: 2013-01-01

Close Date: 2014-01-01

Grant: Close

Australia Postgraduate Award

Open Date: 2011-02-01

Close Date: 2014-08-01

Grant: Close

University of Sydney International Research Scholarhsip

Open Date: 2011-01-01

Close Date: 2011-01-01

Articles (27)

Collaborators (19)

Abdulla Al Suman

Macquarie University

Shlomo Berkovsky

Macquarie University

Carlo Russo

Macquarie University

Antonio Di Ieva

Macquarie University

Ian Blair

Macquarie University

Andrew Smith

Macquarie University

Ghasem Azemi

Macquarie University

somayeh farahani

Macquarie University

Eric Suero Molina

Macquarie University

Dominic Rowe

Macquarie University

Natalie Grima

Macquarie University

Rhea Darbari Kaul

Macquarie University

Stephanie Rayner

Macquarie University

Cong Cong

Macquarie University

Flora Cheng

Macquarie University

Marcus Stoodley

Macquarie University

Mehnaz Tabassum

Macquarie University

Robert Ahadizad Newport

Macquarie University

Albert Lee

Macquarie University

Sidong Liu

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (27)

Predicting intraoperative 5-ALA-induced tumor fluorescence via MRI and deep learning in gliomas with radiographic lower-grade characteristics

Synthetic O-(2-18F-fluoroethyl)-L-tyrosine-positron emission tomography generation and hotspot prediction via preoperative MRI fusion of gliomas lacking radiographic high-grade characteristics

Diagnostic performance of deep learning for predicting glioma isocitrate dehydrogenase and 1p/19q co-deletion in MRI: a systematic review and meta-analysis

Development of an open-source algorithm for automated segmentation in clinician-led paranasal sinus radiologic research

Eye-Guided Multimodal Fusion: Toward an Adaptive Learning Framework Using Explainable Artificial Intelligence

Diagnostic Accuracy of Deep Learning Models in Predicting Glioma Molecular Markers: A Systematic Review and Meta-Analysis

Computer vision methods under rapid evolution for pathology image tasks

Selective Prototype Aggregation for Remote Sensing Few-Shot Semantic Segmentation

Use of artificial intelligence in the prediction of Chiari malformation type 1 recurrence after posterior fossa decompressive surgery

Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification

Weakly supervised deep learning image analysis can differentiate melanoma from naevi on haematoxylin and eosin-stained histopathology slides

Towards machine learning-based quantitative hyperspectral image guidance for brain tumor resection

Semi-Supervised Medical Image Classification with Pseudo Labels Using Coalition Similarity Training

Emerging Applications and Translational Challenges for AI in Healthcare

Enhanced Semi-Supervised Medical Image Classification Based on Dynamic Sample Reweighting and Pseudo-Label Guided Contrastive Learning (DSRPGC)

Inter-regional proteomic profiling of the human brain using an optimized protein extraction method from formalin-fixed tissue to identify signaling pathways

Artificial intelligence–assisted classification of gliomas using whole-slide images

Radiomics and Machine Learning in Brain Tumors and Their Habitat: A Systematic Review

RNA sequencing of peripheral blood in amyotrophic lateral sclerosis reveals distinct molecular subtypes: Considerations for biomarker discovery

Attention-based Deep Learning Approaches in Brain Tumor Image Analysis: A Mini Review

Colour adaptive generative networks for stain normalisation of histopathology images

Use of deep learning in the MRI diagnosis of Chiari malformation type I

Evidence synthesis, digital scribes, and translational challenges for artificial intelligence in healthcare

Medical image classification based on semi-supervised generative adversarial network and pseudo-labelling

Semi-supervised breast histopathological image classification with self-training based on non-linear distance metric

SoftMatch

Artificial intelligence for survival prediction in brain tumors on neuroimaging

Collaborators (19)

Abdulla Al Suman

Shlomo Berkovsky

Carlo Russo

Antonio Di Ieva

Ian Blair

Andrew Smith

Ghasem Azemi

somayeh farahani

Eric Suero Molina

Dominic Rowe

Natalie Grima

Rhea Darbari Kaul

Stephanie Rayner

Cong Cong

Flora Cheng

Marcus Stoodley

Mehnaz Tabassum

Robert Ahadizad Newport

Albert Lee

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