Sidong Liu

Scopus Author ID Loop profile Scopus Author ID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 7

Top Venues

Communications medicine

JMIR medical informatics

Brain informatics

Medical & biological engineering & computing

Macquarie University

University of Sydney (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Macquarie University Jan 01 2019

Australia

NHMRC Early Career Fellow :: Department of Clinical Medicine

University of Sydney Jan 16 2017 - Dec 31 2018

Australia

Research Fellow :: Sydney Medical School

University of Sydney - Jan 15 2017

Australia

Research Associate :: School of Information Technologies

Harvard Medical School Jan 30 2014 - Dec 15 2014

United States

Research Trainee :: Brigham and Women's Hospital

University of Sydney Mar 01 2010 - Dec 01 2010

Australia

Research Assistant :: School of Information Technologies

Education History

University of Sydney

Australia

PHD :: Faculty of Engineering and Information Technologies

University of Sydney

Australia

MSC :: Faculty of Engineering and Information Technologies

University of Sydney

Australia

MSC :: Faculty of Science

Harbin Institute of Technology

China

BSC :: School of Computer Science and Technology

Publications

David Black, Declan Byrne, Anna Walke, Sidong Liu, Antonio Di Ieva, Sadahiro Kaneko, Walter Stummer, Tim Salcudean, Eric Suero-Molina
Towards machine learning-based quantitative hyperspectral image guidance for brain tumor resection. Communications medicine 4 (1) (2024)
David Black, Declan Byrne, Anna Walke, Sidong Liu, Antonio Di Ieva, Sadahiro Kaneko, Walter Stummer, Tim Salcudean, Eric Suero-Molina
Towards machine learning-based quantitative hyperspectral image guidance for brain tumor resection. Communications medicine 4 (1) (2024)
David Black, Declan Byrne, Anna Walke, Sidong Liu, Antonio Di Ieva, Sadahiro Kaneko, Walter Stummer, Tim Salcudean, Eric Suero-Molina
Towards machine learning-based quantitative hyperspectral image guidance for brain tumor resection. Communications medicine 4 (1) (2024)
Mehnaz Tabassum, Abdulla Al Suman, Eric Suero-Molina, Elizabeth Pan, Antonio Di Ieva, Sidong Liu
Radiomics and Machine Learning in Brain Tumors and Their Habitat: A Systematic Review. Cancers 15 (15) (2023)
Juan Carlos Quiroz, You-Zhen Feng, Zhong-Yuan Cheng, Dana Rezazadegan, Ping-Kang Chen, Qi-Ting Lin, Long Qian, Xiao-Fang Liu, Shlomo Berkovsky, Enrico W Coiera, Lei Song, Xiaoming Qiu, Sidong Liu, Xiang-Ran Cai
Development and Validation of a Machine Learning Approach for Automated Severity Assessment of COVID-19 Based on Clinical and Imaging Data: Retrospective Study. JMIR medical informatics 9 (2) (2021)
Carlo Russo, Sidong Liu, Antonio Di Ieva
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI. Medical & biological engineering & computing (2021)
Yang Gao, Xiong Xiao, Bangcheng Han, Guilin Li, Xiaolin Ning, Defeng Wang, Weidong Cai, Ron Kikinis, Shlomo Berkovsky, Antonio Di Ieva, Deling Li, Nan Ji, Sidong Liu
Deep Learning Methodology for Differentiating Glioma Recurrence From Radiation Necrosis Using Multimodal Magnetic Resonance Imaging: Algorithm Development and Validation. JMIR medical informatics 8 (11) (2020)
Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis
Multimodal neuroimaging computing: the workflows, methods, and platforms. Brain informatics 2 (3) (2015)
Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis
Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders. Brain informatics 2 (3) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sidong Liu