Sidong Liu

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 47

Top Venues

University of Sydney, Australia (PHD)

Education History

University of Sydney, Australia

PHD

Publications

Mehnaz Tabassum, Priyanka Rana, Eric Suero Molina, Antonio Di Ieva, Sidong Liu
Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research. AIME (2) (2024)
Homay Danaei Mehr, Imran Noorani, Priyanka Rana, Antonio Di Ieva, Sidong Liu
AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning. AIME (2) (2024)
Sidong Liu, Cristian Castillo-Olea, Shlomo Berkovsky
Emerging Applications and Translational Challenges for AI in Healthcare. Inf. 15 (2) (2024)
Sahar Moradizeyveh, Mehnaz Tabassum, Sidong Liu, Robert Ahadizad Newport, Amin Beheshti, Antonio Di Ieva
When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis. CoRR (2024)
Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song
Decoupled Optimisation for Long-Tailed Visual Recognition. AAAI (2024)
Cong Cong, Sidong Liu, Priyanka Rana, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song
Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification. Expert Syst. Appl. 251 (2024)
Mehnaz Tabassum, Abdulla Al Suman, Carlo Russo, Antonio Di Ieva, Sidong Liu
A Deep Learning Framework for Skull Stripping in Brain MRI. EMBC (2023)
Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification. EMBC (2023)
David G. Black, Declan Byrne, Anna Walke, Sidong Liu, Antonio Di Ieva, Sadahiro Kaneko, Walter Stummer, Septimiu Salcudean, Eric Suero Molina
Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection. CoRR (2023)
Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. MIDL (2023)
Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. CoRR (2023)
Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification. CoRR (2023)
Hao Xiong, Sidong Liu, Roneel V. Sharan, Enrico W. Coiera, Shlomo Berkovsky
Weak label based Bayesian U-Net for optic disc segmentation in fundus images. Artif. Intell. Medicine 126 (2022)
Robert Ahadizad Newport, Carlo Russo, Sidong Liu, Abdulla Al Suman, Antonio Di Ieva
SoftMatch: Comparing Scanpaths Using Combinatorial Spatio-Temporal Sequences with Fractal Curves. Sensors 22 (19) (2022)
Carlo Russo, Sidong Liu, Antonio Di Ieva
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI. Medical Biol. Eng. Comput. 60 (1) (2022)
Fei Gao, Hong Huo, Huimin Ren, Sidong Liu, Zhong Yu
Optimal and Adaptive 1553B Telemetry Scheduling for Flight Control Software Based on Dynamic Programming. ICSIE (2022)
Kun Liu, Xiaolin Ning, Sidong Liu
Medical Image Classification Based on Semi-Supervised Generative Adversarial Network and Pseudo-Labelling. Sensors 22 (24) (2022)
Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song
Colour adaptive generative networks for stain normalisation of histopathology images. Medical Image Anal. 82 (2022)
Kun Liu, Zhuolin Liu, Sidong Liu
Semi-supervised breast histopathological image classification with self-training based on non-linear distance metric. IET Image Process. 16 (12) (2022)
Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Yang Song
Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network. ISBI (2022)
Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song
Adaptive Unified Contrastive Learning for Imbalanced Classification. MLMI@MICCAI (2022)
Robert Ahadizad Newport, Sidong Liu, Antonio Di Ieva
Integrating eye gaze into machine learning using fractal curves. Gaze Meets ML (2022)
Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song
Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images. ISBI (2021)
Hao Xiong, Shlomo Berkovsky, Mia Romano, Roneel V. Sharan, Sidong Liu, Enrico W. Coiera, Lauren F. McLellan
Prediction of anxiety disorders using a feature ensemble based bayesian neural network. J. Biomed. Informatics 123 (2021)
Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song
Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images. MICCAI (8) (2021)
You-Zhen Feng, Sidong Liu, Zhong-Yuan Cheng, Juan C. Quiroz, Dana Rezazadegan, Ping-Kang Chen, Qi-Ting Lin, Long Qian, Xiao-Fang Liu, Shlomo Berkovsky, Enrico W. Coiera, Lei Song, Xiao-Ming Qiu, Xiang-Ran Cai
Severity Assessment and Progression Prediction of COVID-19 Patients Based on the LesionEncoder Framework and Chest CT. Inf. 12 (11) (2021)
Lelin Zhang, Xi Nan, Eva Huang, Sidong Liu
Social E-commerce Tax Evasion Detection Using Multi-modal Deep Neural Networks. DICTA (2021)
Zhijing Xu, Yuhao Huo, Kun Liu, Sidong Liu
Detection of ship targets in photoelectric images based on an improved recurrent attention convolutional neural network. Int. J. Distributed Sens. Networks 16 (3) (2020)
Roneel V. Sharan, Shlomo Berkovsky, Sidong Liu
Voice Command Recognition Using Biologically Inspired Time-Frequency Representation and Convolutional Neural Networks. EMBC (2020)
Carlo Russo, Sidong Liu, Antonio Di Ieva
Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction. BrainLes@MICCAI (1) (2020)
Kun Liu, Shengtao Yu, Sidong Liu
An Improved InceptionV3 Network for Obscured Ship Classification in Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Hao Xiong, Shlomo Berkovsky, Roneel V. Sharan, Sidong Liu, Enrico W. Coiera
Robust Vision-Based Workout Analysis Using Diversified Deep Latent Variable Model. EMBC (2020)
Carlo Russo, Sidong Liu, Antonio Di Ieva
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI. CoRR (2020)
Carlo Russo, Sidong Liu, Antonio Di Ieva
Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction. CoRR (2020)
Lelin Zhang, Xi Nan, Eva Huang, Sidong Liu
Detecting Transaction-based Tax Evasion Activities on Social Media Platforms Using Multi-modal Deep Neural Networks. CoRR (2020)
Zihao Tang, Chenyu Wang, Phu Hoang, Sidong Liu, Weidong Cai, Domenic Soligo, Ruth Oliver, Michael Barnett, Ché Fornusek
Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Images. DATRA/PIPPI@MICCAI (2018)
Jun Xiao, Sidong Liu, Liang Hu, Ying Wang
Filtering method of rock points based on BP neural network and principal component analysis. Frontiers Comput. Sci. 12 (6) (2018)
Chaoyi Zhang, Yang Song, Sidong Liu, Scott Lill, Chenyu Wang, Zihao Tang, Yuyi You, Yang Gao, Alexander Klistorner, Michael Barnett, Weidong Cai
MS-GAN: GAN-Based Semantic Segmentation of Multiple Sclerosis Lesions in Brain Magnetic Resonance Imaging. DICTA (2018)
Chaoyi Zhang, Yang Song, Donghao Zhang, Sidong Liu, Mei Chen, Weidong Cai
Whole Slide Image Classification via Iterative Patch Labelling. ICIP (2018)
Yang Song, Hang Chang, Yang Gao, Sidong Liu, Donghao Zhang, Junen Yao, Wojciech Chrzanowski, Weidong Cai
Feature learning with component selective encoding for histopathology image classification. ISBI (2018)
Fan Zhang, Yang Song, Weidong Cai, Alexander G. Hauptmann, Sidong Liu, Sonia Pujol, Ron Kikinis, Michael J. Fulham, David Dagan Feng, Mei Chen
Dictionary pruning with visual word significance for medical image retrieval. Neurocomputing 177 (2016)
Sidong Liu, Julien Chevallier, Bangzhu Zhu
Self-scheduling of a power generating company: Carbon tax considerations. Comput. Oper. Res. 66 (2016)
Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia
Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. MCV/BAMBI@MICCAI (2016)
Fan Zhang, Yang Song, Weidong Cai, Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Yong Xia, Michael J. Fulham, David Dagan Feng
Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging. IEEE Trans. Biomed. Eng. 63 (5) (2016)
Siqi Liu, Donghao Zhang, Sidong Liu, Dagan Feng, Hanchuan Peng, Weidong Cai
Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking. Neuroinformatics 14 (4) (2016)
Sidong Liu, Yang Song, Fan Zhang, Dagan Feng, Michael J. Fulham, Tom Weidong Cai
Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation. BIH (2016)
Donghao Zhang, Siqi Liu, Sidong Liu, Dagan Feng, Hanchuan Peng, Weidong Cai
Reconstruction of 3D neuron morphology using Rivulet back-tracking. ISBI (2016)
Siqi Liu, Nur Hadi, Sidong Liu, Sonia Pujol, Ron Kikinis, Fan Zhang, Dagan Feng, Weidong Cai
Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image. MRDM@ECIR (2015)
Siqi Liu, Sidong Liu, Weidong Cai, Hangyu Che, Sonia Pujol, Ron Kikinis, Dagan Feng, Michael J. Fulham
Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease. IEEE Trans. Biomed. Eng. 62 (4) (2015)
Siqi Liu, Sidong Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Michael J. Fulham, Weidong Cai
Morphometry-Based Longitudinal Neurodegeneration Simulation with MR Imaging. CoRR (2015)
Fan Zhang, Yang Song, Siqi Liu, Paul M. Young, Daniela Traini, Lucy Morgan, Hui-Xin Ong, Lachlan Buddle, Sidong Liu, David Dagan Feng, Tom Weidong Cai
Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation. MICCAI (3) (2015)
Sidong Liu, Tom Weidong Cai, Siqi Liu, Sonia Pujol, Ron Kikinis, David Dagan Feng
Subject-centered multi-view feature fusion for neuroimaging retrieval and classification. ICIP (2015)
Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael J. Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis
Multimodal neuroimaging computing: the workflows, methods, and platforms. Brain Informatics 2 (3) (2015)
Fan Zhang, Yang Song, Tom Weidong Cai, Alexander G. Hauptmann, Sidong Liu, Siqi Liu, David Dagan Feng, Mei Chen
Ranking-Based Vocabulary Pruning in Bag-of-Features for Image Retrieval. ACALCI (2015)
Siqi Liu, Sidong Liu, Tom Weidong Cai, Sonia Pujol, Ron Kikinis, David Dagan Feng
Multi-Phase Feature Representation Learning for Neurodegenerative Disease Diagnosis. ACALCI (2015)
Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael J. Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis
Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders. Brain Informatics 2 (3) (2015)
Siqi Liu, Sidong Liu, Fan Zhang, Tom Weidong Cai, Sonia Pujol, Ron Kikinis, David Dagan Feng
Longitudinal brain MR retrieval with diffeomorphic demons registration: What happened to those patients with similar changes? ISBI (2015)
Sidong Liu, Weidong Cai, Lingfeng Wen, David Dagan Feng, Sonia Pujol, Ron Kikinis, Michael J. Fulham, Stefan Eberl
Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization. Comput. Medical Imaging Graph. 38 (6) (2014)
Fan Zhang, Yang Song, Sidong Liu, Sonia Pujol, Ron Kikinis, David Dagan Feng, Tom Weidong Cai
Latent Semantic Association for Medical Image Retrieval. DICTA (2014)
Hangyu Che, Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng
Co-neighbor multi-view spectral embedding for medical content-based retrieval. ISBI (2014)
Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Weidong Cai
Propagation graph fusion for multi-modal medical content-based retrieval. ICARCV (2014)
Weidong Cai, Fan Zhang, Yang Song, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, Dagan Feng
Automated feedback extraction for medical imaging retrieval. ISBI (2014)
Gillian Ng, Yang Song, Weidong Cai, Yun Zhou, Sidong Liu, David Dagan Feng
Hierarchical and binary spatial descriptors for lung nodule image retrieval. EMBC (2014)
Siqi Liu, Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng
Early diagnosis of Alzheimer's disease with deep learning. ISBI (2014)
Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng
Neuroimaging biomarker based prediction of Alzheimer'S disease severity with optimized graph construction. ISBI (2013)
Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng
Multi-Channel brain atrophy pattern analysis in neuroimaging retrieval. ISBI (2013)
Sidong Liu, Weidong Cai, Yang Song, Sonia Pujol, Ron Kikinis, Lingfeng Wen, David Dagan Feng
Localized Sparse Code Gradient in Alzheimer's disease staging. EMBC (2013)
Sidong Liu, Lelin Zhang, Weidong Cai, Yang Song, Zhiyong Wang, Lingfeng Wen, David Dagan Feng
A supervised multiview spectral embedding method for neuroimaging classification. ICIP (2013)
Lelin Zhang, Sidong Liu, Zhiyong Wang, Weidong Cai, Yang Song, David Dagan Feng
Graph cuts based relevance feedback in image retrieval. ICIP (2013)
Sidong Liu, Yang Song, Weidong Cai, Sonia Pujol, Ron Kikinis, Xiaogang Wang, Dagan Feng
Multifold Bayesian Kernelization in Alzheimer's Diagnosis. MICCAI (2) (2013)
Sidong Liu, Weidong Cai, Lingfeng Wen, David Dagan Feng
Multiscale and multiorientation feature extraction with degenerative patterns for 3D neuroimaging retrieval. ICIP (2012)
Sidong Liu, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng
Generalized regional disorder-sensitive-weighting scheme for 3D neuroimaging retrieval. EMBC (2011)
Sidong Liu, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng
Localized functional neuroimaging retrieval using 3D discrete curvelet transform. ISBI (2011)
Weidong Cai, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng
3D neurological image retrieval with localized pathology-centric CMRGlc patterns. ICIP (2010)
Sidong Liu, Lei Jing, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng
Localized multiscale texture based retrieval of neurological image. CBMS (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sidong Liu