Sidong Liu

According to our database, Sidong Liu authored at least 78 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Emerging Applications and Translational Challenges for AI in Healthcare.

Sidong Liu, Cristian Castillo-Olea, Shlomo Berkovsky

Inf., February, 2024

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

Cong Cong, Sidong Liu, Priyanka Rana, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song

Expert Syst. Appl., 2024

Implementation and Application of an Intelligibility Protocol for Interaction with an LLM.

Ashwin Srinivasan, Karan Bania, Shreyas V, Harshvardhan Mestha, Sidong Liu

CoRR, 2024

Dataset Distillation for Histopathology Image Classification.

Cong Cong, Shiyu Xuan, Sidong Liu, Maurice Pagnucco, Shiliang Zhang, Yang Song

CoRR, 2024

When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis.

Sahar Moradizeyveh, Mehnaz Tabassum, Sidong Liu, Robert Ahadizad Newport, Amin Beheshti, Antonio Di Ieva

CoRR, 2024

Meta-Transfer Learning for Few-Shot Meningioma Segmentation.

Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research.

Mehnaz Tabassum, Priyanka Rana, Eric Suero Molina, Antonio Di Ieva, Sidong Liu

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning.

Homay Danaei Mehr, Imran Noorani, Priyanka Rana, Antonio Di Ieva, Sidong Liu

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

Decoupled Optimisation for Long-Tailed Visual Recognition.

Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection.

David G. Black, Declan Byrne, Anna Walke, Sidong Liu, Antonio Di Ieva, Sadahiro Kaneko, Walter Stummer, Septimiu E. Salcudean, Eric Suero Molina

CoRR, 2023

TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.

Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge

CoRR, 2023

Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification.

Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan

CoRR, 2023

Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.

Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge

Proceedings of the Medical Imaging with Deep Learning, 2023

A Deep Learning Framework for Skull Stripping in Brain MRI.

Mehnaz Tabassum, Abdulla Al Suman, Carlo Russo, Antonio Di Ieva, Sidong Liu

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification.

Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

SoftMatch: Comparing Scanpaths Using Combinatorial Spatio-Temporal Sequences with Fractal Curves.

Robert Ahadizad Newport, Carlo Russo, Sidong Liu, Abdulla Al Suman, Antonio Di Ieva

Sensors, 2022

Medical Image Classification Based on Semi-Supervised Generative Adversarial Network and Pseudo-Labelling.

Kun Liu, Xiaolin Ning, Sidong Liu

Sensors, 2022

Colour adaptive generative networks for stain normalisation of histopathology images.

Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song

Medical Image Anal., 2022

Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI.

Carlo Russo, Sidong Liu, Antonio Di Ieva

Medical Biol. Eng. Comput., 2022

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

Kun Liu, Zhuolin Liu, Sidong Liu

IET Image Process., 2022

Weak label based Bayesian U-Net for optic disc segmentation in fundus images.

Hao Xiong, Sidong Liu, Roneel V. Sharan, Enrico W. Coiera, Shlomo Berkovsky

Artif. Intell. Medicine, 2022

Adaptive Unified Contrastive Learning for Imbalanced Classification.

Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network.

Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Yang Song

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Optimal and Adaptive 1553B Telemetry Scheduling for Flight Control Software Based on Dynamic Programming.

Fei Gao, Hong Huo, Huimin Ren, Sidong Liu, Zhong Yu

Proceedings of the 11th International Conference on Software and Information Engineering, 2022

Integrating eye gaze into machine learning using fractal curves.

Robert Ahadizad Newport, Sidong Liu, Antonio Di Ieva

Proceedings of The 1st Gaze Meets ML workshop, 2022

2021

Prediction of anxiety disorders using a feature ensemble based bayesian neural network.

Hao Xiong, Shlomo Berkovsky, Mia Romano, Roneel V. Sharan, Sidong Liu, Enrico W. Coiera, Lauren F. McLellan

J. Biomed. Informatics, 2021

Severity Assessment and Progression Prediction of COVID-19 Patients Based on the LesionEncoder Framework and Chest CT.

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

Inf., 2021

Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images.

Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images.

Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Social E-commerce Tax Evasion Detection Using Multi-modal Deep Neural Networks.

Lelin Zhang, Xi Nan, Eva Huang, Sidong Liu

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020

An Improved InceptionV3 Network for Obscured Ship Classification in Remote Sensing Images.

Kun Liu, Shengtao Yu, Sidong Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Detection of ship targets in photoelectric images based on an improved recurrent attention convolutional neural network.

Zhijing Xu, Yuhao Huo, Kun Liu, Sidong Liu

Int. J. Distributed Sens. Networks, 2020

Detecting Transaction-based Tax Evasion Activities on Social Media Platforms Using Multi-modal Deep Neural Networks.

Lelin Zhang, Xi Nan, Eva Huang, Sidong Liu

CoRR, 2020

Robust Vision-Based Workout Analysis Using Diversified Deep Latent Variable Model.

Hao Xiong, Shlomo Berkovsky, Roneel V. Sharan, Sidong Liu, Enrico W. Coiera

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Voice Command Recognition Using Biologically Inspired Time-Frequency Representation and Convolutional Neural Networks.

Roneel V. Sharan, Shlomo Berkovsky, Sidong Liu

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction.

Carlo Russo, Sidong Liu, Antonio Di Ieva

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2018

Filtering method of rock points based on BP neural network and principal component analysis.

Jun Xiao, Sidong Liu, Liang Hu, Ying Wang

Frontiers Comput. Sci., 2018

Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Images.

Zihao Tang, Chenyu Wang, Phu Hoang, Sidong Liu, Weidong Cai, Domenic Soligo, Ruth Oliver, Michael Barnett, Ché Fornusek

Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Feature learning with component selective encoding for histopathology image classification.

Yang Song, Hang Chang, Yang Gao, Sidong Liu, Donghao Zhang, Junen Yao, Wojciech Chrzanowski, Weidong Cai

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Whole Slide Image Classification via Iterative Patch Labelling.

Chaoyi Zhang, Yang Song, Donghao Zhang, Sidong Liu, Mei Chen, Weidong Cai

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

MS-GAN: GAN-Based Semantic Segmentation of Multiple Sclerosis Lesions in Brain Magnetic Resonance Imaging.

Chaoyi Zhang, Yang Song, Sidong Liu, Scott Lill, Chenyu Wang, Zihao Tang, Yuyi You, Yang Gao, Alexander Klistorner, Michael Barnett, Weidong Cai

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2017

Multimodal Neuroimaging Computing for the Characterization of Neurodegenerative Disorders

Sidong Liu

Springer, ISBN: 978-981-10-3533-3, 2017

2016

Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging.

Fan Zhang, Yang Song, Weidong Cai, Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Yong Xia, Michael J. Fulham, David Dagan Feng

IEEE Trans. Biomed. Eng., 2016

Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking.

Siqi Liu, Donghao Zhang, Sidong Liu, Dagan Feng, Hanchuan Peng, Weidong Cai

Neuroinformatics, 2016

Dictionary pruning with visual word significance for medical image retrieval.

Fan Zhang, Yang Song, Weidong Cai, Alexander G. Hauptmann, Sidong Liu, Sonia Pujol, Ron Kikinis, Michael J. Fulham, David Dagan Feng, Mei Chen

Neurocomputing, 2016

Self-scheduling of a power generating company: Carbon tax considerations.

Sidong Liu, Julien Chevallier, Bangzhu Zhu

Comput. Oper. Res., 2016

Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features.

Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia

Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

Reconstruction of 3D neuron morphology using Rivulet back-tracking.

Donghao Zhang, Siqi Liu, Sidong Liu, Dagan Feng, Hanchuan Peng, Weidong Cai

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation.

Sidong Liu, Yang Song, Fan Zhang, Dagan Feng, Michael J. Fulham, Tom Weidong Cai

Proceedings of the Brain Informatics and Health - International Conference, 2016

2015

Multimodal Neuroimaging Analysis for Neurodegeneration Characterization.

Sidong Liu

PhD thesis, 2015

Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease.

Siqi Liu, Sidong Liu, Weidong Cai, Hangyu Che, Sonia Pujol, Ron Kikinis, Dagan Feng, Michael J. Fulham

IEEE Trans. Biomed. Eng., 2015

Morphometry-Based Longitudinal Neurodegeneration Simulation with MR Imaging.

Siqi Liu, Sidong Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Michael J. Fulham, Weidong Cai

CoRR, 2015

Multimodal neuroimaging computing: the workflows, methods, and platforms.

Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael J. Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis

Brain Informatics, 2015

Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders.

Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael J. Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis

Brain Informatics, 2015

Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Longitudinal brain MR retrieval with diffeomorphic demons registration: What happened to those patients with similar changes?

Siqi Liu, Sidong Liu, Fan Zhang, Tom Weidong Cai, Sonia Pujol, Ron Kikinis, David Dagan Feng

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Subject-centered multi-view feature fusion for neuroimaging retrieval and classification.

Sidong Liu, Tom Weidong Cai, Siqi Liu, Sonia Pujol, Ron Kikinis, David Dagan Feng

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image.

Siqi Liu, Nur Hadi, Sidong Liu, Sonia Pujol, Ron Kikinis, Fan Zhang, Dagan Feng, Weidong Cai

Proceedings of the Multimodal Retrieval in the Medical Domain, 2015

Ranking-Based Vocabulary Pruning in Bag-of-Features for Image Retrieval.

Fan Zhang, Yang Song, Tom Weidong Cai, Alexander G. Hauptmann, Sidong Liu, Siqi Liu, David Dagan Feng, Mei Chen

Proceedings of the Artificial Life and Computational Intelligence, 2015

Multi-Phase Feature Representation Learning for Neurodegenerative Disease Diagnosis.

Siqi Liu, Sidong Liu, Tom Weidong Cai, Sonia Pujol, Ron Kikinis, David Dagan Feng

Proceedings of the Artificial Life and Computational Intelligence, 2015

2014

Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization.

Sidong Liu, Weidong Cai, Lingfeng Wen, David Dagan Feng, Sonia Pujol, Ron Kikinis, Michael J. Fulham, Stefan Eberl

Comput. Medical Imaging Graph., 2014

Early diagnosis of Alzheimer's disease with deep learning.

Siqi Liu, Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Co-neighbor multi-view spectral embedding for medical content-based retrieval.

Hangyu Che, Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Automated feedback extraction for medical imaging retrieval.

Weidong Cai, Fan Zhang, Yang Song, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, Dagan Feng

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Propagation graph fusion for multi-modal medical content-based retrieval.

Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Weidong Cai

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Hierarchical and binary spatial descriptors for lung nodule image retrieval.

Gillian Ng, Yang Song, Weidong Cai, Yun Zhou, Sidong Liu, David Dagan Feng

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Latent Semantic Association for Medical Image Retrieval.

Fan Zhang, Yang Song, Sidong Liu, Sonia Pujol, Ron Kikinis, David Dagan Feng, Tom Weidong Cai

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

2013

Multifold Bayesian Kernelization in Alzheimer's Diagnosis.

Sidong Liu, Yang Song, Weidong Cai, Sonia Pujol, Ron Kikinis, Xiaogang Wang, Dagan Feng

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Neuroimaging biomarker based prediction of Alzheimer'S disease severity with optimized graph construction.

Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Multi-Channel brain atrophy pattern analysis in neuroimaging retrieval.

Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Graph cuts based relevance feedback in image retrieval.

Lelin Zhang, Sidong Liu, Zhiyong Wang, Weidong Cai, Yang Song, David Dagan Feng

Proceedings of the IEEE International Conference on Image Processing, 2013

A supervised multiview spectral embedding method for neuroimaging classification.

Sidong Liu, Lelin Zhang, Weidong Cai, Yang Song, Zhiyong Wang, Lingfeng Wen, David Dagan Feng

Proceedings of the IEEE International Conference on Image Processing, 2013

Localized Sparse Code Gradient in Alzheimer's disease staging.

Sidong Liu, Weidong Cai, Yang Song, Sonia Pujol, Ron Kikinis, Lingfeng Wen, David Dagan Feng

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Multiscale and multiorientation feature extraction with degenerative patterns for 3D neuroimaging retrieval.

Sidong Liu, Weidong Cai, Lingfeng Wen, David Dagan Feng

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Localized functional neuroimaging retrieval using 3D discrete curvelet transform.

Sidong Liu, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Generalized regional disorder-sensitive-weighting scheme for 3D neuroimaging retrieval.

Sidong Liu, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

3D neurological image retrieval with localized pathology-centric CMRGlc patterns.

Weidong Cai, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng

Proceedings of the International Conference on Image Processing, 2010

Localized multiscale texture based retrieval of neurological image.

Sidong Liu, Lei Jing, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng

Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010