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2020 – today
- 2024
[j21]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: 123783 (2024)- [j20]Sidong Liu, Cristian Castillo-Olea, Shlomo Berkovsky:
Emerging Applications and Translational Challenges for AI in Healthcare. Inf. 15(2): 90 (2024) - [c47]Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song:
Decoupled Optimisation for Long-Tailed Visual Recognition. AAAI 2024: 1380-1388 - [c46]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: 21-29 - [c45]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: 60-69 - [c44]Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song:
Meta-Transfer Learning for Few-Shot Meningioma Segmentation. ISBI 2024: 1-4 - [i9]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 abs/2403.07834 (2024) - [i8]Cong Cong, Shiyu Xuan, Sidong Liu, Maurice Pagnucco, Shiliang Zhang, Yang Song:
Dataset Distillation for Histopathology Image Classification. CoRR abs/2408.09709 (2024) - 2023
- [c43]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: 1-4 - [c42]Mehnaz Tabassum, Abdulla Al Suman, Carlo Russo, Antonio Di Ieva, Sidong Liu:
A Deep Learning Framework for Skull Stripping in Brain MRI. EMBC 2023: 1-4 - [c41]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: 1655-1665 - [i7]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 abs/2302.09833 (2023) - [i6]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 abs/2305.00696 (2023) - [i5]David G. Black, Declan Byrne, Anna Walke, Sidong Liu, Antonio Di Ieva, Sadahiro Kaneko, Walter Stummer, Septimiu E. Salcudean, Eric Suero Molina:
Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection. CoRR abs/2311.10321 (2023) - 2022
- [j19]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: 102261 (2022) - [j18]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): 3164-3176 (2022) - [j17]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): 121-134 (2022) - [j16]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: 102580 (2022) - [j15]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): 7438 (2022) - [j14]Kun Liu, Xiaolin Ning, Sidong Liu:
Medical Image Classification Based on Semi-Supervised Generative Adversarial Network and Pseudo-Labelling. Sensors 22(24): 9967 (2022) - [c40]Robert Ahadizad Newport, Sidong Liu, Antonio Di Ieva:
Integrating eye gaze into machine learning using fractal curves. Gaze Meets ML 2022: 113-126 - [c39]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: 6-12 - [c38]Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Yang Song:
Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network. ISBI 2022: 1-4 - [c37]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: 348-357 - 2021
- [j13]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): 471 (2021) - [j12]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: 103921 (2021) - [c36]Lelin Zhang, Xi Nan, Eva Huang, Sidong Liu:
Social E-commerce Tax Evasion Detection Using Multi-modal Deep Neural Networks. DICTA 2021: 1-6 - [c35]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: 1949-1952 - [c34]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: 581-591 - 2020
- [j11]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) - [j10]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: 4738-4747 (2020) - [c33]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: 295-306 - [c32]Roneel V. Sharan, Shlomo Berkovsky, Sidong Liu:
Voice Command Recognition Using Biologically Inspired Time-Frequency Representation and Convolutional Neural Networks. EMBC 2020: 998-1001 - [c31]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: 2155-2158 - [i4]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 abs/2007.13525 (2020) - [i3]Carlo Russo, Sidong Liu, Antonio Di Ieva:
Spherical coordinates transformation pre-processing in Deep Convolution Neural Networks for brain tumor segmentation in MRI. CoRR abs/2008.07090 (2020) - [i2]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 abs/2010.13967 (2020)
2010 – 2019
- 2018
- [j9]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): 1149-1159 (2018) - [c30]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: 1-8 - [c29]Chaoyi Zhang, Yang Song, Donghao Zhang, Sidong Liu, Mei Chen, Weidong Cai:
Whole Slide Image Classification via Iterative Patch Labelling. ICIP 2018: 1408-1412 - [c28]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: 257-260 - [c27]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: 14-21 - 2017
- [b2]Sidong Liu:
Multimodal Neuroimaging Computing for the Characterization of Neurodegenerative Disorders. Springer 2017, ISBN 978-981-10-3532-6, pp. 1-129 - 2016
- [j8]Sidong Liu, Julien Chevallier, Bangzhu Zhu:
Self-scheduling of a power generating company: Carbon tax considerations. Comput. Oper. Res. 66: 384-392 (2016) - [j7]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: 75-88 (2016) - [j6]Siqi Liu, Donghao Zhang, Sidong Liu, Dagan Feng, Hanchuan Peng, Weidong Cai:
Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking. Neuroinformatics 14(4): 387-401 (2016) - [j5]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): 1058-1069 (2016) - [c26]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: 285-294 - [c25]Donghao Zhang, Siqi Liu, Sidong Liu, Dagan Feng, Hanchuan Peng, Weidong Cai:
Reconstruction of 3D neuron morphology using Rivulet back-tracking. ISBI 2016: 598-601 - [c24]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: 116-125 - 2015
- [b1]Sidong Liu:
Multimodal Neuroimaging Analysis for Neurodegeneration Characterization. University of Sydney, Australia, 2015 - [j4]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): 167-180 (2015) - [j3]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): 181-195 (2015) - [j2]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): 1132-1140 (2015) - [c23]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: 350-359 - [c22]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: 436-445 - [c21]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: 54-60 - [c20]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: 2505-2509 - [c19]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: 588-591 - [c18]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: 300-307 - [i1]Siqi Liu, Sidong Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Michael J. Fulham, Weidong Cai:
Morphometry-Based Longitudinal Neurodegeneration Simulation with MR Imaging. CoRR abs/1508.05683 (2015) - 2014
- [j1]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): 436-444 (2014) - [c17]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: 1-6 - [c16]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: 6463-6466 - [c15]Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Weidong Cai:
Propagation graph fusion for multi-modal medical content-based retrieval. ICARCV 2014: 849-854 - [c14]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: 907-910 - [c13]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: 911-914 - [c12]Siqi Liu, Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng:
Early diagnosis of Alzheimer's disease with deep learning. ISBI 2014: 1015-1018 - 2013
- [c11]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: 5398-5401 - [c10]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: 601-605 - [c9]Lelin Zhang, Sidong Liu, Zhiyong Wang, Weidong Cai, Yang Song, David Dagan Feng:
Graph cuts based relevance feedback in image retrieval. ICIP 2013: 4358-4362 - [c8]Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng:
Multi-Channel brain atrophy pattern analysis in neuroimaging retrieval. ISBI 2013: 202-205 - [c7]Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng:
Neuroimaging biomarker based prediction of Alzheimer'S disease severity with optimized graph construction. ISBI 2013: 1336-1339 - [c6]Sidong Liu, Yang Song, Weidong Cai, Sonia Pujol, Ron Kikinis, Xiaogang Wang, Dagan Feng:
Multifold Bayesian Kernelization in Alzheimer's Diagnosis. MICCAI (2) 2013: 303-310 - 2012
- [c5]Sidong Liu, Weidong Cai, Lingfeng Wen, David Dagan Feng:
Multiscale and multiorientation feature extraction with degenerative patterns for 3D neuroimaging retrieval. ICIP 2012: 1249-1252 - 2011
- [c4]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: 7009-7012 - [c3]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: 1877-1880 - 2010
- [c2]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: 243-248 - [c1]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: 3201-3204
Coauthor Index
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