| 2025 | AIME | Adaptive Clustering for EGFR Amplification Prediction in Glioblastoma: A Variational Autoencoder-Dirichlet Bayesian Gaussian Approach. | Homay Danaei Mehr, Cong Cong, Imran Noorani, Antonio Di Ieva, Sidong Liu |
| 2025 | IJCNN | Source-free Few-shot Segmentation for Rarer Brain Tumors. | Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song |
| 2025 | MICCAI | FoundBioNet: A Foundation-Based Model for IDH Genotyping of Glioma from Multi-parametric MRI. | Somayeh Farahani, Marjaneh Hejazi, Antonio Di Ieva, Sidong Liu |
| 2025 | MICCAI | Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities. | Junze Wang, Lei Fan, Weipeng Jing, Donglin Di, Yang Song, Sidong Liu, Cong Cong |
| 2025 | MICCAI | FMM-Diff: A Feature Mapping and Merging Diffusion Model for MRI Generation with Missing Modality. | Wenjin Zhong, Cong Cong, Zihan Wang, Zeya Yan, Antonio Di Ieva, Sidong Liu |
| 2024 | AAAI | Decoupled Optimisation for Long-Tailed Visual Recognition. | Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song |
| 2024 | AIME | 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 |
| 2024 | AIME | 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 |
| 2022 | MICCAI | Adaptive Unified Contrastive Learning for Imbalanced Classification. | Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song |
| 2021 | DICTA | Social E-commerce Tax Evasion Detection Using Multi-modal Deep Neural Networks. | Lelin Zhang, Xi Nan, Eva Huang, Sidong Liu |
| 2021 | MICCAI | Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images. | Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song |
| 2018 | DICTA | 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 |
| 2018 | ICIP | Whole Slide Image Classification via Iterative Patch Labelling. | Chaoyi Zhang, Yang Song, Donghao Zhang, Sidong Liu, Mei Chen, Weidong Cai |
| 2018 | MICCAI | 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, Ch Fornusek |
| 2016 | MICCAI | Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. | Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia |
| 2015 | ECIR | 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 |
| 2015 | ICIP | 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 |
| 2015 | MICCAI | 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 |
| 2014 | DICTA | Latent Semantic Association for Medical Image Retrieval. | Fan Zhang, Yang Song, Sidong Liu, Sonia Pujol, Ron Kikinis, David Dagan Feng, Tom Weidong Cai |
| 2014 | ICARCV | Propagation graph fusion for multi-modal medical content-based retrieval. | Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Weidong Cai |
| 2013 | ICIP | A supervised multiview spectral embedding method for neuroimaging classification. | Sidong Liu, Lelin Zhang, Weidong Cai, Yang Song, Zhiyong Wang, Lingfeng Wen, David Dagan Feng |
| 2013 | ICIP | Graph cuts based relevance feedback in image retrieval. | Lelin Zhang, Sidong Liu, Zhiyong Wang, Weidong Cai, Yang Song, David Dagan Feng |
| 2013 | MICCAI | Multifold Bayesian Kernelization in Alzheimer's Diagnosis. | Sidong Liu, Yang Song, Weidong Cai, Sonia Pujol, Ron Kikinis, Xiaogang Wang, Dagan Feng |
| 2012 | ICIP | Multiscale and multiorientation feature extraction with degenerative patterns for 3D neuroimaging retrieval. | Sidong Liu, Weidong Cai, Lingfeng Wen, David Dagan Feng |
| 2010 | CBMS | Localized multiscale texture based retrieval of neurological image. | Sidong Liu, Lei Jing, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng |
| 2010 | ICIP | 3D neurological image retrieval with localized pathology-centric CMRGlc patterns. | Weidong Cai, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng |