Publications

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Selected Publications

2025

  • Yufei Shi, Beijia Lu, Jia-Wei Liu, Ming Li, Si Yong Yeo, Mike Zheng Shou, ColonNeRF: High-fidelity neural reconstruction of long colonoscopy, in Neurocomputing, 2025, 131445, ISSN 0925-231
    🔗 Project Page

  • Ziyang Zhang, Yang Yu, Yucheng Chen, Xulei Yang, Si Yong Yeo, MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 29744-29755, 2025
    🔗 Project Page

  • Liu Jinhua, Tan Shu Yun, Yang Xulei, Xu Yanwu, Yeo Si Yong, EFFDNet: A Scribble-Supervised Medical Image Segmentation Method with Enhanced Foreground Feature Discrimination, Proceedings of Medical Image Computing and Computer Assisted Intervention, MICCAI, pp. 194 -- 204, 2025
    🔗 Project Page

  • Yufei Shi, Weilong Yan, Gang Xu, Yumeng Li, Yucheng Chen, Zhenxi Li, Fei Richard Yu, Ming Li, Si Yong Yeo, PVChat: Personalized Video Chat with One-Shot Learning, In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
    arXiv:2503.17069

  • Diao Yueqin, Fang Huihui, Yu Hanyi, Wang Yuning, Tao Yaling, Huang Ziyan, Yeo Si Yong, Xu Yanwu, Prior-guided Prototype Aggregation Learning for Alzheimer's Disease Diagnosis, Proceedings of Medical Image Computing and Computer Assisted Intervention, MICCAI, pp. 483 -- 492, 2025
    Paper | GitHub

  • Shijie Li, Xun Xu, Si Yong Yeo, Xulei Yang, Future-Aware Interaction Network For Motion Forecasting, In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025

  • Jieyun Li, Wei Song Seetoh, Jiekee Lim, Xin'ang Xiao, Kehu Yang, Si Yong Yeo, Boyun Sun, Jinhua Liu, Zhaoxia Xu, Linda L. D. Zhong, Developing a transparent reporting tool for AI-based diagnostic prediction models of disease and syndrome in Chinese medicine: a Delphi protocol, Frontiers in Digital Health, Volume 7 - 2025, May 2025.
    DOI

2024

  • Zhiyuan Yang, Bo Zhang, Zhiqiang Zeng, Si Yong Yeo, Edge-guided and Cross-scale Feature Fusion Network for Efficient Multi-contrast MRI Super-Resolution, International Conference on Pattern Recognition, 208 - 218, Dec 2024.
    DOI

  • Zhiyuan Yang, Bo Zhang, Yufei Shi, Ningze Zhong, Johnathan Loh, Huihui Fang, Yanwu Xu, Si Yong Yeo, ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading, International Conference on Medical Image Computing and Computer-Assisted Intervention, Ophthalmic Medical Image Analysis Workshop, pp. 11 - 21, 2024.
    arXiv:2407.14230 | DOI

  • Xinliu Zhong, Leo Hwa Liang, Angela S. Koh, Si Yong Yeo, Lightweight Relational Embedding in Task-Interpolated Few-Shot Networks for Enhanced Gastrointestinal Disease Classification, IEEE Conference on Artificial Intelligence, pp. 850-855, 2024. (Honorable Mention Paper Award)
    DOI

  • Jie. Jun. Wong, Glades Tan, Xinliu Zhong, Kay Woon Ho, Vincent Wei Jun Sim, Si Yong Yeo, Angela S. Koh, Artificial intelligence for modeling complex treatment decisions in aortic stenosis valve intervention, IEEE Conference on Artificial Intelligence, pp. 220-221, 2024.
    DOI

  • V. W. J. Sim, G. Tan, X. Zhong, T. S.J. Chua, J. J. Wong, S. Y. Yeo, A. S. Koh, Machine and Deep Learning Based Clinical Decision Making for Coronary Artery Disease and Chatbot Tool, IEEE Conference on Artificial Intelligence, pp. 890-893, 2024.
    DOI

2023

  • K. E. Ong, X. L. Ng, Y Li, W. Ai, K. Zhao, S. Y. Yeo, J. Liu, Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events, In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 20213 - 20223, 2023.
    DOI | GitHub

2022

  • X. L. Ng, K. E. Ong, Q. Zheng, Y. Ni, S. Y. Yeo, J. Liu, Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding, IEEE Conference on Computer Vision and Pattern Recognition, 19001-19012, 2022

2021

  • R. Loh, S. Y. Yeo, R. S. Tan, F. Gao, A. S. Koh, Explainable machine learning predictions to support personalized cardiology strategies. European Heart Journal - Digital Health, 3(1):49-55, 2021

  • R. Loh, S. Y. Yeo, R. S. Tan, F. Gao, A. S. Koh, Explainable Artificial Intelligence (AI) in Cardiology: A Tool to Provide Personalized Predictions on Cardiac Health States Among Older Adults Engaged in Physical Activity. Circulation, 2021

2020

  • D. Wang, S. Y. Yeo, Z. Su, Z. P. Wang, M. M. Abdalla, Data-driven streamline stiffener path optimization (SSPO) for sparse stiffener layout design of non-uniform curved grid-stiffened composite (NCGC) structures, Computer Methods in Applied Mechanics and Engineering, Vol. 365, 2020

  • X. Yang, W. T. Tang, G. Tjio, S. Y. Yeo, Y. Su, Automatic detection of anatomical landmarks in brain MR scanning using multi-task deep neural networks. Neurocomputing 396: 514-521, 2020

2018

  • S. Y. Yeo, J. Romero, M. Loper, J. Machine, M. Black, Shape estimation of subcutaneous adipose tissue using an articulated statistical shape model, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 6(1), 51-58, 2018

  • X. Yang, H. Li, L. Wang, S. Y. Yeo, Y. Su, Z. Zeng, Skin Lesion Analysis By Multi-Target Deep Neural Networks, International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 1263-1266, 2018

2017

  • X. Yang, Z. Zeng, S. Y. Yeo, C. Tan, H. L. Tey, Y. Su, A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification, arXiv, 2017

2016

  • S. Y. Yeo, X. Yang, L. Gobeawan, S. K. Teo, L. Zhong, R. S. Tan, Y. Su, Statistical Left Ventricular Deformation Analysis, Computing in Cardiology Conference, 657-660, 2016

  • Y. S. Ho, L. Y. Yip, et. al., Lipidomic Profiling of Lung Pleural Effusion Identifies Unique Metabotype for EGFR Mutants in Non-Small Cell Lung Cancer, Scientific Reports, 2016.

2014

  • S. Y. Yeo, X. Xie, I. Sazonov, P. Nithiarasu, Segmentation of biomedical images using active contour model with robust image feature and shape prior, International Journal for Numerical Methods in Biomedical Engineering, 2014, 30:232–248

2011

  • S. Y. Yeo, X. Xie, I. Sazonov, P. Nithiarasu, Geometrically induced force interaction for three-dimensional deformable models. IEEE Trans Image Process, 20(5):1373-87, 2011

  • S. Y. Yeo, X. Xie, I. Sazonov, P. Nithiarasu, Level set segmentation with robust image gradient energy and statistical shape prior, Proceedings of International Conference on Image Processing, 3397-3400, 2011

  • P. H. Saksono, P. Nithiarasu, I. Sazonov and S. Y. Yeo, Computational flow studies in a subject-specific human upper airway using a one-equation turbulence model. Influence of the nasal cavity, International Journal for Numerical Methods in Biomedical Engineering, 2011, 87:96–114

  • I. Sazonov, S. Y. Yeo, R. L. T. Bevan, X. Xie, R. van Loon, P. Nithiarasu, Modelling pipeline for subject-specific arterial blood flow—A review, International Journal for Numerical Methods in Biomedical Engineering, 2011, 27:1868–1910

Patents

  • Method And System For Determining A Magnetic Resonance Scan Coverage Of An Internal Anatomical Structure, PCT/SG2018/050557, 2018

  • Automatic Detection Of Anatomical Landmarks In Brain MR Scanning Using Multi-Task Deep Neural Networks, PCT Patent, 10201709069V, IHPC/P/10118/00/SG, 2018

  • Cancer Biomarkers And Uses Thereof, European Patent, 17763674.3, BTI/P/09479/04/EP, China Patent, 201780016349.6, 2018

  • The Use Of A Panel Of Lipid-Based Metabolites For Diagnosis Of Benign, EGFR Mutation Positive And EGFR Mutation Negative Malignant Lung Pleural Effusions, PCT/SG2017/050120, Mar 2017

  • Automatic Segmentation of Cardiac Magnetic Resonance (CMR) images using a Memory Persistence Approach, PCT/SG2015/000062, Feb 2015