Publications

Selected Publications

Construction of web going on …

  • 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)

  • 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.

  • 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. 894-897, 2024.

  • 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, IEEE International Conference on Computer Vision, 20213 - 20223, 2023

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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.

  • 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

  • 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