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At MedAI Hub, we are committed to advancing the field of medical artificial intelligence through impactful, interdisciplinary research. Our publications reflect our ongoing efforts to translate cutting-edge innovations in AI, machine learning, medical imaging, omics analytics, and personalised healthcare into real-world clinical applications. This page showcases the scientific contributions of our researchers, including journal articles, conference proceedings, and collaborative projects, highlighting our dedication to improving diagnostics, treatment planning, and healthcare outcomes.
2025
Tan, C.Y., Ong, H.F., Lim, C.H. et al. Amogel: a multi-omics classification framework using associative graph neural networks with prior knowledge for biomarker identification. BMC Bioinformatics 26, 94 (2025). [Link]
Tew, H. H., Ding, F., Li. G., Loo, J. Y., Ting, C.-M., Ding, Z. Y. and Tan, C. P. (2025). ST-HCSS: Deep spatio-temporal hypergraph convolutional neural network for soft sensing, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, (Accepted) [Link]
Kang, M., Ting, C.-M., Ting, F. F., & Phan, R. C. -W. (2025) PK-YOLO: Pretrained knowledge guided YOLO for brain tumor detection in multiplanar MRI slices, IEEE/CVF Winter Conference on Applications of Computer Vision, Tucson (Accepted) [Link] [Code]
Tan, Y. F*, Tan, P. S., Noman, F., Phan, R. C. -W., Ombao, H. and Ting, C.-M. (2025) CONNECTOME-GTC: A unified framework for brain functional and structural connectomes: Generation, Translation, and Classification, IEEE International Symposium on Biomedical Imaging (ISBI), Houston. (Accepted) [Link]
2024
H. H. L. Tam, Y. M. Ng, M. A. A. Boolaky and H. F. Ong, "Predicting Drug Resistance in Cancer Cell Lines Using Machine Learning Approaches," 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 2024, pp. 5553-5560. [Link]
Kang, M., Ting, C.-M., Ting F. F., Phan, R. C.-W. (2024) ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation, Image and Vision Computing, 147, 1-9. [Link] [Code]
Noman, F., Ting, C.-M., Kang H., Phan, R. C.-W., & Ombao, H. (2024). Graph autoencoders for embedding learning in brain networks and major depressive disorder identification, IEEE Journal of Biomedical and Health Informatics, 28(3),1644-1655. [Link]
Trang, K., Ting F. F., Bao Q. V., Ting, C.-M. (2024). Node-based graph convolutional network with SLIC method for breast cancer ultrasound images classification, IEEE Access, vol. 12, 171036 – 171054. [Link]
Chow, X. H., Ting, C.-M., Hamizan, A. K. W., Zahedi, F. D., Tan, H. J., Remli, R., Khoo, C. S., Ombao, H., Sahibulddin, S. Z. & Husain, S. (2024). Brain waves spectral analysis of human responses to odorous and non-odorous substances: a preliminary study, Journal of Laryngology & Otology, 138(3), 301-309. [Link]
Yap, S. Y., Loo, J.-Y., Ting, C.-M., Noman, F., Phan, R. C. -W., Razi, A. & Dowe, D. (2024) A deep probabilistic spatiotemporal framework for dynamic graph representation learning with application to brain disorder identification, In Proc. 2024 International Joint Conference on Artificial Intelligence (IJCAI), Jeju. [Link] [Code]
Kang, M., Ting, C.-M., Ting, F. F., & Phan, R. C. -W. (2024). BGF-YOLO: Enhanced YOLOv8 with multiscale attentional feature fusion for brain tumor detection, In Proc. 27th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Marrakesh. [Link] [Code]
Tan, Y. F., Loo, J.-Y., Ting, C.-M., Noman, F., Phan, R. C.-W., & Ombao, H. (2024). BrainFC-CGAN: A conditional generative adversarial network for brain functional connectivity augmentation and aging synthesis, In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, 1511-1515. [Link]
Ting, C.-M., Noman, F., Phan, R. C.-W., & Ombao, H. (2024). Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization. In Proc. 30th IEEE International Conference on Image Processing (ICIP), Abu Dhabi. [Link] [Code]
See K.-J., Ting, C.-M., Noman, F., Loo, J.-Y., Phan, R. C.-W., & Ombao, H. (2024). Deep Multi-Graph Embedded Clustering for Community Detection in fMRI Functional Brain Networks Across Individuals, In Proc. 30th IEEE International Conference on Image Processing (ICIP), Abu Dhabi. [Link]
Kang, M., Ting, C.-M., Ting, F. F., & Phan, R. C. -W. (2024). CAFCT-NET: A CNN-Transformer hybrid network with contextual and attentional feature fusion for liver tumor segmentation, In Proc. 30th IEEE International Conference on Image Processing (ICIP), Abu Dhabi. [Link]
Kang, M., Ting, C.-M., Ting, F. F., & Phan, R. C. -W. (2024). CST-YOLO: A novel method for blood cell detection based on improved YOLOv7 and CNN-SWIN Transformer, In Proc. 30th IEEE International Conference on Image Processing (ICIP), Abu Dhabi. [Link] [Code]
Theeda, P., Ting, C.-M., Pal, A. & Ombao, H. (2024). A Preconditioning approach to optimizing sensing matrix for improved compressed sensing CT reconstruction. In Proc. 30th IEEE International Conference on Image Processing (ICIP), Abu Dhabi. [Link]
Tan, Y. F., Ting, C.-M., Noman, F., Phan, R. C.-W., & Ombao, H. (2024). fMRI functional connectivity augmentation using convolutional generative adversarial networks for brain disorder classification, In Proc. IEEE International Symposium on Biomedical Imaging (ISBI), Athens. [Link]
Tew, H. H., Loo, J.-Y., Z. Y. Ding, Ting, C.-M. & C. P. Tan. (2024) KANS: Knowledge discovery graph attention network for soft sensing in multivariate industrial processes, In Proc. IEEE International Conference on Systems, Man, and Cybernetics, Kuching, Malaysia [Link]
2023
Tan, Y. F., Ting, C.-M., Noman, F., Phan, R. C.-W., & Ombao, H. (2023). A Unified framework for static and dynamic functional connectivity augmentation for multi-domain brain disorder classification. In Proc. 30th IEEE International Conference on Image Processing (ICIP), pp. 635-639, Kuala Lumpur. [Link]
Kang, M., Ting, C.-M., Ting, F. F., & Phan, R. C. -W. (2023). RCS-YOLO: A fast and high-accuracy object detector for brain tumor detection. In Proc. 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 600-610, Vancouver. [Link] [Code]
Chai, A. F., Rajanala, S., Pal, A., Phan, R. C. W., & Ting, C.-M. (2023). ELEGANT: End-to-end language grounded speech denoiser for efficient generation of talking face. In Proc. 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 833-838, Taipei. [Link]
2022
Ting, C.-M., Skipper, J.I., Noman, F., Small, S.L. and Ombao, H. (2022). Separating stimulus-induced and background components of dynamic functional connectivity in naturalistic fMRI, IEEE Transactions on Medical Imaging, 41(6), 1431-1442. [Link] [Code]
Degras, D., Ting, C.-M. and Ombao, H. (2022). Markov-switching state-space models with applications to neuroimaging. Computational Statistics & Data Analysis, 147, 1-23. [Link]
Noman, F., Yap, S.-Y., Phan, R. C. -W., Ting, C.-M. and Ombao, H. (2022) Graph autoencoder-based embedded learning in dynamic brain networks for autism spectrum disorder identification. In Proc. 29th IEEE International Conference on Image Processing (ICIP), Bordeaux. [Link]
Leong, S.-M., Noman, F., Phan, R. C. -W., Baskaran V. M. and Ting, C.-M. (2022) GraphEx: Facial Action Unit Graph for Micro-expression Classification. In Proc. 29th IEEE International Conference on Image Processing (ICIP), Bordeaux. [Link]
2021
Ting, C.-M., Samdin, S.B., Tang, M. and Ombao, H. (2021). Detecting dynamic community structure in functional brain networks across individuals: A multilayer approach, IEEE Transactions on Medical Imaging, 40(2), 468 - 480. [Link]
Hussain, H., Ting, C.-M., Jalil, M. A., Ray, K., Rizvi, S. Z. H., Kavikumar, J., Noman, F., Latif, A. Z. A., Low, Y. F., Salleh, Sh-H., Mahmud, M., Kaiser, M. S. and Ali, J. (2021) Identifying individuals using EEG-based brain connectivity patterns. In Proc. International Conference on Brain Informatics, 124-135. [Link]
Hussain, H., Abd Aziz, W. S. N. A. W., Ting. C.-M., Noman, F., Latif, A. Z. A., Samdin, S. B., Hussain, S. H., Jalil, M. A., Yusoff, Y., Jacob, K., Ray, K., Kaiser, M. S., Salleh, Sh-H. and Ali, J. (2021). Enhanced signal processing using modified cyclic shift tree denoising. In Proc. International Conference on Applied Intelligence and Informatics, Nottingham, 150-160. [Link]
Salleh, Sh-H., Noman, F., Ting, C.-M., Hamid, S . R. G. S., Hussain, S. H., Jalil, M. A., Latif, A. Z. A., Jacob, K., Ray, K., Kaiser, M. S. and Ali, J. (2021). Key techniques and challenges for processing of heart sound signals. In Proc. International Conference on Applied Intelligence and Informatics, Nottingham, 136-149. [Link]
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