PCA and LDA-based face verification using back-propagation neural network. - Lih-Heng Chan; Sheikh Hussain Salleh; Chee-Ming Ting; Ahmad Kamaru Ariff (ISSPA, 2010)

ECG based personal identification using extended Kalman filter. - Chee-Ming Ting; Sheikh Hussain Salleh (ISSPA, 2010)

Spectral Estimation of Nonstationary EEG Using Particle Filtering With Application to Event-Related Desynchronization (ERD). - Chee-Ming Ting; Sheikh Hussain Salleh; Zaitul Marlizawati Zainuddin; Arifah Bahar (IEEE Trans. Biomed. Eng., 2011)

An expectation-maximization algorithm based Kalman smoother approach for single-trial estimation of event-related potentials. - Chee-Ming Ting; S. Balqis Samdin; Sh-Hussain Salleh; M. Hafizi Omar; Ismail Kamarulafizam (EMBC, 2012)

Linear dynamic models for classification of single-trial EEG. - S. Balqis Samdin; Chee-Ming Ting; Sh-Hussain Salleh; Ahmad Kamaru Ariff; A. B. Mohd Noor (EMBC, 2013)

Discriminative tandem features for HMM-based EEG classification. - Chee-Ming Ting; Simon King 001; Sh-Hussain Salleh; Ahmad Kamaru Ariff (EMBC, 2013)

Estimating dynamic cortical connectivity from motor imagery EEG using KALMAN smoother & EM algorithm. - S. Balqis Samdin; Chee-Ming Ting; Sh-Hussain Salleh; Mahyar Hamedi; A. B. Mohd Noor (SSP, 2014)

Estimation of high-dimensional brain connectivity from FMRI data using factor modeling. - Chee-Ming Ting; Abd-Krim Seghouane; Sheikh Hussain Shaikh Salleh; A. B. Mohd Noor (SSP, 2014)

Artifact Removal from Single-Trial ERPs using Non-Gaussian Stochastic Volatility Models and Particle Filter. - Chee-Ming Ting; Sh-Hussain Salleh; Zaitul Marlizawati Zainuddin; Arifah Bahar (IEEE Signal Process. Lett., 2014)

Modeling and estimation of single-trial event-related potentials using partially observed diffusion processes. - Chee-Ming Ting; Sh-Hussain Salleh; Zaitul Marlizawati Zainuddin; Arifah Bahar (Digit. Signal Process., 2015)

Is First-Order Vector Autoregressive Model Optimal for fMRI Data? - Chee-Ming Ting; Abd-Krim Seghouane; Muhammad Usman Khalid; Sh-Hussain Salleh (Neural Comput., 2015)

Estimating Effective Connectivity from fMRI Data Using Factor-based Subspace Autoregressive Models. - Chee-Ming Ting; Abd-Krim Seghouane; Sheikh Hussain Shaikh Salleh; A. B. Mohd Noor (IEEE Signal Process. Lett., 2015)

Estimation of high-dimensional connectivity in FMRI data via subspace autoregressive models. - Chee-Ming Ting; Abd-Krim Seghouane; Sh-Hussain Salleh (SSP, 2016)

Modeling Effective Connectivity in High-Dimensional Cortical Source Signals. - Yuxiao Wang 006; Chee-Ming Ting; Hernando C. Ombao (IEEE J. Sel. Top. Signal Process., 2016)

Heart sound segmentation using switching linear dynamical models. - Fuad Noman; Sh-Hussain Salleh; Chee-Ming Ting; Hadri Hussain (GlobalSIP, 2017)

Analysis of ECG biosignal recognition for client identifiction. - Hadri Hussain; Chee-Ming Ting; Fuad Numan; M. Nasir Ibrahim; Nur Fariza Izan; M. M. Mohammad; Hadrina Sh-Hussain (ICSIPA, 2017)

fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift. - Abd-Krim Seghouane; Adnan Shah; Chee-Ming Ting (Digit. Signal Process., 2017)

A Unified Estimation Framework for State-Related Changes in Effective Brain Connectivity. - S. Balqis Samdin; Chee-Ming Ting; Hernando Ombao; Sh-Hussain Salleh (IEEE Trans. Biomed. Eng., 2017)

Performance Study for Multimodel Client Identification System Using Cardiac and Speech Signals. - Hadri Hussain; Sh-Hussain Salleh; Chee-Ming Ting; Fuad Noman; M. M. Mohammad; Ahmad Zubaidi Abdul Latif; Osamah Al-Hamdani (ISMICT, 2018)

Statistical models for brain signals with properties that evolve across trials. - Hernando C. Ombao; Mark Fiecas; Chee-Ming Ting; Yin Fen Low (NeuroImage, 2018)

Robust Facial Expression Recognition for MuCI: A Comprehensive Neuromuscular Signal Analysis. - Mahyar Hamedi; Sh-Hussain Salleh; Chee-Ming Ting; Mehdi Astaraki; Alias Mohd Noor (IEEE Trans. Affect. Comput., 2018)

Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models. - Chee-Ming Ting; Hernando C. Ombao; S. Balqis Samdin; Sh-Hussain Salleh (IEEE Trans. Medical Imaging, 2018)

Short-segment Heart Sound Classification Using an Ensemble of Deep Convolutional Neural Networks. - Fuad Noman; Chee-Ming Ting; Sh-Hussain Salleh; Hernando C. Ombao (ICASSP, 2019)

Estimating Brain Connectivity Using Copula Gaussian Graphical Models. - Xu Gao; Weining Shen; Chee-Ming Ting; Steven C. Cramer; Ramesh Srinivasan; Hernando C. Ombao (ISBI, 2019)

Detecting State Changes in Community Structure of Functional Brain Networks Using a Markov-Switching Stochastic Block Model. - S. Balqis Samdin; Chee-Ming Ting; Hernando C. Ombao (ISBI, 2019)

Classification of EEG-based Effective Brain Connectivity in Schizophrenia using Deep Neural Networks. - Chun-Ren Phang; Chee-Ming Ting; S. Balqis Samdin; Hernando C. Ombao (NER, 2019)

Exploratory Analysis of Brain Signals through Low Dimensional Embedding. - Yuxiao Wang 006; Chee-Ming Ting; Xu Gao; Hernando C. Ombao (NER, 2019)

Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network. - Chun-Ren Phang; Chee-Ming Ting; Fuad Noman; Hernando C. Ombao (CoRR, 2019)

A Markov-Switching Model Approach to Heart Sound Segmentation and Classification. - Fuad Noman; Sh-Hussain Salleh; Chee-Ming Ting; S. Balqis Samdin; Hernando C. Ombao; Hadri Hussain (IEEE J. Biomed. Health Informatics, 2020)

A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns. - Chun-Ren Phang; Fuad Noman; Hadri Hussain; Chee-Ming Ting; Hernando C. Ombao (IEEE J. Biomed. Health Informatics, 2020)

Multi-Scale Factor Analysis of High-Dimensional Functional Connectivity in Brain Networks. - Chee-Ming Ting; Hernando C. Ombao; Sh-Hussain Salleh; Ahmad Zubaidi Abdul Latif (IEEE Trans. Netw. Sci. Eng., 2020)

Enhanced Signal Processing Using Modified Cyclic Shift Tree Denoising. - Hadri Hussain; W. S. N. A. Wan Abd Aziz; Chee-Ming Ting; Fuad M. Noman; Ahmad Zubaidi Abdul Latif; S. Balqis Samdin; Hadrina Sh; Muhammad Arif Jalil; Yusmeera Yusoff; Kavikumar Jacob; Kanad Ray; M. Shamim Kaiser; et al. (AII, 2021)

Key Techniques and Challenges for Processing of Heart Sound Signals. - Sheikh Hussain Shaikh Salleh; Fuad M. Noman; Chee-Ming Ting; Syed Rasul Bin G. Syed Hamid; Siti Hadrina Bt Sheikh Hussain; Muhammad Arif Jalil; Ahmad Zubaidi Abdul Latif; Kavikumar Jacob; Kanad Ray; M. Shamim Kaiser; Jalil Ali (AII, 2021)

Identifying Individuals Using EEG-Based Brain Connectivity Patterns. - Hadri Hussain; Chee-Ming Ting; Muhammad Arif Jalil; Kanad Ray; Syed Zuhaib Haider Rizvi; Jacob Kavikumar; Fuad M. Noman; Ahmad Zubaidi Ahmad Zubaidi; Yin Fen Low; Sh-Hussain; Mufti Mahmud; M. Shamim Kaiser; et al. (BI, 2021)

A Brief Review of Computation Techniques for ECG Signal Analysis. - Sheikh Hussain Shaikh Salleh; Fuad Noman; Hadri Hussain; Chee-Ming Ting; Syed Rasul Bin G. Syed Hamid; Hadrina Sh-Hussain; Muhammad Arif Jalil; Ahmad Zubaidi Abdul Latif; Syed Zuhaib Haider Rizvi; Kuryati Kipli; Kavikumar Jacob; Kanad Ray; et al. (TCCE, 2021)

Classification of ECG Ventricular Beats Assisted by Gaussian Parameters' Dictionary. - Sh-Hussain Salleh; Fuad Noman; Hadri Hussain; Chee-Ming Ting; Syed Rasul Bin G. Syed Hamid; Hadrina Sh-Hussain; Muhammad Arif Jalil; A. L. Ahmad Zubaidi; Syed Zuhaib Haider Rizvi; Kuryati Kipli; Kavikumar Jacob; Kanad Ray; et al. (TCCE, 2021)

Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI. - Chee-Ming Ting; Jeremy I. Skipper; Steven L. Small; Hernando C. Ombao (CoRR, 2021)

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. - Fuad Noman; Chee-Ming Ting; Hakmook Kang; Raphael C.-W. Phan; Brian D. Boyd; Warren D. Taylor; Hernando C. Ombao (CoRR, 2021)

Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach. - Chee-Ming Ting; S. Balqis Samdin; Meini Tang; Hernando C. Ombao (IEEE Trans. Medical Imaging, 2021)

GraphEx: Facial Action Unit Graph for Micro-Expression Classification. - Shu-Min Leong; Fuad Noman; Raphaël C.-W. Phan; Vishnu Monn Baskaran; Chee-Ming Ting (ICIP, 2022)

Graph Autoencoder-Based Embedded Learning in Dynamic Brain Networks for Autism Spectrum Disorder Identification. - Fuad Noman; Sin-Yee Yap; Raphaël C.-W. Phan; Hernando C. Ombao; Chee-Ming Ting (ICIP, 2022)

Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation. - Yee-Fan Tan; Chee-Ming Ting; Fuad Noman; Raphaël C.-W. Phan; Hernando Ombao (CoRR, 2022)

Markov-switching state-space models with applications to neuroimaging. - David Degras; Chee-Ming Ting; Hernando C. Ombao (Comput. Stat. Data Anal., 2022)

Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI. - Chee-Ming Ting; Jeremy I. Skipper; Fuad Noman; Steven L. Small; Hernando C. Ombao (IEEE Trans. Medical Imaging, 2022)

ELEGANT: End-to-end Language Grounded Speech Denoiser for Efficient Generation of Talking Face. - Ai-Fang Chai; Sailaja Rajanala; Arghya Pal; Raphaël C.-W. Phan; Chee-Ming Ting (APSIPA ASC, 2023)

A Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification. - Yee-Fan Tan; Chee-Ming Ting; Fuad Noman; Raphaël C.-W. Phan; Hernando C. Ombao (ICIP, 2023)

RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection. - Ming Kang 002; Chee-Ming Ting; Fung Fung Ting; Raphaël C.-W. Phan (MICCAI (4), 2023)

A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification. - Junn Yong Loo; Sin-Yee Yap; Fuad Noman; Raphael C.-W. Phan; Chee-Ming Ting (CoRR, 2023)

Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes. - Junn Yong Loo; Ze Yang Ding; Surya Girinatha Nurzaman; Chee-Ming Ting; Vishnu Monn Baskaran; Chee Pin Tan (CoRR, 2023)

BrainFC-CGAN: A Conditional Generative Adversarial Network for Brain Functional Connectivity Augmentation and Aging Synthesis. - Yee-Fan Tan; Junn Yong Loo; Chee-Ming Ting; Fuad Noman; Raphaël C.-W. Phan; Hernando Ombao (ICASSP, 2024)

Cafct-Net: A Cnn-Transformer Hybrid Network With Contextual And Attentional Feature Fusion For Liver Tumor Segmentation. - Ming Kang 002; Chee-Ming Ting; Fung Fung Ting; Raphaël C.-W. Phan (ICIP, 2024)

CST-Yolo: A Novel Method For Blood Cell Detection Based On Improved Yolov7 And CNN-Swin Transformer. - Ming Kang 002; Chee-Ming Ting; Fung Fung Ting; Raphaël C.-W. Phan (ICIP, 2024)

Deep Multi-Graph Embedded Clustering for Community Detection in FMRI Functional Brain Networks Across Individuals. - Kai-Jun See; Chee-Ming Ting; Fuad Noman; Junn Yong Loo; Yee-Fan Tan; Hernando Ombao; Raphaël C.-W. Phan (ICIP, 2024)

A Preconditioning Approach To Optimizing Sensing Matrix For Improved Compressed Sensing CT Reconstruction. - Prasad Theeda; Chee-Ming Ting; Arghya Pal; Hernando Ombao (ICIP, 2024)

Dynamic MRI Reconstruction Using Low-Rank Plus Sparse Decomposition With Smoothness Regularization. - Chee-Ming Ting; Fuad Noman; Raphaël C.-W. Phan; Hernando Ombao (ICIP, 2024)

A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification. - Sin-Yee Yap; Junn Yong Loo; Chee-Ming Ting; Fuad Noman; Raphaël C.-W. Phan; Adeel Razi; David L. Dowe (IJCAI, 2024)

fMRI Functional Connectivity Augmentation Using Convolutional Generative Adversarial Networks for Brain Disorder Classification. - Yee-Fan Tan; Chee-Ming Ting; Fuad Noman; Raphaël C.-W. Phan; Hernando Ombao (ISBI, 2024)

BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection. - Ming Kang 002; Chee-Ming Ting; Fung Fung Ting; Raphaël C.-W. Phan (MICCAI (8), 2024)

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes. - Hwa Hui Tew; Gaoxuan Li; Fan Ding; Xuewen Luo; Junn Yong Loo; Chee-Ming Ting; Ze Yang Ding; Chee Pin Tan (SMC, 2024)

Node-Based Graph Convolutional Network With SLIC Method for Breast Cancer Ultrasound Images Classification. - Kien Trang; Fung Fung Ting; Bao Quoc Vuong; Chee-Ming Ting (IEEE Access, 2024)

CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation. - Ming Kang 002; Chee-Ming Ting; Fung Fung Ting; Raphaël C.-W. Phan (CoRR, 2024)

A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities. - Ming Kang 002; Fung Fung Ting; Raphaël C.-W. Phan; Zongyuan Ge; Chee-Ming Ting (CoRR, 2024)

Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling. - Junn Yong Loo; Michelle Adeline; Arghya Pal; Vishnu Monn Baskaran; Chee-Ming Ting; Raphael C.-W. Phan (CoRR, 2024)

ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation. - Ming Kang 002; Chee-Ming Ting; Fung Fung Ting; Raphaël C.-W. Phan (Image Vis. Comput., 2024)

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. - Fuad Noman; Chee-Ming Ting; Hakmook Kang; Raphaël C.-W. Phan; Hernando C. Ombao (IEEE J. Biomed. Health Informatics, 2024)

ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing. - Hwa Hui Tew; Fan Ding; Gaoxuan Li; Junn Yong Loo; Chee-Ming Ting; Ze Yang Ding; Chee Pin Tan (ICASSP, 2025)

HG-YOLO: Improving Tumor Detection with PP-HGNet and Global Attention Mechanism. - Kien Trang; Bao Quoc Vuong; An Hoang Nguyen; Fung Fung Ting; Chee-Ming Ting (ICCSA (1), 2025)

Connectome-GTC: A Unified Framework for Brain Functional and Structural Connectomes Generation, Translation, and Classification. - Yee-Fan Tan; Pei-Sze Tan; Fuad Noman; Raphael C.-W. Phan; Hernando Ombao; Chee-Ming Ting (ISBI, 2025)

PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices. - Ming Kang 002; Fung Fung Ting; Raphaël C.-W. Phan; Chee-Ming Ting (WACV, 2025)

Validity and reliability of the ultra-short-term heart rate variability features in predicting ventricular tachyarrhythmia. - Thion Ming Chieng; Yuan Wen Hau; Zaid Bin Omar; Chiao Wen Lim; Chee-Ming Ting; Satria Mandala (Biomed. Signal Process. Control., 2025)

Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching. - Junn Yong Loo; Fang Yu Leong; Michelle Adeline; Julia Kaiwen Lau; Hwa Hui Tew; Arghya Pal; Vishnu Monn Baskaran; Chee-Ming Ting; Raphaël C.-W. Phan (Trans. Mach. Learn. Res., 2025)

SFC-GAN: A Generative Adversarial Network for Brain Functional and Structural Connectome Translation. - Yee-Fan Tan; Jun Lin Liow; Pei-Sze Tan; Fuad Noman; Raphael C.-W. Phan; Hernando Ombao; Chee-Ming Ting (CoRR, 2025)

Denoising via Repainting: an image denoising method using layer wise medical image repainting. - Arghya Pal; Sailaja Rajanala; Chee-Ming Ting; Raphael C.-W. Phan (CoRR, 2025)