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)

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)

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)

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)

Lightning Mapping: Techniques, Challenges, and Opportunities. - Ammar Alammari; Ammar Ahmed Alkahtani; Mohd Riduan Ahmad; Fuad Noman; Mona Riza Mohd Esa; Zen Kawasaki; Sieh Kiong Tiong (IEEE Access, 2020)

Comprehensive Review of Wind Energy in Malaysia: Past, Present, and Future Research Trends. - Fuad Noman; Gamal Abdulnaser Alkawsi; Dallatu Abbas; Ammar Ahmed Alkahtani; Sieh Kiong Tiong; Janaka Ekanayake (IEEE Access, 2020)

Kalman Filter and Wavelet Cross-correlation for VHF Broadband Interferometer Lightning Mapping. - Ammar Alammari; Ammar Ahmed Alkahtani; Mohd Riduan Ahmad; Fuad Noman; Mona Riza Mohd Esa; Muhammad Haziq Mohamad Sabri; Sulaiman Ali Mohammad; Ahmed Salih Al-Khaleefa; Zen Kawasaki; Vassilios G. Agelidis (CoRR, 2020)

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)

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)

Deep-Learning-Based Approach for Iraqi and Malaysian Vehicle License Plate Recognition. - Dhuha Habeeb; Fuad Noman; Ammar Ahmed Alkahtani; Yazan A. Alsariera; Gamal Alkawsi 001; Yousef Fazea; Ammar Mohammed Al-jubari (Comput. Intell. Neurosci., 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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)