Chee-Ming Ting

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 51

Top Topics

Brain Connectivity

Signal Analysis

Tumor Detection

Convolutional Neural Networks

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation. CoRR (2024)
Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphaël C.-W. Phan, Hernando C. Ombao
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Junn Yong Loo, Michelle Adeline, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphael C.-W. Phan
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling. CoRR (2024)
Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao
Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization. CoRR (2024)
Ming Kang, Fung Fung Ting, Raphaël C.-W. Phan, Zongyuan Ge, Chee-Ming Ting
A Multimodal Feature Distillation with CNN-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities. CoRR (2024)
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation. Image Vis. Comput. 147 (2024)
Yee-Fan Tan, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao
BrainFC-CGAN: A Conditional Generative Adversarial Network for Brain Functional Connectivity Augmentation and Aging Synthesis. ICASSP (2024)
Junn Yong Loo, Ze Yang Ding, Surya Girinatha Nurzaman, Chee-Ming Ting, Vishnu Monn Baskaran, Chee Pin Tan
Unsupervised Cross-Domain Soft Sensor Modelling via A Deep Bayesian Particle Flow Framework. CoRR (2023)
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer. CoRR (2023)
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection. CoRR (2023)
Junn Yong Loo, Sin-Yee Yap, Fuad Noman, Raphael CW Phan, Chee-Ming Ting
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification. CoRR (2023)
Yee-Fan Tan, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao
A Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification. ICIP (2023)
Ai-Fang Chai, Sailaja Rajanala, Arghya Pal, Raphaël C.-W. Phan, Chee-Ming Ting
ELEGANT: End-to-end Language Grounded Speech Denoiser for Efficient Generation of Talking Face. APSIPA ASC (2023)
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation. CoRR (2023)
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection. CoRR (2023)
Ming Kang, Chee-Ming Ting, Fung Fung Ting, Raphaël C.-W. Phan
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor Detection. MICCAI (4) (2023)
Chee-Ming Ting, Jeremy I. Skipper, Fuad Noman, Steven L. Small, Hernando Ombao
Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI. IEEE Trans. Medical Imaging 41 (6) (2022)
David Degras, Chee-Ming Ting, Hernando Ombao
Markov-switching state-space models with applications to neuroimaging. Comput. Stat. Data Anal. 174 (2022)
Shu-Min Leong, Fuad Noman, Raphaël C.-W. Phan, Vishnu Monn Baskaran, Chee-Ming Ting
GraphEx: Facial Action Unit Graph for Micro-Expression Classification. ICIP (2022)
Fuad Noman, Sin-Yee Yap, Raphaël C.-W. Phan, Hernando Ombao, Chee-Ming Ting
Graph Autoencoder-Based Embedded Learning in Dynamic Brain Networks for Autism Spectrum Disorder Identification. ICIP (2022)
Yee-Fan Tan, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao
Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation. CoRR (2022)
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, M. Shamim Kaiser, Mufti Mahmud, Jalil Ali
Classification of ECG Ventricular Beats Assisted by Gaussian Parameters' Dictionary. TCCE (2021)
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, M. Shamim Kaiser, Mufti Mahmud, Jalil Ali
A Brief Review of Computation Techniques for ECG Signal Analysis. TCCE (2021)
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, Sheikh Hussain Shaikh Salleh, Jalil Ali
Enhanced Signal Processing Using Modified Cyclic Shift Tree Denoising. AII (2021)
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
Key Techniques and Challenges for Processing of Heart Sound Signals. AII (2021)
Chee-Ming Ting, Jeremy I. Skipper, Steven L. Small, Hernando Ombao
Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI. CoRR (2021)
Hadri Hussain, Chee-Ming Ting, Muhammad Arif Jalil, Kanad Ray, S. Z. H. Rizvi, Jacob Kavikumar, Fuad M. Noman, Ahmad Zubaidi Ahmad Zubaidi, Yin Fen Low, Sh-Hussain, Mufti Mahmud, M. Shamim Kaiser, Jalil Ali
Identifying Individuals Using EEG-Based Brain Connectivity Patterns. BI (2021)
Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphael C.-W. Phan, Brian D. Boyd, Warren D. Taylor, Hernando Ombao
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. CoRR (2021)
Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando Ombao
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach. IEEE Trans. Medical Imaging 40 (2) (2021)
Chun-Ren Phang, Fuad Noman, Hadri Hussain, Chee-Ming Ting, Hernando Ombao
A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns. IEEE J. Biomed. Health Informatics 24 (5) (2020)
Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando Ombao
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach. CoRR (2020)
Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, S. Balqis Samdin, Hernando Ombao, Hadri Hussain
A Markov-Switching Model Approach to Heart Sound Segmentation and Classification. IEEE J. Biomed. Health Informatics 24 (3) (2020)
Chee-Ming Ting, Hernando Ombao, Sh-Hussain Salleh, Ahmad Zubaidi Abdul Latif
Multi-Scale Factor Analysis of High-Dimensional Functional Connectivity in Brain Networks. IEEE Trans. Netw. Sci. Eng. 7 (1) (2020)
Xu Gao, Weining Shen, Chee-Ming Ting, Steven C. Cramer, Ramesh Srinivasan, Hernando Ombao
Estimating Brain Connectivity Using Copula Gaussian Graphical Models. ISBI (2019)
Chun-Ren Phang, Chee-Ming Ting, S. Balqis Samdin, Hernando Ombao
Classification of EEG-based Effective Brain Connectivity in Schizophrenia using Deep Neural Networks. NER (2019)
Fuad Noman, Chee-Ming Ting, Sh-Hussain Salleh, Hernando Ombao
Short-segment Heart Sound Classification Using an Ensemble of Deep Convolutional Neural Networks. ICASSP (2019)
Chun-Ren Phang, Chee-Ming Ting, Fuad Noman, Hernando Ombao
Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network. CoRR (2019)
S. Balqis Samdin, Chee-Ming Ting, Hernando Ombao
Detecting State Changes in Community Structure of Functional Brain Networks Using a Markov-Switching Stochastic Block Model. ISBI (2019)
Yuxiao Wang, Chee-Ming Ting, Xu Gao, Hernando Ombao
Exploratory Analysis of Brain Signals through Low Dimensional Embedding. NER (2019)
Fuad Noman, Chee-Ming Ting, Sh-Hussain Salleh, Hernando Ombao
Short-segment heart sound classification using an ensemble of deep convolutional neural networks. CoRR (2018)
Hadri Hussain, Sh-Hussain Salleh, Chee-Ming Ting, Fuad Noman, M. M. Mohammad, Ahmad Zubaidi Abdul Latif, Osamah Al-Hamdani
Performance Study for Multimodel Client Identification System Using Cardiac and Speech Signals. ISMICT (2018)
Hernando Ombao, Mark Fiecas, Chee-Ming Ting, Yin Fen Low
Statistical models for brain signals with properties that evolve across trials. NeuroImage 180 (Part) (2018)
Chee-Ming Ting, Hernando Ombao, S. Balqis Samdin, Sh-Hussain Salleh
Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models. IEEE Trans. Medical Imaging 37 (4) (2018)
Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, S. Balqis Samdin, Hernando Ombao, Hadri Hussain
A Markov-Switching Model Approach to Heart Sound Segmentation and Classification. CoRR (2018)
Mahyar Hamedi, Sh-Hussain Salleh, Chee-Ming Ting, Mehdi Astaraki, Alias Mohd Noor
Robust Facial Expression Recognition for MuCI: A Comprehensive Neuromuscular Signal Analysis. IEEE Trans. Affect. Comput. 9 (1) (2018)
S. Balqis Samdin, Chee-Ming Ting, Hernando Ombao, Sh-Hussain Salleh
A Unified Estimation Framework for State-Related Changes in Effective Brain Connectivity. IEEE Trans. Biomed. Eng. 64 (4) (2017)
Hadri Hussain, Chee-Ming Ting, Fuad Numan, M. Nasir Ibrahim, Nur Fariza Izan, M. M. Mohammad, Hadrina Sh-Hussain
Analysis of ECG biosignal recognition for client identifiction. ICSIPA (2017)
Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, Hadri Hussain
Heart sound segmentation using switching linear dynamical models. GlobalSIP (2017)
Abd-Krim Seghouane, Adnan Shah, Chee-Ming Ting
fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift. Digit. Signal Process. 66 (2017)
Yuxiao Wang, Chee-Ming Ting, Hernando Ombao
Modeling Effective Connectivity in High-Dimensional Cortical Source Signals. IEEE J. Sel. Top. Signal Process. 10 (7) (2016)
Chee-Ming Ting, Abd-Krim Seghouane, Sh-Hussain Salleh
Estimation of high-dimensional connectivity in FMRI data via subspace autoregressive models. SSP (2016)
Chee-Ming Ting, Abd-Krim Seghouane, Sheikh Hussain Shaikh Salleh, A. B. Mohd Noor
Estimating Effective Connectivity from fMRI Data Using Factor-based Subspace Autoregressive Models. IEEE Signal Process. Lett. 22 (6) (2015)
Chee-Ming Ting, Abd-Krim Seghouane, Muhammad Usman Khalid, Sh-Hussain Salleh
Is First-Order Vector Autoregressive Model Optimal for fMRI Data? Neural Comput. 27 (9) (2015)
Chee-Ming Ting, Sh-Hussain Salleh, Zaitul Marlizawati Zainuddin, Arifah Bahar
Modeling and estimation of single-trial event-related potentials using partially observed diffusion processes. Digit. Signal Process. 36 (2015)
S. Balqis Samdin, Chee-Ming Ting, Sh-Hussain Salleh, Mahyar Hamedi, A. B. Mohd Noor
Estimating dynamic cortical connectivity from motor imagery EEG using KALMAN smoother & EM algorithm. SSP (2014)
Chee-Ming Ting, Abd-Krim Seghouane, Sheikh Hussain Shaikh Salleh, A. B. Mohd Noor
Estimation of high-dimensional brain connectivity from FMRI data using factor modeling. SSP (2014)
Chee-Ming Ting, Sh-Hussain Salleh, Zaitul Marlizawati Zainuddin, Arifah Bahar
Artifact Removal from Single-Trial ERPs using Non-Gaussian Stochastic Volatility Models and Particle Filter. IEEE Signal Process. Lett. 21 (8) (2014)
S. Balqis Samdin, Chee-Ming Ting, Sh-Hussain Salleh, Ahmad Kamaru Ariff, A. B. Mohd Noor
Linear dynamic models for classification of single-trial EEG. EMBC (2013)
Chee-Ming Ting, Simon King, Sh-Hussain Salleh, Ahmad Kamaru Ariff
Discriminative tandem features for HMM-based EEG classification. EMBC (2013)
Chee-Ming Ting, S. Balqis Samdin, Sh-Hussain Salleh, M. Hafizi Omar, Ismail Kamarulafizam
An expectation-maximization algorithm based Kalman smoother approach for single-trial estimation of event-related potentials. EMBC (2012)
Chee-Ming Ting, Sheikh Hussain Salleh, Zaitul Marlizawati Zainuddin, Arifah Bahar
Spectral Estimation of Nonstationary EEG Using Particle Filtering With Application to Event-Related Desynchronization (ERD). IEEE Trans. Biomed. Eng. 58 (2) (2011)
Lih-Heng Chan, Sheikh Hussain Salleh, Chee-Ming Ting, Ahmad Kamaru Ariff
PCA and LDA-based face verification using back-propagation neural network. ISSPA (2010)
Chee-Ming Ting, Sheikh Hussain Salleh
ECG based personal identification using extended Kalman filter. ISSPA (2010)