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2020 – today
- 2024
[j19]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: 105057 (2024)- [j18]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): 1644-1655 (2024) - [c30]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: 1511-1515 - [c29]Sin-Yee Yap, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Adeel Razi, David L. Dowe:
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification. IJCAI 2024: 5353-5361 - [c28]Yee-Fan Tan, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao:
fMRI Functional Connectivity Augmentation Using Convolutional Generative Adversarial Networks for Brain Disorder Classification. ISBI 2024: 1-5 - [c27]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. MICCAI (8) 2024: 35-45 - [i17]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 abs/2401.16886 (2024) - [i16]Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao:
Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization. CoRR abs/2401.16928 (2024) - [i15]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 abs/2404.14019 (2024) - [i14]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 abs/2407.15238 (2024) - 2023
- [c26]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: 833-838 - [c25]Yee-Fan Tan, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando C. Ombao:
A Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification. ICIP 2023: 635-639 - [c24]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: 600-610 - [i13]Junn Yong Loo, Sin-Yee Yap, Fuad Noman, Raphael C.-W. Phan, Chee-Ming Ting:
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification. CoRR abs/2302.07243 (2023) - [i12]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 Deep Physics-Inspired Particle Flow Bayes. CoRR abs/2306.04919 (2023) - [i11]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 abs/2306.14590 (2023) - [i10]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 abs/2307.16412 (2023) - [i9]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 abs/2309.12585 (2023) - [i8]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 abs/2312.06458 (2023) - 2022
- [j17]David Degras, Chee-Ming Ting, Hernando C. Ombao:
Markov-switching state-space models with applications to neuroimaging. Comput. Stat. Data Anal. 174: 107525 (2022) - [j16]Chee-Ming Ting, Jeremy I. Skipper, Fuad Noman, Steven L. Small, Hernando C. Ombao:
Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI. IEEE Trans. Medical Imaging 41(6): 1431-1442 (2022) - [c23]Fuad Noman, Sin-Yee Yap, Raphaël C.-W. Phan, Hernando C. Ombao, Chee-Ming Ting:
Graph Autoencoder-Based Embedded Learning in Dynamic Brain Networks for Autism Spectrum Disorder Identification. ICIP 2022: 2891-2895 - [c22]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: 3296-3300 - [i7]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 abs/2212.05316 (2022) - 2021
- [j15]Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando C. Ombao:
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach. IEEE Trans. Medical Imaging 40(2): 468-480 (2021) - [c21]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: 136-149 - [c20]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: 150-160 - [c19]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, Jalil Ali:
Identifying Individuals Using EEG-Based Brain Connectivity Patterns. BI 2021: 124-135 - [c18]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: 223-234 - [c17]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: 533-548 - [i6]Chee-Ming Ting, Jeremy I. Skipper, Steven L. Small, Hernando C. Ombao:
Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI. CoRR abs/2102.10331 (2021) - [i5]Fuad Noman, Chee-Ming Ting, Hakmook Kang, Raphael C.-W. Phan, Brian D. Boyd, Warren D. Taylor, Hernando C. Ombao:
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. CoRR abs/2107.12838 (2021) - 2020
- [j14]Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, S. Balqis Samdin, Hernando C. Ombao, Hadri Hussain:
A Markov-Switching Model Approach to Heart Sound Segmentation and Classification. IEEE J. Biomed. Health Informatics 24(3): 705-716 (2020) - [j13]Chun-Ren Phang, Fuad Noman, Hadri Hussain, Chee-Ming Ting, Hernando C. Ombao:
A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns. IEEE J. Biomed. Health Informatics 24(5): 1333-1343 (2020) - [j12]Chee-Ming Ting, Hernando C. 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): 449-465 (2020) - [i4]Chee-Ming Ting, S. Balqis Samdin, Meini Tang, Hernando C. Ombao:
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach. CoRR abs/2004.04362 (2020)
2010 – 2019
- 2019
- [c16]Fuad Noman, Chee-Ming Ting, Sh-Hussain Salleh, Hernando C. Ombao:
Short-segment Heart Sound Classification Using an Ensemble of Deep Convolutional Neural Networks. ICASSP 2019: 1318-1322 - [c15]Xu Gao, Weining Shen, Chee-Ming Ting, Steven C. Cramer, Ramesh Srinivasan, Hernando C. Ombao:
Estimating Brain Connectivity Using Copula Gaussian Graphical Models. ISBI 2019: 108-112 - [c14]S. Balqis Samdin, Chee-Ming Ting, Hernando C. Ombao:
Detecting State Changes in Community Structure of Functional Brain Networks Using a Markov-Switching Stochastic Block Model. ISBI 2019: 1483-1487 - [c13]Chun-Ren Phang, Chee-Ming Ting, S. Balqis Samdin, Hernando C. Ombao:
Classification of EEG-based Effective Brain Connectivity in Schizophrenia using Deep Neural Networks. NER 2019: 401-406 - [c12]Yuxiao Wang, Chee-Ming Ting, Xu Gao, Hernando C. Ombao:
Exploratory Analysis of Brain Signals through Low Dimensional Embedding. NER 2019: 997-1002 - [i3]Chun-Ren Phang, Chee-Ming Ting, Fuad Noman, Hernando C. Ombao:
Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network. CoRR abs/1903.08858 (2019) - 2018
- [j11]Hernando C. Ombao, Mark Fiecas, Chee-Ming Ting, Yin Fen Low:
Statistical models for brain signals with properties that evolve across trials. NeuroImage 180(Part): 609-618 (2018) - [j10]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): 102-115 (2018) - [j9]Chee-Ming Ting, Hernando C. Ombao, S. Balqis Samdin, Sh-Hussain Salleh:
Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models. IEEE Trans. Medical Imaging 37(4): 1011-1023 (2018) - [c11]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: 1-6 - [i2]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 abs/1809.03395 (2018) - [i1]Fuad Noman, Chee-Ming Ting, Sh-Hussain Salleh, Hernando C. Ombao:
Short-segment heart sound classification using an ensemble of deep convolutional neural networks. CoRR abs/1810.11573 (2018) - 2017
- [j8]Abd-Krim Seghouane, Adnan Shah, Chee-Ming Ting:
fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift. Digit. Signal Process. 66: 29-41 (2017) - [j7]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): 844-858 (2017) - [c10]Fuad Noman, Sh-Hussain Salleh, Chee-Ming Ting, Hadri Hussain:
Heart sound segmentation using switching linear dynamical models. GlobalSIP 2017: 1000-1004 - [c9]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: 15-20 - 2016
- [j6]Yuxiao Wang, Chee-Ming Ting, Hernando C. Ombao:
Modeling Effective Connectivity in High-Dimensional Cortical Source Signals. IEEE J. Sel. Top. Signal Process. 10(7): 1315-1325 (2016) - [c8]Chee-Ming Ting, Abd-Krim Seghouane, Sh-Hussain Salleh:
Estimation of high-dimensional connectivity in FMRI data via subspace autoregressive models. SSP 2016: 1-5 - 2015
- [j5]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: 128-143 (2015) - [j4]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): 1857-1871 (2015) - [j3]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): 757-761 (2015) - 2014
- [j2]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): 923-927 (2014) - [c7]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: 73-76 - [c6]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: 181-184 - 2013
- [c5]Chee-Ming Ting, Simon King, Sh-Hussain Salleh, Ahmad Kamaru Ariff:
Discriminative tandem features for HMM-based EEG classification. EMBC 2013: 3957-3960 - [c4]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: 4827-4830 - 2012
- [c3]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: 6534-6538 - 2011
- [j1]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): 321-331 (2011) - 2010
- [c2]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: 728-732 - [c1]Chee-Ming Ting, Sheikh Hussain Salleh:
ECG based personal identification using extended Kalman filter. ISSPA 2010: 774-777
Coauthor Index
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