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Chee-Ming Ting
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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) - [c27]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 - [i16]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) - [i15]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) - [i14]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) - 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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last updated on 2024-08-06 22:01 CEST by the dblp team
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