Chee-Ming Ting
Orcid: 0000-0002-6037-3728
According to our database1,
Chee-Ming Ting
authored at least 56 papers
between 2010 and 2024.
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Bibliography
2024
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification.
IEEE J. Biomed. Health Informatics, March, 2024
Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization.
CoRR, 2024
CAFCT: Contextual and Attentional Feature Fusions of Convolutional Neural Networks and Transformer for Liver Tumor Segmentation.
CoRR, 2024
2023
ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation.
CoRR, 2023
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection.
CoRR, 2023
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer.
CoRR, 2023
Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes.
CoRR, 2023
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A Unified Framework for Static and Dynamic Functional Connectivity Augmentation for Multi-Domain Brain Disorder Classification.
Proceedings of the IEEE International Conference on Image Processing, 2023
ELEGANT: End-to-end Language Grounded Speech Denoiser for Efficient Generation of Talking Face.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023
2022
Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI.
IEEE Trans. Medical Imaging, 2022
Comput. Stat. Data Anal., 2022
Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation.
CoRR, 2022
Graph Autoencoder-Based Embedded Learning in Dynamic Brain Networks for Autism Spectrum Disorder Identification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Detecting Dynamic Community Structure in Functional Brain Networks Across Individuals: A Multilayer Approach.
IEEE Trans. Medical Imaging, 2021
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification.
CoRR, 2021
Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI.
CoRR, 2021
TCCE, 2021
Proceedings of the Brain Informatics - 14th International Conference, 2021
2020
Multi-Scale Factor Analysis of High-Dimensional Functional Connectivity in Brain Networks.
IEEE Trans. Netw. Sci. Eng., 2020
A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns.
IEEE J. Biomed. Health Informatics, 2020
IEEE J. Biomed. Health Informatics, 2020
2019
Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network.
CoRR, 2019
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Classification of EEG-based Effective Brain Connectivity in Schizophrenia using Deep Neural Networks.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Detecting State Changes in Community Structure of Functional Brain Networks Using a Markov-Switching Stochastic Block Model.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Short-segment Heart Sound Classification Using an Ensemble of Deep Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
IEEE Trans. Medical Imaging, 2018
Robust Facial Expression Recognition for MuCI: A Comprehensive Neuromuscular Signal Analysis.
IEEE Trans. Affect. Comput., 2018
NeuroImage, 2018
CoRR, 2018
Performance Study for Multimodel Client Identification System Using Cardiac and Speech Signals.
Proceedings of the 12th International Symposium on Medical Information and Communication Technology, 2018
2017
A Unified Estimation Framework for State-Related Changes in Effective Brain Connectivity.
IEEE Trans. Biomed. Eng., 2017
fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift.
Digit. Signal Process., 2017
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
2016
IEEE J. Sel. Top. Signal Process., 2016
Estimation of high-dimensional connectivity in FMRI data via subspace autoregressive models.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
2015
Estimating Effective Connectivity from fMRI Data Using Factor-based Subspace Autoregressive Models.
IEEE Signal Process. Lett., 2015
Neural Comput., 2015
Modeling and estimation of single-trial event-related potentials using partially observed diffusion processes.
Digit. Signal Process., 2015
2014
Artifact Removal from Single-Trial ERPs using Non-Gaussian Stochastic Volatility Models and Particle Filter.
IEEE Signal Process. Lett., 2014
Estimation of high-dimensional brain connectivity from FMRI data using factor modeling.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014
Estimating dynamic cortical connectivity from motor imagery EEG using KALMAN smoother & EM algorithm.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014
2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
An expectation-maximization algorithm based Kalman smoother approach for single-trial estimation of event-related potentials.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Spectral Estimation of Nonstationary EEG Using Particle Filtering With Application to Event-Related Desynchronization (ERD).
IEEE Trans. Biomed. Eng., 2011
2010
Proceedings of the 10th International Conference on Information Sciences, 2010
Proceedings of the 10th International Conference on Information Sciences, 2010