Tong Boon Tang
Orcid: 0000-0002-5721-6828
According to our database1,
Tong Boon Tang
authored at least 59 papers
between 2003 and 2024.
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Bibliography
2024
Implementation of a Convolutional Neural Network Into an Embedded Device for Polyps Detection.
IEEE Embed. Syst. Lett., March, 2024
2023
Advancements in Numerical Methods for Forward and Inverse Problems in Functional near Infra-Red Spectroscopy: A Review.
Axioms, April, 2023
Microstates of Dynamic Directed Connectivity Networks Revealing Visual Color Influences on the Brain Information Processing During Learning.
IEEE Access, 2023
Modelling Major Depressive Disorder Antidepressant Treatment Response: A miRNA-based Machine Learning Study.
Proceedings of the IEEE Region 10 Conference, 2023
Investigation on Light-Weight Deep Learning Model for Emotion Recognition Using Facial Expressions.
Proceedings of the IEEE Region 10 Conference, 2023
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023
Numerical Solution of Inverse Problem in Functional Near Infrared Spectroscopy using L1-Norm Method.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy.
IEEE Trans. Biomed. Circuits Syst., 2022
Sensors, 2022
Correction to: A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility.
Neuroinformatics, 2022
A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility.
Neuroinformatics, 2022
Non-Oscillatory Connectivity Approach for Classification of Autism Spectrum Disorder Subtypes Using Resting-State fMRI.
IEEE Access, 2022
Decoding the User's Movements Preparation From EEG Signals Using Vision Transformer Architecture.
IEEE Access, 2022
2021
Automatic Polyp Segmentation in Colonoscopy Images Using a Modified Deep Convolutional Encoder-Decoder Architecture.
Sensors, 2021
Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches.
Comput. Methods Programs Biomed., 2021
2020
Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans.
Comput. Methods Programs Biomed., 2020
Functional Near-Infrared Spectroscopy Adaptive Cognitive Training System (FACTS) for Cognitive Underload and Overload Prevention: A Feasibility Study.
IEEE Access, 2020
Retinal Fluid Segmentation Using Ensembled 2-Dimensionally and 2.5-Dimensionally Deep Learning Networks.
IEEE Access, 2020
A Study on fNIRS-Based Working Memory Load Assessment and Potential Issues with Extracerebral Artifacts.
Proceedings of the 2020 IEEE Region 10 Conference, 2020
Characterizing Functional Near Infrared Spectroscopy (fNIRS)-based Connectivity as Cost-effective Small World Network using Orthogonal Minimal Spanning Trees (OMSTs).
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Performance Evaluation Of Convolutions And Atrous Convolutions In Deep Networks For Retinal Disease Segmentation On Optical Coherence Tomography Volumes.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
J. Electronic Imaging, 2019
Exploring EEG Effective Connectivity Network in Estimating Influence of Color on Emotion and Memory.
Frontiers Neuroinformatics, 2019
Unsupervised Method for Retinal Vessel Segmentation Based on Gabor Wavelet and Multiscale Line Detector.
IEEE Access, 2019
IEEE Access, 2019
2018
Effectiveness Evaluation of Real-Time Scalp Signal Separating Algorithm on Near-Infrared Spectroscopy Neurofeedback.
IEEE J. Biomed. Health Informatics, 2018
Medical Biol. Eng. Comput., 2018
Optimizing Mental Workload by Functional Near-Infrared Spectroscopy Based Dynamic Difficulty Adjustment.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Functional Connectivity Analysis on Mild Alzheimer's Disease, Mild Cognitive Impairment and Normal Aging using fNIRS.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Fusing Results of Several Deep Learning Architectures for Automatic Classification of Normal and Diabetic Macular Edema in Optical Coherence Tomography.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
IEICE Electron. Express, 2017
Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction.
Comput. Biol. Medicine, 2017
IEEE Access, 2017
Dynamic point stochastic rounding algorithm for limited precision arithmetic in Deep Belief Network training.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017
Dynamic optimization of mental workload in fNIRS-BCI system for cognitive rehabilitation.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017
Transfer learning for Diabetic Macular Edema (DME) detection on Optical Coherence Tomography (OCT) images.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017
2016
Design of Helical Capacitance Sensor for Holdup Measurement in Two-Phase Stratified Flow: A Sinusoidal Function Approach.
Sensors, 2016
IEICE Electron. Express, 2016
Proceedings of the Computers Helping People with Special Needs, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
IEEE Trans. Intell. Transp. Syst., 2015
Default mode functional connectivity estimation and visualization framework for MEG data.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015
Simultaneous measurement of EEG-fNIRS in classifying and localizing brain activation to mental stress.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
A High Resolution Capacitive Sensing System for the Measurement of Water Content in Crude Oil.
Sensors, 2014
2013
Proceedings of the 2013 IEEE International Conference on Control System, 2013
2012
A framework to study time-dependent variability in circuits at sub-35nm technology nodes.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012
2011
2010
IEEE Trans. Circuits Syst. I Regul. Pap., 2010
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
2009
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
2007
Adaptive sensor modelling and classification using a continuous restricted Boltzmann machine (CRBM).
Neurocomputing, 2007
2006
Ameliorating integrated sensor drift and imperfections : an adaptive 'neural' approach.
PhD thesis, 2006
2004
Implementation of multichannel sensors for remote biomedical measurements in a microsystems format.
IEEE Trans. Biomed. Eng., 2004
2003
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003