Choong, C.X. and Hasan, R.A. and Tang, T.B. (2024) Development of Resilience Assessment System using Electroencephalogram and Virtual Reality. In: UNSPECIFIED.

Shah, S.A.A. and Shahzad, A. and Alhussein, M. and Goh, C.M. and Aurangzeb, K. and Tang, T.B. and Awais, M. (2024) An Implementation of Multiscale Line Detection and Mathematical Morphology for Efficient and Precise Blood Vessel Segmentation in Fundus Images. Computers, Materials and Continua, 79 (2). pp. 2565-2583.

Lu, C.-K. and Liew, W.S. and Tang, T.B. and Lin, C.-H. (2024) Implementation of a Convolutional Neural Network Into an Embedded Device for Polyps Detection. IEEE Embedded Systems Letters, 16 (1). pp. 5-8. ISSN 19430663

Ho, C.S.H. and Tan, T.W.K. and Khoe, H.C.H. and Chan, Y.L. and Tay, G.W.N. and Tang, T.B. (2024) Using an Interpretable Amino Acid-Based Machine Learning Method to Enhance the Diagnosis of Major Depressive Disorder. Journal of Clinical Medicine, 13 (5).

Hussain, A. and Faye, I. and Muthuvalu, M.S. and Tang, T.B. and Zafar, M. (2023) Advancements in Numerical Methods for Forward and Inverse Problems in Functional near Infra-Red Spectroscopy: A Review. Axioms, 12 (4).

Idris, Z. and Reza, M.F. and Zakaria, Z. and Ghani, A.R.I. and Ismail, M.I. and Yee, A.S. and Fitzrol, D.N. and Latif, M.H.A. and Tang, T.B. and Abdullah, J.M. (2023) Clinical magnetoencephalography: Eloquent brain area, brainwaves augmentation and MEG-based brain network with coherence and power spectral density changes. Nova Science Publishers, Inc., pp. 97-114. ISBN 9798886977325; 9798886976762

Idris, Z. and Yee, A.S. and Wan Hassan, W.M.N. and Hassan, M.H. and Mukmin, L.A. and Zain, K.A.M. and Manaf, A.A. and Balandong, R.P. and Tang, T.B. (2023) Clinical outcomes and thermodynamics aspect of direct brain cooling in severe head injury. Surgical Neurology International, 14.

Lin, Y.-J. and Ding, S.Y. and Lu, C.-K. and Tang, T.B. and Shen, J.-Y. (2023) Emotion Prediction in Music Based on Artificial Intelligence Techniques. In: UNSPECIFIED.

Husain, S.F. and Chiang, S.K. and Vasu, A.A. and Goh, C.P. and McIntyre, R.S. and Tang, T.B. and Tran, B.X. and Dang, T.H.T. and Nguyen, T.T. and Ho, R.C. and Ho, C.S. (2023) Functional Near-Infrared Spectroscopy of English-Speaking Adults With Attention-Deficit/Hyperactivity Disorder During a Verbal Fluency Task. Journal of Attention Disorders, 27 (13). pp. 1448-1459.

Ding, S.Y. and Tang, T.B. and Lu, C.-K. (2023) Investigation on Light-Weight Deep Learning Model for Emotion Recognition Using Facial Expressions. In: UNSPECIFIED.

Chai, M.T. and Tang, T.B. (2023) Microstates of Dynamic Directed Connectivity Networks Revealing Visual Color Influences on the Brain Information Processing During Learning. IEEE Access, 11. pp. 14256-14273. ISSN 21693536

Lee, L.H. and Ho, C.S.H. and Tay, G.W.N. and Lu, C.-K. and Tang, T.B. (2023) Modelling Major Depressive Disorder Antidepressant Treatment Response: A miRNA-based Machine Learning Study. In: UNSPECIFIED.

Hussain, A. and Faye, I. and Muthuvalu, M.S. and Tang, T.B. (2023) Numerical Solution of Inverse Problem in Functional Near Infrared Spectroscopy using L1-Norm Method. In: UNSPECIFIED.

Esguerra, K. and Nasir, M. and Tang, T.B. and Tumian, A. and Ho, E.T.W. (2023) Sparsity-Aware Orthogonal Initialization of Deep Neural Networks. IEEE Access, 11. pp. 74165-74181.

Wang, C. and Zhang, Y. and Lim, L.G. and Cao, W. and Zhang, W. and Wan, X. and Fan, L. and Liu, Y. and Zhang, X. and Tian, Z. and Liu, X. and Pan, X. and Zheng, Y. and Pan, R. and Tan, Y. and Zhang, Z. and McIntyre, R.S. and Li, Z. and Ho, R.C.M. and Tang, T.B. (2023) An fNIRS investigation of novel expressed emotion stimulations in schizophrenia. Scientific Reports, 13 (1).

Eu, C.Y. and Tang, T.B. and Lu, C.-K. (2022) Automatic Polyp Segmentation in Colonoscopy Images Using Single Network Model: SegNet. Lecture Notes in Electrical Engineering, 758. pp. 717-723. ISSN 18761100

Liew, W.S. and Tang, T.B. and Lu, C.-K. (2022) Computer-Aided Diagnostic Tool for Classification of Colonic Polyp Assessment. Lecture Notes in Electrical Engineering, 758. pp. 735-743. ISSN 18761100

Abrams, M.B. and Bjaalie, J.G. and Das, S. and Egan, G.F. and Ghosh, S.S. and Goscinski, W.J. and Grethe, J.S. and Kotaleski, J.H. and Ho, E.T.W. and Kennedy, D.N. and Lanyon, L.J. and Leergaard, T.B. and Mayberg, H.S. and Milanesi, L. and Mou�ek, R. and Poline, J.B. and Roy, P.K. and Strother, S.C. and Tang, T.B. and Tiesinga, P. and Wachtler, T. and Wójcik, D.K. and Martone, M.E. (2022) Correction to: A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility (Neuroinformatics, (2022), 20, 1, (25-36), 10.1007/s12021-020-09509-0). Neuroinformatics, 20 (1). pp. 37-38. ISSN 15392791

Al-Quraishi, M.S. and Elamvazuthi, I. and Tang, T.B. and Al-Qurishi, M.S. and Adil, S.H. and Ebrahim, M. and Borboni, A. (2022) Decoding the User's Movements Preparation From EEG Signals Using Vision Transformer Architecture. IEEE Access, 10. pp. 109446-109459. ISSN 21693536

Aujih, A.B. and Shapiai, M.I. and Meriaudeau, F. and Tang, T.B. (2022) EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy. IEEE Transactions on Biomedical Circuits and Systems, 16 (3). pp. 467-478. ISSN 19324545

Tan, P.S. and Tang, T.B. and Ho, E.T.W. (2022) Explainable Artificial Intelligence Applied to Deep Reinforcement Learning Controllers for Photovoltaic Maximum Power Point Tracking. In: UNSPECIFIED.

Abdullah, T.A.A. and Zahid, M.S.B.M. and Tang, T.B. and Ali, W. and Nasser, M. (2022) Explainable Deep Learning Model for Cardiac Arrhythmia Classification. In: UNSPECIFIED.

Hasan, R.A. and Ali, S.S.A. and Tang, T.B. and Yusoff, M.S.B. (2022) Finding the EEG Footprint of Stress Resilience. Lecture Notes in Electrical Engineering, 758. pp. 807-816. ISSN 18761100

Ho, C.S. and Chan, Y.L. and Tan, T.W. and Tay, G.W. and Tang, T.B. (2022) Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data. Journal of Psychiatric Research, 147. pp. 194-202. ISSN 00223956

Sadiq, A. and Al-Hiyali, M.I. and Yahya, N. and Tang, T.B. and Khan, D.M. (2022) Non-Oscillatory Connectivity Approach for Classification of Autism Spectrum Disorder Subtypes Using Resting-State fMRI. IEEE Access, 10. pp. 14049-14061. ISSN 21693536

Abu Hasan, R. and Yusoff, M.S.B. and Tang, T.B. and Hafeez, Y. and Mustafa, M.C. and Dzainudin, M. and Bacotang, J. and Al-Saggaf, U.M. and Ali, S.S.A. (2022) Resilience-Building for Mental Health among Early Childhood Educators: A Systematic Review and Pilot-Study towards an EEG-VR Resilience Building Intervention. International Journal of Environmental Research and Public Health, 19 (7). ISSN 16617827

Abrams, M.B. and Bjaalie, J.G. and Das, S. and Egan, G.F. and Ghosh, S.S. and Goscinski, W.J. and Grethe, J.S. and Kotaleski, J.H. and Ho, E.T.W. and Kennedy, D.N. and Lanyon, L.J. and Leergaard, T.B. and Mayberg, H.S. and Milanesi, L. and Mou�ek, R. and Poline, J.B. and Roy, P.K. and Strother, S.C. and Tang, T.B. and Tiesinga, P. and Wachtler, T. and Wójcik, D.K. and Martone, M.E. (2022) A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility. Neuroinformatics, 20 (1). pp. 25-36. ISSN 15392791

Sadiq, A. and Yahya, N. and Tang, T.B. and Hashim, H. and Saad, M.N.M. (2022) Variance Analysis on Functional Connectivity of Resting-state fMRI Signals in Alzheimer's Disease Patients. In: UNSPECIFIED.

Sadiq, A. and Yahya, N. and Tang, T.B. and Hashim, H. and Naseem, I. (2022) Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimer�s Disease. Sensors, 22 (9). ISSN 14248220

Liew, W.S. and Tang, T.B. and Lin, C.-H. and Lu, C.-K. (2021) Automatic colonic polyp detection using integration of modified deep residual convolutional neural network and ensemble learning approaches. Computer Methods and Programs in Biomedicine, 206. ISSN 01692607

Eu, C.Y. and Tang, T.B. and Lin, C.-H. and Lee, L.H. and Lu, C.-K. (2021) Automatic polyp segmentation in colonoscopy images using a modified deep convolutional encoder-decoder architecture. Sensors, 21 (16). ISSN 14248220

Al-Quraishi, M.S. and Elamvazuthi, I. and Tang, T.B. and Al-Qurishi, M. and Adil, S.H. and Ebrahim, M. (2021) Bimodal data fusion of simultaneous measurements of EEG and fNIRS during lower limb movements. Brain Sciences, 11 (6). ISSN 20763425

Azlan, N.A.N. and Elamvazuthi, I. and Tang, T.B. and Lu, C.-K. (2021) Breast Cancer Detection by Hybrid Techniques based on Deep Learning Networks. In: UNSPECIFIED.

Sadiq, A. and Yahya, N. and Tang, T.B. (2021) Classification of Alzheimer's Disease using Low Frequency Fluctuation of rs-fMRI Signals. In: UNSPECIFIED.

Aujih, A.B. and Shapiai, M.I. and Meriaudeau, F. and Tang, T.B. (2021) DR-Net with Convolution Neural Network. In: UNSPECIFIED.

Abd Aziz, A. and Izhar, L.I. and Asirvadam, V.S. and Tang, T.B. and Ajam, A. and Omar, Z. and Muda, S. (2021) Detection of Collaterals from Cone-Beam CT Images in Stroke. Sensors (Basel, Switzerland), 21 (23). ISSN 14248220

Tang, T.B. and Chong, J.S. and Kiguchi, M. and Funane, T. and Lu, C.-K. (2021) Detection of Emotional Sensitivity Using fNIRS Based Dynamic Functional Connectivity. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29. pp. 894-904. ISSN 15344320

Al-Quraishi, M.S. and Elamvazuthi, I. and Tang, T.B. and Al-Qurishi, M. and Parasuraman, S. and Borboni, A. (2021) Detection of Lower Limb Movements using Sensorimotor Rhythms. In: UNSPECIFIED.

Aziz, A.A. and Izhar, L.I. and Asirvadam, V.S. and Tang, T.B. and Ajam, A. and Omar, Z. and Muda, S. (2021) Detection of collaterals from cone-beam CT images in stroke. Sensors, 21 (23). ISSN 14248220

Sadiq, A. and Yahya, N. and Tang, T.B. (2021) Diagnosis of Alzheimer's Disease Using Pearson's Correlation and ReliefF Feature Selection Approach. In: UNSPECIFIED.

Abdullah, N.F. and Tang, T.B. and Ho, E.T.W. (2021) Discrete Attractor Pattern Recognition during Resting State in EEG Signal. In: UNSPECIFIED.

Ong, S.K. and Husain, S.F. and Wee, H.N. and Ching, J. and Kovalik, J.-P. and Cheng, M.S. and Schwarz, H. and Tang, T.B. and Ho, C.S. (2021) Integration of the cortical haemodynamic response measured by functional near-infrared spectroscopy and amino acid analysis to aid in the diagnosis of major depressive disorder. Diagnostics, 11 (11). ISSN 20754418

Al-Quraishi, M.S. and Elamvazuthi, I. and Tang, T.B. and Al-Qurishi, M. and Parasuraman, S. and Borboni, A. (2021) Lower limb Movements' Classifications using Hemodynamic Response:fNIRS Study. In: UNSPECIFIED.

Al-Quraishi, M.S. and Elamvazuthi, I. and Tang, T.B. and Al-Qurishi, M. and Parasuraman, S. and Borboni, A. (2021) Multimodal Fusion Approach Based on EEG and EMG Signals for Lower Limb Movement Recognition. IEEE Sensors Journal, 21 (24). pp. 27640-27650. ISSN 1530437X

Lim, L.G. and Ung, W.C. and Chan, Y.L. and Lu, C.-K. and Funane, T. and Kiguchi, M. and Tang, T.B. (2021) Optimizing mental workload estimation by detecting baseline state using vector phase analysis approach. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29. pp. 597-606. ISSN 15344320

Feng, Y.X. and Tang, T.B. and Ho, E.T.W. (2021) Phasic Electrodermal Activity Indicates Changes in Workload and Affective States. In: UNSPECIFIED.

Ejaz, M.M. and Tang, T.B. and Lu, C.-K. (2021) Vision-Based Autonomous Navigation Approach for a Tracked Robot Using Deep Reinforcement Learning. IEEE Sensors Journal, 21 (2). pp. 2230-2240. ISSN 1530437X

Feng, Y.X. and Kiguchi, M. and Ung, W.C. and Dass, S.C. and Hani, A.F.M. and Tang, T.B. and Ho, E.T.W. (2021) Working memory performance under a negative affect is more susceptible to higher cognitive workloads with different neural haemodynamic correlates. Brain Sciences, 11 (7). ISSN 20763425

Ejaz, M.M. and Tang, T.B. and Lu, C.-K. (2021) A fast learning approach for autonomous navigation using a deep reinforcement learning method. Electronics Letters, 57 (2). pp. 50-53. ISSN 00135194

Rasheed, W. and Tang, T.B. (2020) Anomaly Detection of Moderate Traumatic Brain Injury Using Auto-Regularized Multi-Instance One-Class SVM. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (1). pp. 83-93. ISSN 15344320

Ung, W.C. and Tang, T.B. and Yap, K.H. and Ebenezer, E.G.M. and Chin, P.S. and Nordin, N. and Chan, S.C. and Yip, H.L. and Lu, C.-K. and Kiguchi, M. (2020) Assessing Neural Compensation with Visuospatial Working Memory Load Using Near-Infrared Imaging. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (1). pp. 13-22. ISSN 15344320

Chan, Y.L. and Ung, W.C. and Lim, L.G. and Lu, C.-K. and Kiguchi, M. and Tang, T.B. (2020) Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation with a Case Study on Alzheimer's Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (8). pp. 1691-1701. ISSN 15344320

Azlan, N.A.N. and Lu, C.-K. and Elamvazuthi, I. and Tang, T.B. (2020) Automatic detection of masses from mammographic images via artificial intelligence techniques. IEEE Sensors Journal, 20 (21). pp. 13094-13102. ISSN 1530437X

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and Mériaudeau, F. (2020) Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans. Computer Methods and Programs in Biomedicine, 195. ISSN 01692607

Ung, W.C. and Yahya, N. and Tang, T.B. (2020) Detection of Mathematical Fluency Effects on Working Memory using near Infrared Spectroscopy. In: UNSPECIFIED.

Ung, W.C. and Meriaudeau, F. and Kiguchi, M. and Tang, T.B. (2020) Functional near-infrared spectroscopy adaptive cognitive training system (FACTS) for cognitive underload and overload prevention: A feasibility study. IEEE Access, 8. pp. 172939-172950. ISSN 21693536

Ismail, A. and Chen, H.C. and Faye, I. and Tang, T.B. (2020) Longitudinal effects of common carotid artery stenosis on ocular hemodynamics assessed using laser speckle flowgraphy in a rabbit model. Scientific Reports, 10 (1). ISSN 20452322

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and Meriaudeau, F. (2020) Performance Evaluation of Convolutions and Atrous Convolutions in Deep Networks for Retinal Disease Segmentation on Optical Coherence Tomography Volumes. In: UNSPECIFIED.

Alsaih, K. and Yusoff, M.Z. and Faye, I. and Tang, T.B. and Meriaudeau, F. (2020) Retinal Fluid Segmentation Using Ensembled 2-Dimensionally and 2.5-Dimensionally Deep Learning Networks. IEEE Access, 8. pp. 152452-152464. ISSN 21693536

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and Meriaudeau, F. (2020) Retinal Fluids Segmentation Using Volumetric Deep Neural Networks on Optical Coherence Tomography Scans. In: UNSPECIFIED.

Chong, J.S. and Chan, Y.L. and Ebenezer, E.G.M. and Chen, H.Y. and Kiguchi, M. and Lu, C.-K. and Tang, T.B. (2020) fNIRS-based functional connectivity estimation using semi-metric analysis to study decision making by nursing students and registered nurses. Scientific Reports, 10 (1). ISSN 20452322

Lim, L.G. and Ung, W.C. and Chan, Y.L. and Lu, C.-K. and Sutoko, S. and Funane, T. and Kiguchi, M. and Tang, T.B. (2020) A unified analytical framework with multiple fNIRS features for mental workload assessment in the prefrontal cortex. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28 (11). pp. 2367-2376. ISSN 15344320

Ejaz, M.M. and Tang, T.B. and Lu, C.-K. (2019) Autonomous Visual Navigation using Deep Reinforcement Learning: An Overview. In: UNSPECIFIED.

Shahzadi, I. and Meriadeau, F. and Tang, T.B. and Quyyum, A. (2019) CNN-LSTM: Cascaded framework for brain tumour classification. In: UNSPECIFIED.

Sutoko, S. and Chan, Y.L. and Obata, A. and Sato, H. and Maki, A. and Numata, T. and Funane, T. and Atsumori, H. and Kiguchi, M. and Tang, T.B. and Li, Y. and Frederick, B.D. and Tong, Y. (2019) Denoising of neuronal signal from mixed systemic low-frequency oscillation using peripheral measurement as noise regressor in near-infrared imaging. Neurophotonics, 6 (1). ISSN 2329423X

Chai, M.T. and Amin, H.U. and Izhar, L.I. and Saad, M.N.M. and Abdul Rahman, M. and Malik, A.S. and Tang, T.B. (2019) Exploring EEG Effective Connectivity Network in Estimating Influence of Color on Emotion and Memory. Frontiers in Neuroinformatics, 13. ISSN 16625196

Balandong, R.P. and Tang, T.B. and Short, M.A. and Saad, N.M. (2019) Maritime shift workers sleepiness detection system with multi-modality cues. IEEE Access, 7. pp. 98792-98802. ISSN 21693536

Meriaudeau, F. and Tang, T.B. and Elamvazuthi, I. (2019) Special Section Guest Editorial: Advanced and Intelligent Vision Systems. Journal of Electronic Imaging, 28 (2). ISSN 10179909

Chong, J.S. and Lu, C.-K. and Tang, T.B. (2019) Study of emotional state effect on decision making by using fNIRS. In: UNSPECIFIED.

Shah, S.A.A. and Shahzad, A. and Khan, M.A. and Lu, C.-K. and Tang, T.B. (2019) Unsupervised Method for Retinal Vessel Segmentation Based on Gabor Wavelet and Multiscale Line Detector. IEEE Access, 7. pp. 167221-167228. ISSN 21693536

Ismail, A. and Tang, T.B. and Ibrahima, F. and Cheng, C.H. (2018) Animal Model - Investigation of Laser Speckle Flowgraphy for Early Carotid Artery Stenosis Detection. In: UNSPECIFIED.

Chan, G.C.Y. and Shah, S.A.A. and Tang, T.B. and Lu, C.-K. and Muller, H. and Meriaudeau, F. (2018) Deep Features and Data Reduction for Classification of SD-OCT Images: Application to Diabetic Macular Edema. In: UNSPECIFIED.

Ung, W.C. and Funane, T. and Katura, T. and Sato, H. and Tang, T.B. and Hani, A.F.M. and Kiguchi, M. (2018) Effectiveness Evaluation of Real-Time Scalp Signal Separating Algorithm on Near-Infrared Spectroscopy Neurofeedback. IEEE Journal of Biomedical and Health Informatics, 22 (4). pp. 1148-1156. ISSN 21682194

Tang, T.B. and Chan, Y.L. (2018) Functional Connectivity Analysis on Mild Alzheimer's Disease, Mild Cognitive Impairment and Normal Aging using fNIRS. In: UNSPECIFIED.

Chan, G.C.Y. and Kamble, R. and Muller, H. and Shah, S.A.A. and Tang, T.B. and Meriaudeau, F. (2018) Fusing Results of Several Deep Learning Architectures for Automatic Classification of Normal and Diabetic Macular Edema in Optical Coherence Tomography. In: UNSPECIFIED.

Hani, A.F.M. and Feng, Y.X. and Tang, T.B. (2018) Negative mood states in neuroergonomics. Elsevier, pp. 325-326. ISBN 9780128119266; 9780128119273

Bhatti, M.S. and Tang, T.B. and Chen, H.C. (2018) Ocular Blood Flow in Rabbits under Deep Anesthesia: A Real-Time Measurement Technique and Its Application in Characterizing Retinal Ischemia. Scientific Reports, 8 (1). ISSN 20452322

Ung, W.C. and Meriaudeau, F. and Tang, T.B. (2018) Optimizing Mental Workload by Functional Near-Infrared Spectroscopy Based Dynamic Difficulty Adjustment. In: UNSPECIFIED.

Ismail, A. and Bhatti, M.S. and Faye, I. and Lu, C.K. and Laude, A. and Tang, T.B. (2018) Pulse waveform analysis on temporal changes in ocular blood flow due to caffeine intake: a comparative study between habitual and non-habitual groups. Graefe's Archive for Clinical and Experimental Ophthalmology, 256 (9). pp. 1711-1721. ISSN 0721832X

Feng, Y.X. and Ung, W.C. and Dass, S.C. and Mohd Hani, A.F. and Tang, T.B. and Wei Ho, E.T. (2018) Temporal Haemodynamic Measures of Mood and Work Load Effects on Working Memory Performance. In: UNSPECIFIED.

Al-shargie, F. and Tang, T.B. and Badruddin, N. and Kiguchi, M. (2018) Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach. Medical and Biological Engineering and Computing, 56 (1). pp. 125-136. ISSN 01400118

Al-Shargie, F. and Tang, T.B. and Kiguchi, M. (2017) Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: An fNIRS-EEG study. Biomedical Optics Express, 8 (5). pp. 2583-2598. ISSN 21567085

Shah, S.A.A. and Tang, T.B. and Faye, I. and Laude, A. (2017) Blood vessel segmentation in color fundus images based on regional and Hessian features. Graefe's Archive for Clinical and Experimental Ophthalmology, 255 (8). pp. 1525-1533. ISSN 0721832X

Mian, M.U. and Dennis, J.O. and Khir, M.H.M. and Sutri, N.Y. and Ahmed, A.Y. and Tang, T.B. (2017) CMOS-MEMS resonator parametric variation analysis through equivalent circuit modeling. In: UNSPECIFIED.

Awais, M. and Muller, H. and Tang, T.B. and Meriaudeau, F. (2017) Classification of SD-OCT images using a Deep learning approach. In: UNSPECIFIED.

Lim, L.G. and Tang, T.B. (2017) Design of concave capacitance sensor for void fraction measurement in gas-liquid flow. In: UNSPECIFIED.

Ung, W.C. and Tang, T.B. and Meriaudeau, F. and Ebenezer, E.G.M. (2017) Dynamic optimization of mental workload in fNIRS-BCI system for cognitive rehabilitation. In: UNSPECIFIED.

Essam, M. and Tang, T.B. and Ho, E.T.W. and Chen, H. (2017) Dynamic point stochastic rounding algorithm for limited precision arithmetic in Deep Belief Network training. In: UNSPECIFIED.

Rasheed, W. and Neoh, Y.Y. and Bin Hamid, N.H. and Reza, F. and Idris, Z. and Tang, T.B. (2017) Early visual analysis tool using magnetoencephalography for treatment and recovery of neuronal dysfunction. Computers in Biology and Medicine, 89. pp. 573-583. ISSN 00104825

Bhatti, M.S. and Tang, T.B. and Laude, A. (2017) Effects of water drinking test on ocular blood flow waveform parameters: A laser speckle flowgraphy study. PLoS ONE, 12 (7). ISSN 19326203

Mian, M.U. and Dennis, J.O. and Khir, M.H.M. and Ahmed, M.G.A. and Rabih, A.A.S. and Tang, T.B. (2017) Experimental analysis of out-of-plane Lorentz force actuated magnetic field sensor. IEICE Electronics Express, 14 (5). ISSN 13492543

Bhatti, M.S. and Rasheed, W. and Tang, T.B. and Laude, A. (2017) Investigating eye-strain due to prolonged exposure to low resolution multimedia using LSFG. In: UNSPECIFIED.

Al-Shargie, F. and Tang, T.B. and Badruddin, N. and Dass, S.C. and Kiguchi, M. (2017) Mental stress assessment based on feature level fusion of fNIRS and EEG signals. In: UNSPECIFIED.

Rasheed, W. and Bhatti, M.S. and Hisham Bin Hamid, N. and Tang, T.B. and Idris, Z. (2017) Moderate traumatic brain injury identification for MEG data using PU (Positive and Unseen) learning. In: UNSPECIFIED.

Lim, L.G. and Tang, T.B. and Hamid, N.H. and Pao, W.K.S. (2017) Sinusoid based calibration for holdup measurement in two-phase flow using helical capacitance sensor. In: UNSPECIFIED.

Al-Shargie, F. and Tang, T.B. and Kiguchi, M. (2017) Stress Assessment Based on Decision Fusion of EEG and fNIRS Signals. IEEE Access, 5. pp. 19889-19896. ISSN 21693536

Bhatti, M.S. and Rasheed, W. and Tang, T.B. and Laude, A. (2017) Temporal comparison of ocular blood flow in quadrant divisions of optic nerve head before and after water drinking test. In: UNSPECIFIED.

Rasheed, W. and Tang, T.B. and Hamid, N.H. (2017) Threshold for computing generalized model of default mode network connectivity. In: UNSPECIFIED.

Chan, G.C.Y. and Muhammad, A. and Shah, S.A.A. and Tang, T.B. and Lu, C.-K. and Meriaudeau, F. (2017) Transfer learning for Diabetic Macular Edema (DME) detection on Optical Coherence Tomography (OCT) images. In: UNSPECIFIED.

Yap, K.H. and Ung, W.C. and Ebenezer, E.G.M. and Nordin, N. and Chin, P.S. and Sugathan, S. and Chan, S.C. and Yip, H.L. and Kiguchi, M. and Tang, T.B. (2017) Visualizing hyperactivation in neurodegeneration based on prefrontal oxygenation: A comparative study of mild Alzheimer's disease, mild cognitive impairment, and healthy controls. Frontiers in Aging Neuroscience, 9 (SEP). ISSN 16634365

Ali Shah, S.A. and Laude, A. and Faye, I. and Tang, T.B. (2016) Automated microaneurysm detection in diabetic retinopathy using curvelet transform. Journal of Biomedical Optics, 21 (10). ISSN 10833668

Lim, L.G. and Pao, W.K.S. and Hamid, N.H. and Tang, T.B. (2016) Design of helical capacitance sensor for holdup measurement in two-phase stratified flow: A sinusoidal function approach. Sensors (Switzerland), 16 (7). ISSN 14248220

Al-Shargie, F. and Kiguchi, M. and Badruddin, N. and Dass, S.C. and Hani, A.F.M. and Tang, T.B. (2016) Mental stress assessment using simultaneous measurement of EEG and fNIRS. Biomedical Optics Express, 7 (10). pp. 3882-3898. ISSN 21567085

Al-Shargie, F. and Tang, T.B. and Kiguchi, M. (2016) Mental stress grading based on fNIRS signals. In: UNSPECIFIED.

Al-Shargie, F.M. and Tang, T.B. and Badruddin, N. and Kiguchi, M. (2016) Mental stress quantification using EEG signals. In: UNSPECIFIED.

Mian, M.U. and Dennis, J.O. and Khir, M.H.B.M. and Ahmed, M.G.A. and Rabih, A.A.S. and Tang, T.B. (2016) Optical and capacitive characterization of MEMS magnetic resonator. IEICE Electronics Express, 13 (18). ISSN 13492543

Al-Shargie, F. and Tang, T.B. and Badruddin, N. and Kiguchi, M. (2016) Simultaneous measurement of EEG-fNIRS in classifying and localizing brain activation to mental stress. In: UNSPECIFIED.

Hassan, E.A. and Tang, T.B. (2016) Smart glasses for the visually impaired people. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9759. pp. 579-582. ISSN 03029743

Tang, T.B. and Noor, N.H.M. (2016) Towards wearable active humidifier for dry eyes. In: UNSPECIFIED.

Mukhtar, A. and Tang, T.B. (2016) Vision based motorcycle detection using HOG features. In: UNSPECIFIED.

Hani, A.F.M. and Feng, Y.-X. and Tang, T.B. (2016) Working memory task performance on prefrontal cortex activation: An optical neuroimaging study. In: UNSPECIFIED.

Hani, A.F.M. and Feng, Y.X. and Tang, T.B. and Kiguchi, M. (2015) Assessment of brain haemodynamic responses using optical topography modality. In: UNSPECIFIED.

Rasheed, W. and Tang, T.B. and Bin Hamid, N.H. (2015) Default mode functional connectivity estimation and visualization framework for MEG data. In: UNSPECIFIED.

Mian, M.U. and Dennis, J.O. and Md. Khir, M.H. and Riaz, K. and Iqbal, A. and Bazaz, S.A. and Tang, T.B. (2015) MEMS 3-DoF gyroscope design, modeling and simulation through equivalent circuit lumped parameter model. In: UNSPECIFIED.

Slaiman, I. and Tang, T.B. and Hamid, N.H. (2015) Pulse Amplitude and Delay Modulation: Design and performance analysis. Optics Communications, 345. pp. 52-56. ISSN 00304018

Mukhtar, A. and Xia, L. and Tang, T.B. (2015) Vehicle Detection Techniques for Collision Avoidance Systems: A Review. IEEE Transactions on Intelligent Transportation Systems, 16 (5). pp. 2318-2338. ISSN 15249050

Hani, A.M. and Feng, Y.X. and Tang, T.B. and Kiguchi, M. (2015) The effect of working memory load on prefrontal cortex activation: An optical topography study. ARPN Journal of Engineering and Applied Sciences, 10 (20). pp. 9846-9852. ISSN 18196608

Tang, T.B. and Yeo, L.W. and Lau, D.J.H. (2014) Activity awareness can improve continuous stress detection in galvanic skin response. In: UNSPECIFIED.

Hyder, R. and Kamel, N. and Tang, T.B. and Bornot, J. (2014) Brain source localization techniques: Evaluation study using simulated EEG data. In: UNSPECIFIED.

Tang, T.B. and Lim, Y.L. and Aslam, M.Z. (2014) Detecting trace amount of water in crude oil with capacitance sensors. In: UNSPECIFIED.

Sutri, N.Y. and Dennis, J.O. and Khir, M.H.Md. and Tang, T.B. and Mian, M.U. (2014) Low-noise, low-offset modulator demodulator circuit for chopper stabilization technique in CMOS-MEMS sensor applications. In: UNSPECIFIED.

Ali, S.S.A. and Tang, T.B. and Laude, A. and Faye, I. (2014) Making every microaneurysm count: A hybrid approach to monitor progression of diabetic retinopathy. In: UNSPECIFIED.

Mian, M.U. and Dennis, J.O. and Khir, M.H.Md. and Tang, T.B. and Sutri, N.Y. (2014) Noise and Bandwidth analysis for PMOS based wide swing cascode current mirror using 0.35 um CMOS-MEMS technology. In: UNSPECIFIED.

Rasheed, W. and Tang, T.B. and Hamid, N.H.B. (2014) Novel framework for small-world network connectivity analysis for MEG data. In: UNSPECIFIED.

Slaiman, I. and Tang, T.B. and Hamid, N.H.B. (2014) Pulse amplitude and delay modulation for indoor optical wireless communications. In: UNSPECIFIED.

Zubair, M. and Tang, T.B. (2014) A high resolution capacitive sensing system for the measurement of water content in crude oil. Sensors (Switzerland), 14 (7). pp. 11351-11361. ISSN 14248220

Assaad, M. and Zubair, A.M. and Tang, T.B. (2014) A semi-cylindrical capacitive-based differential sensing system for water content in crude oil measurement. International Review on Modelling and Simulations, 7 (1). pp. 213-220. ISSN 19749821

Rasheed, W. and Tang, T.B. and Hamid, N.H. and Idris, Z. and Abdullah, J.M. (2013) Automated visualization for epilepsy surgical evaluation. In: UNSPECIFIED.

Sutri, N.Y. and Dennis, J.O. and Khir, M.H.M. and Mian, M.U. and Tang, T.B. (2013) Chopper stabilized, low-power, low-noise, front end interface circuit for capacitive CMOS MEMS sensor applications. Modern Applied Science, 7 (12). pp. 34-42. ISSN 19131844

Tang, T.B. and Zulkafli, M.S. (2013) Electronic tongue for fresh milk assessment: A revisit of using pH as indicator. In: UNSPECIFIED.

Tang, T.B. and Lu, C.K. and Laude, A. and Dhillon, B. and Murray, A.F. (2013) Noise reduction for ellipse fitting on medical images. Electronics Letters, 49 (3). pp. 178-179. ISSN 00135194

Lu, C.-K. and Tang, T.B. and Laude, A. and Dhillon, B. and Murray, A.F. (2012) Computer-aided assessment of optic nerve. CRC Press, pp. 59-81. ISBN 9781439869949; 9781439869932

Lu, C.-K. and Tang, T.B. and Laude, A. and Dhillon, B. and Murraya, A.F. (2012) Parapapillary atrophy and optic disc region assessment (PANDORA): Retinal imaging tool for assessment of the optic disc and parapapillary atrophy. Journal of Biomedical Optics, 17 (10). ISSN 10833668

Tang, T.B. and Murray, A.F. and Cheng, B. and Asenov, A. (2012) A framework to study time-dependent variability in circuits at sub-35nm technology nodes. In: UNSPECIFIED.

Hamid, N.H. and Tang, T.B. and Murray, A.F. (2011) Probabilistic neural computing with advanced nanoscale MOSFETs. Neurocomputing, 74 (6). pp. 930-940. ISSN 09252312