Article

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

Gadipudi, N. and Elamvazuthi, I. and Izhar, L.I. and Tiwari, L. and Hebbalaguppe, R. and Lu, C.-K. and Doss, A.S.A. (2023) A review on monocular tracking and mapping: from model-based to data-driven methods. Visual Computer, 39 (11). pp. 5897-5924.

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

Izhar, L.I. and Babiker, A. and Rizki, E.E. and Lu, C.-K. and Rahman, M.A. (2022) Emotion Self-Regulation in Neurotic Students: A Pilot Mindfulness-Based Intervention to Assess Its Effectiveness through Brain Signals and Behavioral Data. Sensors, 22 (7). ISSN 14248220

Gadipudi, N. and Elamvazuthi, I. and Lu, C.-K. and Paramasivam, S. and Su, S. (2022) Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments. Neural Computing and Applications, 34 (21). pp. 18823-18836. ISSN 09410643

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

Chen, C.-H. and Shyu, K.-K. and Lu, C.-K. and Jao, C.-W. and Lee, P.-L. (2021) Classification of prefrontal cortex activity based on functional near-infrared spectroscopy data upon olfactory stimulation. Brain Sciences, 11 (6). ISSN 20763425

Lin, C.-H. and Liao, W.-M. and Liang, J.-W. and Chen, P.-H. and Ko, C.-E. and Yang, C.-H. and Lu, C.-K. (2021) Denoising Performance Evaluation of Automated Age-Related Macular Degeneration Detection on Optical Coherence Tomography Images. IEEE Sensors Journal, 21 (1). pp. 790-801. ISSN 1530437X

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

Lin, C.-H. and Wang, C.-X. and Lu, C.-K. (2021) Ldpc decoder design using compensation scheme of group comparison for 5g communication systems. Electronics (Switzerland), 10 (16). ISSN 20799292

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

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

Gadipudi, N. and Elamvazuthi, I. and Lu, C.-K. and Paramasivam, S. and Su, S. (2021) WPO-net: Windowed pose optimization network for monocular visual odometry estimation. Sensors, 21 (23). ISSN 14248220

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

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

Sharon, H. and Elamvazuthi, I. and Lu, C.-K. and Parasuraman, S. and Natarajan, E. (2020) Development of rheumatoid arthritis classification from electronic image sensor using ensemble method. Sensors (Switzerland), 20 (1). ISSN 14248220

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

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

Wibowo, E.P. and Talita, A.S. and Iqbal, M. and Benny Mutiara, A. and Lu, C.-K. and Meriaudeau, F. (2019) An improved calibration technique for polarization images. IEEE Access, 7. pp. 28651-28662. ISSN 21693536

Li, S.-A. and Wang, W.-Y. and Pan, W.-Z. and Hsu, C.-C.J. and Lu, C.-K. (2018) FPGA-based hardware design for scale-invariant feature transform. IEEE Access, 6. pp. 43850-43864. ISSN 21693536

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

Conference or Workshop Item

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.

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.

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.

Wang, Y.K. and Kai Wen, K. and Lu, C.-K. and Lin, C.-H. (2023) Retinal Layer and Fluid Segmentation with Transformer Based Architecture. In: UNSPECIFIED.

You, H.-Y. and Wei, H.-T. and Lin, C.-H. and Ji, J.-Y. and Liu, Y.-H. and Lu, C.-K. and Wang, J.-K. and Huang, T.-L. (2021) An AMDOCT-NET for Automated AMD Detection under Evaluations of Different Image Size, Denoising and Cropping. In: UNSPECIFIED.

Gadipudi, N. and Elamvazuthi, I. and Lu, C.-K. and Paramasivam, S. and Jegadeeshwaran, R. (2021) Analysis of Unsupervised Loss Functions for Homography Estimation. In: UNSPECIFIED.

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.

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

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.

Ko, C.-E. and Chen, P.-H. and Liao, W.-M. and Lu, C.-K. and Lin, C.-H. and Liang, J.-W. (2019) Using A Cropping Technique or Not: Impacts on SVM-based AMD Detection on OCT Images. 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.

Lu, C.-K. and Wang, S. (2017) Peak-triggered sampling circuitry for a fine-structure-aware cochlear implant. 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.

Book

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