A novel radio propagation and radiation model of the wireless capsule endoscopy in human gastro-intestine (GI) tract. - Eng Gee Lim; Zhao Wang 001; Tammam Tillo; Tuck Seng Wong; Ka Lok Man; Khin Wee Lai (ISOCC, 2011)

Contrast enhancement of ultrasound imaging of the knee joint cartilage for early detection of knee osteoarthritis. - Mohammad Belayet Hossain; Khin Wee Lai; Belinda Pingguan-Murphy; Yan Chai Hum; Maheza Irna Mohamad Salim; Yih Miin Liew (Biomed. Signal Process. Control., 2014)

Multiobjectives bihistogram equalization for image contrast enhancement. - Yan Chai Hum; Khin Wee Lai; Maheza Irna Mohamad Salim (Complex., 2014)

Bulk substrate porosity verification by applying Monte Carlo modeling and Castaing's formula using energy-dispersive x-rays. - Lai Chin Yung; Cheong Choke Fei; Jit Singh Mandeep; Nowshad Amin; Khin Wee Lai (J. Electronic Imaging, 2015)

Multiple LREK Active Contours for Knee Meniscus Ultrasound Image Segmentation. - Amir Faisal; Siew-Cheok Ng; Siew-Li Goh; John George; Eko Supriyanto; Khin Wee Lai (IEEE Trans. Medical Imaging, 2015)

Echocardiography to cardiac CT image registration: Spatial and temporal registration of the 2D planar echocardiography images with cardiac CT volume. - Azira Khalil; Yih Miin Liew; Siew-Cheok Ng; Khin Wee Lai; Yan Chai Hum (HealthCom, 2016)

Elimination of character-resembling anomalies within a detected region using density-dependent reference point construction in an automated license plate recognition system. - Yan Chai Hum; Kim Meng Liang; Hamam Mohamed; Hock Woon Hon; Khin Wee Lai (J. Electronic Imaging, 2016)

Feasibility of A-mode ultrasound attenuation as a monitoring method of local hyperthermia treatment. - Noraida Abd Manaf; Maizatul Nadwa Che Aziz; Dzulfadhli Saffuan Ridzuan; Maheza Irna Mohamad Salim; Asnida Abd Wahab; Khin Wee Lai; Yan Chai Hum (Medical Biol. Eng. Comput., 2016)

Thermal distribution analysis of three-dimensional tumor-embedded breast models with different breast density compositions. - Asnida Abd Wahab; Maheza Irna Mohamad Salim; Mohamad Asmidzam Ahamat; Noraida Abd Manaf; Jasmy Yunus; Khin Wee Lai (Medical Biol. Eng. Comput., 2016)

2D to 3D fusion of echocardiography and cardiac CT for TAVR and TAVI image guidance. - Azira Khalil; Amir Faisal; Khin Wee Lai; Siew-Cheok Ng; Yih Miin Liew (Medical Biol. Eng. Comput., 2017)

Knee cartilage segmentation and thickness computation from ultrasound images. - Amir Faisal; Siew-Cheok Ng; Siew-Li Goh; Khin Wee Lai (Medical Biol. Eng. Comput., 2018)

In-socket sensory system with an adaptive neuro-based fuzzy inference system for active transfemoral prosthetic legs. - Nur Hidayah Mohd Yusof; Nur Azah Hamzaid; Farahiyah Jasni; Khin Wee Lai (J. Electronic Imaging, 2019)

Pilot Study on Machine Learning for Aortic Valve Detection in Echocardiography Images. - Muhammad Hanif Ahmad Nizar; Azira Khalil; Chow Khuen Chan; Nugraha Priya Utama; Khin Wee Lai (J. Medical Imaging Health Informatics, 2019)

Ablation of Dental Glass Ionomer Cement Using Neodymium-Doped Yttrium Aluminium Garnet Laser. - Noorsyazwani Binti Zulkifli; Fatanah M. Suhaimi; Siew-Cheok Ng; Khin Wee Lai (J. Medical Imaging Health Informatics, 2019)

Prediction of Hospital Readmission Combining Rule-based and Machine Learning Model. - Kareen Teo; Khin Wee Lai; Ching Wai Yong; Belinda Pingguan-Murphy; Joon Huang Chuah; Clarence Augustine Th Tee (ICS, 2020)

An Overview of Deep Learning Approaches in Chest Radiograph. - Shazia Anis; Khin Wee Lai; Joon Huang Chuah; Shoaib Mohammad Ali; Hamidreza Mohafez; Maryam Hadizadeh; Yan Ding; Zhi Chao Ong (IEEE Access, 2020)

Discovering the Predictive Value of Clinical Notes: Machine Learning Analysis with Text Representation. - Kareen Teo; Ching Wai Yong; Joon Huang Chuah; Belinda Pingguan-Murphy; Khin Wee Lai (J. Medical Imaging Health Informatics, 2020)

Discovering the Ganoderma Boninense Detection Methods Using Machine Learning: A Review of Manual, Laboratory, and Remote Approaches. - Clarence Augustine Th Tee; Yun Xin Teoh; Lip Yee Por; Boon Chin Tan; Khin Wee Lai (IEEE Access, 2021)

Emergence of Deep Learning in Knee Osteoarthritis Diagnosis. - Pauline Shan Qing Yeoh; Khin Wee Lai; Siew-Li Goh; Khairunnisa Hasikin; Yan Chai Hum; Yee-Kai Tee; Samiappan Dhanalakshmi (Comput. Intell. Neurosci., 2021)

An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19. - Woan Ching Serena Low; Joon Huang Chuah; Clarence Augustine Th Tee; Shazia Anis; Muhammad Ali Shoaib; Amir Faisal; Azira Khalil; Khin Wee Lai (Comput. Math. Methods Medicine, 2021)

A comparative study of multiple neural network for detection of COVID-19 on chest X-ray. - Shazia Anis; Tan Zi Xuan; Joon Huang Chuah; Juliana Usman; Pengjiang Qian; Khin Wee Lai (EURASIP J. Adv. Signal Process., 2021)

Health efficacy of electrically operated automated massage on muscle properties, peripheral circulation, and physio-psychological variables: a narrative review. - Ayan Paul; Juliana Usman; Mohd Yazed Ahmad; Hamidreza Mohafez; Maryam Hadizadeh; Zhi Chao Ong; Khairunnisa Hasikin; Khin Wee Lai (EURASIP J. Adv. Signal Process., 2021)

Investigating the Effects of Ogawa Master Drive AI Automated Massage on Blood Circulation and Sleep Quality. - Ayan Paul; Khin Wee Lai; Juliana Usman; Mohd Yazed Ahmad; Hamidreza Mohafez; Maryam Hadizadeh; Zhi Chao Ong (J. Medical Imaging Health Informatics, 2021)

Early Detection of Readmission Risk for Decision Support Based on Clinical Notes. - Kareen Teo; Ching Wai Yong; Joon Huang Chuah; Belinda Pingguan-Murphy; Khin Wee Lai (J. Medical Imaging Health Informatics, 2021)

CORSegNet: Deep Neural Network for Core Object Segmentation on Medical Images. - Ching Wai Yong; Kareen Teo; Belinda Pingguan-Murphy; Yan Chai Hum; Khin Wee Lai (J. Medical Imaging Health Informatics, 2021)

Deep Machine Learning Histopathological Image Analysis for Renal Cancer Detection. - Jia Chun Koo; Yan Chai Hum; Khin Wee Lai; Wun-She Yap; Swaminathan Manickam; Yee-Kai Tee (ICCAI, 2022)

NDPsec: Neighbor Discovery Protocol Security Mechanism. - Ayman Al-Ani; Ahmed K. Al-Ani; Shams-ul-Arfeen Laghari; Selvakumar Manickam; Khin Wee Lai; Khairunnisa Hasikin (IEEE Access, 2022)

Correction to: Health efficacy of electrically operated automated massage on muscle properties, peripheral circulation, and physio-psychological variables: a narrative review. - Ayan Paul; Juliana Usman; Mohd Yazed Ahmad; Hamidreza Mohafez; Maryam Hadizadeh; Zhi Chao Ong; Khairunnisa Hasikin; Khin Wee Lai (EURASIP J. Adv. Signal Process., 2022)

A Review of Machine Learning Network in Human Motion Biomechanics. - Wan Shi Low; Chow Khuen Chan; Joon Huang Chuah; Yee-Kai Tee; Yan Chai Hum; Maheza Irna Mohamad Salim; Khin Wee Lai (J. Grid Comput., 2022)

An IoMT enabled deep learning framework for automatic detection of fetal QRS: A solution to remote prenatal care. - Jaba Deva Krupa Abel; Samiappan Dhanalakshmi; Khin Wee Lai; Yongqi Tan; Xiang Wu (J. King Saud Univ. Comput. Inf. Sci., 2022)

X-ray carpal bone segmentation and area measurement. - Amir Faisal; Azira Khalil; Yan Chai Hum; Khin Wee Lai (Multim. Tools Appl., 2022)

The development of skin lesion detection application in smart handheld devices using deep neural networks. - Yan Chai Hum; Hou Ren Tan; Yee-Kai Tee; Wun-She Yap; Tian Swee Tan; Maheza Irna Mohamad Salim; Khin Wee Lai (Multim. Tools Appl., 2022)

A review on self-adaptation approaches and techniques in medical image denoising algorithms. - K. A. Saneera Hemantha Kulathilake; Nor Aniza Abdullah; Aznul Qalid Md Sabri; A. M. R. Ravimal Bandara; Khin Wee Lai (Multim. Tools Appl., 2022)

Diagnosis of optic neuritis using magnetic resonance images. - Ying Hui Tan; Li Sze Chow; Joon Huang Chuah; Khin Wee Lai (Multim. Tools Appl., 2022)

Knee osteoarthritis severity classification with ordinal regression module. - Ching Wai Yong; Kareen Teo; Belinda Pingguan-Murphy; Yan Chai Hum; Yee-Kai Tee; Kaijian Xia; Khin Wee Lai (Multim. Tools Appl., 2022)

A contrast enhancement framework under uncontrolled environments based on just noticeable difference. - Yan Chai Hum; Yee-Kai Tee; Wun-She Yap; Hamam Mokayed; Tian Swee Tan; Maheza Irna Mohamad Salim; Khin Wee Lai (Signal Process. Image Commun., 2022)

Knee Osteoarthritis Diagnostic System Based on 3D Multi-task Convolutional Neural Network: Data from the Osteoarthritis Initiative. - Khin Wee Lai; Pauline Shan Qing Yeoh; Siew-Li Goh; Khairunnisa Hasikin; Xiang Wu (ACPR (3), 2023)

Predicting Knee Osteoarthritis Pain Severity through A Deep Hybrid Learning Model: Data from the Osteoarthritis Initiative. - Yun Xin Teoh; Alice Othmani; Siew-Li Goh; Juliana Usman; Khin Wee Lai (BIBM, 2023)

Fine-Tuning Vision Transformer for Arabic Sign Language Video Recognition on Augmented Small-Scale Dataset. - Munkhjargal Gochoo; Ganzorig Batnasan; Ahmed Abdelhadi Ahmed; Munkh-Erdene Otgonbold; Fady Alnajjar; Timothy K. Shih; Tan-Hsu Tan; Khin Wee Lai (SMC, 2023)

Detection of Basal Stem Rot Disease Using Deep Learning. - Yu Hong Haw; Yan Chai Hum; Joon Huang Chuah; Wingates Voon; Siti Khairunniza-Bejo; Nur Azuan Husin; Lip Yee Por; Khin Wee Lai (IEEE Access, 2023)

3D Efficient Multi-Task Neural Network for Knee Osteoarthritis Diagnosis Using MRI Scans: Data From the Osteoarthritis Initiative. - Pauline Shan Qing Yeoh; Siew-Li Goh; Khairunnisa Hasikin; Xiang Wu; Khin Wee Lai (IEEE Access, 2023)

Automated restricted Boltzmann machine classifier for early diagnosis of Parkinson's disease using digitized spiral drawings. - Mahima Thakur; Samiappan Dhanalakshmi; Harisudha Kuresan; Ramalingam Senthil; R. Narayanamoorthi; Khin Wee Lai (J. Ambient Intell. Humaniz. Comput., 2023)

Classification of basal stem rot using deep learning: a review of digital data collection and palm disease classification methods. - Yu Hong Haw; Khin Wee Lai; Joon Huang Chuah; Siti Khairunniza-Bejo; Nur Azuan Husin; Yan Chai Hum; Lip Yee Por; Clarence Augustine Th Tee; Xin Ye; Xiang Wu (PeerJ Comput. Sci., 2023)

Artificial intelligence-assisted air quality monitoring for smart city management. - En Xin Neo; Khairunnisa Hasikin; Khin Wee Lai; Mohd Istajib Mokhtar; Muhammad Mokhzaini Azizan; Hanee Farzana Hizaddin; Sarah Abdul Razak; Yanto (PeerJ Comput. Sci., 2023)

Predicting medical device failure: a promise to reduce healthcare facilities cost through smart healthcare management. - Noorul Husna Abd Rahman; Muhammad Hazim Mohamad Zaki; Khairunnisa Hasikin; Nasrul Anuar Abd Razak; Ayman Khaleel Ibrahim; Khin Wee Lai (PeerJ Comput. Sci., 2023)

Multi-Modality Fusion & Inductive Knowledge Transfer Underlying Non-Sparse Multi-Kernel Learning and Distribution Adaption. - Yuanpeng Zhang; Kaijian Xia; Yizhang Jiang; Pengjiang Qian; Weiwei Cai 001; Chengyu Qiu; Khin Wee Lai; Dongrui Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review. - Zhen Zhao; Joon Huang Chuah; Khin Wee Lai; Chee-Onn Chow; Munkhjargal Gochoo; Samiappan Dhanalakshmi; Na Wang; Wei Bao; Xiang Wu (Frontiers Comput. Neurosci., 2023)

Investigation of single beam ultrasound sensitivity as a monitoring tool for local hyperthermia treatment in breast cancer. - Noraida Abd Manaf; Asnida Abd Wahab; Hala Abdulkareem Rasheed; Maizatul Nadwa Che Aziz; Maheza Irna Mohamad Salim; Mariaulpa Sahalan; Yan Chai Hum; Khin Wee Lai (Multim. Tools Appl., 2023)

Editorial: Emerging applications of text analytics and natural language processing in healthcare. - Khairunnisa Hasikin; Khin Wee Lai; Suresh Chandra Satapathy; Kadir Sabanci; Muhammet Fatih Aslan (Frontiers Digit. Health, 2023)

Lower extremity kinematics walking speed classification using long short-term memory neural frameworks. - Wan Shi Low; Kheng Yee Goh; Sim Kuan Goh; Chen-Hua Yeow; Khin Wee Lai; Siew-Li Goh; Joon Huang Chuah; Chow Khuen Chan (Multim. Tools Appl., 2023)

Multistage Switched Adaptive Filtering Approach for Denoising Speech Signals of Parkinson's Disease-affected Patients. - S. Hannah Pauline; Samiappan Dhanalakshmi; R. Kumar 001; R. Narayanamoorthi; Khin Wee Lai (Circuits Syst. Signal Process., 2023)

Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative. - Yun Xin Teoh; Alice Othmani; Khin Wee Lai; Siew-Li Goh; Juliana Usman (Comput. Methods Programs Biomed., 2023)

Transferable Takagi-Sugeno-Kang Fuzzy Classifier With Multi-Views for EEG-Based Driving Fatigue Recognition in Intelligent Transportation. - Yi Gu 001; Kaijian Xia; Khin Wee Lai; Yizhang Jiang; Pengjiang Qian; Xiaoqing Gu (IEEE Trans. Intell. Transp. Syst., 2023)

Improving Knee Osteoarthritis Detection Through a Multitask Learning Method from 2D MRI Slices. - Yun Xin Teoh; Mohamed Berrimi; Khin Wee Lai; Siew-Li Goh; Rachid Jennane (MICAD, 2024)

A Privacy-Preserving Approach Using Deep Learning Models for Diabetic Retinopathy Diagnosis. - Jun Chen Ng; Pauline Shan Qing Yeoh; Li Bing; Xiang Wu; Khairunnisa Hasikin; Khin Wee Lai (IEEE Access, 2024)

Knee Osteoarthritis Diagnosis With Unimodal and Multi-Modal Neural Networks: Data From the Osteoarthritis Initiative. - Xin Yu Teh; Pauline Shan Qing Yeoh; Tao Wang 117; Xiang Wu; Khairunnisa Hasikin; Khin Wee Lai (IEEE Access, 2024)

Deciphering Knee Osteoarthritis Diagnostic Features With Explainable Artificial Intelligence: A Systematic Review. - Yun Xin Teoh; Alice Othmani; Siew-Li Goh; Juliana Usman; Khin Wee Lai (IEEE Access, 2024)

An Efficient Neural Network for Segmenting Multiple Joint Tissues From Knee MRI With Hyperparameter Optimization: Data From the Osteoarthritis Initiative. - Pauline Shan Qing Yeoh; Li Bing; Siew-Li Goh; Khairunnisa Hasikin; Xiang Wu; Yan Chai Hum; Yee-Kai Tee; Khin Wee Lai (IEEE Access, 2024)

Histopathological Cancer Detection Using Intra-Domain Transfer Learning and Ensemble Learning. - Ming Ping Yong; Yan Chai Hum; Khin Wee Lai; Ying Loong Lee; Choon-Hian Goh; Wun-She Yap; Yee-Kai Tee (IEEE Access, 2024)

Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches. - Yun Xin Teoh; Alice Othmani; Siew-Li Goh; Juliana Usman; Khin Wee Lai (CoRR, 2024)

Machine learning approaches in comparative studies for Alzheimer's diagnosis using 2D MRI slices. - Zhen Zhao; Joon Huang Chuah; Chee-Onn Chow; Kaijian Xia; Yee-Kai Tee; Yan Chai Hum; Khin Wee Lai (Turkish J. Electr. Eng. Comput. Sci., 2024)

IMAML-IDCG: Optimization-based meta-learning with ImageNet feature reusing for few-shot invasive ductal carcinoma grading. - Wingates Voon; Yan Chai Hum; Yee-Kai Tee; Wun-She Yap; Khin Wee Lai; Humaira Nisar; Hamam Mokayed (Expert Syst. Appl., 2024)

Bacterial image analysis using multi-task deep learning approaches for clinical microscopy. - Shuang Yee Chin; Jian Dong; Khairunnisa Hasikin; Romano Ngui; Khin Wee Lai; Pauline Shan Qing Yeoh; Xiang Wu (PeerJ Comput. Sci., 2024)

Electroencephalography (EEG) based epilepsy diagnosis via multiple feature space fusion using shared hidden space-driven multi-view learning. - Xiujian Hu; Yicheng Xie; Hui Zhao; Guanglei Sheng; Khin Wee Lai; Yuanpeng Zhang (PeerJ Comput. Sci., 2024)

Advancing healthcare through multimodal data fusion: a comprehensive review of techniques and applications. - Jing Ru Teoh; Jian Dong; Xiaowei Zuo; Khin Wee Lai; Khairunnisa Hasikin; Xiang Wu (PeerJ Comput. Sci., 2024)

Enhancing early breast cancer diagnosis through automated microcalcification detection using an optimized ensemble deep learning framework. - Jing Ru Teoh; Khairunnisa Hasikin; Khin Wee Lai; Xiang Wu; Chong Li (PeerJ Comput. Sci., 2024)

Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices. - Nur Haninie Abd Wahab; Khairunnisa Hasikin; Khin Wee Lai; Kaijian Xia; Lulu Bei; Kai Huang; Xiang Wu (PeerJ Comput. Sci., 2024)

A modified single image dehazing method for autonomous driving vision system. - Wong Yoke Kim; Yan Chai Hum; Yee-Kai Tee; Wun-She Yap; Hamam Mokayed; Khin Wee Lai (Multim. Tools Appl., 2024)

An efficient adaptive compressive sensing technique for underwater image compression in IoUT. - R. Monika; Samiappan Dhanalakshmi; R. Kumar 001; R. Narayanamoorthi; Khin Wee Lai (Wirel. Networks, 2024)

Deep Reinforcement Learning Enabled Incentive Mechanism of Electric Vehicles for Renewable Energy Power Transmission. - Yong Jin 003; Kaijian Xia; Khin Wee Lai (ICIC (20), 2025)

Learning-Driven Algorithm With Dual Evolution Patterns for Solving Large-Scale Multiobjective Optimization Problems. - Mingshuo Song; Wei Song; Khin Wee Lai (IEEE Access, 2025)

Predicting Medical Device Life Expectancy and Estimating Remaining Useful Life Using a Data-Driven Multimodal Framework. - Nur Haninie Abd Wahab; Khairunnisa Hasikin; Khin Wee Lai; Kaijian Xia; Alicia Ying Taing; Ran Zhang 006 (IEEE Access, 2025)

Trapezoidal Step Scheduler for Model-Agnostic Meta-Learning in Medical Imaging. - Wingates Voon; Yan Chai Hum; Yee-Kai Tee; Wun-She Yap; Khin Wee Lai; Humaira Nisar; Hamam Mokayed (Pattern Recognit., 2025)

A Novel Centralized Federated Deep Fuzzy Neural Network with Multi-objectives Neural Architecture Search for Epistatic Detection. - Xiang Wu; Yongting Zhang; Khin Wee Lai; Ming-Zhao Yang; Gelan Yang; Huanhuan Wang (IEEE Trans. Fuzzy Syst., 2025)

Improving human detection in the presence of cartoon characters using retrained deep learning models. - Wei Jie Tiong; Yan Chai Hum; Ying Loong Lee; Khin Wee Lai; Kok-Lim Alvin Yau; Wun-She Yap; Yee Kai Tee (Signal Image Video Process., 2025)

Artificial intelligence in chemical exchange saturation transfer magnetic resonance imaging. - Swee Qi Pan; Yan Chai Hum; Khin Wee Lai; Wun-She Yap; Yi Zhang; Hye-Young Heo; Yee Kai Tee (Artif. Intell. Rev., 2025)