Khin Wee Lai (Khin-Wee Lai)

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 36

Top Venues

Computational intelligence and neuroscience

PeerJ. Computer science

Journal of healthcare engineering

Diagnostics (Basel, Switzerland)

University of Malaya Faculty of Engineering

Technische Universitat Ilmenau (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Malaya Faculty of Engineering

Malaysia

Senior Lecturer :: Biomedical Engineering Department

Education History

Technische Universitat Ilmenau

Germany

PHD :: BMTI

Universiti Teknologi Malaysia

Malaysia

PHD :: FBME

Publications

Nur Haninie Abd Wahab, Khairunnisa Hasikin, Khin Wee Lai, Kaijian Xia, Lulu Bei, Kai Huang, Xiang Wu
Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices. PeerJ. Computer science 10 (2024)
Xiujian Hu, Yicheng Xie, Hui Zhao, Guanglei Sheng, Khin Wee Lai, Yuanpeng Zhang
Electroencephalography (EEG) based epilepsy diagnosis via multiple feature space fusion using shared hidden space-driven multi-view learning. PeerJ. Computer science 10 (2024)
Xiujian Hu, Yicheng Xie, Hui Zhao, Guanglei Sheng, Khin Wee Lai, Yuanpeng Zhang
Electroencephalography (EEG) based epilepsy diagnosis via multiple feature space fusion using shared hidden space-driven multi-view learning. PeerJ. Computer science 10 (2024)
Wei Kit Loo, Wingates Voon, Anwar Suhaimi, Cindy Shuan Ju Teh, Yee Kai Tee, Yan Chai Hum, Khairunnisa Hasikin, Kareen Teo, Hang Cheng Ong, Khin Wee Lai
Predictive Modeling of COVID-19 Readmissions: Insights from Machine Learning and Deep Learning Approaches. Diagnostics (Basel, Switzerland) 14 (14) (2024)
Jing Ru Teoh, Khairunnisa Hasikin, Khin Wee Lai, Xiang Wu, Chong Li
Enhancing early breast cancer diagnosis through automated microcalcification detection using an optimized ensemble deep learning framework. PeerJ. Computer science 10 (2024)
Wei Kit Loo, Wingates Voon, Anwar Suhaimi, Cindy Shuan Ju Teh, Yee Kai Tee, Yan Chai Hum, Khairunnisa Hasikin, Kareen Teo, Hang Cheng Ong, Khin Wee Lai
Predictive Modeling of COVID-19 Readmissions: Insights from Machine Learning and Deep Learning Approaches. Diagnostics (Basel, Switzerland) 14 (14) (2024)
Jing Ru Teoh, Khairunnisa Hasikin, Khin Wee Lai, Xiang Wu, Chong Li
Enhancing early breast cancer diagnosis through automated microcalcification detection using an optimized ensemble deep learning framework. PeerJ. Computer science 10 (2024)
Wei Kit Loo, Wingates Voon, Anwar Suhaimi, Cindy Shuan Ju Teh, Yee Kai Tee, Yan Chai Hum, Khairunnisa Hasikin, Kareen Teo, Hang Cheng Ong, Khin Wee Lai
Predictive Modeling of COVID-19 Readmissions: Insights from Machine Learning and Deep Learning Approaches. Diagnostics (Basel, Switzerland) 14 (14) (2024)
Muhammad Ali Shoaib, Joon Huang Chuah, Raza Ali, Dhanalakshmi Samiappan, Yan Chai Hum, Azira Khalil, Khin Wee Lai
Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network. Life (Basel, Switzerland) 13 (1) (2023)
Muhammad Ali Shoaib, Joon Huang Chuah, Raza Ali, Dhanalakshmi Samiappan, Yan Chai Hum, Azira Khalil, Khin Wee Lai
Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network. Life (Basel, Switzerland) 13 (1) (2023)
Noorul Husna Abd Rahman, Muhammad Hazim Mohamad Zaki, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khaleel Ibrahim, Khin Wee Lai
Predicting medical device failure: a promise to reduce healthcare facilities cost through smart healthcare management. PeerJ. Computer science 9 (2023)
Ming Ping Yong, Yan Chai Hum, Khin Wee Lai, Ying Loong Lee, Choon-Hian Goh, Wun-She Yap, Yee Kai Tee
Histopathological Gastric Cancer Detection on GasHisSDB Dataset Using Deep Ensemble Learning. Diagnostics (Basel, Switzerland) 13 (10) (2023)
Muhammad Ali Shoaib, Joon Huang Chuah, Raza Ali, Khairunnisa Hasikin, Azira Khalil, Yan Chai Hum, Yee Kai Tee, Dhanalakshmi Samiappan, Khin Wee Lai
An Overview of Deep Learning Methods for Left Ventricle Segmentation. Computational intelligence and neuroscience 2023 (2023)
Muhammad Ali Shoaib, Joon Huang Chuah, Raza Ali, Dhanalakshmi Samiappan, Yan Chai Hum, Azira Khalil, Khin Wee Lai
Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network. Life (Basel, Switzerland) 13 (1) (2023)
Muhammad Ali Shoaib, Joon Huang Chuah, Raza Ali, Dhanalakshmi Samiappan, Yan Chai Hum, Azira Khalil, Khin Wee Lai
Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network. Life (Basel, Switzerland) 13 (1) (2023)
Yu Hong Haw, Khin Wee Lai, Joon Huang Chuah, Siti Khairunniza Bejo, Nur Azuan Husin, Yan Chai Hum, Por Lip Yee, Clarence Augustine T H Tee, Xin Ye, Xiang Wu
Classification of basal stem rot using deep learning: a review of digital data collection and palm disease classification methods. PeerJ. Computer science 9 (2023)
Muhammad Ali Shoaib, Joon Huang Chuah, Raza Ali, Khairunnisa Hasikin, Azira Khalil, Yan Chai Hum, Yee Kai Tee, Dhanalakshmi Samiappan, Khin Wee Lai
An Overview of Deep Learning Methods for Left Ventricle Segmentation. Computational intelligence and neuroscience 2023 (2023)
Mohamed Zul Fadhli Khairuddin, Puat Lu Hui, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Khin Wee Lai, Ahmad Shakir Mohd Saudi, Siti Salwa Ibrahim
Occupational Injury Risk Mitigation: Machine Learning Approach and Feature Optimization for Smart Workplace Surveillance. International journal of environmental research and public health 19 (21) (2022)
Jincheng Zhou, Dan Wang, Lei Ling, Mingjiang Li, Khin Wee Lai
Comparative Analysis of the Performance of Complex Texture Clustering Driven by Computational Intelligence Methods Using Multiple Clustering Models. Computational intelligence and neuroscience 2022 (2022)
Yun Xin Teoh, Khin Wee Lai, Juliana Usman, Siew Li Goh, Hamidreza Mohafez, Khairunnisa Hasikin, Pengjiang Qian, Yizhang Jiang, Yuanpeng Zhang, Dhanalakshmi Samiappan
Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches. Journal of healthcare engineering 2022 (2022)
S Latha, P Muthu, Dhanalakshmi Samiappan, R Kumar, Khin Wee Lai, Xiang Wu
Emerging Feature Extraction Techniques for Machine Learning-Based Classification of Carotid Artery Ultrasound Images. Computational intelligence and neuroscience 2022 (2022)
S Hannah Pauline, Dhanalakshmi Samiappan, R Kumar, Narayanamoorthi R, Khin Wee Lai
A Low-Cost Multistage Cascaded Adaptive Filter Configuration for Noise Reduction in Phonocardiogram Signal. Journal of healthcare engineering 2022 (2022)
Chong Li, Mingzhao Yang, Yongting Zhang, Khin Wee Lai
An Intelligent Mental Health Identification Method for College Students: A Mixed-Method Study. International journal of environmental research and public health 19 (22) (2022)
S Vineth Ligi, Soumya Snigdha Kundu, R Kumar, Narayanamoorthi R, Khin Wee Lai, Dhanalakshmi Samiappan
Radiological Analysis of COVID-19 Using Computational Intelligence: A Broad Gauge Study. Journal of healthcare engineering 2022 (2022)
Woan Ching Serena Low, Khin Wee Lai, Joon Huang Chuah, Khairunnisa Hasikin, Azira Khalil, Pengjiang Qian, Kaijian Xia, Yizhang Jiang, Yuanpeng Zhang, Dhanalakshmi Samiappan
Multiclass Convolution Neural Network for Classification of COVID-19 CT Images. Computational intelligence and neuroscience 2022 (2022)
Mohd Redzuan Jamaludin, Khin Wee Lai, Joon Huang Chuah, Muhammad Afiq Zaki, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Dhanalakshmi Samiappan, Lim Beng Saw, Xiang Wu
Machine Learning Application of Transcranial Motor-Evoked Potential to Predict Positive Functional Outcomes of Patients. Computational intelligence and neuroscience 2022 (2022)
K A Saneera Hemantha Kulathilake, Nor Aniza Abdullah, A M Randitha Ravimal Bandara, Khin Wee Lai
InNetGAN: Inception Network-Based Generative Adversarial Network for Denoising Low-Dose Computed Tomography. Journal of healthcare engineering 2021 (2021)
Kareen Teo, Ching Wai Yong, Joon Huang Chuah, Yan Chai Hum, Yee Kai Tee, Kaijian Xia, Khin Wee Lai
Current Trends in Readmission Prediction: An Overview of Approaches. Arabian journal for science and engineering (2021)
Woan Ching Serena Low, Joon Huang Chuah, Clarence Augustine T H Tee, Shazia Anis, Muhammad Ali Shoaib, Amir Faisal, Azira Khalil, Khin Wee Lai
An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19. Computational and mathematical methods in medicine 2021 (2021)
K A Saneera Hemantha Kulathilake, Nor Aniza Abdullah, Aznul Qalid Md Sabri, Khin Wee Lai
A review on Deep Learning approaches for low-dose Computed Tomography restoration. Complex & intelligent systems (2021)
Mohd Redzuan Jamaludin, Khin Wee Lai, Joon Huang Chuah, Muhammad Afiq Zaki, Yan Chai Hum, Yee Kai Tee, Maheza Irna Mohd Salim, Lim Beng Saw
Transcranial Electrical Motor Evoked Potential in Predicting Positive Functional Outcome of Patients after Decompressive Spine Surgery: Review on Challenges and Recommendations towards Objective Interpretation. Behavioural neurology 2021 (2021)
Kareen Teo, Ching Wai Yong, Farina Muhamad, Hamidreza Mohafez, Khairunnisa Hasikin, Kaijian Xia, Pengjiang Qian, Dhanalakshmi Samiappan, Nugraha Priya Utama, Khin Wee Lai
The Promise for Reducing Healthcare Cost with Predictive Model: An Analysis with Quantized Evaluation Metric on Readmission. Journal of healthcare engineering 2021 (2021)
Pauline Shan Qing Yeoh, Khin Wee Lai, Siew Li Goh, Khairunnisa Hasikin, Yan Chai Hum, Yee Kai Tee, Dhanalakshmi Samiappan
Emergence of Deep Learning in Knee Osteoarthritis Diagnosis. Computational intelligence and neuroscience 2021 (2021)
Anis Shazia, Tan Zi Xuan, Joon Huang Chuah, Juliana Usman, Pengjiang Qian, Khin Wee Lai
A comparative study of multiple neural network for detection of COVID-19 on chest X-ray. EURASIP journal on advances in signal processing 2021 (1) (2021)
Azira Khalil, Siew-Cheok Ng, Yih Miin Liew, Khin Wee Lai
An Overview on Image Registration Techniques for Cardiac Diagnosis and Treatment. Cardiology research and practice 2018 (2018)
Amir Faisal, Siew-Cheok Ng, Siew-Li Goh, Khin Wee Lai
Knee cartilage segmentation and thickness computation from ultrasound images. Medical & biological engineering & computing 56 (4) (2017)

Khin Wee Lai.css-eqlu8i{font-size:small;padding-left:4px;} (Khin-Wee Lai)

Publication Activity (10 Years)

Top Topics

Top Venues

Khin Wee Lai (Khin-Wee Lai)