Yee Kai Tee

ResearcherID Scopus Author ID Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Venues

Diagnostics (Basel, Switzerland)

Computational intelligence and neuroscience

Magnetic resonance in medicine

Behavioural neurology

Universiti Tunku Abdul Rahman

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

Affiliation History

Universiti Tunku Abdul Rahman Oct 23 2014

Malaysia

Assistant Professor :: DMBE

Publications

Wee Jian Chin, Ban Hoe Kwan, Wei Yin Lim, Yee Kai Tee, Shalini Darmaraju, Haipeng Liu, Choon-Hian Goh
A Novel Respiratory Rate Estimation Algorithm from Photoplethysmogram Using Deep Learning Model. Diagnostics (Basel, Switzerland) 14 (3) (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)
Wee Jian Chin, Ban Hoe Kwan, Wei Yin Lim, Yee Kai Tee, Shalini Darmaraju, Haipeng Liu, Choon-Hian Goh
A Novel Respiratory Rate Estimation Algorithm from Photoplethysmogram Using Deep Learning Model. Diagnostics (Basel, Switzerland) 14 (3) (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)
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)
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, 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)
Hye-Young Heo, Yee Kai Tee, George Harston, Richard Leigh, Michael A Chappell
Amide proton transfer imaging in stroke. NMR in biomedicine (2022)
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)
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)
Lee Sze Foo, James R Larkin, Brad A Sutherland, Kevin J Ray, Wun-She Yap, Yan Chai Hum, Khin Wee Lai, Hanani Abdul Manan, Nicola R Sibson, Yee Kai Tee
Study of common quantification methods of amide proton transfer magnetic resonance imaging for ischemic stroke detection. Magnetic resonance in medicine 85 (4) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yee Kai Tee