Chuah Tong Kuan
Salutation
Dr
School/Centre
School of Business and Technology
Department
Digital Health and Health Informatics (DHHI)
Position
Senior Lecturer
Email
Education
a
PhD (Bioengineering), 2013
Nanyang Technological University
a
BEng (Bioengineering), 2008
Nanyang Technological University
Memberships
a
Board of Engineers Malaysia | National | Graduate Engineer
Research Funding
a
Comparing Factors that Predict the Risk of Tooth Loss in Individuals with and without Diabetes using Machine Learning Algorithms
IMU Internal Research Grant | 28 May 2024 - 31 Dec 2024
a
Feature Interaction Modelling for Improved Dental Implant Failure Prediction with Machine Learning
IMU Internal Research Grant | 28 May 2024 - 31 Dec 2024
a
Image Segmentation of Carbohydrates on Plates of Cooked Meals
IMU Internal Research Grant | 28 May 2024 - 31 Dec 2024
a
Application of Machine Learning Techniques for Tuberculosis Diagnosis from Chest Radiographs
IMU Internal Research Grant | 28 May 2024 - 31 Dec 2024
a
Application of Machine Learning on Prediction of Deaths in Severe Dengue
IMU Internal Research Grant | 11 Mar 2023 - 31 Dec 2023
a
Image Recognition using Machine Learning to Determine Calorie and Sugar Content in Fruits and Vegetables for Individuals with Diabetes
IMU Internal Research Grant | 11 Mar 2023 - 31 Dec 2023
Publications
Research Articles
a
Efficacy of texture analysis of pre-operative magnetic resonance imaging in predicting microvascular invasion in hepatocellular carcinoma
WORLD JOURNAL OF CLINICAL ONCOLOGY | 2022
a
Additively manufactured multi-material free-form structure with printed electronics
THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2018
a
Predicting early recurrence of hepatocellular carcinoma with texture analysis of preoperative MRI: a radiomics study
CLINICAL RADIOLOGY | 2018
a
Active Infrared Sensing of Impact Damage in Carbon Fibre Reinforced Polymer
N/A | 2014
a
Active infrared sensing of impact damage in carbon fibre reinforced polymer
CONFERENCE PROCEEDING FOR THE 12TH INTERNATIONAL CONFERENCE ON QUANTITATIVE INFRARED THERMOGRAPHY, QIRT | 2014
a
Texture analysis of bone marrow in knee MRI for classification of subjects with bone marrow lesion—data from the Osteoarthritis Initiative
MAGNETIC RESONANCE IMAGING | 2013
a
Group average difference: a termination criterion for active contour
JOURNAL OF DIGITAL IMAGING | 2012
a
A medical image-based computer-aided diagnosis system for musculoskeletal disease and disorder.
N/A | 2012
Other Publications
a
Quantitative texture analysis of MRI images for detection of cartilage-related bone marrow edema
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society | 01 Jan 2011
a
Differentiating healthy cartilage and damaged cartilage using magnetic resonance images in a quantitative manner
2010 International Conference on Digital Image Computing: Techniques and Applications | 01 Jan 2010
a
Bone segmentation of magnetic resonance images by gradient vector flow active contour with atlas based centroid forces
2010 International Conference on Digital Image Computing: Techniques and Applications | 01 Jan 2010
Supervisions
a
Yee Li Xien | Master (Coursework) | 28 May 2024
Thesis: Image Segmentation of Carbohydrates on Plates of Cooked Meals
a
MOHAN DASS A/L PATHMANATHAN | Master (Coursework) | 28 May 2024
Thesis: Application of Machine Learning Techniques for Tuberculosis Diagnosis from Chest Radiographs
a
DARRSHINI A/P PARTHIBHAN | Master (Coursework) | 28 May 2024
Thesis: Comparing Factors that Predict the Risk of Tooth Loss in Diabetic and Non-Diabetic Individuals using Machine Learning Algorithms
a
SIMRANJEET KAUR | Master (Coursework) | 28 May 2024
Thesis: Feature Interaction Modelling for Improved Dental Implant Failure Prediction with Machine Learning
a
DURATUL’AIN BINTI MOHAMAD NAZRI | Master (Coursework) | 11 Mar 2023 - 31 Dec 2023
Thesis: Application of Machine Learning on Prediction of Deaths in Severe Dengue
a
NARMATHAA A/P KISHORE KUMAR | Master (Coursework) | 11 Mar 2023 - 31 Dec 2023
Thesis: Image Recognition using Machine Learning to Determine Calorie and Sugar Content in Fruits and Vegetables for Individuals with Diabetes