a
Identification and analysis of disease co-occurrences in hospital setting.
IMU Internal Research Grant | 30 Nov 2024 - 31 May 2025
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
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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
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Application of Machine Learning Techniques for Tuberculosis Diagnosis from Chest Radiographs
IMU Internal Research Grant | 28 May 2024 - 31 Dec 2024
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Application of Machine Learning on Prediction of Deaths in Severe Dengue
IMU Internal Research Grant | 11 Mar 2023 - 31 Dec 2023
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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
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Efficacy of texture analysis of pre-operative magnetic resonance imaging in predicting microvascular invasion in hepatocellular carcinoma
WORLD JOURNAL OF CLINICAL ONCOLOGY 2022
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Predicting early recurrence of hepatocellular carcinoma with texture analysis of preoperative MRI: a radiomics study
CLINICAL RADIOLOGY 2018
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Additively manufactured multi-material free-form structure with printed electronics
THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2018
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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
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Group average difference: a termination criterion for active contour
JOURNAL OF DIGITAL IMAGING 2012
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Enhancing the measurement accuracy of a cavity-enhanced fiber chemical sensor by an adaptive filter
MEASUREMENT SCIENCE AND TECHNOLOGY 2008
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Prediction of Lung Metastasis from Digital Chest Radiograph Using Texture Analysis and Machine Learning
2025 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC) | 01 Jan 2025
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Leveraging Artificial Intelligence, Networking and Communication Protocols for Sustainable Smart Cities: a Multi-Modal Framework for Urban Transformation
2025 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC) | 01 Jan 2025
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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
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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
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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
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Accuracy Enhancement of Fiber Gas Sensor by CRD Technique and LMS Algorithm
2007 Conference on Lasers and Electro-Optics-Pacific Rim | 01 Jan 2007
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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