18 citations · 31 across the 14 of their papers we have counts for
14 papers
A modified peer instruction protocol: peer versus teacher's instruction
Boon Leong Lan, Pooi Mee Lim, Patrick W. C. Ho
Peer Instruction (PI) was introduced by Mazur to help students learn physics concepts during lectures. Besides physics, PI has also been adopted in other STEM fields. In this appro…
Epileptic Seizure Classification Using Combined Labels and a Genetic Algorithm
Scot Davidson, Niamh McCallan, Kok Yew Ng +4
Epilepsy affects 50 million people worldwide and is one of the most common serious neurological disorders. Seizure detection and classification is a valuable tool for diagnosing an…
Seizure Classification of EEG based on Wavelet Signal Denoising Using a Novel Channel Selection Algorithm
Niamh McCallan, Scot Davidson, Kok Yew Ng +4
Epilepsy is a disorder of the nervous system that can affect people of any age group. With roughly 50 million people worldwide diagnosed with the disorder, it is one of the most co…
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation
Andrea Liew, Chun Cheng Lee, Boon Leong Lan +1
Convolutional neural networks (CNNs) have been used quite successfully for semantic segmentation of brain tumors. However, current CNNs and attention mechanisms are stochastic in n…
A new semi-supervised self-training method for lung cancer prediction
Kelvin Shak, Mundher Al-Shabi, Andrea Liew +4
Background and Objective: Early detection of lung cancer is crucial as it has high mortality rate with patients commonly present with the disease at stage 3 and above. There are on…
Lung Nodule Classification using Deep Local-Global Networks
Mundher Al-Shabi, Boon Leong Lan, Wai Yee Chan +2
Purpose: Lung nodules have very diverse shapes and sizes, which makes classifying them as benign/malignant a challenging problem. In this paper, we propose a novel method to predic…