Medical Imaging
Deep learning for reading and interpreting medical images, such as ultrasound, to support diagnosis and clinical decisions.
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Deep learning for fabrication and maturation of 3D bioprinted tissues and organs
WL Ng, A Chan, YS Ong, CK Chua. Cited by 171
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Cognizant multitasking in multiobjective multifactorial evolution: MO-MFEA-II
KK Bali, A Gupta, YS Ong, PS Tan. Cited by 199
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Boosting the transferability of adversarial samples via attention
W Wu, Y Su, X Chen, S Zhao, I King, MR Lyu, YW Tai. Cited by 206
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Perceived usability evaluation of Microsoft Teams as an online learning platform during COVID-19 using system usability scale and technology acceptance model in India
D Pal, V Vanijja. Cited by 630
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Feature selection in GSNFS-based marker identification
S Kozuevanich, JH Chan, A Meechai. Cited by 2
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Tuning a Cancer Patient Typology Based on Emergency Department Visits
M Rouzbahman, L Wang, M Chignell, L Zucherman, N Charoenkitkarn, LC Barbera. Cited by 1
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Predicting Emergency Department Visits Based on Cancer Patient Types
M Rouzbahman, L Wang, M Chignell, L Zucherman, N Charoenkitkarn, LC Barbera. Cited by 1
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Utilizing Gene Co-expression Network for Identifying Subnetwork Biomarkers for Cancer
N Doungpan, JH Chan, A Meechai
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Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II
KK Bali, YS Ong, A Gupta, PS Tan. Cited by 441
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Development of Biomedical Corpus Enlargement Platform Using BERT for Bio-entity Recognition
T Phongwattana, JH Chan. Cited by 4
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In silico engineering of Pseudomonas metabolism reveals new biomarkers for increased biosurfactant production
A Occhipinti, F Eyassu, T Rahman, PKSM Rahman, C Angione. Cited by 33
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Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study
H Li, YS Ong, M Gong, Z Wang. Cited by 93