Publications

Our research contributions in malaria detection and AI-driven diagnostics

Machine and deep learning methods in identifying malaria through microscopic blood smear: A systematic review

Sukumarran, Dhevisha; Hasikin, Khairunnisa; Khairuddin, Anis Salwa Mohd; Ngui, Romano; Sulaiman, Wan Yusoff Wan; Vythilingam, Indra; Divis, Paul C. S.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 2024. 133.

DOI: 10.1016/j.engappai.2024.108529

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An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images

Sukumarran, Dhevisha; Hasikin, Khairunnisa; Khairuddin, Anis Salwa Mohd; Ngui, Romano; Sulaiman, Wan Yusoff Wan; Vythilingam, Indra; Divis, Paul Cliff Simon

PARASITES & VECTORS. 2024. 17(1).

DOI: 10.1186/s13071-024-06215-7

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Automated Identification of Malaria-Infected Cells and Classification of Human Malaria Parasites Using a Two-Stage Deep Learning Technique

Sukumarran, Dhevisha; Loh, Ee Sam; Khairuddin, Anis Salwa Mohd; Ngui, Romano; Sulaiman, Wan Yusoff Wan; Vythilingam, Indra; Divis, Paul Cliff Simon; Hasikin, Khairunnisa

IEEE ACCESS. 2024. 12. 135746-135763.

DOI: 10.1109/ACCESS.2024.3459411

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An automated malaria cells detection from thin blood smear images using deep learning

Sukumarran, D.; Hasikin, K.; Khairuddin, Mohd; Ngui, R.; Sulaiman, Wan; Vythilingam, I.; Divis, P. C. S.

TROPICAL BIOMEDICINE. 2023. 40(2). 208-219.

DOI: 10.47665/tb.40.2.013

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Insights into AI-Driven malaria diagnosis: A systematic review with implications for Plasmodium knowlesi

Tiong, J. Y., Hasikin, K., Ngui, R., Divis, P. C. S., Loo, C. K., Lai, K. W., Cheong, F. W., & Wan Sulaiman, W. Y.

Acta Tropica. 2025. 271. 107842.

DOI: 10.1016/j.actatropica.2025.107842

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