1. Adeoye J, Su YX. Deep learning with data transformation improves cancer risk prediction in oral precancerous conditions. Intelligent Medicine. 2025. https://doi.org/10.1016/j.imed.2024.11.003
2. Adeoye J, Chaurasia A, Akinshipo A, Suleiman IK, Zheng LW, Lo AWI, Pu JJ, Bello S, Oginni FO, Agho ET, Braimah RO, Su YX. A Deep Learning System to Predict Epithelial Dysplasia in Oral Leukoplakia. J Dent Res. 2024;103(12):1218-1226. https://doi.org/10.1177/00220345241272048
3. Adeoye J, Su Y-X. Leveraging artificial intelligence for perioperative cancer risk assessment of oral potentially malignant disorders. International Journal of Surgery 2024:110(3):1677-1686. https://doi.org/10.1097/js9.0000000000000979
4. Adeoye J, Su YX. Artificial intelligence in salivary biomarker discovery and validation for oral diseases. Oral Dis. 2024 Jan;30(1):23-37. https://doi.org/10.1111/odi.14641
5. Adeoye J, Koohi-Moghadam M, Choi S-W, Zheng L-W, Lo AWI, Tsang RK-Y, Chow VLY, Akinshipo A, Thomson P, Su Y-X. Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning. Journal of Big Data 2023;10(1):39. https://doi.org/10.1186/s40537-023-00714-7
6. Adeoye J, Hui L, Su Y-X. Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer. Journal of Big Data 2023;10(1):28. https://doi.org/10.1186/s40537-023-00703-w
7. Adeoye J, Zheng LW, Thomson P, Choi SW, Su YX. Explainable ensemble learning model improves identification of candidates for oral cancer screening. Oral Oncol. 2023;136:106278. https://doi.org/10.1016/j.oraloncology.2022.106278
8. Adeoye J, Akinshipo A, Koohi-Moghadam M, Thomson P, Su YX. Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A scoping review. Front Oncol. 2022;12:976168. https://doi.org/10.3389/fonc.2022.976168
9. Adeoye J, Wan CCJ, Zheng LW, Thomson P, Choi SW, Su YX. Machine Learning-Based Genome-Wide Salivary DNA Methylation Analysis for Identification of Noninvasive Biomarkers in Oral Cancer Diagnosis. Cancers (Basel). 2022;14(19):4935. https://doi.org/10.3390/cancers14194935
10. Adeoye J, Akinshipo A, Thomson P, Su YX. Artificial intelligence-based prediction for cancer-related outcomes in Africa: Status and potential refinements. J Glob Health. 2022;12:03017. https://doi.org/10.7189/jogh.12.03017
11. Adeoye J, Koohi-Moghadam M, Lo AWI, Tsang RK, Chow VLY, Zheng LW, Choi SW, Thomson P, Su YX. Deep Learning Predicts the Malignant-Transformation-Free Survival of Oral Potentially Malignant Disorders. Cancers (Basel). 2021;13(23):6054. https://doi.org/10.3390/cancers13236054