| Machine learning and treatment outcome prediction for oral cancer CS Chu, NP Lee, J Adeoye, P Thomson, SW Choi Journal of Oral Pathology & Medicine 49 (10), 977-985, 2020 | 93 | 2020 |
| Prediction models applying machine learning to oral cavity cancer outcomes: a systematic review J Adeoye, JY Tan, SW Choi, P Thomson International journal of medical informatics 154, 104557, 2021 | 56 | 2021 |
| Deep learning predicts the malignant-transformation-free survival of oral potentially malignant disorders J Adeoye, M Koohi-Moghadam, AWI Lo, RKY Tsang, VLY Chow, ... Cancers 13 (23), 6054, 2021 | 41 | 2021 |
| Estimated incidence and prevalence of noma in north central Nigeria, 2010–2018: A retrospective study SA Bello, JA Adeoye, I Oketade, OA Akadiri PLoS neglected tropical diseases 13 (7), e0007574, 2019 | 32 | 2019 |
| Statistical profiling of oral cancer and the prediction of outcome W Wang, J Adeoye, P Thomson, SW Choi Journal of Oral Pathology & Medicine 50 (1), 39-46, 2021 | 31 | 2021 |
| Mental foramen size, position and symmetry in a multi-ethnic, urban black population: Radiographic evidence SA Bello, JA Adeoye, N Ighile, NU Ikimi Journal of oral & maxillofacial research 9 (4), 2018 | 30 | 2018 |
| Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis J Adeoye, L Hui, M Koohi-Moghadam, JY Tan, SW Choi, P Thomson International journal of medical informatics 157, 104635, 2022 | 27 | 2022 |
| “Search less, verify more”—Reviewing salivary biomarkers in oral cancer detection J Adeoye, PA Brennan, P Thomson Journal of Oral Pathology & Medicine 49 (8), 711-719, 2020 | 20 | 2020 |
| Prognostic value of non-smoking, non-alcohol drinking status in oral cavity cancer J Adeoye, L Hui, JY Tan, M Koohi-Moghadam, SW Choi, P Thomson Clinical Oral Investigations 25 (12), 6909-6918, 2021 | 19 | 2021 |
| Prevalence and presentation of hyperdontia in a non-syndromic, mixed Nigerian population S Bello, W Olatunbosun, J Adeoye, A Adebayo, N Ikimi Journal of Clinical and Experimental Dentistry 11 (10), e930, 2019 | 18 | 2019 |
| Bayesian disease mapping and the ‘High‐Risk’oral cancer population in Hong Kong J Adeoye, SW Choi, P Thomson Journal of Oral Pathology & Medicine 49 (9), 907-913, 2020 | 17 | 2020 |
| Prognostic significance of multi‐positive invasive histopathology in oral cancer J Adeoye, P Thomson, SW Choi Journal of Oral Pathology & Medicine 49 (10), 1004-1010, 2020 | 16 | 2020 |
| Artificial intelligence-based prediction for cancer-related outcomes in Africa: status and potential refinements J Adeoye, A Akinshipo, P Thomson, YX Su Journal of Global Health 12, 2022 | 15 | 2022 |
| Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer J Adeoye, L Hui, YX Su Journal of Big Data 10 (1), 28, 2023 | 14 | 2023 |
| Efficacy of hypermethylated DNA biomarkers in saliva and oral swabs for oral cancer diagnosis: Systematic review and meta‐analysis J Adeoye, AA Alade, W Zhu, W Wang, SW Choi, P Thomson Oral diseases 28 (3), 541-558, 2022 | 14 | 2022 |
| Multiple tumour recurrence in oral, head and neck cancer: Characterising the patient journey W Wang, J Adeoye, P Thomson, SW Choi Journal of Oral Pathology & Medicine 50 (10), 979-984, 2021 | 14 | 2021 |
| Machine learning-based genome-wide salivary DNA methylation analysis for identification of noninvasive biomarkers in oral cancer diagnosis J Adeoye, CCJ Wan, LW Zheng, P Thomson, SW Choi, YX Su Cancers 14 (19), 4935, 2022 | 13 | 2022 |
| Artificial intelligence in salivary biomarker discovery and validation for oral diseases J Adeoye, YX Su Oral Diseases 30 (1), 23-37, 2024 | 12 | 2024 |
| ‘The double-edged sword’–an hypothesis for Covid-19-induced salivary biomarkers J Adeoye, P Thomson Medical hypotheses 143, 110124, 2020 | 12 | 2020 |
| Strategies to improve diagnosis and risk assessment for oral cancer patients J Adeoye, P Thomson Faculty Dental Journal 11 (3), 122-127, 2020 | 12 | 2020 |
