| Automated tongue feature extraction for ZHENG classification in traditional Chinese medicine R Kanawong, T Obafemi-Ajayi, T Ma, D Xu, S Li, Y Duan Evidence‐Based Complementary and Alternative Medicine 2012 (1), 912852, 2012 | 83 | 2012 |
| Blood biomarkers for mild traumatic brain injury: a selective review of unresolved issues DB Hier, T Obafemi-Ajayi, MS Thimgan, GR Olbricht, S Azizi, B Allen, ... Biomarker research 9, 1-17, 2021 | 74 | 2021 |
| Computational learning approaches to data analytics in biomedical applications K Al-Jabery, T Obafemi-Ajayi, G Olbricht, D Wunsch Academic Press, 2019 | 65 | 2019 |
| Facial structure analysis separates autism spectrum disorders into meaningful clinical subgroups T Obafemi-Ajayi, JH Miles, TN Takahashi, W Qi, K Aldridge, M Zhang, ... Journal of autism and developmental disorders 45, 1302-1317, 2015 | 59 | 2015 |
| Character-based automated human perception quality assessment in document images T Obafemi-Ajayi, G Agam IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2011 | 40 | 2011 |
| Tongue image analysis and its mobile app development for health diagnosis R Kanawong, T Obafemi-Ajayi, D Liu, M Zhang, D Xu, Y Duan Translational Informatics in Smart Healthcare, 99-121, 2017 | 26 | 2017 |
| A kinetic model for blood biomarker levels after mild traumatic brain injury S Azizi, DB Hier, B Allen, T Obafemi-Ajayi, GR Olbricht, MS Thimgan, ... Frontiers in neurology 12, 668606, 2021 | 25 | 2021 |
| An explainable and statistically validated ensemble clustering model applied to the identification of traumatic brain injury subgroups D Yeboah, L Steinmeister, DB Hier, B Hadi, DC Wunsch, GR Olbricht, ... IEEE Access 8, 180690-180705, 2020 | 23 | 2020 |
| Features for automated tongue image shape classification T Obafemi-Ajayi, R Kanawong, D Xu, S Li, Y Duan 2012 IEEE International Conference on Bioinformatics and Biomedicine …, 2012 | 22 | 2012 |
| Biomarker discovery in inflammatory bowel diseases using network-based feature selection M Abbas, J Matta, T Le, H Bensmail, T Obafemi-Ajayi, V Honavar, ... PloS one 14 (11), e0225382, 2019 | 20 | 2019 |
| Data preprocessing KK Al-jabery, T Obafemi-Ajayi, GR Olbricht, DC Wunsch II Computational Learning Approaches to Data Analytics in Biomedical …, 2020 | 19 | 2020 |
| Ensemble statistical and subspace clustering model for analysis of autism spectrum disorder phenotypes K Al-Jabery, T Obafemi-Ajayi, GR Olbricht, TN Takahashi, S Kanne, ... 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 19 | 2016 |
| ZHENG classification in Traditional Chinese Medicine based on modified specular-free tongue images R Kanawong, T Obafemi-Ajayi, J Yu, D Xu, S Li, Y Duan 2012 IEEE International Conference on Bioinformatics and Biomedicine …, 2012 | 17 | 2012 |
| DC 9-Data analysis and machine learning tools in MATLAB and Python KK Al-jabery, T Obafemi-Ajayi, GR Olbricht, II Wunsch Computational Learning Approaches to Data Analytics in Biomedical …, 2020 | 16 | 2020 |
| Sorting the phenotypic heterogeneity of autism spectrum disorders: A hierarchical clustering model T Obafemi-Ajayi, D Lam, TN Takahashi, S Kanne, D Wunsch 2015 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2015 | 16 | 2015 |
| Applications of node-based resilience graph theoretic framework to clustering autism spectrum disorders phenotypes J Matta, J Zhao, G Ercal, T Obafemi-Ajayi Applied network science 3, 1-22, 2018 | 15 | 2018 |
| Robust graph-theoretic clustering approaches using node-based resilience measures J Matta, T Obafemi-Ajayi, J Borwey, D Wunsch, G Ercal 2016 IEEE 16th international conference on data mining (ICDM), 320-329, 2016 | 15 | 2016 |
| Node-based resilience measure clustering with applications to noisy and overlapping communities in complex networks J Matta, T Obafemi-Ajayi, J Borwey, K Sinha, D Wunsch, G Ercal Applied Sciences 8 (8), 1307, 2018 | 14 | 2018 |
| Comparative analysis of feature selection methods to identify biomarkers in a stroke-related dataset T Clifford, J Bruce, T Obafemi-Ajayi, J Matta 2019 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2019 | 12 | 2019 |
| Ensemble LUT classification for degraded document enhancement T Obafemi-Ajayi, G Agam, O Frieder Document Recognition and Retrieval XV 6815, 70-78, 2008 | 12 | 2008 |
