| A snapshot of lung cancer: Where are we now?—A narrative review G Ibodeng, IN Uche, R Mokua, M Galo, B Odigwe, JN Galeas, S Dasgupta Annals of Translational Medicine 11 (6), 2023 | 10 | 2023 |
| Automated analysis of femoral artery calcification using machine learning techniques L Zhao, B Odigwe, S Lessner, D Clair, F Mussa, H Valafar 2019 International Conference on Computational Science and Computational …, 2019 | 9 | 2019 |
| Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy BE Odigwe, FG Spinale, H Valafar arXiv preprint arXiv:2109.06139, 2021 | 6 | 2021 |
| Modelling of Sickle Cell Anemia Patients Response to Hydroxyurea using Artificial Neural Networks BE Odigwe, JS Eyitayo, CI Odigwe, H Valafar arXiv preprint arXiv:1911.10978, 2019 | 6 | 2019 |
| Application of machine learning for patient response prediction to cardiac resynchronization therapy BE Odigwe, AB Rajeoni, CI Odigwe, FG Spinale, H Valafar Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 5 | 2022 |
| A snapshot of lung cancer: where are we now?—a narrative G Ibodeng, IN Uche, R Mokua, M Galo, B Odigwe, JN Galeas, S Dasgupta | | 2023 |
| Applications of Machine Learning for Improved Patient Selection and Therapy Recommendations BE Odigwe University of South Carolina, 2022 | | 2022 |
