| Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art A Adegun, S Viriri Artificial Intelligence Review 54 (2), 811-841, 2021 | 306 | 2021 |
| Deep learning-based system for automatic melanoma detection AA Adegun, S Viriri IEEE Access 8, 7160-7172, 2019 | 211 | 2019 |
| FCN-based DenseNet framework for automated detection and classification of skin lesions in dermoscopy images AA Adegun, S Viriri IEEE Access 8, 150377-150396, 2020 | 182 | 2020 |
| Long short-term memory recurrent neural network for automatic speech recognition J Oruh, S Viriri, A Adegun IEEE Access 10, 30069-30079, 2022 | 135 | 2022 |
| Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis AA Adegun, S Viriri, JR Tapamo Journal of Big Data 10 (1), 93, 2023 | 96 | 2023 |
| Deep learning approach for medical image analysis AA Adegun, S Viriri, RO Ogundokun Computational Intelligence and Neuroscience 2021 (1), 6215281, 2021 | 50 | 2021 |
| Skin lesion images segmentation: A survey of the state-of-the-art AA Adeyinka, S Viriri Mining Intelligence and Knowledge Exploration: 6th International Conference …, 2018 | 40 | 2018 |
| Application of data mining algorithms for feature selection and prediction of diabetic retinopathy TO Oladele, RO Ogundokun, AA Kayode, AA Adegun, MO Adebiyi Computational Science and Its Applications–ICCSA 2019: 19th International …, 2019 | 34 | 2019 |
| An automated mammogram classification system using modified support vector machine AA Kayode, NO Akande, AA Adegun, MO Adebiyi Medical Devices: Evidence and Research, 275-284, 2019 | 33 | 2019 |
| An enhanced deep learning framework for skin lesions segmentation A Adegun, S Viriri Computational Collective Intelligence: 11th International Conference, ICCCI …, 2019 | 31 | 2019 |
| Prediction of student’s academic performance using k-means clustering and multiple linear regressions OT Omolewa, AT Oladele, AA Adeyinka, OR Oluwaseun Journal of Engineering and Applied Sciences 14 (22), 8254-8260, 2019 | 27 | 2019 |
| State-of-the-Art deep learning methods for objects detection in remote sensing satellite images AA Adegun, JV Fonou Dombeu, S Viriri, J Odindi Sensors 23 (13), 5849, 2023 | 26 | 2023 |
| Electronic medical information encryption using modified blowfish algorithm NO Akande, CO Abikoye, MO Adebiyi, AA Kayode, AA Adegun, ... Computational Science and Its Applications–ICCSA 2019: 19th International …, 2019 | 26 | 2019 |
| Deep learning model for skin lesion segmentation: Fully convolutional network A Adegun, S Viriri International conference on image analysis and recognition, 232-242, 2019 | 21 | 2019 |
| Performance investigation of two-stage detection techniques using traffic light detection dataset SA Ajagbe, AA Adegun, AB Olanrewaju, JB Oladosu, MO Adigun IAES International Journal of Artificial Intelligence (IJ-AI) 12 (4), 1909-1919, 2023 | 20 | 2023 |
| Development of an inventory management system using association rule TO Oladele, RO Ogundokun, AA Adegun, EA Adeniyi, AT Ajanaku Indonesian Journal of Electrical Engineering and Computer Science 21 (3 …, 2021 | 20 | 2021 |
| A deep convolutional encoder-decoder architecture for retinal blood vessels segmentation AA Adeyinka, MO Adebiyi, NO Akande, RO Ogundokun, AA Kayode, ... Computational Science and Its Applications–ICCSA 2019: 19th International …, 2019 | 20 | 2019 |
| Image segmentation and classification of large scale satellite imagery for land use: a review of the state of the arts A Adegun, N Akande, R Ogundokun, E Asani Int. J. Civ. Eng. Technol 9 (11), 1534-1541, 2018 | 20 | 2018 |
| A probabilistic-based deep learning model for skin lesion segmentation AA Adegun, S Viriri, MH Yousaf Applied Sciences 11 (7), 3025, 2021 | 18 | 2021 |
| Lightweight deep learning framework for speech emotion recognition S Akinpelu, S Viriri, A Adegun IEEE Access 11, 77086-77098, 2023 | 14 | 2023 |
Emmanuel Oluwatobi Asani (PhD)Department of Computer Science, Landmark UniversityEmail được xác minh tại lmu.edu.ng