| Methods for image denoising using convolutional neural network: a review AE Ilesanmi, TO Ilesanmi Complex & Intelligent Systems 7 (5), 2179-2198, 2021 | 181 | 2021 |
| A method for segmentation of tumors in breast ultrasound images using the variant enhanced deep learning AE Ilesanmi, U Chaumrattanakul, SS Makhanov Biocybernetics and Biomedical Engineering 41 (2), 802-818, 2021 | 48 | 2021 |
| An integrated deep learning model for motor intention recognition of multi-class EEG Signals in upper limb amputees OP Idowu, AE Ilesanmi, X Li, OW Samuel, P Fang, G Li Computer Methods and Programs in Biomedicine 206, 106121, 2021 | 31 | 2021 |
| Methods for the segmentation and classification of breast ultrasound images: a review AE Ilesanmi, U Chaumrattanakul, SS Makhanov Journal of Ultrasound, 1-16, 2021 | 28 | 2021 |
| Multiscale superpixel method for segmentation of breast ultrasound AE Ilesanmi, OP Idowu, SS Makhanov Computers in Biology and Medicine 125, 103879, 2020 | 26 | 2020 |
| Neuro-evolutionary approach for optimal selection of EEG channels in motor imagery based BCI application OP Idowu, O Adelopo, AE Ilesanmi, X Li, OW Samuel, P Fang, G Li Biomedical Signal Processing and Control 68, 102621, 2021 | 25 | 2021 |
| Efficient and accurate hemorrhages detection in retinal fundus images using smart window features T Aziz, AE Ilesanmi, C Charoenlarpnopparut Applied Sciences 11 (14), 6391, 2021 | 22 | 2021 |
| Multiscale hybrid algorithm for pre-processing of ultrasound images AE Ilesanmi, OP Idowu, U Chaumrattanakul, SS Makhanov Biomedical Signal Processing and Control 66, 102396, 2021 | 20 | 2021 |
| Organ segmentation from computed tomography images using the 3D convolutional neural network: a systematic review AE Ilesanmi, T Ilesanmi, OP Idowu, DA Torigian, JK Udupa International Journal of Multimedia Information Retrieval 11 (3), 315-331, 2022 | 9 | 2022 |
| A systematic review of retinal fundus image segmentation and classification methods using convolutional neural networks AE Ilesanmi, T Ilesanmi, AG Gbotoso Healthcare Analytics, 100261, 2023 | 7 | 2023 |
| Segmentation and Classification of Retinal Fundus Images using Convolutional Neural Networks: A systematic review of methods and latest trends A Ilesanmi, T Ilesanmi, OP Idowu, DA Torigian, JK Udupa | 1 | 2022 |
| Reviewing 3D convolutional neural network approaches for medical image segmentation AE Ilesanmi, TO Ilesanmi, BO Ajayi Heliyon, 2024 | | 2024 |
| Auto-segmentation of thoracic brachial plexuses for radiation therapy planning AE Ilesanmi, JK Udupa, Y Tong, T Liu, D Odhner, G Pednekar, S Nag, ... Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and …, 2023 | | 2023 |
| Strategies to get more student enrolled in Universities in Nigeria A Ilesanmi https://zenodo.org/record/7815123#.ZDleVBPMK1R, 2023 | | 2023 |
| Multiscale hybrid superpixel method for pre-processing and segmentation of breast tumors in ultrasound images AE Ilesanmi, SS Makhanov Thammasat University, 2020 | | 2020 |
Oluwagbenga Paul IdowuUniversity of Calgary, AB CanadaVerified email at ucalgary.ca
