Skin Lesion Images Segmentation: A Survey of the State-of-the-Art. - Adegun Adekanmi Adeyinka; Serestina Viriri (MIKE, 2018)

An Enhanced Deep Learning Framework for Skin Lesions Segmentation. - Adekanmi Adegun; Serestina Viriri (ICCCI (1), 2019)

Fully Convolutional Encoder-Decoder Architecture (FCEDA) for Skin Lesions Segmentation. - Adekanmi Adegun; Serestina Viriri (ICCCI (1), 2019)

Computational Investigation of Consistency and Performance of the Biochemical Network of the Malaria Parasite, Plasmodium falciparum. - Marion O. Adebiyi; Bolaji Famuyiwa; Abayomi Mosaku; Roseline Ogundokun; Olaolu Arowolo; Noah Akande; Adekanmi Adegun; Aderonke Kayode; Ayodele Ariyo Adebiyi; Ezekiel F. Adebiyi (ICCSA (5), 2019)

A Deep Convolutional Encoder-Decoder Architecture for Retinal Blood Vessels Segmentation. - Adegun Adekanmi Adeyinka; Marion Olubunmi Adebiyi; Noah Oluwatobi Akande; Roseline Oluwaseun Ogundokun; Anthonia Aderonke Kayode; Tinuke Omolewa Oladele (ICCSA (5), 2019)

Electronic Medical Information Encryption Using Modified Blowfish Algorithm. - Noah Oluwatobi Akande; Christiana Oluwakemi Abikoye; Marion Olubunmi Adebiyi; Anthonia Aderonke Kayode; Adekanmi Adeyinka Adegun; Roseline Oluwaseun Ogundokun (ICCSA (5), 2019)

Application of Data Mining Algorithms for Feature Selection and Prediction of Diabetic Retinopathy. - Tinuke Omolewa Oladele; Roseline Oluwaseun Ogundokun; Anthonia Aderonke Kayode; Adekanmi Adeyinka Adegun; Marion Oluwabunmi Adebiyi (ICCSA (5), 2019)

Deep Learning Model for Skin Lesion Segmentation: Fully Convolutional Network. - Adekanmi Adegun; Serestina Viriri (ICIAR (2), 2019)

Skin Lesion Segmentation Based on Region-Edge Markov Random Field. - Omran Salih; Serestina Viriri; Adekanmi Adegun (ISVC (2), 2019)

Deep Convolutional Network-Based Framework for Melanoma Lesion Detection and Segmentation. - Adekanmi Adegun; Serestina Viriri (ACIVS, 2020)

Deep Learning-Based System for Automatic Melanoma Detection. - Adekanmi Adegun; Serestina Viriri (IEEE Access, 2020)

FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images. - Adekanmi Adeyinka Adegun; Serestina Viriri (IEEE Access, 2020)

Development of a Real Time Smishing Detection Mobile Application using Rule Based Techniques. - Noah Oluwatobi Akande; Hakeem Babalola Akande; Anthonia Aderonke Kayode; Adegun Adekanmi Adeyinka; Olaiya Folorunsho; Gbenle Oluwadara (ITQM, 2021)

Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art. - Adekanmi Adegun; Serestina Viriri (Artif. Intell. Rev., 2021)

Deep Learning Approach for Medical Image Analysis. - Adekanmi Adeyinka Adegun; Serestina Viriri; Roseline Oluwaseun Ogundokun (Comput. Intell. Neurosci., 2021)

Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition. - Jane Oruh; Serestina Viriri; Adekanmi Adegun (IEEE Access, 2022)

Performance of Machine Learning Models for Pandemic Detection Using COVID-19 Dataset. - Sunday Adeola Ajagbe; Adekanmi Adeyinka Adegun; Pragasen Mudali; Matthew Olusegun Adigun (AFRICON, 2023)

Lightweight Deep Learning Framework for Speech Emotion Recognition. - Samson Akinpelu; Serestina Viriri; Adekanmi Adegun (IEEE Access, 2023)

mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world. - Emmanuel Oluwatobi Asani; Yomi Phineas Osadeyi; Adekanmi Adeyinka Adegun; Serestina Viriri; Joyce Ayoola; Ebenezer Ayorinde Kolawole (Frontiers Artif. Intell., 2023)

Corrigendum: mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world. - Emmanuel Oluwatobi Asani; Yomi Phineas Osadeyi; Adekanmi Adeyinka Adegun; Serestina Viriri; Joyce Ayoola; Ebenezer Ayorinde Kolawole (Frontiers Artif. Intell., 2023)

State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images. - Adekanmi Adeyinka Adegun; Jean Vincent Fonou Dombeu; Serestina Viriri; John Odindi (Sensors, 2023)

Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis. - Adekanmi Adeyinka Adegun; Serestina Viriri; Jules-Raymond Tapamo (J. Big Data, 2023)

Automated classification of remote sensing satellite images using deep learning based vision transformer. - Adekanmi Adegun; Serestina Viriri; Jules-Raymond Tapamo (Appl. Intell., 2024)