LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images. - Chiagoziem Chima Ukwuoma; Zhiguang Qin; Victor Kwaku Agbesi; Chukwuebuka Joseph Ejiyi; Olusola Bamisile; Ijeoma Amuche Chikwendu; Bole Wilfried Tienin; Md Altab Hossin (Comput. Biol. Medicine, 2022)

A Distributed Diffusion Kalman Filter In Multitask Networks. - Ijeoma Amuche Chikwendu; Kulevome Delanyo Kwame Bensah; Chiagoziem Chima Ukwuoma; Chukwuebuka Joseph Ejiyi (CoRR, 2022)

RPNet: Rotational pooling net for efficient Micro Aerial Vehicle trail navigation. - Isaac Osei Agyemang; Xiaoling Zhang; Daniel Acheampong; Isaac Adjei-Mensah; Enoch Opanin Gyamfi; Joseph Roger Arhin; Williams Ayivi; Ijeoma Amuche Chikwendu (Eng. Appl. Artif. Intell., 2022)

Comparative Analysis of Building Insurance Prediction Using Some Machine Learning Algorithms. - Chukwuebuka Joseph Ejiyi; Zhen Qin 002; Abdulhaq Adetunji Salako; Happy Nkanta Monday; Grace Ugochi Nneji; Chiagoziem Chima Ukwuoma; Ijeoma Amuche Chikwendu; Ji Geng 001 (Int. J. Interact. Multim. Artif. Intell., 2022)

Synthetic Aperture Radar Automatic Target Recognition Based on a Simple Attention Mechanism. - Chiagoziem Chima Ukwuoma; Zhiguang Qin; Bole Wilfried Tienin; Sophyani Banaamwini Yussif; Chukwuebuka Joseph Ejiyi; Gilbert C. Urama; Chibueze D. Ukwuoma; Ijeoma Amuche Chikwendu (Int. J. Interact. Multim. Artif. Intell., 2023)

A Comprehensive Survey on Deep Graph Representation Learning Methods. - Ijeoma Amuche Chikwendu; Xiaoling Zhang; Isaac Osei Agyemang; Isaac Adjei-Mensah; Chiagoziem Chima Ukwuoma; Chukwuebuka Joseph Ejiyi (J. Artif. Intell. Res., 2023)

Polynomial-SHAP analysis of liver disease markers for capturing of complex feature interactions in machine learning models. - Chukwuebuka Joseph Ejiyi; Dongsheng Cai; Makuachukwu Bennedith Ejiyi; Ijeoma Amuche Chikwendu; Kenneth Coker; Ariyo Oluwasanmi; Oluwatoyosi F. Bamisile; Thomas Ugochukwu Ejiyi; Zhen Qin 002 (Comput. Biol. Medicine, 2024)

Cov-Fed: Federated learning-based framework for COVID-19 diagnosis using chest X-ray scans. - Isaac Adjei-Mensah; Xiaoling Zhang; Isaac Osei Agyemang; Sophyani Banaamwini Yussif; Adu Asare Baffour; Bernard Mawuli Cobbinah; Collins Sey; Linda Delali Fiasam; Ijeoma Amuche Chikwendu; Joseph Roger Arhin (Eng. Appl. Artif. Intell., 2024)

Attention-enriched deeper UNet (ADU-NET) for disease diagnosis in breast ultrasound and retina fundus images. - Chukwuebuka Joseph Ejiyi; Zhen Qin 002; Victor Kwaku Agbesi; Makuachukwu Bennedith Ejiyi; Ijeoma Amuche Chikwendu; Oluwatoyosi F. Bamisile; Favour Ezinne Onyekwere; Olusola Bamisile (Prog. Artif. Intell., 2024)

ATEDU-NET: An Attention-Embedded Deep Unet for multi-disease diagnosis in chest X-ray images, breast ultrasound, and retina fundus. - Chukwuebuka Joseph Ejiyi; Zhen Qin 002; Victor Kwaku Agbesi; Makuachukwu Bennedith Ejiyi; Ijeoma Amuche Chikwendu; Oluwatoyosi F. Bamisile; Favour Ezinne Onyekwere; Olusola O. Bamisile (Comput. Biol. Medicine, 2025)

Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet. - Chukwuebuka Joseph Ejiyi; Zhen Qin 002; Victor Kwaku Agbesi; Ding Yi; Abena A. Atwereboannah; Ijeoma Amuche Chikwendu; Oluwatoyosi F. Bamisile; Bakanina Kissanga Grace-Mercure; Olusola O. Bamisile (Comput. Biol. Medicine, 2025)

Learning-centered multi-modal federated learning complimented with filter rotation for clinical image diagnosis. - Isaac Adjei-Mensah; Qingxian Wang; Isaac Osei Agyemang; Adu Asare Baffour; Sophyani Banaamwini Yussif; Collins Sey; Linda Delali Fiasam; Ijeoma Amuche Chikwendu; Weidong Wang (Eng. Appl. Artif. Intell., 2025)