M. Atemkeng

FedFarm: Privacy-Preserving Federated Learning for Cassava Disease Diagnosis on Smallholder Farmers' Smartphones

Smallholder cassava farmers in sub-Saharan Africa face devastating crop losses from leaf diseases such as Cassava Mosaic Disease (CMD), Cassava Brown Streak Disease (CBSD), Cassava Bacterial Blight (CBB), and Cassava Green Mite (CGM), yet access to expert plant pathologists in rural areas remains critically limited. We...

A Multimodal Explainable Deep Learning Framework for Alzheimer's Disease Diagnosis using 3D Magnetic Resonance Imaging and Clinical Data

Dementia is a major and growing global health burden, with Alzheimer's disease (AD) accounting for most cases. Timely and accurate diagnosis is central to managing this burden and increasingly depends on integrating complementary clinical and imaging information. Multimodal deep learning can combine these modalities fo...

Graph Theory, Graph Neural Networks, and Reinforcement Learning in marine ecology: A systematic review of methodologies, theoretical rigour, and future directions

Transformers for 3D medical image analysis: a systematic review of architectural innovations, performance, and clinical applications

This systematic review systematically evaluates 138 peer-reviewed studies published between January 2017 and December 2025 using the PRISMA 2020 framework to reveal a clear dominance of hybrid CNN–Transformer architectures, with MRI representing the most extensively studied modality.