240 citations · 274 across the 20 of their papers we have counts for
4 papers · 1 filter
A Multimodal Explainable Deep Learning Framework for Alzheimer's Disease Diagnosis using 3D Magnetic Resonance Imaging and Clinical Data
Yusuf Brima, Marcellin Atemkeng, Lakshmana Rao Namamula +1
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…
Bridging visual saliency and large language models for explainable deep learning in medical imaging
Paul Valery Nguezet, Elie Tagne Fute, Yusuf Brima +2
The opaque nature of deep learning models remains a significant barrier to their clinical adoption in medical imaging. This paper presents a multimodal explainability framework tha…
Hierarchical Spatio-Channel Clustering for Efficient Model Compression in Medical Image Analysis
Sisipho Hamlomo, Marcellin Atemkeng, Habte Tadesse Likassa +5
Convolutional neural networks (CNNs) have become increasingly difficult to deploy in resource-constrained environments due to their large memory and computational requirements. Alt…
Creating awareness about security and safety on highways to mitigate wildlife-vehicle collisions by detecting and recognizing wildlife fences using deep learning and drone technology
Irene Nandutu, Marcellin Atemkeng, Patrice Okouma +3
In South Africa, it is a common practice for people to leave their vehicles beside the road when traveling long distances for a short comfort break. This practice might increase hu…