Deep Transfer Learning for Brain Magnetic Resonance Image Multi-class Classification. - Yusuf Brima; Mossadek Hossain Kamal Tushar; Upama Kabir; Tariqul Islam (CoRR, 2021)

What do Deep Neural Networks Learn in Medical Images? - Yusuf Brima; Marcellin Atemkeng (CoRR, 2022)

Learning Disentangled Speech Representations. - Yusuf Brima; Ulf Krumnack; Simone Pika; Gunther Heidemann (CoRR, 2023)

Learning Disentangled Audio Representations through Controlled Synthesis. - Yusuf Brima; Ulf Krumnack; Simone Pika; Gunther Heidemann (Tiny Papers @ ICLR, 2024)

Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis. - Yusuf Brima; Marcellin Atemkeng (BioData Min., 2024)

Advancing Low-Rank and Local Low-Rank Matrix Approximation in Medical Imaging: A Systematic Literature Review and Future Directions. - Sisipho Hamlomo; Marcellin Atemkeng; Yusuf Brima; Chuneeta Nunhokee; Jeremy Baxter (CoRR, 2024)

Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction. - Yusuf Brima; Ulf Krumnack; Simone Pika; Gunther Heidemann (Inf., 2024)

Bridging the Gap: Exploring Interpretability in Deep Learning Models for Brain Tumor Detection and Diagnosis from MRI Images. - Wandile Nhlapho; Marcellin Atemkeng; Yusuf Brima; Jean Claude Ndogmo (Inf., 2024)

A systematic review of low-rank and local low-rank matrix approximation in big data medical imaging. - Sisipho Hamlomo; Marcellin Atemkeng; Yusuf Brima; Chuneeta Nunhokee; Jeremy Baxter (Neural Comput. Appl., 2025)