Yusuf Brima

According to our database, Yusuf Brima authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

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., June, 2025

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., April, 2024

Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction.

Yusuf Brima, Ulf Krumnack, Simone Pika, Gunther Heidemann

Inf., February, 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

Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis.

Yusuf Brima, Marcellin Atemkeng

BioData Min., 2024

Learning Disentangled Audio Representations through Controlled Synthesis.

Yusuf Brima, Ulf Krumnack, Simone Pika, Gunther Heidemann

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

Learning Disentangled Speech Representations.

Yusuf Brima, Ulf Krumnack, Simone Pika, Gunther Heidemann

CoRR, 2023

2022

What do Deep Neural Networks Learn in Medical Images?

Yusuf Brima, Marcellin Atemkeng

CoRR, 2022

2021

Deep Transfer Learning for Brain Magnetic Resonance Image Multi-class Classification.

Yusuf Brima, Mossadek Hossain Kamal Tushar, Upama Kabir, Tariqul Islam

CoRR, 2021