Transfer learning for the detection and diagnosis of types of pneumonia including pneumonia induced by COVID-19 from chest X-ray images Y Brima, M Atemkeng, S Tankio Djiokap, J Ebiele, F Tchakounté Diagnostics 11 (8), 1480, 2021 | 29 | 2021 |
Deep transfer learning for brain magnetic resonance image multi-class classification Y Brima, MHK Tushar, U Kabir, T Islam arXiv preprint arXiv:2106.07333, 2021 | 5 | 2021 |
Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images Y Brima, M Atemkeng arXiv preprint arXiv:2208.00953, 2023 | 2 | 2023 |
What do Deep Neural Networks Learn in Medical Images? Y Brima, M Atemkeng arXiv preprint arXiv:2208.00953, 2022 | 2 | 2022 |
Bridging the Gap: Exploring Interpretability in Deep Learning Models for Brain Tumor Detection and Diagnosis from MRI Images W Nhlapho, M Atemkeng, Y Brima, JC Ndogmo Information 15 (4), 182, 2024 | 1 | 2024 |
Advancing Low-Rank and Local Low-Rank Matrix Approximation in Medical Imaging: A Systematic Literature Review and Future Directions S Hamlomo, M Atemkeng, Y Brima, C Nunhokee, J Baxter arXiv preprint arXiv:2402.14045, 2024 | 1 | 2024 |
Learning Disentangled Audio Representations through Controlled Synthesis Y Brima, U Krumnack, S Pika, G Heidemann arXiv preprint arXiv:2402.10547, 2024 | 1 | 2024 |
Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis Y Brima, M Atemkeng BioData Mining 17 (1), 1-33, 2024 | | 2024 |
Bridging the Gap: Exploring Interpretability in Deep Learning Models for Brain Tumor Classification from MRI Images W Nhlapho, M Atemkeng, Y Brima, JC Ndogmo Preprints, 2024 | | 2024 |
Understanding Self-Supervised Learning of Speech Representation via Invariance and Redundancy Reduction Y Brima, U Krumnack, S Pika, G Heidemann Information 15 (2), 114, 2024 | | 2024 |
Learning Disentangled Speech Representations Y Brima, U Krumnack, S Pika, G Heidemann arXiv preprint arXiv:2311.03389, 2023 | | 2023 |
A Mathematical Framework for Understanding Recognition Systems Y Brima bioRxiv, 2023.06. 08.544240, 2023 | | 2023 |
Self-Supervised Learning of Speech Representation via Redundancy Reduction Y Brima Gesellschaft für Informatik eV, 2023 | | 2023 |
Individual Recognition in Wild Chimpanzees and Beyond: Supervised Representation Learning Y Brima, L Southern, U Krumnack, G Heidemann, S Pika Available at SSRN 4520570, 2023 | | 2023 |
A Mathematical Framework for Understanding Biological Recognition Systems Y Brima | | 2023 |