Browsing by Subject Magnetic Resonance Imaging (MRI)
Showing results 1 to 11 of 11
| Issue Date | Title | Author(s) |
| 2024-11-08 | Derivation of Fredholm Integrals of the First Kind Based on Bloch NMR Flow Equation for Digital Molecular Magnetic Resonance Imaging | Genyi, Terfa; Awojoyogbe, Bamidele; Dada, Michael; Olarinoye, Oyeleke |
| 2024-11-08 | Derivation of Fredholm Integrals of the First Kind in terms of Analytical Solutions to Bloch Nuclear Magnetic Resonance (NMR) Flow Equation and Relaxometric Tissue Profiles | Genyi, Terfa; Awojoyogbe, Bamidele; Dada, Michael; Olarinoye, Oyeleke |
| 2026-04-20 | Development and Implementation of Physics-Informed Segresnetunet for Brain Tumor Segmentation Using BRATS2020 Dataset | Aaron, Aniebiet; Dada, Michael; Awojoyogbe, Bamidele; Udeme, Iniobong; Sanni, Henry; Iorumbur, Moses; Olasehinde, Emmanuel |
| 2026-04-20 | Development of Hybrid Classical–quantum Framework for Lossy Compression of 2D Magnetic Resonance Images using a Quantum Autoencoder (QAE) | Sanni, Henry; Dada, Michael; Awojoyogbe, Bamidele |
| 2025-02-07 | Development of Physics-Informed Neural for Computational Magnetic Resonance Imaging of Noradrenergic Neurons | Adejorin, Abel; Majebi, John; Dada, Michael; Udeme, Iniobong; Sanni, Henry; Awojoyogbe, Bamidele |
| 2026-04-20 | Development of Physics-informed nnU-Net for Glioblastoma Magnetic Resonance Image Segmentation | Musa, Emmanuel; Awojoyogbe, Bamidele; Dada, Michael; Sanni, Henry; Udeme, Iniobong; Onyedim, Victor |
| 2024-08-24 | Digital Molecular Magnetic Resonance Imaging | Awojoyogbe, Bamidele; Dada, Michael |
| 2013-11-30 | Flow Dynamics in Restricted Geometries: A Mathematical Concept Based on Bloch NMR Flow Equation and Boubaker Polynomial Expansion Scheme | Awojoyogbe, Bamidele; Dada, Michael; Boubaker, Karem; Adesola, Omoniyi Adewale |
| 2025-02-07 | Physics-informed Machine Learning Approach for Denoising Low Resolution Diffusion Magnetic Resonance Images | Udeme, Iniobong; Dada, Michael; Awojoyogbe, Bamidele |
| 2025-02-07 | Physics-informed Machine Learning for Segmentation of Low Resolution Diffusion Magnetic Resonance Images | Udeme, Iniobong |
| 2026-04-20 | Physics-informed UNETR: A Brain Tumor Segmentation Combining UNETR Architecture and Physics Constraints Using Brats2021 Dataset and Insights for Molecular Imaging | Dada, Michael; Awojoyogbe, Bamidele; Lawal, Samuel; Udeme, Iniobong; Sanni, Henry; Olasehinde, Emmanuel; Iorumbur, Moses; Akinyemi, Oluwatobi |
