Daniel Tweneboah Anyimadu

According to our database, Daniel Tweneboah Anyimadu authored at least 7 papers between 2024 and 2026.

Collaborative distances:

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

2026

Causal Transfer in Medical Image Analysis.

Mohammed M. Abdelsamea, Daniel Tweneboah Anyimadu, Tasneem Selim, Saif Alzubi, Lei Zhang, Ahmed Karam Eldaly, Xujiong Ye

CoRR, March, 2026

Low-Field Magnetic Resonance Image Enhancement using Undersampled k-Space.

Daniel Tweneboah Anyimadu, Mohammed Abdalla, Mohammed M. Abdelsamea, Ahmed Karam Eldaly

CoRR, March, 2026

Low-Field Magnetic Resonance Image Quality Enhancement using Undersampled k-Space and Out-of-Distribution Generalisation.

Daniel Tweneboah Anyimadu, Mohammed M. Abdelsamea, Ahmed Karam Eldaly

CoRR, March, 2026

Direct Low-Field MRI Super-Resolution Using Undersampled K-Space.

Daniel Tweneboah Anyimadu, Mohammed M. Abdelsamea, Ahmed Karam Eldaly

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification.

Daniel Tweneboah Anyimadu, Taofik Ahmed Suleiman, Mohammad Imran Hossain

CoRR, February, 2025

2024

Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm.

Taofik Ahmed Suleiman, Daniel Tweneboah Anyimadu, Andrew Dwi Permana, Hsham Abdalgny Abdalwhab Ngim, Alessandra Scotto di Freca

Vis. Comput. Ind. Biomed. Art, December, 2024

Comparative Study of Probabilistic Atlas and Deep Learning Approaches for Automatic Brain Tissue Segmentation from MRI Using N4 Bias Field Correction and Anisotropic Diffusion Pre-processing Techniques.

Mohammad Imran Hossain, Muhammad Zain Amin, Daniel Tweneboah Anyimadu, Taofik Ahmed Suleiman

CoRR, 2024