9 papers
Causal Transfer in Medical Image Analysis
Mohammed M. Abdelsamea, Daniel Tweneboah Anyimadu, Tasneem Selim +4
Medical imaging models frequently fail when deployed across hospitals, scanners, populations, or imaging protocols due to domain shift, limiting their clinical reliability. While t…
Low-Field Magnetic Resonance Image Enhancement using Undersampled k-Space
Daniel Tweneboah Anyimadu, Mohammed Abdalla, Mohammed M. Abdelsamea +1
Low-field magnetic resonance imaging (MRI) offers a cost-effective alternative for medical imaging in resource-limited settings. However, its widespread adoption is hindered by two…
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
Low-field magnetic resonance imaging (MRI) offers affordable access to diagnostic imaging but faces challenges such as prolonged acquisition times and reduced image quality. Althou…
DeepHistoViT: An Interpretable Vision Transformer Framework for Histopathological Cancer Classification
Ravi Mosalpuri, Mohammed Abdelsamea, Ahmed Karam Eldaly
Histopathology remains the gold standard for cancer diagnosis because it provides detailed cellular-level assessment of tissue morphology. However, manual histopathological examina…
Direct low-field MRI super-resolution using undersampled k-space
Daniel Tweneboah Anyimadu, Mohammed M. Abdelsamea, Ahmed Karam Eldaly
Low-field magnetic resonance imaging (MRI) provides affordable access to diagnostic imaging but suffers from prolonged acquisition and limited image quality. Accelerated imaging ca…
iPac: Incorporating Intra-image Patch Context into Graph Neural Networks for Medical Image Classification
Usama Zidan, Mohamed Gaber, Mohammed M. Abdelsamea
Graph neural networks have emerged as a promising paradigm for image processing, yet their performance in image classification tasks is hindered by a limited consideration of the u…