Khadijah Mohammed
Interests
Primary interests
- Artificial intelligence in healthcare
- Machine learning and deep learning
- Medical image analysis
- 3D image segmentation
- Predictive and longitudinal modelling
- Explainable and interpretable AI
Application focus
- Digital twins for healthcare
- Clinical decision support systems
Biography
My research interests lie in artificial intelligence for healthcare, with a current focus on deep learning for medical imaging, including 3D segmentation, predictive modelling, and explainable AI.
Selected Publications
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When Voxels Are Not Equal: Spacing−Driven Metric Bias and Metric−Uncertainty Decoupling in Segmentation
Khadijah Mohammed and Irina Voiculescu
In UNSURE 2026: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging. 29th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026). Springer Nature. September, 2026.
Details about When Voxels Are Not Equal: Spacing−Driven Metric Bias and Metric−Uncertainty Decoupling in Segmentation | BibTeX data for When Voxels Are Not Equal: Spacing−Driven Metric Bias and Metric−Uncertainty Decoupling in Segmentation | Link to When Voxels Are Not Equal: Spacing−Driven Metric Bias and Metric−Uncertainty Decoupling in Segmentation
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Structure−Focused Neurodegeneration CNN for Mod− elling and Classification of Alzheimer’s Disease.
K. Mohammed. S. Odimayo C. Olisah
2024.
Details about Structure−Focused Neurodegeneration CNN for Mod− elling and Classification of Alzheimer’s Disease. | BibTeX data for Structure−Focused Neurodegeneration CNN for Mod− elling and Classification of Alzheimer’s Disease.
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AI Challenges and Future Prospects of XAI in Major Fields: A Case Study of Nigeria.
A. Shehu. K. Mohammed
2023.
Details about AI Challenges and Future Prospects of XAI in Major Fields: A Case Study of Nigeria. | BibTeX data for AI Challenges and Future Prospects of XAI in Major Fields: A Case Study of Nigeria.