Research output per year
Research output per year
Personal profile
Professional Information
Prof. Mohamed Seghier has over 20 years of experience in neuroimaging, brain mapping, and cognitive neuroscience. His aim is to study neurological and mental deficits with neuroimaging methods. He holds a PhD from Joseph Fourier University (France), did a postdoc at Geneva University Hospitals (Switzerland), and then joined the Wellcome Centre for Human Neuroimaging, University College London (UK), as Senior Research Fellow. He is currently at Khalifa University (UAE). He has extensive teaching experience and has served as Editor-in-Chief of the International Journal of Imaging Systems and Technology since 2018 and Handling Editor at Imaging Neuroscience since 2024.
Research interests
Functional MRI; Lesion-symptom mapping; Brain dynamics; Brain laterality; Cognitive neuroscience; Neuroimaging; AI; Post-stroke recovery
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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DUCore: Dual Uncertainty-Guided Consistency and Regional Contrastive Learning for Semi-supervised Medical Image Segmentation
Assefa, M., Naseer, M., Gedamu, K., Ganapathi, I. I., Ali, S. S., Seghier, M. L., Damiani, E. & Werghi, N., 2026, (Accepted/In press) In: IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Article › peer-review
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Explainable AI-driven graph-based neural networks for mucopolysaccharidoses diagnosis
Fadul, R., Tumzghi, N., Seghier, M., Al-Jasmi, F. & AlShehhi, A., Dec 2026, In: BioData Mining. 19, 1, 13.Research output: Contribution to journal › Article › peer-review
Open Access -
MRI acute/sub-acute ischemic stroke segmentation with deep learning: A comprehensive review
Alshurbaji, M., Assefa, M., Boumaraf, S., Seghier, M. L., Hassan, T., Naseer, M., Taha, K. & Werghi, N., 2026, (Accepted/In press) International Review of Cell and Molecular Biology. Elsevier Inc., (International Review of Cell and Molecular Biology).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Separating the forest from the palm trees: Individual variation in a presurgical language mapping task
Voets, N. L., Parker Jones, O., Seghier, M. L. & Plaha, P., 2026, In: NeuroImage: Clinical. 49, 103943.Research output: Contribution to journal › Article › peer-review
Open Access -
VarCoNet: A Variability-Aware Self-Supervised Framework for Functional Connectome Extraction From Resting-State fMRI
Lamprou, C., Alshehhi, A., Hadjileontiadis, L. J. & Seghier, M. L., Mar 2026, In: Human Brain Mapping. 47, 4, e70469.Research output: Contribution to journal › Article › peer-review
Open Access