Projects per year
Personal profile
Research interests
Neuroscience; Medicine; Psychology; Biochemistry
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Dive into the research topics where Mohamed Seghier is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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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KU-UAEU-2023-068 GenRare: An AI Assistant Tool for Rare Genetic Diseases: Early Diagnosis and Management
Hadjileontiadis, L. (CoI), Alshehhi, A. (PI) & Seghier, M. (CoI)
Project: Research
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CRBF-2025-016 [A. Alshehhi] Natnael Tumzghi Tsegai (Contract extension)
Seghier, M. (CoI) & Alshehhi, A. (PI)
Project: Research
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RIG-2023-012 Integrating artificial intelligence with photon-counting CT for improved diagnoses and disease management of crystal arthropathies
Raja, A. Y. (PI), Seghier, M. (CoI) & Maalej, N. (CoI)
1/09/23 → 28/02/26
Project: Research
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FSU-2022-006 [M. Seghier] - Explaining and predicting recovery after stroke
Seghier, M. (PI)
1/07/22 → 30/06/24
Project: Research
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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
3 Scopus citations -
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 Access2 Scopus citations -
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 -
TriGAN-SiaMT: A triple-segmentor adversarial network with bounding box priors for semi-supervised brain lesion segmentation
Alshurbaji, M., Assefa, M., Obeid, A., Seghier, M. L., Hassan, T., Taha, K. & Werghi, N., Feb 2026, In: Pattern Recognition Letters. 200, p. 37-43 7 p.Research output: Contribution to journal › Article › peer-review
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Voxel-wise deep learning segmentation of hydroxyapatite and iodine in spectral photon-counting CT: A quantitative phantom study
Francis, N., Seghier, M. L., Maalej, N. & Raja, A., Apr 2026, In: PLoS ONE. 21, 4 April, e0346825.Research output: Contribution to journal › Article › peer-review
Open Access