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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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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Healthcare Engineering Innovation Group (HEIG)
Seghier, M. (PI), Hadjileontiadis, L. (CoI), Khandoker, A. H. (CoI), Pappa, A.-M. (CoI), Pitsalidis, C. (CoI), Alshehhi, A. (CoI), Khalaf, K. (CoI), Corridon, P. (CoI), Hachem Al Galib, M. (CoI), Meribout, M. (CoI), Hamdan, H. (CoI), Lee, S. M. (CoI), Fonseca Domingues, M. D. F. (CoI), Maalej, N. (CoI), Jelinek, H. (CoI), El Rich, M. (CoI), Oueis, E. (CoI), Hughes, M. (CoI), Goonetilleke, R. (CoI), Vahdati, N. (CoI), Truong, V. (CoI) & Kohli, N. (CoI)
1/07/18 → 31/12/23
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
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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 -
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