Projects per year
Personal profile
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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Collaborations and top research areas from the last five years
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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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Artificial Intelligence for Alzheimer's Disease: Early-Stage Detection, Risk Factors, and Mechanism of Action.
Alshehhi, A. (PI)
1/07/21 → 30/06/23
Project: Research
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Healthcare Engineering Innovation Group (HEIG)
Seghier, M. (PI), Hadjileontiadis, L. (CoI), Khandoker, A. (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), DOMINGUES, M. (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. K. (CoI) & Kohli, N. (CoI)
1/07/18 → 31/12/23
Project: Research
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A Methodology for Quantifying Neurological Adaptation to Physiotherapy in ACL-Injured Patients through Muscle Activity and Brain Connectivity Analysis
Katmah, R., Alshehhi, A., Kosaji, D. J., Al-Rahmani, N., Albizreh, A., Hulleck, A. A. V. A. & Khalaf, K., 6 Feb 2025, ICBBE 2024 - Proceedings of 2024 11th International Conference on Biomedical and Bioinformatics Engineering. p. 157-161 5 p. (ICBBE 2024 - Proceedings of 2024 11th International Conference on Biomedical and Bioinformatics Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer’s disease
Jemimah, S., Abuhantash, F. & AlShehhi, A., Apr 2025, In: PLoS ONE. 20, 4 April, e0320360.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep Learning Models to Predict Hip Joint Kinetics From Kinematics During Gait
Hulleck, A. A. V. A., Alshehhi, A., Abdullah, M., Katmah, R., Khalaf, K. & El-Rich, M., 6 Feb 2025, ICBBE 2024 - Proceedings of 2024 11th International Conference on Biomedical and Bioinformatics Engineering. p. 198-203 6 p. (ICBBE 2024 - Proceedings of 2024 11th International Conference on Biomedical and Bioinformatics Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Improved Brain Disorder Classification in RS-FMRI via Inter-Individual Variability Characterization: A Self-Supervised Learning Approach
Lamprou, C., Hadjileontiadis, L. J., Alshehhi, A. & Seghier, M. L., 2025, ISBI 2025 - 2025 IEEE 22nd International Symposium on Biomedical Imaging, Proceedings. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Robust fMRI time-varying functional connectivity analysis using multivariate swarm decomposition
Lamprou, C., Apostolidis, G., Alshehhi, A., Hadjileontiadis, L. J. & Seghier, M. L., 14 Aug 2025, In: Neurocomputing. 642, 130404.Research output: Contribution to journal › Article › peer-review
1 Scopus citations