Laksari Lab GitHub:
For current lab members:
Vascular Segmentation
Link to publications:
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A. Deshpande, J. Elliott, B. Jiang, P. Tahsili Fahadan, C. Kidwell, M. Wintermark, K. Laksari (2023), “End to end stroke triage using cerebrovascular morphology and machine learning”, Frontiers in Neurology. [link]
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A. Deshpande, J. Elliott, N. Kari, B. Jiang, P. Michel, N. Toosizadeh, P. Tahsili Fahadan, C. Kidwell, M. Wintermark, K. Laksari, (2022), “Novel imaging markers for altered cerebrovascular morphology in aging, stroke, and Alzheimer's disease”, Journal of Neuroimaging, https://doi.org/10.1111/jon.13023. [link]
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A. Deshpande, N. Jamilpour, B. Jiang, C. Kidwell, M. Wintermark, K. Laksari, (2021), “Automatic Segmentation, Feature Extraction and Comparison of Healthy and Stroke Cerebral Vasculature”, NeuroImage: Clinical, 102573. [link]
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Link to codes on GitHub:
Physics-informed UNets for discovering hidden elasticity in heterogeneous materials
Link to publications:
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A. Kamali, K. Laksari (2024), "Physics-informed UNets for discovering hidden elasticity in heterogeneous materials", Journal of the Mechanical Behavior of Biomedical Materials 150, 106228. [link]
Link to codes on GitHub:
Elasticity Imaging Using Physics-informed Neural Networks (PINN)
Link to publications:
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A. Kamali, M. Sarabian, K. Laksari, (2022), “Elasticity Imaging Using Physics-informed Neural Networks: Spatial Discovery of Elastic Modulus and Poisson's Ratio”, Acta Biomaterialia. [link]
Link to codes on GitHub:
Head impact kinematics emulator
Link to publications:
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P. Arrue, N. Toosizadeh, H. Babaee, K. Laksari, (2020), “Low-rank representation of head impact kinematics: A data-driven emulator”, Frontiers in Bioengineering and Biotechnology. [link]
Link to codes on GitHub: