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    Anatomical Surface Modeling Via Harmonic Fields

    , M.Sc. Thesis Sharif University of Technology Gharechorloo, Shayli (Author) ; Fatemi Zadeh, Emad (Supervisor)
    Abstract
    Advancements in medical imaging, especially 3D imaging, leads to progressive growth of image processing for diagnosis, studying behavior of organs and development of disease. Therefore many researches have been done on segmentation, registration, modeling and 3D image refinement. In this thesis, we want to parameterize anatomic surfaces, using volume parameterization model.
    Hippocampus is one of the most important components in brain that plays significant role in learning, memory, stress management and etc. There is been a theory that, shape and structure of hippocampus may change in diseases like Alzheimer, schizophrenia, chronic depression and epilepsy.
    The aim of this research is... 

    Artificial Intelligence-Based Analysis of Geometric Uncertainties on a Single-Stage Axial Compressor Performance

    , M.Sc. Thesis Sharif University of Technology Kalabi, Mehrab (Author) ; Farahani, Mohammad (Supervisor)
    Abstract
    In this study, the effect of geometric uncertainties on the performance of a single-stage transonic axial compressor is investigated. As one of the main components of an aircraft engine, the compressor increases the internal energy of the flow by raising the total pressure. Due to the adverse pressure gradient in compressors, examining this issue is of greater importance compared to other engine components. Deviations of geometric parameters from their nominal values can lead to detrimental phenomena such as flow separation, surge, and choking. Therefore, compressor performance under geometric uncertainties is analyzed at the design point, near choking, and near instability conditions. By...