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  1. 821

    Deep learning based monocular visual-inertial odometry by Mahdi Abolfazli Esfahani

    Published 2021
    “…This combination can be used in many applications, from smart mobile phones to micro aerial vehicles. Traditional methods attempt to extract features from visual information, track them in consecutive frames, and tightly optimize the relation between feature points in consecutive camera frames with the secured IMU information to solve the problem. …”
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    Thesis-Doctor of Philosophy
  2. 822

    Self-learning shape recognition in medical images by Ma, Jingting

    Published 2019
    “…Experiments are conducted using two representative datasets, a set of 30 public CT kidneys and a set of 49 internal MRI ankle bones. Embedded into an existing segmentation framework, experimental results show that SSM built with the proposed RKPCA outperforms the state-of-the-art modeling techniques in terms of model quality and segmentation accuracy. …”
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    Thesis