Computational Magnetic Resonance Imaging [SerienID : 3299]
Medical Imaging, MRI, Inverse Problems, Numerical Optimization, Machine Learning, Deep Learning

Semester

Wintersemester 2022/2023

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aktualisiert

2022-10-25 12:01:31

Abonnements

29

  • # 1
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    Lecture 1: Fundamentals of Magnetic Resonance Imaging
    Prof. Dr. Florian Knoll
    2022-10-25 Wintersemester 2022/2023
  • # 2
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    Lecture 2: Fourier Image Reconstruction Basics
    Prof. Dr. Florian Knoll
    2022-11-08 Wintersemester 2022/2023
  • # 3
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    Lecture 3: Partial Fourier Imaging
    Prof. Dr. Florian Knoll
    2022-11-15 Wintersemester 2022/2023
  • # 4
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    Lecture 4: Reconstruction of Non-Cartesian MRI data
    Prof. Dr. Florian Knoll
    2022-11-22 Wintersemester 2022/2023
  • # 5
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    Lecture 5: Parallel Imaging I: Image-domain methods
    Prof. Dr. Florian Knoll
    2022-11-29 Wintersemester 2022/2023
  • # 6
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    Lecture 6: Parallel Imaging II: k-space methods
    Prof. Dr. Florian Knoll
    2022-12-06 Wintersemester 2022/2023
  • # 7
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    Lecture 7: Parallel Imaging III: Non-Cartesian Imaging and Iterative Reconstruction
    Prof. Dr. Florian Knoll
    2022-12-13 Wintersemester 2022/2023
  • # 8
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    Lecture 8: Compressed Sensing
    Prof. Dr. Florian Knoll
    2022-12-20 Wintersemester 2022/2023
  • # 9
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    Lecture 9: Machine learning in MRI and neural network architecture design
    Prof. Dr. Florian Knoll
    2023-01-17 Wintersemester 2022/2023
  • # 10
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    Lecture 10: Machine learning for MR image reconstruction
    Prof. Dr. Florian Knoll
    2023-01-24 Wintersemester 2022/2023