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Computational Magnetic Resonance Imaging 2022/2023 /CoursesID:3299
- Most recent entry on 2023-01-24
Keywords:
Medical Imaging, MRI, Inverse Problems, Numerical Optimization, Machine Learning, Deep Learning
Lecturer
Prof. Dr. Florian Knoll
Organisational Unit
Department Artificial Intelligence in Biomedical Engineering
Recording type
Vorlesungsreihe
Via
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Language
English
Associated Clips
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1
Lecture 1: Fundamentals of Magnetic Resonance Imaging
Prof. Dr. Florian Knoll
2022-10-25
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01:29:12
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2
Lecture 2: Fourier Image Reconstruction Basics
Prof. Dr. Florian Knoll
2022-11-08
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01:26:46
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3
Lecture 3: Partial Fourier Imaging
Prof. Dr. Florian Knoll
2022-11-15
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01:15:21
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4
Lecture 4: Reconstruction of Non-Cartesian MRI data
Prof. Dr. Florian Knoll
2022-11-22
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01:30:38
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5
Lecture 5: Parallel Imaging I: Image-domain methods
Prof. Dr. Florian Knoll
2022-11-29
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01:20:17
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6
Lecture 6: Parallel Imaging II: k-space methods
Prof. Dr. Florian Knoll
2022-12-06
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01:36:40
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7
Lecture 7: Parallel Imaging III: Non-Cartesian Imaging and Iterative Reconstruction
Prof. Dr. Florian Knoll
2022-12-13
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01:35:58
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8
Lecture 8: Compressed Sensing
Prof. Dr. Florian Knoll
2022-12-20
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01:39:37
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9
Lecture 9: Machine learning in MRI and neural network architecture design
Prof. Dr. Florian Knoll
2023-01-17
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01:18:15
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10
Lecture 10: Machine learning for MR image reconstruction
Prof. Dr. Florian Knoll
2023-01-24
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01:35:05
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More courses from Prof. Dr. Florian Knoll
Medizintechnik II 2022
Prof. Dr. Florian Knoll
lecture
2022-07-26
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Medical Engineering II 2023
Prof. Dr. Florian Knoll
lecture
2023-04-28
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