Computational Magnetic Resonance Imaging 2022/2023 /KursID:3299
- Letzter Beitrag vom 2023-01-24
Schlüsselworte: Medical Imaging, MRI, Inverse Problems, Numerical Optimization, Machine Learning, Deep Learning

Einrichtung

Department Artificial Intelligence in Biomedical Engineering

Aufzeichnungsart

Vorlesungsreihe

Zugang

Frei

Sprache

Zugehörige Einzelbeiträge

Folge
Titel
Lehrende(r)
Aktualisiert
Zugang
Dauer
Medien
1
Lecture 1: Fundamentals of Magnetic Resonance Imaging
Prof. Dr. Florian Knoll
2022-10-25
Frei
01:29:12
2
Lecture 2: Fourier Image Reconstruction Basics
Prof. Dr. Florian Knoll
2022-11-08
Frei
01:26:46
3
Lecture 3: Partial Fourier Imaging
Prof. Dr. Florian Knoll
2022-11-15
Frei
01:15:21
4
Lecture 4: Reconstruction of Non-Cartesian MRI data
Prof. Dr. Florian Knoll
2022-11-22
Frei
01:30:38
5
Lecture 5: Parallel Imaging I: Image-domain methods
Prof. Dr. Florian Knoll
2022-11-29
Frei
01:20:17
6
Lecture 6: Parallel Imaging II: k-space methods
Prof. Dr. Florian Knoll
2022-12-06
Frei
01:36:40
7
Lecture 7: Parallel Imaging III: Non-Cartesian Imaging and Iterative Reconstruction
Prof. Dr. Florian Knoll
2022-12-13
Frei
01:35:58
8
Lecture 8: Compressed Sensing
Prof. Dr. Florian Knoll
2022-12-20
Frei
01:39:37
9
Lecture 9: Machine learning in MRI and neural network architecture design
Prof. Dr. Florian Knoll
2023-01-17
Frei
01:18:15
10
Lecture 10: Machine learning for MR image reconstruction
Prof. Dr. Florian Knoll
2023-01-24
Frei
01:35:05

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