Computational Magnetic Resonance Imaging [SerienID : 3299]
Medical Imaging, MRI, Inverse Problems, Numerical Optimization, Machine Learning, Deep Learning
Wintersemester 2022/2023
Prof. Dr. Florian Knoll
Offener Zugang
2025-09-29 08:47:54
19 Abonnements
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1Lecture 1: Fundamentals of Magnetic Resonance ImagingProf. Dr. Florian Knoll2022-10-25 Wintersemester 2022/2023Offener Zugang
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2Lecture 2: Fourier Image Reconstruction BasicsProf. Dr. Florian Knoll2022-11-08 Wintersemester 2022/2023Offener Zugang
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3Lecture 3: Partial Fourier ImagingProf. Dr. Florian Knoll2022-11-15 Wintersemester 2022/2023Offener Zugang
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4Lecture 4: Reconstruction of Non-Cartesian MRI dataProf. Dr. Florian Knoll2022-11-22 Wintersemester 2022/2023Offener Zugang
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5Lecture 5: Parallel Imaging I: Image-domain methodsProf. Dr. Florian Knoll2022-11-29 Wintersemester 2022/2023Offener Zugang
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6Lecture 6: Parallel Imaging II: k-space methodsProf. Dr. Florian Knoll2022-12-06 Wintersemester 2022/2023Offener Zugang
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7Lecture 7: Parallel Imaging III: Non-Cartesian Imaging and Iterative ReconstructionProf. Dr. Florian Knoll2022-12-13 Wintersemester 2022/2023Offener Zugang
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8Lecture 8: Compressed SensingProf. Dr. Florian Knoll2022-12-20 Wintersemester 2022/2023Offener Zugang
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9Lecture 9: Machine learning in MRI and neural network architecture designProf. Dr. Florian Knoll2023-01-17 Wintersemester 2022/2023Offener Zugang
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10Lecture 10: Machine learning for MR image reconstructionProf. Dr. Florian Knoll2023-01-24 Wintersemester 2022/2023Offener Zugang
