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Christopher Syben
List of publications:
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Lehrstuhl für Informatik 5 (Mustererkennung)
Lehrstuhl für Biochemie
Publications
(43)
Activities
(2)
Types of publications
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Journal article
Journal article
Book chapter / Article in edited volumes
Book chapter / Article in edited volumes
Authored book
Authored book
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Translation
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Thesis
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Edited Volume
Conference contribution
Conference contribution
Other publication type
Other publication type
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Unpublished / Preprint
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RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting (2019)
Hoppe E, Thamm F, Körzdörfer G, Syben-Leisner C, Schirrmacher F, Nittka M, Pfeuffer J, et al.
Conference contribution
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks (2019)
Hoppe E, Thamm F, Körzdörfer G, Syben-Leisner C, Schirrmacher F, Nittka M, Pfeuffer J, et al.
Book chapter / Article in edited volumes
Learning with Known Operators reduces Maximum Training Error Bounds. (2019)
Maier A, Syben-Leisner C, Stimpel B, Würfl T, Hoffmann M, Schebesch F, Fu W, et al.
Journal article
A gentle introduction to deep learning in medical image processing [Eine sanfte Einführung in Tiefes Lernen in der Medizinischen Bildverarbeitung] (2019)
Maier A, Syben-Leisner C, Lasser T, Riess C
Journal article, Review article
Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing Supplementary Material (2019)
Stimpel B, Syben-Leisner C, Schirrmacher F, Hölter P, Dörfler A, Maier A
Journal article
Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion (2019)
Syben-Leisner C, Stimpel B, Lommen J, Würfl T, Dörfler A, Maier A
Conference contribution, Original article
Projection image-to-image translation in hybrid x-ray/MR imaging (2019)
Stimpel B, Syben-Leisner C, Würfl T, Breininger K, Lommen J, Dörfler A, Maier A
Conference contribution
Multi-Modal Super-Resolution with Deep Guided Filtering (2019)
Stimpel B, Syben-Leisner C, Schirrmacher F, Dörfler A, Maier A, Hölter P
Conference contribution
Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency (2019)
Preuhs A, Ravikumar N, Manhart M, Stimpel B, Hoppe E, Syben-Leisner C, Kowarschik M, Maier A
Conference contribution
User Loss A Forced-Choice-Inspired Approach to Train Neural Networks Directly by User Interaction (2019)
Zarei S, Stimpel B, Syben-Leisner C, Maier A
Conference contribution
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