Christopher Syben



close-button

Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

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
1 2 3 4 5