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Christopher Syben

Showing results (1-10 of 11) with videos related to

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Zeitschrift Fur Medizinische Physik|January 29, 2019
A gentle introduction to deep learning in medical image processingAndreas Maier, Christopher Syben, Tobias Lasser, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
Known Operator Learning Enables Constrained Projection Geometry Conversion: Parallel to Cone-Beam for Hybrid MR/X-Ray ImagingChristopher Syben, Bernhard Stimpel, Philipp Roser, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 29, 2024
The Artificial Neural Twin - Process optimization and continual learning in distributed process chainsJohannes Emmert, Ronald Mendez, Houman Mirzaalian Dastjerdi, et al.
Medical Image Analysis|March 21, 2021
Cephalogram synthesis and landmark detection in dental cone-beam CT systemsYixing Huang, Fuxin Fan, Christopher Syben, et al.
IEEE Transactions on Medical Imaging|November 26, 2019
Multi-Modal Deep Guided Filtering for Comprehensible Medical Image ProcessingBernhard Stimpel, Christopher Syben, Franziska Schirrmacher, et al.
Scientific Reports|September 1, 2022
Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray dataKai Packhäuser, Sebastian Gündel, Nicolas Münster, et al.
Medical Physics|August 8, 2019
Technical Note: PYRO-NN: Python reconstruction operators in neural networksChristopher Syben, Markus Michen, Bernhard Stimpel, et al.
Scientific Reports|December 13, 2019
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance ImagingBernhard Stimpel, Christopher Syben, Tobias Würfl, et al.
Studies in Health Technology and Informatics|September 5, 2019
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural NetworksElisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, et al.
IEEE Transactions on Medical Imaging|April 21, 2021
X-Ray Scatter Estimation Using Deep SplinesPhilipp Roser, Annette Birkhold, Alexander Preuhs, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Zeitschrift Fur Medizinische Physik|January 29, 2019
A gentle introduction to deep learning in medical image processingAndreas Maier, Christopher Syben, Tobias Lasser, et al.
IEEE Transactions on Medical Imaging|August 4, 2020
Known Operator Learning Enables Constrained Projection Geometry Conversion: Parallel to Cone-Beam for Hybrid MR/X-Ray ImagingChristopher Syben, Bernhard Stimpel, Philipp Roser, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 29, 2024
The Artificial Neural Twin - Process optimization and continual learning in distributed process chainsJohannes Emmert, Ronald Mendez, Houman Mirzaalian Dastjerdi, et al.
Medical Image Analysis|March 21, 2021
Cephalogram synthesis and landmark detection in dental cone-beam CT systemsYixing Huang, Fuxin Fan, Christopher Syben, et al.
IEEE Transactions on Medical Imaging|November 26, 2019
Multi-Modal Deep Guided Filtering for Comprehensible Medical Image ProcessingBernhard Stimpel, Christopher Syben, Franziska Schirrmacher, et al.
Scientific Reports|September 1, 2022
Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray dataKai Packhäuser, Sebastian Gündel, Nicolas Münster, et al.
Medical Physics|August 8, 2019
Technical Note: PYRO-NN: Python reconstruction operators in neural networksChristopher Syben, Markus Michen, Bernhard Stimpel, et al.
Scientific Reports|December 13, 2019
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance ImagingBernhard Stimpel, Christopher Syben, Tobias Würfl, et al.
Studies in Health Technology and Informatics|September 5, 2019
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural NetworksElisabeth Hoppe, Florian Thamm, Gregor Körzdörfer, et al.
IEEE Transactions on Medical Imaging|April 21, 2021
X-Ray Scatter Estimation Using Deep SplinesPhilipp Roser, Annette Birkhold, Alexander Preuhs, et al.
Pageof 2