Jens Wetzl

According to our database, Jens Wetzl authored at least 16 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data Consistent Variational Networks for Zero-shot Self-supervised MR Reconstruction.

Florian Fürnrohr, Jens Wetzl, Marc Vornehm, Daniel Giese, Florian Knoll

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Lazy Luna: Extendible software for multilevel reader comparison in cardiovascular magnetic resonance imaging.

Thomas Hadler, Clemens Ammann, Jens Wetzl, Darian Viezzer, Jan Gröschel, Maximilian Fenski, Endri Abazi, Steffen Lange, Anja Hennemuth, Jeanette Schulz-Menger

Comput. Methods Programs Biomed., August, 2023

2021

Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging.

Elisabeth Hoppe, Jens Wetzl, Seung Su Yoon, Mario Bacher, Philipp Roser, Bernhard Stimpel, Alexander Preuhs, Andreas Maier

IEEE Trans. Medical Imaging, 2021

Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery.

Seung Su Yoon, Elisabeth Preuhs, Michaela Schmidt, Christoph Forman, Teodora Chitiboi, Puneet Sharma, Juliano Lara Fernandes, Christoph Tillmanns, Jens Wetzl, Andreas Maier

CoRR, 2021

2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging.

Elisabeth Hoppe, Jens Wetzl, Philipp Roser, Lina Felsner, Alexander Preuhs, Andreas Maier

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging.

Elisabeth Hoppe, Jens Wetzl, Philipp Roser, Lina Felsner, Alexander Preuhs, Andreas K. Maier

CoRR, 2020

2018

Magnetic Resonance Imaging.

Felix Lugauer, Jens Wetzl

Proceedings of the Medical Imaging Systems - An Introductory Guide, 2018

Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography.

Bernhard Stimpel, Jens Wetzl, Christoph Forman, Michaela Schmidt, Andreas K. Maier, Mathias Unberath

J. Imaging, 2018

2017

Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series.

Elisabeth Hoppe, Gregor Körzdörfer, Tobias Würfl, Jens Wetzl, Felix Lugauer, Josef Pfeuffer, Andreas K. Maier

Proceedings of the German Medical Data Sciences: Visions and Bridges, 2017

2016

Joint Estimation of Cardiac Motion and T_1^* Maps for Magnetic Resonance Late Gadolinium Enhancement Imaging.

Jens Wetzl, Aurélien F. Stalder, Michaela Schmidt, Yigit H. Akgök, Christoph Tillmanns, Felix Lugauer, Christoph Forman, Joachim Hornegger, Andreas K. Maier

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Robust Spectral Denoising for Water-Fat Separation in Magnetic Resonance Imaging.

Felix Lugauer, Dominik Nickel, Jens Wetzl, Stephan A. R. Kannengiesser, Andreas K. Maier, Joachim Hornegger

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Sharp as a Tack.

Oliver Taubmann, Jens Wetzl, Günter Lauritsch, Andreas K. Maier, Joachim Hornegger

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014

Fast Interpolation of Dense Motion Fields from Synthetic Phantoms.

Andreas K. Maier, Oliver Taubmann, Jens Wetzl, Jakob Wasza, Christoph Forman, Peter Fischer, Joachim Hornegger, Rebecca Fahrig

Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014

2013

GPU-Accelerated Time-of-Flight Super-Resolution for Image-Guided Surgery.

Jens Wetzl, Oliver Taubmann, Sven Haase, Thomas Köhler, Martin Kraus, Joachim Hornegger

Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013

2011

Multi-stage Learning for Robust Lung Segmentation in Challenging CT Volumes.

Michal Sofka, Jens Wetzl, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Automatic Multi-organ Segmentation Using Learning-Based Segmentation and Level Set Optimization.

Timo Kohlberger, Michal Sofka, Jingdan Zhang, Neil Birkbeck, Jens Wetzl, Jens N. Kaftan, Jérôme Declerck, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011