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08/04/2023
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction
MRI reconstruction techniques based on deep learning have led to unprece...
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07/24/2023
Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling
In dynamic Magnetic Resonance Imaging (MRI), k-space is typically unders...
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02/05/2023
Reconstruction-driven motion estimation for motion-compensated MR CINE imaging
In cardiac CINE, motion-compensated MR reconstruction (MCMR) is an effec...
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09/08/2022
Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging
Motion-compensated MR reconstruction (MCMR) is a powerful concept with c...
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03/23/2022
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
Physics-driven deep learning methods have emerged as a powerful tool for...
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07/19/2021
LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging
Physiological motion, such as cardiac and respiratory motion, during Mag...
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09/22/2020
Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation
The concept of biological age (BA) - although important in clinical prac...
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08/05/2020
Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies
Purpose: To enable fast and reliable assessment of subcutaneous and visc...
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10/14/2019
Organ-based Age Estimation based on 3D MRI Scans
Individuals age differently depending on a multitude of different factor...
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10/12/2019
Unsupervised Adversarial Correction of Rigid MR Motion Artifacts
Motion is one of the main sources for artifacts in magnetic resonance (M...
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03/08/2019
Unsupervised Medical Image Translation Using Cycle-MedGAN
Image-to-image translation is a new field in computer vision with multip...
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09/17/2018
Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs
Motion artifacts are a primary source of magnetic resonance (MR) image q...
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06/17/2018
