Thomas Küstner
sites.google.com
0000-0002-0353-4898
King's College London
87 papers found
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Unsupervised Medical Image Translation Using Cycle-MedGAN
Automated and standardized whole-body adipose tissue segmentation in T1-weighted FSE
A Variational Neural Network for Accelerating Free-breathing Whole-Heart Coronary MR Angiography
Deep Learning Based MR Image Quality Assessment and Artifact Localization for Application in Clinical Practice
Adversarial inpainting of MR images using deep adversarial networks
Retrospective deep learning based motion correction from complex-valued imaging data
Active Learning for the Adaption of Trained CNN Models for Detection of Motion Artifacts to New Data
A machine-learning framework for automatic reference-free quality assessment in MRI
Semantic Organ Segmentation in 3D Whole-Body MR Images
ImFEATbox: a toolbox for extraction and analysis of medical image features
Simultaneous detection and identification of MR artifact types in whole-body imaging
Motion artifact quantification and localization for whole-body MRI
Automated segmentation of abdominal organs in T1-weighted MR images using a depp learning approach: application on a large epidemiological MR study
Active Learning for automated reference-free MR image quality assessment: descreasing the number of required training samples by reduction of intra-batch redundancy
Improved subsampling trajectory for reliable assessment of cardiac and respiratory motion in 5D MRI for body motion correction
Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging
Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging
Spatial-temporal perfusion patterns of the human liver assessed by pseudo-continuous arterial spin labeling MRI
Impact of labeling process on automated motion artifact detection in whole-body MR images with a deep learning approach: a comparative study
Acceleration of Magnetic Resonance Cholangiopancreatography Using Compressed Sensing at 1.5 and 3 Tesla: A Clinical Feasibility Study
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