Thomas Kustner

Orcid: 0000-0002-0353-4898

According to our database1, Thomas Kustner authored at least 39 papers between 2015 and 2024.

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Bibliography

2024
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI.
Medical Image Anal., January, 2024

2023
Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study.
BMC Medical Imaging, December, 2023

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging.
IEEE Signal Process. Mag., 2023

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.
CoRR, 2023

Reconstruction-driven motion estimation for motion-compensated MR CINE imaging.
CoRR, 2023

Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing.
IEEE Access, 2023

Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

2022
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging.
CoRR, 2022

Self-supervised learning for automated anatomical tracking in medical image data with minimal human labeling effort.
Comput. Methods Programs Biomed., 2022

Real Time Landmark Detection for Within- and Cross Subject Tracking With Minimal Human Supervision.
IEEE Access, 2022

Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning.
IEEE Trans. Medical Imaging, 2021

LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2021

Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation.
IEEE Trans. Medical Imaging, 2021

Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Age-Net: An MRI-Based Iterative Framework for Biological Age Estimation.
CoRR, 2020

Fully Automated and Standardized Segmentation of Adipose Tissue Compartments by Deep Learning in Three-dimensional Whole-body MRI of Epidemiological Cohort Studies.
CoRR, 2020

MedGAN: Medical image translation using GANs.
Comput. Medical Imaging Graph., 2020

Accelerated 4D Respiratory Motion-Resolved Cardiac MRI with a Model-Based Variational Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Unsupervised Adversarial Correction of Rigid MR Motion Artifacts.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Organ-Based Chronological Age Estimation Based on 3D MRI Scans.
Proceedings of the 28th European Signal Processing Conference, 2020

Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Organ-based Age Estimation based on 3D MRI Scans.
CoRR, 2019

Retrospective Correction Of Rigid And Non-Rigid MR Motion Artifacts Using Gans.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Unsupervised Medical Image Translation Using Cycle-MedGAN.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
A Machine-learning framework for automatic reference-free quality assessment in MRI.
CoRR, 2018

MedGAN: Medical Image Translation using GANs.
CoRR, 2018

ImFEATbox: a toolbox for extraction and analysis of medical image features.
Int. J. Comput. Assist. Radiol. Surg., 2018

Semantic Organ Segmentation in 3D Whole-Body MR Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Automatic Motion Artifact Detection for Whole-Body Magnetic Resonance Imaging.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
MR-based respiratory and cardiac motion correction for PET imaging.
Medical Image Anal., 2017

An easy-to-use image labeling platform for automatic magnetic resonance image quality assessment.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
MR Image Reconstruction Using a Combination of Compressed Sensing and Partial Fourier Acquisition: ESPReSSo.
IEEE Trans. Medical Imaging, 2016

3D motion flow estimation using local all-pass filters.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Active learning for magnetic resonance image quality assessment.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Combining Compressed Sensing with motion correction in acquisition and reconstruction for PET/MR.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015


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