Thomas Kustner
Orcid: 0000-0002-0353-4898
According to our database1,
Thomas Kustner
authored at least 46 papers
between 2015 and 2024.
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Bibliography
2024
IEEE Trans. Medical Imaging, August, 2024
Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation.
IEEE Trans. Medical Imaging, July, 2024
Medical Image Anal., January, 2024
Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging.
CoRR, 2024
Attention Incorporated Network for Sharing Low-rank, Image and K-space Information during MR Image Reconstruction to Achieve Single Breath-hold Cardiac Cine Imaging.
CoRR, 2024
TotalSegmentator MRI: Sequence-Independent Segmentation of 59 Anatomical Structures in MR images.
CoRR, 2024
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Deep Regression for Biological Age Estimation in Multiple Organs: Investigations on 40, 000 Subjects of the UK Biobank.
Proceedings of the IEEE International Conference on Acoustics, 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
CoRR, 2023
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
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
2022
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
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
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
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
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
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
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
2018
CoRR, 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
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
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
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
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