Kerstin Hammernik
Orcid: 0000-0002-2734-1409
According to our database1,
Kerstin Hammernik
authored at least 49 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2024
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis.
IEEE Trans. Biomed. Eng., March, 2024
IEEE Trans. Medical Imaging, February, 2024
Medical Image Anal., January, 2024
Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
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
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 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
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
IEEE Trans. Medical Imaging, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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
Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022
2021
GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration.
CoRR, 2021
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues.
IEEE Signal Process. Mag., 2020
CoRR, 2020
CoRR, 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 Ausgezeichnete Informatikdissertationen 2019., 2019
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction.
CoRR, 2019
Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction.
CoRR, 2019
CoRR, 2019
Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019
2018
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
CoRR, 2017
Proceedings of the Pattern Recognition - 39th German Conference, 2017
Proceedings of the Pattern Recognition - 39th German Conference, 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
Comput. Medical Imaging Graph., 2016
Proceedings of the 2016 IEEE International Conference on Computational Photography, 2016
2015
Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2015