Kerstin Hammernik

Medicine · Health Sciences

24h-index4.1kcitations151works1.82yr avg
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Research Topics

Advanced MRI Techniques and Applications(94), Medical Imaging Techniques and Applications(75), Cardiac Imaging and Diagnostics(30), Medical Image Segmentation Techniques(18), Radiomics and Machine Learning in Medical Imaging(18)

Publications151 total

Towards a Unified Theoretical Framework for Self-Supervised MRI Reconstruction
arXiv (Cornell University)·2026Open Access
Towards a Unified Theoretical Framework for Self-Supervised MRI Reconstruction
ArXiv.org·2026Open Access
The ingredients for machine learning
Advances in magnetic resonance technology and applications·2025
PISCO: Self-supervised k-space regularization for improved neural implicit k-space representations of dynamic MRI
Medical Image Analysis·2025· 1 citedOpen Access
Reconstruction-free segmentation from undersampled k-space using transformers
arXiv (Cornell University)·2025Open Access
Multi‐Frame Image Registration for Automated Ventricular Function Assessment in Single Breath‐Hold Cine MRI Using Limited Labels
Magnetic Resonance in Medicine·2025· 1 citedOpen Access
Self-supervised Motion-Compensated Reconstruction for Cardiac Cine MRI
Lecture notes in computer science·2025
A quest for deep learning MR image reconstruction loss functions in k-space
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Self-supervised motion-compensated reconstruction for cardiac Cine MRI
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Registration-Guided Cardiac Functional Assessment from Limited Annotations in a Single Breath-hold Cine
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Leveraging Acquisition Knowledge to Enhance Robustness of Physics-Informed Motion Correction for T2* Quantification
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Subspace Implicit Neural Representations for Real-Time Cardiac MR Imaging
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
Motion‐robust T2∗$$ {\mathrm{T}}_2^{\ast } $$ quantification from low‐resolution gradient echo brain MRI with physics‐informed deep learning
Magnetic Resonance in Medicine·2025Open Access
Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging
Lecture notes in computer science·2025· 4 cited
Self-Supervised Feature Learning for Cardiac Cine MR Image Reconstruction
IEEE Transactions on Medical Imaging·2025· 2 citedOpen Access
PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI
arXiv (Cornell University)·2025· 2 citedOpen Access
Attention incorporated network for sharing low-rank, image and k-space information during MR image reconstruction to achieve single breath-hold cardiac Cine imaging
Computerized Medical Imaging and Graphics·2024· 12 citedOpen Access
Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging
arXiv (Cornell University)·2024· 1 citedOpen Access
TransGRAPPA: Self-supervised Transformer Network for k-Space Interpolation
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024· 1 cited
A self-supervised feature learning strategy for training reconstruction networks on undersampled data in cardiac Cine MRI
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
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Frequent Co-authors

Daniel Rueckert(26), Florian Knöll(16), Thomas Pock(15), Thomas Küstner(13), Daniel K. Sodickson(9), Erich Kobler(7), Chen Qin(7), Jiazhen Pan(7), Jo Schlemper(5), Jinming Duan(5), Teresa Klatzer(4), Michael P. Recht(4), René M. Botnar(4), Claudia Prieto(4), Ronald M. Summers(4), Wenqi Huang(4), Gastão Cruz(4), Sergios Gatidis(4), Mehmet Akçakaya(3), Martin Urschler(3)