Kerstin Hammernik

4.2k total citations · 1 hit paper
47 papers, 2.1k citations indexed

About

Kerstin Hammernik is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kerstin Hammernik has authored 47 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Biomedical Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kerstin Hammernik's work include Advanced MRI Techniques and Applications (28 papers), Medical Imaging Techniques and Applications (25 papers) and Cardiac Imaging and Diagnostics (11 papers). Kerstin Hammernik is often cited by papers focused on Advanced MRI Techniques and Applications (28 papers), Medical Imaging Techniques and Applications (25 papers) and Cardiac Imaging and Diagnostics (11 papers). Kerstin Hammernik collaborates with scholars based in Germany, United Kingdom and United States. Kerstin Hammernik's co-authors include Thomas Pock, Florian Knöll, Daniel K. Sodickson, Erich Kobler, Michael P. Recht, Daniel Rueckert, Mehmet Akçakaya, Thomas Küstner, Chi Zhang and Steen Moeller and has published in prestigious journals such as Scientific Reports, Magnetic Resonance in Medicine and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Kerstin Hammernik

41 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning a variational network for reconstruction of accelerated MRI data

2017 975 citations Kerstin Hammernik, Erich Kobler et al. Magnetic Resonance in Medicine profile →

Peers

Countries citing papers authored by Kerstin Hammernik

Since Specialization

Citations

This map shows the geographic impact of Kerstin Hammernik's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kerstin Hammernik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kerstin Hammernik more than expected).

Fields of papers citing papers by Kerstin Hammernik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kerstin Hammernik. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kerstin Hammernik. The network helps show where Kerstin Hammernik may publish in the future.

Co-authorship network of co-authors of Kerstin Hammernik

This figure shows the co-authorship network connecting the top 25 collaborators of Kerstin Hammernik. A scholar is included among the top collaborators of Kerstin Hammernik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kerstin Hammernik. Kerstin Hammernik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	PISCO: Self-supervised k-space regularization for improved neural implicit k-space representations of dynamic MRI 2025 ·Medical Image Analysis ·(unknown), (unknown), Wenqi Huang, (unknown), (unknown), Rickmer Braren, Daniel Rueckert, Francisco Sahli Costabal, Kerstin Hammernik, Dimitrios C. Karampinos, Claudia Prieto, Julia A. Schnabel	0
2	Multi‐Frame Image Registration for Automated Ventricular Function Assessment in Single Breath‐Hold Cine MRI Using Limited Labels 2025 ·Magnetic Resonance in Medicine ·(unknown), (unknown), (unknown), Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner	0
3	Direct Cardiac Segmentation from Undersampled K-Space using Transformers 2024 ·(unknown), (unknown), (unknown), Wenqi Huang, Kerstin Hammernik, Daniel Rueckert	0
4	Deep learning‐based whole‐brain B₁⁺‐mapping at 7T 2024 ·Magnetic Resonance in Medicine ·(unknown), Christoph Stefan Aigner, (unknown), (unknown), (unknown), (unknown), (unknown), Kerstin Hammernik, Jeanette Schulz‐Menger, Tobias Schaeffter, Sebastian Schmitter	1
5	Shortcut to chemically accurate quantum computing via density-based basis-set correction 2024 ·Communications Chemistry ·(unknown), (unknown), (unknown), (unknown), Yvon Maday, (unknown), Kerstin Hammernik, Alberto Peruzzo, Julien Toulouse, Emmanuel Giner, Jean‐Philip Piquemal	2
6	Predictive uncertainty in deep learning–based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data set 2024 ·Magnetic Resonance in Medicine ·Thomas Küstner, Kerstin Hammernik, Daniel Rueckert, Tobias Hepp, Sergios Gatidis	3
7	Attention incorporated network for sharing low-rank, image and k-space information during MR image reconstruction to achieve single breath-hold cardiac Cine imaging 2024 ·Computerized Medical Imaging and Graphics ·(unknown), Kerstin Hammernik, (unknown), (unknown), Patrick Krumm, Daniel Rueckert, Sergios Gatidis, Thomas Küstner	2
8	A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis 2023 ·IEEE Transactions on Biomedical Engineering ·(unknown), Esther Puyol‐Antón, Kerstin Hammernik, Gastão Cruz, (unknown), (unknown), İlkay Öksüz, Bram Ruijsink, Miguel Castelo‐Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King	3
9	Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI 2023 ·Medical Image Analysis ·(unknown), (unknown), Wenqi Huang, Kerstin Hammernik, Thomas Kuestner, Daniel Rueckert	9
10	Single‐heartbeat cardiac cine imaging via jointly regularized nonrigid motion‐corrected reconstruction 2023 ·NMR in Biomedicine ·Gastão Cruz, Kerstin Hammernik, Thomas Kuestner, (unknown), Alina Hua, Tevfik F. Ismail, Daniel Rueckert, René M. Botnar, Claudia Prieto	7
11	Uncertainty estimation via ensembling for deep learning-based MR image reconstruction 2023 ·Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition ·Tobias Hepp, Sergios Gatidis, Kerstin Hammernik, Thomas Küstner	0
12	Rapid estimation of 2D relative B1+‐maps from localizers in the human heart at 7T using deep learning 2022 ·Magnetic Resonance in Medicine ·(unknown), Christoph Stefan Aigner, Kerstin Hammernik, (unknown), (unknown), Jeanette Schulz‐Menger, Tobias Schaeffter, Sebastian Schmitter	10
13	Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction 2021 ·IEEE Transactions on Medical Imaging ·(unknown), (unknown), Erich Kobler, Kerstin Hammernik, Florian Knöll, Thomas Pock	33
14	Learning Diffeomorphic and Modality-invariant Registration using B-splines. 2021 ·Huaqi Qiu, Qin Chen, Andreas Schuh, Kerstin Hammernik, Daniel Rueckert	23
15	Bias Field Robustness Verification of Large Neural Image Classifiers 2021 ·(unknown), Kerstin Hammernik, Daniel Rueckert, Alessio Lomuscio	2
16	Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk 2020 ·Research Portal (King's College London) ·Thomas Küstner, (unknown), Christopher Gilliam, Haikun Qi, Gastão Cruz, Kerstin Hammernik, Bin Yang, Thierry Blu, Daniel Rueckert, René M. Botnar, Claudia Prieto, Sergios Gatidis	4
17	Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues 2020 ·IEEE Signal Processing Magazine ·Florian Knöll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya	205
18	Rapid mono and biexponential 3D-T1ρ mapping of knee cartilage using variational networks 2020 ·Scientific Reports ·Marcelo V. W. Zibetti, Patricia M. Johnson, Azadeh Sharafi, Kerstin Hammernik, Florian Knöll, Ravinder R. Regatte	13
19	A multi-center milestone study of clinical vertebral CT segmentation 2016 ·Computerized Medical Imaging and Graphics ·Jianhua Yao, Joseph E. Burns, Daniel Forsberg, Alexander Seitel, Abtin Rasoulian, Purang Abolmaesumi, Kerstin Hammernik, Martin Urschler, Bulat Ibragimov, Robert Korez, Tomaž Vrtovec, Isaac Castro-Mateos, José M. Pozo, Alejandro F. Frangi, Ronald M. Summers, Shuo Li	101
20	Spray Drying of Aqueous Salbutamol Sulfate Solutions Using the Nano Spray Dryer B-90—The Impact of Process Parameters on Particle Size 2013 ·Drying Technology ·Eva Maria Littringer, Sarah Zellnitz, Kerstin Hammernik, (unknown), Herwig Friedl, Nora Anne Urbanetz	35

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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