Thomas Küstner
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Cardiac Imaging and Diagnostics
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
-
- Advanced MRI Techniques and Applications 59
- Medical Imaging Techniques and Applications 12
- Cardiac Imaging and Diagnostics 9
- Radiomics and Machine Learning in Medical Imaging 8
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- Medical Image Segmentation Techniques 16
- Image and Video Quality Assessment 3
- Co-authors
- Sergios Gatidis (41 shared papers)Bin Yang (24 shared papers)Konstantin Nikolaou (24 shared papers)Daniel Rueckert (18 shared papers)Kerstin Hammernik (20 shared papers)Fritz Schick (16 shared papers)Claudia Prieto (13 shared papers)René Michael Botnar (13 shared papers)
- Journals
- Magnetic Resonance in Medicine (10 papers)Journal of Magnetic Resonance Imaging (4 papers)Magnetic Resonance Imaging (4 papers)IEEE Transactions on Medical Imaging (4 papers)NMR in Biomedicine (3 papers)
- Partner nations
- GermanyUnited KingdomChile
In The Last Decade
Thomas Küstner
87 papers receiving 2.4k citations
Thomas Küstner's Hit Papers
Peers
Comparison fields: 5 of 82
- Health Informatics 228
- Radiology, Nuclear Medicine and Imaging 1.5k
- Computer Vision and Pattern Recognition 705
- Radiation 55
- Artificial Intelligence 134
Countries citing papers authored by Thomas Küstner
This map shows the geographic impact of Thomas Küstner'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 Thomas Küstner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Küstner more than expected).
Fields of papers citing papers by Thomas Küstner
This network shows the impact of papers produced by Thomas Küstner. 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 Thomas Küstner. The network helps show where Thomas Küstner may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Küstner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MedGAN: Medical image translation using GANs Hit paper breakdown → | 2019 | 440 |
| 2 | 2020 | 187 | |
| 3 | 2019 | 106 | |
| 4 | 2021 | 83 | |
| 5 | 2019 | 82 | |
| 6 | 2017 | 81 | |
| 7 | 2023 | 80 | |
| 8 | 2017 | 64 | |
| 9 | 2021 | 63 | |
| 10 | TotalSegmentator MRI: Robust Sequence-independent Segmentation of Multiple Anatomic Structures in MRI Hit paper breakdown → | 2025 | 58 |
| 11 | 2020 | 56 | |
| 12 | 2021 | 48 | |
| 13 | 2018 | 47 | |
| 14 | 2024 | 45 | |
| 15 | 2016 | 44 | |
| 16 | 2020 | 41 | |
| 17 | 2020 | 40 | |
| 18 | 2017 | 38 | |
| 19 | 2020 | 37 | |
| 20 | 2021 | 37 |
About Thomas Küstner
Thomas Küstner is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Health Informatics, Archeology and Pulmonary and Respiratory Medicine, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (59 papers), Medical Image Segmentation Techniques (16 papers), Medical Imaging Techniques and Applications (12 papers), Cardiac Imaging and Diagnostics (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Artificial Intelligence in Healthcare and Education (7 papers), Image and Video Quality Assessment (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (228 citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Computer Vision and Pattern Recognition (705 citations), Radiation (55 citations) and Artificial Intelligence (134 citations). Thomas Küstner has collaborated with scholars based in Germany, United Kingdom and Chile. Frequent co-authors include Sergios Gatidis, Bin Yang, Konstantin Nikolaou, Daniel Rueckert, Kerstin Hammernik, Fritz Schick, Claudia Prieto, René Michael Botnar, Karim Armanious and Petros Martirosian. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Magnetic Resonance Imaging, Magnetic Resonance Imaging, IEEE Transactions on Medical Imaging and NMR in Biomedicine.
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.