Hanna Siebert
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
Papers in
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- Medical Image Segmentation Techniques 11
- Advanced Neural Network Applications 7
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 3
- COVID-19 diagnosis using AI 2
- Co-authors
- Ulrich Hofmann (1 shared paper)Stefan Frantz (1 shared paper)Mattias Paul Heinrich (13 shared papers)Benjamin Vogel (1 shared paper)Lasse Hansen (7 shared papers)Kumar Thirunellai Rajamani (2 shared papers)Rolf Isermann (1 shared paper)W. Engelhardt (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (2 papers)Sensors (2 papers)Journal of Biomedical Informatics (1 paper)MethodsX (1 paper)Lecture notes in computer science (4 papers)
- Partner nations
- GermanyFranceNetherlands
In The Last Decade
Hanna Siebert
17 papers receiving 417 citations
Hanna Siebert's Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 173
- Radiology, Nuclear Medicine and Imaging 98
- Neurology 32
- Health Informatics 3
- Biomedical Engineering 84
Countries citing papers authored by Hanna Siebert
This map shows the geographic impact of Hanna Siebert'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 Hanna Siebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanna Siebert more than expected).
Fields of papers citing papers by Hanna Siebert
This network shows the impact of papers produced by Hanna Siebert. 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 Hanna Siebert. The network helps show where Hanna Siebert may publish in the future.
Co-authors
The 11 scholars most cited alongside Hanna Siebert, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning Hit paper breakdown → | 2023 | 156 |
| 2 | 2015 | 132 | |
| 3 | 2022 | 40 | |
| 4 | 2022 | 31 | |
| 5 | 2021 | 22 | |
| 6 | 2022 | 10 | |
| 7 | 1977 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 1981 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 1988 | 1 | |
| 14 | Development of a Process for the Production of fine Grid Structures by the use of Fused Filament Fabrication | 2019 | 1 |
| 15 | 2020 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2019 | 0 | |
| 19 | 2023 | 0 | |
| 20 | 2025 | 0 |
About Hanna Siebert
Hanna Siebert is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Artificial Intelligence and Health Informatics, having authored 21 papers that have together received 430 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (11 papers), Advanced Neural Network Applications (7 papers), Medical Imaging and Analysis (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (3 papers), AI in cancer detection (3 papers), Water Systems and Optimization (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Radiology, Nuclear Medicine and Imaging (98 citations), Neurology (32 citations), Health Informatics (3 citations) and Biomedical Engineering (84 citations). Hanna Siebert has collaborated with scholars based in Germany, France and Netherlands. Frequent co-authors include Ulrich Hofmann, Stefan Frantz, Mattias Paul Heinrich, Benjamin Vogel, Lasse Hansen, Kumar Thirunellai Rajamani, Rolf Isermann, W. Engelhardt, Edgar Doersam and Ragnar Bade. Their work appears in journals such as IEEE Transactions on Medical Imaging, Sensors, Journal of Biomedical Informatics, MethodsX and Lecture notes in computer science.
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.