Michael Baumgartner
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 8
- COVID-19 diagnosis using AI 4
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- AI in cancer detection 7
- Explainable Artificial Intelligence (XAI) 3
- Co-authors
- Klaus Hermann Maier-Hein (17 shared papers)Fabian Isensee (9 shared papers)Constantin Ulrich (6 shared papers)Saikat Roy (3 shared papers)Paul F. Jäger (5 shared papers)Tassilo Wald (6 shared papers)Jens Petersen (1 shared paper)Gregor Koehler (1 shared paper)
- Journals
- European Radiology Experimental (3 papers)Japanese Journal of Applied Physics (2 papers)Nature Methods (2 papers)Semiconductor Science and Technology (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Baumgartner
33 papers receiving 946 citations
Michael Baumgartner's Hit Papers
Peers
Comparison fields: 5 of 120
- Health Informatics 55
- Radiology, Nuclear Medicine and Imaging 285
- Neurology 87
- Computer Vision and Pattern Recognition 231
- Biophysics 41
Countries citing papers authored by Michael Baumgartner
This map shows the geographic impact of Michael Baumgartner'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 Michael Baumgartner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Baumgartner more than expected).
Fields of papers citing papers by Michael Baumgartner
This network shows the impact of papers produced by Michael Baumgartner. 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 Michael Baumgartner. The network helps show where Michael Baumgartner may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Baumgartner, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metrics reloaded: recommendations for image analysis validation Hit paper breakdown → | 2024 | 247 |
| 2 | MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation Hit paper breakdown → | 2023 | 178 |
| 3 | nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation Hit paper breakdown → | 2024 | 145 |
| 4 | Understanding metric-related pitfalls in image analysis validation Hit paper breakdown → | 2024 | 120 |
| 5 | 2021 | 56 | |
| 6 | 2023 | 29 | |
| 7 | 2023 | 26 | |
| 8 | 1988 | 21 | |
| 9 | 1992 | 20 | |
| 10 | 2018 | 19 | |
| 11 | 2012 | 19 | |
| 12 | 2023 | 15 | |
| 13 | 2005 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2024 | 10 | |
| 16 | 2019 | 7 | |
| 17 | 2012 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2023 | 4 |
About Michael Baumgartner
Michael Baumgartner is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 43 papers that have together received 976 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (7 papers), COVID-19 diagnosis using AI (4 papers), Explainable Artificial Intelligence (XAI) (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). The work is most often cited by research in Health Informatics (55 citations), Radiology, Nuclear Medicine and Imaging (285 citations), Neurology (87 citations), Computer Vision and Pattern Recognition (231 citations) and Biophysics (41 citations). Michael Baumgartner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Klaus Hermann Maier-Hein, Fabian Isensee, Constantin Ulrich, Saikat Roy, Paul F. Jäger, Tassilo Wald, Jens Petersen, Gregor Koehler, Francesca Venturini and Stefan Reichlmaier. Their work appears in journals such as European Radiology Experimental, Japanese Journal of Applied Physics, Nature Methods, Semiconductor Science and Technology and Annals of the New York Academy of Sciences.
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.