Michael Baumgartner
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- AI in cancer detection 7
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- Radiomics and Machine Learning in Medical Imaging 6
- COVID-19 diagnosis using AI 3
- Co-authors
- Klaus Maier‐Hein (13 shared papers)Fabian Isensee (8 shared papers)Constantin Ulrich (6 shared papers)Saikat Roy (3 shared papers)Paul F. Jäger (4 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)Sensors (1 paper)European Radiology (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Michael Baumgartner
25 papers receiving 378 citations
Michael Baumgartner's Hit Papers
Peers
Comparison fields: 5 of 87
- Radiology, Nuclear Medicine and Imaging 114
- Computer Vision and Pattern Recognition 117
- Neurology 41
- Health Informatics 6
- Otorhinolaryngology 8
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation Hit paper breakdown → | 2023 | 137 |
| 2 | nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation Hit paper breakdown → | 2024 | 116 |
| 3 | 2023 | 23 | |
| 4 | 1988 | 21 | |
| 5 | 1992 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2023 | 11 | |
| 8 | 2005 | 11 | |
| 9 | 2024 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2012 | 6 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 3 | |
| 15 | Decoupling GDP and performance growth from energy use in German road freight traffic | 2005 | 3 |
| 16 | 2023 | 2 | |
| 17 | 1990 | 2 | |
| 18 | 2013 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2023 | 1 |
About Michael Baumgartner
Michael Baumgartner is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 34 papers that have together received 406 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Prostate Cancer Diagnosis and Treatment (3 papers), COVID-19 diagnosis using AI (3 papers), Non-Invasive Vital Sign Monitoring (2 papers), Medical Imaging and Analysis (2 papers) and Analytical Chemistry and Sensors (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (114 citations), Computer Vision and Pattern Recognition (117 citations), Neurology (41 citations), Health Informatics (6 citations) and Otorhinolaryngology (8 citations). Michael Baumgartner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Klaus Maier‐Hein, Fabian Isensee, Constantin Ulrich, Saikat Roy, Paul F. Jäger, Tassilo Wald, Jens Petersen, Gregor Koehler, Francesca Venturini and S. Reichlmaier. Their work appears in journals such as European Radiology Experimental, Japanese Journal of Applied Physics, Sensors, European Radiology 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.