Mathias Perslev
Impact in
- Health Informatics top 5%
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Advanced Neural Network Applications 5
-
- Osteoarthritis Treatment and Mechanisms 4
- Co-authors
- Christian Igel (4 shared papers)Poul Jennum (2 shared papers)Sune Darkner (1 shared paper)Miki Nikolic (1 shared paper)Sami S. Brandt (1 shared paper)Erik Bjørnager Dam (4 shared papers)Akshay Pai (1 shared paper)Jos Runhaar (2 shared papers)
- Journals
- SLEEP (2 papers)Osteoarthritis and Cartilage (2 papers)Journal of Magnetic Resonance Imaging (1 paper)Nature Communications (1 paper)Basic & Clinical Pharmacology & Toxicology (1 paper)
- Partner nations
- DenmarkUnited StatesGermany
In The Last Decade
Mathias Perslev
15 papers receiving 1.9k citations
Mathias Perslev's Hit Papers
Peers
Comparison fields: 5 of 113
- Health Informatics 56
- Computer Vision and Pattern Recognition 747
- Radiology, Nuclear Medicine and Imaging 674
- Neurology 245
- Artificial Intelligence 612
Countries citing papers authored by Mathias Perslev
This map shows the geographic impact of Mathias Perslev'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 Mathias Perslev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Perslev more than expected).
Fields of papers citing papers by Mathias Perslev
This network shows the impact of papers produced by Mathias Perslev. 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 Mathias Perslev. The network helps show where Mathias Perslev may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathias Perslev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Medical Segmentation Decathlon Hit paper breakdown → | 2022 | 854 |
| 2 | The Liver Tumor Segmentation Benchmark (LiTS) Hit paper breakdown → | 2022 | 664 |
| 3 | U-Sleep: resilient high-frequency sleep staging Hit paper breakdown → | 2021 | 229 |
| 4 | 2019 | 82 | |
| 5 | 2021 | 11 | |
| 6 | 2019 | 10 | |
| 7 | 2021 | 10 | |
| 8 | 2022 | 6 | |
| 9 | 2025 | 6 | |
| 10 | 2021 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2020 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Mathias Perslev
Mathias Perslev is a scholar working on Computer Vision and Pattern Recognition, Rheumatology, Radiology, Nuclear Medicine and Imaging, Health Informatics and Oral Surgery, having authored 17 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging and Analysis (2 papers), AI in cancer detection (2 papers), Receptor Mechanisms and Signaling (2 papers), Obstructive Sleep Apnea Research (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Health Informatics (56 citations), Computer Vision and Pattern Recognition (747 citations), Radiology, Nuclear Medicine and Imaging (674 citations), Neurology (245 citations) and Artificial Intelligence (612 citations). Mathias Perslev has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Christian Igel, Poul Jennum, Sune Darkner, Miki Nikolic, Sami S. Brandt, Erik Bjørnager Dam, Akshay Pai, Jos Runhaar, Mikael Boesen and Kenneth Lindegaard Madsen. Their work appears in journals such as SLEEP, Osteoarthritis and Cartilage, Journal of Magnetic Resonance Imaging, Nature Communications and Basic & Clinical Pharmacology & Toxicology.
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.