Simon Köhl
Impact in
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in ⓘ
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- COVID-19 diagnosis using AI 3
- Radiomics and Machine Learning in Medical Imaging 3
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- Advanced Neural Network Applications 3
- Image Processing and 3D Reconstruction 1
- Co-authors
- Klaus Maier‐Hein (10 shared papers)Tristan Anselm Kuder (4 shared papers)Patrick Schelb (3 shared papers)Jan Philipp Radtke (3 shared papers)David Bonekamp (3 shared papers)Markus Hohenfellner (3 shared papers)Manuel Wiesenfarth (3 shared papers)Philipp Kickingereder (2 shared papers)
- Journals
- Radiology (2 papers)Magnetic Resonance Imaging (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)physica status solidi (b) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- GermanyUnited StatesMexico
In The Last Decade
Simon Köhl
11 papers receiving 576 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Health Informatics 36
- Radiology, Nuclear Medicine and Imaging 418
- Pulmonary and Respiratory Medicine 315
- Computer Vision and Pattern Recognition 111
- Artificial Intelligence 147
Countries citing papers authored by Simon Köhl
This map shows the geographic impact of Simon Köhl'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 Simon Köhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Köhl more than expected).
Fields of papers citing papers by Simon Köhl
This network shows the impact of papers produced by Simon Köhl. 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 Simon Köhl. The network helps show where Simon Köhl may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Köhl, 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 | Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment Hit paper breakdown → | 2019 | 230 |
| 2 | 2018 | 156 | |
| 3 | nnU-Net: Breaking the Spell on Successful Medical Image Segmentation. | 2019 | 84 |
| 4 | Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection | 2020 | 38 |
| 5 | 2020 | 37 | |
| 6 | 2021 | 18 | |
| 7 | 2015 | 17 | |
| 8 | 2019 | 2 | |
| 9 | 2020 | 1 | |
| 10 | Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection | 2018 | 1 |
| 11 | 2024 | 1 |
About Simon Köhl
Simon Köhl is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Orthopedics and Sports Medicine and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 585 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (3 papers), Prostate Cancer Treatment and Research (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced Neural Network Applications (3 papers), Semiconductor Quantum Structures and Devices (1 paper), Quantum and electron transport phenomena (1 paper) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Health Informatics (36 citations), Radiology, Nuclear Medicine and Imaging (418 citations), Pulmonary and Respiratory Medicine (315 citations), Computer Vision and Pattern Recognition (111 citations) and Artificial Intelligence (147 citations). Simon Köhl has collaborated with scholars based in Germany, United States and Mexico. Frequent co-authors include Klaus Maier‐Hein, Tristan Anselm Kuder, Patrick Schelb, Jan Philipp Radtke, David Bonekamp, Markus Hohenfellner, Manuel Wiesenfarth, Philipp Kickingereder, Fabian Isensee and Sebastian Bickelhaupt. Their work appears in journals such as Radiology, Magnetic Resonance Imaging, International Journal of Computer Assisted Radiology and Surgery, physica status solidi (b) and arXiv (Cornell University).
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.