Philipp Seeböck
Impact in
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- AI in cancer detection
-
- COVID-19 diagnosis using AI
- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Retinal Imaging and Analysis 17
-
- Retinal Diseases and Treatments 7
- Retinal and Optic Conditions 4
- Glaucoma and retinal disorders 2
- Co-authors
- Ursula Margarethe Schmidt-Erfurth (21 shared papers)Sebastian M. Waldstein (9 shared papers)Georg Langs (8 shared papers)Thomas Schlegl (3 shared papers)Hrvoje Bogunović (13 shared papers)José Ignacio Orlando (8 shared papers)Bianca S. Gerendas (9 shared papers)Sophie Klimscha (1 shared paper)
- Journals
- Investigative Ophthalmology & Visual Science (4 papers)Eye (2 papers)Medical Image Analysis (2 papers)IEEE Transactions on Medical Imaging (2 papers)Biomedical Optics Express (2 papers)
- Partner nations
- AustriaUnited StatesArgentina
In The Last Decade
Philipp Seeböck
25 papers receiving 3.3k citations
Philipp Seeböck's Hit Papers
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 2.1k
- Radiology, Nuclear Medicine and Imaging 810
- Computer Vision and Pattern Recognition 799
- Industrial and Manufacturing Engineering 384
- Health Informatics 48
Countries citing papers authored by Philipp Seeböck
This map shows the geographic impact of Philipp Seeböck'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 Philipp Seeböck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Seeböck more than expected).
Fields of papers citing papers by Philipp Seeböck
This network shows the impact of papers produced by Philipp Seeböck. 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 Philipp Seeböck. The network helps show where Philipp Seeböck may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Seeböck, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery Hit paper breakdown → | 2017 | 1688 |
| 2 | f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks Hit paper breakdown → | 2019 | 1062 |
| 3 | METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII Hit paper breakdown → | 2024 | 208 |
| 4 | 2019 | 119 | |
| 5 | 2021 | 71 | |
| 6 | 2019 | 48 | |
| 7 | 2020 | 40 | |
| 8 | 2020 | 27 | |
| 9 | 2022 | 22 | |
| 10 | 2023 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2022 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2019 | 4 | |
| 18 | Detection of retinal fluids in OCT scans by an automated deep learning algorithm compared to human expert grading in the HAWK & HARRIER trials | 2020 | 2 |
| 19 | 2026 | 2 | |
| 20 | 2024 | 1 |
About Philipp Seeböck
Philipp Seeböck is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Biophysics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 26 papers that have together received 3.4k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (17 papers), Retinal Diseases and Treatments (7 papers), Retinal and Optic Conditions (4 papers), Digital Imaging for Blood Diseases (3 papers), Cell Image Analysis Techniques (3 papers), Anomaly Detection Techniques and Applications (2 papers), Optical Coherence Tomography Applications (2 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Radiology, Nuclear Medicine and Imaging (810 citations), Computer Vision and Pattern Recognition (799 citations), Industrial and Manufacturing Engineering (384 citations) and Health Informatics (48 citations). Philipp Seeböck has collaborated with scholars based in Austria, United States and Argentina. Frequent co-authors include Ursula Margarethe Schmidt-Erfurth, Sebastian M. Waldstein, Georg Langs, Thomas Schlegl, Hrvoje Bogunović, José Ignacio Orlando, Bianca S. Gerendas, Sophie Klimscha, Wolf‐Dieter Vogl and Amir Sadeghipour. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Eye, Medical Image Analysis, IEEE Transactions on Medical Imaging and Biomedical Optics Express.
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.