Philipp Seeböck

4.8k citations
19 papers · 1.2k indexed · 1 hit paper · h-index 9

Impact in

Papers in

Philipp Seeböck

19 papers receiving 1.1k citations

Hit Papers

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks 2019 · 845 citations
8452019202620212023250500750

Peers

Philipp Seeböck
Comparison fields: 5 of 95
  • Ophthalmology 217
  • Health Informatics 29
  • Artificial Intelligence 661
  • Radiology, Nuclear Medicine and Imaging 460
  • Industrial and Manufacturing Engineering 153
Replace Yanjun Peng with:
Yanjun Peng China
Zekuan Yu China
N. Sri Madhava Raja India
P. Palanisamy India
Barath Narayanan Narayanan United States
Stanislav S. Makhanov Thailand
Guanghui Yue China
Philipp Seeböck relative to Yanjun Peng China Yanjun Peng's profile →
Citations per field
00.5×3.8×
Yanjun Peng · 1×
Citations per year

Countries citing papers authored by Philipp Seeböck

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Philipp Seeböck Line = papers co-authored together Philipp Seeböck links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
Hit paper breakdown →
2019845
2 2019100
3 202159
4 201941
5 202035
6 202021
7 202214
8 202310
9 20229
10 20248
11 20227
12 20236
13 20226
14 20195
15
Detection of retinal fluids in OCT scans by an automated deep learning algorithm compared to human expert grading in the HAWK & HARRIER trials
20202
16
The Impact of Drusen on Retinal Sensitivity in non-exudative Age-Related Macular Degeneration: A point-to-point Analysis
20201
17
Linking Function and Structure: Prediction of Retinal Sensitivity in AMD from OCT using Deep Learning
20191
18
Defining disease endophenotypes in neovascular AMD by unsupervised machine learning of large-scale OCT data
20171
19 20221

About Philipp Seeböck

Philipp Seeböck is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Biophysics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (17 papers), Retinal Diseases and Treatments (9 papers), Retinal and Optic Conditions (5 papers), Digital Imaging for Blood Diseases (3 papers), Glaucoma and retinal disorders (3 papers), Optical Coherence Tomography Applications (2 papers), Cell Image Analysis Techniques (2 papers) and Corneal surgery and disorders (1 paper). The work is most often cited by research in Ophthalmology (217 citations), Health Informatics (29 citations), Artificial Intelligence (661 citations), Radiology, Nuclear Medicine and Imaging (460 citations) and Industrial and Manufacturing Engineering (153 citations). Philipp Seeböck has collaborated with scholars based in Austria, Argentina and United States. Frequent co-authors include Ursula Schmidt‐Erfurth, Sebastian M. Waldstein, Georg Langs, Thomas Schlegl, Hrvoje Bogunović, José Ignacio Orlando, Bianca S. Gerendas, Sophie Klimscha, Amir Sadeghipour and Wolf‐Dieter Vogl. Their work appears in journals such as Investigative Ophthalmology & Visual Science, British Journal of Ophthalmology, Eye, Biomedical Optics Express and Medical Image Analysis.

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.

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