Standout Papers

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks 2019 2026 2021 2023 684
  1. f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks (2019)
    Thomas Schlegl, Philipp Seeböck et al. Medical Image Analysis

Immediate Impact

2 from Science/Nature 69 standout
Sub-graph 1 of 23

Citing Papers

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
2024 Standout
Applied body-fluid analysis by wearable devices
2024 StandoutNature
2 intermediate papers

Works of Philipp Seeböck being referenced

Unbiased identification of novel subclinical imaging biomarkers using unsupervised deep learning
2020
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
2019 Standout

Author Peers

Author Last Decade Papers Cites
Philipp Seeböck 405 196 226 525 19 982
Edward Rajan Samuel Nadar 271 110 198 229 55 856
Neelu Khare 256 116 166 453 37 1.0k
Beatriz Remeseiro 180 108 192 299 43 958
Kai Zhang 215 22 242 537 47 979
Atef Zaguia 143 35 182 241 44 784
José‐Luis Sancho‐Gómez 165 44 233 444 39 1.0k
Orhan Yaman 121 31 114 163 45 819
Sumeet Dua 447 307 313 278 37 1.2k
Omar Elharrouss 239 42 677 274 59 1.1k
Muhammad Mateen 413 137 204 174 18 829

All Works

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2026