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HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies
  Associated with Human Disease

HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease

5 September 2022
M. R. Siddiquee
Jay Shah
Teresa Wu
C. Chong
T. Schwedt
Baoxin Li
    MedIm
ArXiv (abs)PDFHTMLGithub (10★)

Papers citing "HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease"

3 / 3 papers shown
DinoAtten3D: Slice-Level Attention Aggregation of DinoV2 for 3D Brain MRI Anomaly Classification
DinoAtten3D: Slice-Level Attention Aggregation of DinoV2 for 3D Brain MRI Anomaly Classification
Fazle Rafsani
Jay Shah
C. Chong
T. Schwedt
Teresa Wu
128
0
0
15 Sep 2025
Spatial-aware Attention Generative Adversarial Network for
  Semi-supervised Anomaly Detection in Medical Image
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image
Zerui Zhang
Zhichao Sun
Zelong Liu
Bo Du
Jingbo Xia
Zhou Zhao
Yongchao Xu
GANMedIm
255
5
0
21 May 2024
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing
  Unannotated T1-weighted Brain MR Images
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR ImagesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
M. R. Siddiquee
Jay Shah
Teresa Wu
C. Chong
T. Schwedt
Gina M. Dumkrieger
S. Nikolova
Baoxin Li
MedIm
299
17
0
18 Feb 2023
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