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Bias in Unsupervised Anomaly Detection in Brain MRI

Bias in Unsupervised Anomaly Detection in Brain MRI

Cosmin I. Bercea
Esther Puyol-Antón
Benedikt Wiestler
Daniel Rueckert
Julia A. Schnabel
A. King
    OOD
ArXiv (abs)PDFHTML

Papers citing "Bias in Unsupervised Anomaly Detection in Brain MRI"

3 / 3 papers shown
Title
Denoising Diffusion Models for Anomaly Localization in Medical Images
Denoising Diffusion Models for Anomaly Localization in Medical Images
Cosmin I. Bercea
P. Cattin
Julia A. Schnabel
J. Wolleb
DiffMMedIm
110
1
0
31 Oct 2024
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations
Selective Test-Time Adaptation for Unsupervised Anomaly Detection using Neural Implicit Representations
Sameer Ambekar
Julia A. Schnabel
Cosmin Bereca
MedImOOD
122
1
0
04 Oct 2024
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review
Zikang Xu
Jun Li
Yongshuo Zong
Han Li
Qingsong Yao
S. Kevin Zhou
220
24
0
27 Sep 2022

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