(Predictable) Performance Bias in Unsupervised Anomaly Detection

(Predictable) Performance Bias in Unsupervised Anomaly Detection

25 September 2023

Georgios Kaissis

Benedikt Wiestler

Daniel Rückert

Papers citing "(Predictable) Performance Bias in Unsupervised Anomaly Detection"

8 / 8 papers shown

Title
Fairness-aware Anomaly Detection via Fair Projection F. Xiao Xiaoying Tang Jicong Fan 14 0 0 16 May 2025
Denoising Diffusion Models for Anomaly Localization in Medical Images Cosmin I. Bercea P. Cattin Julia A. Schnabel J. Wolleb DiffM MedIm 36 0 0 31 Oct 2024
Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging Emma A. M. Stanley Raissa Souza Anthony J. Winder Vedant Gulve Kimberly Amador Matthias Wilms Nils D. Forkert 32 11 0 03 Nov 2023
Unsupervised Pathology Detection: A Deep Dive Into the State of the Art I. Lagogiannis Felix Meissen Georgios Kaissis Daniel Rueckert OOD 90 18 0 01 Mar 2023
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set Roxana Daneshjou Kailas Vodrahalli R. Novoa Melissa Jenkins Weixin Liang ... Rachna Sahasrabudhe Johan A. C. Allerup Utako Okata-Karigane James Zou A. Chiou 50 217 0 15 Mar 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 117 448 0 26 Jan 2022
Towards Fair Deep Anomaly Detection Hongjing Zhang Ian Davidson FaML 52 39 0 29 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 243 4,469 0 23 Jan 2020