On the Pitfalls of Using the Residual Error as Anomaly Score

On the Pitfalls of Using the Residual Error as Anomaly Score

8 February 2022

Benedikt Wiestler

Georgios Kaissis

Daniel Rueckert

Papers citing "On the Pitfalls of Using the Residual Error as Anomaly Score"

8 / 8 papers shown

Title
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection F. Behrendt Debayan Bhattacharya R. Mieling Lennart Maack Julia Kruger R. Opfer Alexander Schlaefer 33 2 0 17 Jul 2024
Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection F. Behrendt Debayan Bhattacharya Lennart Maack Julia Kruger R. Opfer R. Mieling Alexander Schlaefer MedIm 19 3 0 21 Mar 2024
Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks Matthew Baugh Jeremy Tan Johanna P. Müller Mischa Dombrowski James Batten Bernhard Kainz OOD 17 6 0 03 Jul 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 18 3 0 26 Jun 2023
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection Cosmin I. Bercea Benedikt Wiestler Daniel Rueckert J. Schnabel DiffM MedIm 10 18 0 15 Mar 2023
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images Daria Frolova A. Vasiliuk Mikhail Belyaev B. Shirokikh OOD 22 1 0 13 Dec 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Yu Cai Hao Chen Xin Yang Yu Zhou Kwang-Ting Cheng 20 45 0 09 Oct 2022
Constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 11 23 0 03 Mar 2022