Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain
MRI

Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI

23 June 2020

Benedikt Wiestler

Shadi Albarqouni

Nassir Navab

Papers citing "Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI"

6 / 6 papers shown

Title
Guided Reconstruction with Conditioned Diffusion Models for Unsupervised Anomaly Detection in Brain MRIs F. Behrendt Debayan Bhattacharya R. Mieling Lennart Maack Julia Kruger R. Opfer Alexander Schlaefer DiffM MedIm 14 10 0 07 Dec 2023
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection M. Astaraki F. Benetti Yousef Yeganeh I. Toma-Dasu Orjan Smedby Chunliang Wang Nassir Navab T. Wendler 8 6 0 21 May 2023
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI Ayantika Das Arun Palla Keerthi Ram M. Sivaprakasam OOD 11 1 0 28 Nov 2022
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods Matthew Baugh Jeremy Tan Athanasios Vlontzos Johanna P. Müller Bernhard Kainz OOD 16 2 0 02 Sep 2022
On the Pitfalls of Using the Residual Error as Anomaly Score Felix Meissen Benedikt Wiestler Georgios Kaissis Daniel Rueckert UQCV 18 11 0 08 Feb 2022
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation Dejan Štepec D. Skočaj MedIm 27 12 0 28 Apr 2021