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"

7 / 7 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 25 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 20 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 16 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 21 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 29 11 0 08 Feb 2022
StRegA: Unsupervised Anomaly Detection in Brain MRIs using a Compact Context-encoding Variational Autoencoder S. Chatterjee Alessandro Sciarra M. Dünnwald Pavan Tummala Shubham Agrawal Aishwarya Jauhari Aman Kalra S. Oeltze-Jafra Oliver Speck A. Nürnberger DRL 31 16 0 31 Jan 2022
Unsupervised Detection of Cancerous Regions in Histology Imagery using Image-to-Image Translation Dejan Štepec D. Skočaj MedIm 35 12 0 28 Apr 2021