ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.12735
  4. Cited By
Simple statistical methods for unsupervised brain anomaly detection on
  MRI are competitive to deep learning methods

Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods

25 November 2020
Victor Saase
H. Wenz
T. Ganslandt
C. Groden
M. Maros
ArXivPDFHTML

Papers citing "Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods"

2 / 2 papers shown
Title
Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI
  Anomaly Detection
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
43
2
0
17 Jul 2024
Unsupervised Anomaly Localization with Structural Feature-Autoencoders
Unsupervised Anomaly Localization with Structural Feature-Autoencoders
Felix Meissen
Johannes C. Paetzold
Georgios Kaissis
Daniel Rueckert
MedIm
19
15
0
23 Aug 2022
1