A review of deep learning-based Unsupervised Anomaly Detection in brain MRI.
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| Title: | A review of deep learning-based Unsupervised Anomaly Detection in brain MRI. |
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| Authors: | Behrendt F; Hamburg University of Technology, Am Schwarzenberg-Campus 1, Hamburg, 21073, Germany. Electronic address: finn.behrendt@tuhh.de., Bhattacharya D; Hamburg University of Technology, Am Schwarzenberg-Campus 1, Hamburg, 21073, Germany., Maack L; Hamburg University of Technology, Am Schwarzenberg-Campus 1, Hamburg, 21073, Germany., Krüger J; Jung Diagnostics GmbH, Röntgenstraße 24, Hamburg, 22335, Germany., Opfer R; Jung Diagnostics GmbH, Röntgenstraße 24, Hamburg, 22335, Germany., Schlaefer A; Hamburg University of Technology, Am Schwarzenberg-Campus 1, Hamburg, 21073, Germany. |
| Source: | Medical image analysis [Med Image Anal] 2026 Jul; Vol. 112, pp. 104076. Date of Electronic Publication: 2026 Apr 15. |
| Publication Type: | Journal Article; Review; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1361-8423 |
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| DOI: | 10.1016/j.media.2026.104076 |
