{"id":1688,"date":"2026-10-06T19:04:29","date_gmt":"2026-10-06T19:04:29","guid":{"rendered":"https:\/\/www.cs.ubbcluj.ro\/~meco\/transformer-based-anomaly-detection-for-neurodegenerative-screening-in-mri-images-2026\/"},"modified":"2026-10-06T19:28:18","modified_gmt":"2026-10-06T19:28:18","slug":"transformer-based-anomaly-detection-for-neurodegenerative-screening-in-mri-images-2026","status":"publish","type":"post","link":"https:\/\/www.cs.ubbcluj.ro\/~meco\/transformer-based-anomaly-detection-for-neurodegenerative-screening-in-mri-images-2026\/","title":{"rendered":"Transformer-Based Anomaly Detection for Neurodegenerative Screening in MRI Images. (2026)"},"content":{"rendered":"<div class=\"entry-content\">\n<p>International Journal of Neural Systems<\/p>\n<h2>Authors<\/h2>\n<p>Enol Garc\u00eda Gonz\u00e1lez, M\u0103d\u0103lina Dicu, Jos\u00e9 R. Villar, Camelia Chira<\/p>\n<h2>Abstract<\/h2>\n<p>The automatic detection of anomalies in medical images is a significant challenge in the assisted diagnosis of neurodegenerative diseases such as Alzheimer&#8217;s. This paper presents an anomaly detection model based on Transformers for the analysis of brain magnetic resonance images. The proposed architecture combines a Vision Transformer as an encoder with a memory bank module that allows modeling the distribution of healthy brains and detecting deviations through reconstruction error. The model is trained using a one-class learning approach, using only images considered normal, with the aim of learning the representation of normality and automatically flagging atypical structural patterns. To adapt volumetric studies to the architecture, a preprocessing procedure is designed that transforms three-dimensional information into a two-dimensional representation compatible with the model. The results obtained demonstrate a solid ability to characterize normality and generate reliable predictions, confirming the viability of Transformer-based architectures for unsupervised anomaly detection in neuroimaging. This approach lays the foundation for future extensions in clinical settings and other medical imaging applications.<\/p>\n<h2>Citation<\/h2>\n<pre class=\"wp-block-preformatted\">@Inproceedings{Gonz\u00e1lez2026TransformerBasedAD,\n author = {Enol Garc\u00eda Gonz\u00e1lez and M\u0103d\u0103lina Dicu and Jos\u00e9 R. Villar and Camelia Chira},\n booktitle = {International Journal of Neural Systems},\n title = {Transformer-Based Anomaly Detection for Neurodegenerative Screening in MRI Images.},\n year = {2026}\n}<\/pre>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>International Journal of Neural Systems Authors Enol Garc\u00eda Gonz\u00e1lez, M\u0103d\u0103lina Dicu, Jos\u00e9 R. Villar, Camelia Chira Abstract The automatic detection of anomalies in medical images is a significant challenge in the assisted diagnosis of neurodegenerative diseases such as Alzheimer&#8217;s. This paper presents an anomaly detection model based on Transformers for the analysis of brain magnetic&hellip;<\/p>\n","protected":false},"author":6,"featured_media":1716,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[11,37],"_links":{"self":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts\/1688"}],"collection":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/comments?post=1688"}],"version-history":[{"count":1,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts\/1688\/revisions"}],"predecessor-version":[{"id":1717,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts\/1688\/revisions\/1717"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/media\/1716"}],"wp:attachment":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/media?parent=1688"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/categories?post=1688"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/tags?post=1688"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}