{"id":13036,"date":"2026-06-07T15:00:00","date_gmt":"2026-06-07T12:00:00","guid":{"rendered":"https:\/\/umram.bilkent.edu.tr\/?p=13036"},"modified":"2026-10-28T16:41:02","modified_gmt":"2026-10-28T13:41:02","slug":"new-publication-in-neuroimage-microkan-mapping-human-brain-microstructure-using-diffusion-mri-and-adaptive-nonlinear-modeling","status":"publish","type":"post","link":"https:\/\/umram.bilkent.edu.tr\/index.php\/2026\/06\/07\/new-publication-in-neuroimage-microkan-mapping-human-brain-microstructure-using-diffusion-mri-and-adaptive-nonlinear-modeling\/","title":{"rendered":"New publication in NeuroImage: MicroKAN: Mapping human brain microstructure using diffusion MRI and adaptive nonlinear modeling"},"content":{"rendered":"<p>Tolga \u00c7ukur and colleagues have published \u201cMicroKAN: Mapping human brain microstructure using diffusion MRI and adaptive nonlinear modeling\u201d in NeuroImage (June 2026).<\/p>\n<p class=\"paper-summary\">Diffusion MRI can reveal the fine structure of brain tissue, but conventional analysis needs long scans and heavy computation. The paper presents MicroKAN, a deep learning framework based on Kolmogorov-Arnold Networks that maps diffusion signals to tissue properties and can be trained with or without reference data. Shorter scans and faster analysis could make these detailed brain measurements more practical in research and in the clinic.<\/p>\n<p>Authors: Yifei Chen, Zihan Li, Yuanhan Wang, Yijin Li, Jialan Zheng, Hongjia Yang, Mingxuan Liu, <strong>Tolga \u00c7ukur<\/strong>, Qiuyun Fan, Ziyu Li, Jie Lu, Qiyuan Tian<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1016\/j.neuroimage.2026.122032\" target=\"_blank\" rel=\"noopener\">Read the paper<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tolga \u00c7ukur and colleagues have published \u201cMicroKAN: Mapping human brain microstructure using diffusion MRI and adaptive nonlinear modeling\u201d in NeuroImage (June 2026). Diffusion MRI can reveal the fine structure of brain tissue, but conventional analysis needs long scans and heavy computation. The paper presents MicroKAN, a deep learning framework based on Kolmogorov-Arnold Networks that maps\u2026<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[256],"tags":[],"class_list":["post-13036","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/13036","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/comments?post=13036"}],"version-history":[{"count":2,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/13036\/revisions"}],"predecessor-version":[{"id":13218,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/posts\/13036\/revisions\/13218"}],"wp:attachment":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/media?parent=13036"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/categories?post=13036"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/tags?post=13036"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}