{"id":13351,"date":"2026-11-02T13:28:07","date_gmt":"2026-11-02T10:28:07","guid":{"rendered":"https:\/\/umram.bilkent.edu.tr\/index.php\/software\/"},"modified":"2026-11-02T14:29:07","modified_gmt":"2026-11-02T11:29:07","slug":"software","status":"publish","type":"page","link":"https:\/\/umram.bilkent.edu.tr\/index.php\/software\/","title":{"rendered":"Software"},"content":{"rendered":"<p class=\"lead\">Open-source code released by UMRAM research groups. Most repositories accompany published papers.<\/p>\n<section class=\"sw-lab\">\n<h2>ICON Lab<\/h2>\n<p class=\"sw-meta\">Tolga \u00c7ukur \u00b7 37 repositories<\/p>\n<p>Deep learning methods for medical imaging: MRI reconstruction, multi-modal image synthesis, diffusion and state-space models, and medical vision-language models.<\/p>\n<ul class=\"link-list\">\n<li><a href=\"https:\/\/github.com\/icon-lab\" target=\"_blank\" rel=\"noopener\">All repositories on GitHub<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/icon-lab\/SynDiff\" target=\"_blank\" rel=\"noopener\">SynDiff adversarial diffusion for image synthesis<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/icon-lab\/ResViT\" target=\"_blank\" rel=\"noopener\">ResViT residual vision transformers for synthesis<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/icon-lab\/I2I-Mamba\" target=\"_blank\" rel=\"noopener\">I2I-Mamba state-space image-to-image translation<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/icon-lab\/FDB\" target=\"_blank\" rel=\"noopener\">FDB Fourier-constrained diffusion bridges for MRI<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/icon-lab\/MambaRoll\" target=\"_blank\" rel=\"noopener\">MambaRoll physics-driven MRI reconstruction<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/icon-lab\/MedTrim\" target=\"_blank\" rel=\"noopener\">MedTrim aligning medical vision-language models<\/a><\/li>\n<\/ul>\n<\/section>\n<section class=\"sw-lab\">\n<h2>Aykut Ko\u00e7 Lab<\/h2>\n<p class=\"sw-meta\">Aykut Ko\u00e7 \u00b7 41 repositories<\/p>\n<p>Machine learning and signal processing, extending into natural language processing, graph neural networks and the fractional Fourier transform.<\/p>\n<ul class=\"link-list\">\n<li><a href=\"https:\/\/github.com\/koc-lab\" target=\"_blank\" rel=\"noopener\">All repositories on GitHub<\/a><\/li>\n<li><a href=\"https:\/\/huggingface.co\/KocLab-Bilkent\" target=\"_blank\" rel=\"noopener\">Models and datasets on Hugging Face<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/koc-lab\/MTSIT\" target=\"_blank\" rel=\"noopener\">MTSIT multivariate time series imputation<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/koc-lab\/TrainableFrFT\" target=\"_blank\" rel=\"noopener\">TrainableFrFT trainable fractional Fourier transform<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/koc-lab\/law-turk\" target=\"_blank\" rel=\"noopener\">law-turk predicting Turkish court decisions<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/koc-lab\/scHyperLink\" target=\"_blank\" rel=\"noopener\">scHyperLink gene regulation with hypergraph networks<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/koc-lab\/BitTransGNN\" target=\"_blank\" rel=\"noopener\">BitTransGNN quantized transformers with graph networks<\/a><\/li>\n<\/ul>\n<\/section>\n<section class=\"sw-lab\">\n<h2>Sar\u0131ta\u015f Lab<\/h2>\n<p class=\"sw-meta\">Emine \u00dclk\u00fc Sar\u0131ta\u015f \u00b7 1 repository<\/p>\n<p>Methods for magnetic particle imaging and MRI, including correction of susceptibility artifacts in echo planar imaging.<\/p>\n<ul class=\"link-list\">\n<li><a href=\"https:\/\/github.com\/saritas-lab\" target=\"_blank\" rel=\"noopener\">All repositories on GitHub<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/saritas-lab\/FD-Net\" target=\"_blank\" rel=\"noopener\">FD-Net unsupervised susceptibility artifact correction in EPI<\/a><\/li>\n<\/ul>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Open-source code released by UMRAM research groups. Most repositories accompany published papers. ICON Lab Tolga \u00c7ukur \u00b7 37 repositories Deep learning methods for medical imaging: MRI reconstruction, multi-modal image synthesis, diffusion and state-space models, and medical vision-language models. All repositories on GitHub SynDiff adversarial diffusion for image synthesis ResViT residual vision transformers for synthesis I2I-Mamba\u2026<\/p>\n","protected":false},"author":9,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-13351","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/pages\/13351","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/comments?post=13351"}],"version-history":[{"count":5,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/pages\/13351\/revisions"}],"predecessor-version":[{"id":13391,"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/pages\/13351\/revisions\/13391"}],"wp:attachment":[{"href":"https:\/\/umram.bilkent.edu.tr\/index.php\/wp-json\/wp\/v2\/media?parent=13351"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}