{"id":175,"date":"2019-07-15T05:13:00","date_gmt":"2019-07-15T05:13:00","guid":{"rendered":"https:\/\/mri.sbollmann.net\/?p=175"},"modified":"2020-06-09T05:23:26","modified_gmt":"2020-06-09T05:23:26","slug":"deepqsm-using-deep-learning-to-solve-the-dipole-inversion-for-quantitative-susceptibility-mapping","status":"publish","type":"post","link":"https:\/\/mri.sbollmann.net\/index.php\/2019\/07\/15\/deepqsm-using-deep-learning-to-solve-the-dipole-inversion-for-quantitative-susceptibility-mapping\/","title":{"rendered":"DeepQSM &#8211; using deep learning to solve the dipole inversion for quantitative susceptibility mapping"},"content":{"rendered":"\n<p>Our latest paper on applying Deep Learning to solve QSM was published in Neuroimage: <a rel=\"noreferrer noopener\" href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811919302605\" target=\"_blank\">http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811919302605<\/a><\/p>\n\n\n\n<p>The pre-print is here: <a rel=\"noreferrer noopener\" href=\"https:\/\/www.biorxiv.org\/content\/early\/2018\/03\/07\/278036\" target=\"_blank\">https:\/\/www.biorxiv.org\/content\/early\/2018\/03\/07\/278036<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.biorxiv.org\/content\/early\/2018\/03\/07\/278036\" target=\"_blank\" rel=\"noopener noreferrer\"><img loading=\"lazy\" decoding=\"async\" width=\"994\" height=\"771\" src=\"https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2020\/06\/image-9.png\" alt=\"\" class=\"wp-image-176\" srcset=\"https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2020\/06\/image-9.png 994w, https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2020\/06\/image-9-300x233.png 300w, https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2020\/06\/image-9-768x596.png 768w\" sizes=\"auto, (max-width: 994px) 100vw, 994px\" \/><\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Our latest paper on applying Deep Learning to solve QSM was published in Neuroimage: http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811919302605 The pre-print is here: https:\/\/www.biorxiv.org\/content\/early\/2018\/03\/07\/278036<\/p>\n","protected":false},"author":1,"featured_media":176,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,22,13,14],"tags":[],"class_list":["post-175","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-deep-learning","category-deepqsm","category-publications","category-quantitative-susceptibility-mapping"],"jetpack_featured_media_url":"https:\/\/mri.sbollmann.net\/wp-content\/uploads\/2020\/06\/image-9.png","_links":{"self":[{"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/posts\/175","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/comments?post=175"}],"version-history":[{"count":2,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/posts\/175\/revisions"}],"predecessor-version":[{"id":178,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/posts\/175\/revisions\/178"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/media\/176"}],"wp:attachment":[{"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/media?parent=175"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/categories?post=175"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mri.sbollmann.net\/index.php\/wp-json\/wp\/v2\/tags?post=175"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}