{"id":988,"date":"2018-01-10T17:12:59","date_gmt":"2018-01-10T17:12:59","guid":{"rendered":"http:\/\/medgift.hevs.ch\/wordpress\/?page_id=988"},"modified":"2020-02-21T08:44:34","modified_gmt":"2020-02-21T08:44:34","slug":"mara-graziani","status":"publish","type":"page","link":"https:\/\/medgift.hevs.ch\/wordpress\/team\/mara-graziani\/","title":{"rendered":"Mara Graziani"},"content":{"rendered":"\n<div class=\"wp-block-image\"><figure class=\"alignleft\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"209\" src=\"https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2018\/01\/mara-300x209.png\" alt=\"\" class=\"wp-image-995\" srcset=\"https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2018\/01\/mara-300x209.png 300w, https:\/\/medgift.hevs.ch\/wordpress\/wp-content\/uploads\/2018\/01\/mara.png 600w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure><\/div>\n\n\n\n<p>I am Mara Graziani and I am a PhD candidate at the University of Geneva and Hes-so Valais.<\/p>\n\n\n\n<p>My career objective as a PhD student is to use clinically relevant measures to explain the decisions of machine learning systems for medical imaging and improve their interaction with physicians.<\/p>\n\n\n\n<p>I currently work on the EU Horizon2020 project <a href=\"https:\/\/www.process-project.eu\/\">PROCESS<\/a>, developing exascale solutions for medical imaging together with top-level High Performance Computing infrastructures and big data centres in Europe.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Contact Details<\/h2>\n\n\n\n<p>University of Applied Sciences Western Switzerland, Sierre (HES-SO)<br>Techno-P\u00f4le 3<br>3960 Sierre, Switzerland<br>Tel +41 27 606 9003<br>Fax +41 27 606 9000<\/p>\n\n\n\n<p>email: mara.graziani at hevs.ch<\/p>\n\n\n\n<p>\n<a class=\"social-link\" target=\"_blank\" title=\"LinkedIn\" href=\"https:\/\/www.linkedin.com\/in\/mara-graziani-878980105\/\" rel=\"noopener noreferrer\"><i class=\"fab fa-linkedin fa-2x\"><\/i><\/a>\n<a class=\"social-link\" target=\"_blank\" title=\"ResearchGate\" href=\"https:\/\/www.researchgate.net\/profile\/Mara_Graziani\" rel=\"noopener noreferrer\"><i class=\"fab fa-researchgate fa-2x\"><\/i><\/a>\n<a class=\"social-link\" target=\"_blank\" title=\"Google Scholar\" href=\"https:\/\/scholar.google.ch\/citations?user=aSOhI_8AAAAJ&#038;hl=it\" rel=\"noopener noreferrer\"><i class=\"ai ai-google-scholar-square ai-2x\"><\/i><\/a>\n<a class=\"social-link\" target=\"_blank\" title=\"Medium\" href=\"https:\/\/medium.com\/@maragraziani\" rel=\"noopener noreferrer\"><i class=\"fab fa-medium fa-2x\"><\/i><\/a>\n<a class=\"social-link\" target=\"_blank\" title=\"Twitter\" href=\"https:\/\/twitter.com\/mormontre\" rel=\"noopener noreferrer\"><i class=\"fab fa-twitter-square fa-2x\"><\/i><\/a>\n<a class=\"social-link\" target=\"_blank\" title=\"Facebook\" href=\"https:\/\/www.facebook.com\/grazianimara\" rel=\"noopener noreferrer\"><i class=\"fab fa-facebook-square fa-2x\"><\/i><\/a>\n<a class=\"social-link\" target=\"_blank\" title=\"GitHub\" href=\"https:\/\/github.com\/maragraziani\" rel=\"noopener noreferrer\"><i class=\"fab fa-github-square fa-2x\"><\/i><\/a>\n<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Publications:<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"http:\/\/publications.hevs.ch\/index.php\/attachments\/single\/1281\">Graziani, M., Andrearczyk, V., &amp; M\u00fcller, H. (2018). Regression concept vectors for bidirectional explanations in histopathology. <\/a>In <i>Understanding and Interpreting Machine Learning in Medical Image Computing Applications<\/i> (pp. 124-132). Springer, Cham.<\/li><li><a href=\"http:\/\/publications.hevs.ch\/index.php\/publications\/show\/2514\">Graziani, M., Brown, J. M., Andrearczyk, V., Yildiz, V., Campbell, J. P., Erdogmus, D., Ioannidis, S.<\/a>,Chiang, M.F., Kalpathy-Cramer, J., &amp; M\u00fcller, H. (2019, March).&nbsp; Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. In <i>Medical Imaging 2019: Computer-Aided Diagnosis<\/i> (Vol. 10950, p. 109501R). International Society for Optics and Photonics.<\/li><li>Hluch\u00fd, L., Bob\u00e1k, M., M\u00fcller, H., Graziani, M., Maassen, J., Spreeuw, H., Heikkurinen, M., Pancake-Steeg, J., Spahr, S., vor dem Gentschen, Felde, N.O., &amp; H\u00f6b, M. (2020). <a href=\"http:\/\/publications.hevs.ch\/index.php\/publications\/show\/2513\">Heterogeneous Exascale Computing.<\/a> In <i>Recent Advances in Intelligent Engineering<\/i> (pp. 81-110). Springer, Cham.<\/li><\/ul>\n\n\n\n<p><a href=\"http:\/\/publications.hevs.ch\/index.php\/authors\/show\/2097\">List of publications<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Research Interests<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li>Deep Learning<\/li><li>Large Scale Machine Learning<\/li><li>Medical Image data<\/li><li>Statistical Modeling on time series data<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Projects<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/medgift.hevs.ch\/wordpress\/projects\/process\/\">PROCESS<\/a><\/li><\/ul>\n","protected":false},"excerpt":{"rendered":"<p>I am Mara Graziani and I am a PhD candidate at the University of Geneva and Hes-so Valais. My career objective as a PhD student is to use clinically relevant measures to explain the decisions of machine learning systems for medical imaging and improve their interaction with physicians. I currently work on the EU Horizon2020 &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/medgift.hevs.ch\/wordpress\/team\/mara-graziani\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Mara Graziani&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":237,"menu_order":6,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-988","page","type-page","status-publish","hentry"],"jetpack_shortlink":"https:\/\/wp.me\/P8AP2d-fW","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/pages\/988","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/comments?post=988"}],"version-history":[{"count":9,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/pages\/988\/revisions"}],"predecessor-version":[{"id":1776,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/pages\/988\/revisions\/1776"}],"up":[{"embeddable":true,"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/pages\/237"}],"wp:attachment":[{"href":"https:\/\/medgift.hevs.ch\/wordpress\/wp-json\/wp\/v2\/media?parent=988"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}