{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/robust-registration-of-calcium-images-by","title":"Robust Registration of Calcium Images by Learned Contrast Synthesis","arxiv_id":"1511.01154","date":"2015-11-03","proceeding":null,"authors":["John A. Bogovic","Philipp Hanslovsky","Allan Wong","Stephan Saalfeld"],"abstract":"Multi-modal image registration is a challenging task that is vital to fuse\ncomplementary signals for subsequent analyses. Despite much research into cost\nfunctions addressing this challenge, there exist cases in which these are\nineffective. In this work, we show that (1) this is true for the registration\nof in-vivo Drosophila brain volumes visualizing genetically encoded calcium\nindicators to an nc82 atlas and (2) that machine learning based contrast\nsynthesis can yield improvements. More specifically, the number of subjects for\nwhich the registration outright failed was greatly reduced (from 40% to 15%) by\nusing a synthesized image.","url_abs":"http://arxiv.org/abs/1511.01154v1","url_pdf":"http://arxiv.org/pdf/1511.01154v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"robust-registration-of-calcium-images-by","repo_url":"https://github.com/saalfeldlab/bigwarp","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"image-registration","task_name":"Image Registration"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}