<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.7910/DVN/G6VLZN</identifier><creators><creator><creatorName nameType="Personal">Schoppe, Oliver</creatorName><givenName>Oliver</givenName><familyName>Schoppe</familyName><affiliation>Technische Universität München (TUM)</affiliation></creator></creators><titles><title>AIMOS - pre-trained models</title></titles><publisher>Harvard Dataverse</publisher><publicationYear>2020</publicationYear><subjects><subject>Computer and Information Science</subject><subject>Medicine, Health and Life Sciences</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Personal">Schoppe, Oliver</contributorName><givenName>Oliver</givenName><familyName>Schoppe</familyName><affiliation>Technische Universität München (TUM)</affiliation></contributor></contributors><dates><date dateType="Submitted">2020-04-27</date><date dateType="Updated">2020-04-28</date></dates><resourceType resourceTypeGeneral="Dataset"/><sizes><size>141751101</size><size>141751101</size><size>141750969</size></sizes><formats><format>application/octet-stream</format><format>application/octet-stream</format><format>application/octet-stream</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</rights></rightsList><descriptions><description descriptionType="Abstract">Pre-trained models for AIMOS &#xd;
* Unet768 for native micro-CT&#xd;
* Unet768 for contrast-enhanced micro-CT&#xd;
* Unet768 for light-sheet microscopy</description></descriptions><geoLocations/></resource>