{"action":"closed","issue":{"url":"https://api.github.com/repos/stefanknegt/probabilistic_unet_pytorch/issues/1","repository_url":"https://api.github.com/repos/stefanknegt/probabilistic_unet_pytorch","labels_url":"https://api.github.com/repos/stefanknegt/probabilistic_unet_pytorch/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/stefanknegt/probabilistic_unet_pytorch/issues/1/comments","events_url":"https://api.github.com/repos/stefanknegt/probabilistic_unet_pytorch/issues/1/events","html_url":"https://github.com/stefanknegt/probabilistic_unet_pytorch/issues/1","id":390593455,"node_id":"MDU6SXNzdWUzOTA1OTM0NTU=","number":1,"title":"Results","user":{"login":"justusschock","id":12886177,"node_id":"MDQ6VXNlcjEyODg2MTc3","avatar_url":"https://avatars1.githubusercontent.com/u/12886177?v=4","gravatar_id":"","url":"https://api.github.com/users/justusschock","html_url":"https://github.com/justusschock","followers_url":"https://api.github.com/users/justusschock/followers","following_url":"https://api.github.com/users/justusschock/following{/other_user}","gists_url":"https://api.github.com/users/justusschock/gists{/gist_id}","starred_url":"https://api.github.com/users/justusschock/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/justusschock/subscriptions","organizations_url":"https://api.github.com/users/justusschock/orgs","repos_url":"https://api.github.com/users/justusschock/repos","events_url":"https://api.github.com/users/justusschock/events{/privacy}","received_events_url":"https://api.github.com/users/justusschock/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-12-13T09:39:30Z","updated_at":"2018-12-13T16:23:30Z","closed_at":"2018-12-13T16:23:30Z","author_association":"NONE","body":"Hi,\r\n\r\nfirst of all: The implementation looks really nice. Did you run any trainings and are your results comparable to the ones mentioned in the paper?\r\n\r\nThanks!\r\nJustus"}}
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