{"as_of":"2026-08-19T17:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bb8713f09e17d9cbc262f6c56ea566a28b2ce674b41a5a7ecfac5a60c8bc137d","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:38:01.821549Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.04701/citation-record","integrity":"/paper/1908.04701/integrity","json":"/paper/1908.04701/citation-record.json","paper":"/paper/1908.04701"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.541485Z","title":null,"venue":null,"work_id":"6049b2cd-d10e-498a-965b-c432dc9e4c43","year":null},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.619481Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:2812b26b05c1fffcae90710f0c00dd05165c5319f77d5bbf45e2015b3b01a3f0","observation_id":"7c44afdd-1726-46b3-afeb-afc55a5e7cbe","resolution":{"observed_at":"2026-08-14T13:38:02.546714Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.522947Z","title":"Usage of bias field correction might improve the predictability of tissue intensities","venue":null,"work_id":"a99a9023-faa4-44fa-8a88-eed9ea061147","year":null},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.624432Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:18188449f7d25cc785c58ca13882e19c7ee81bedb26c8a4b656bfc77a7050369","observation_id":"420bc755-24cd-4846-a23b-da5289ba4cd3","resolution":{"observed_at":"2026-08-14T13:38:02.528601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.596920Z","title":"Comparative analysis showed that the framework produces comparable BM -detection accuracy with the state-of -art approaches validated for significantly larger lesions","venue":null,"work_id":"84179087-fdd8-4ebc-a233-fd5f515f78f3","year":2019},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.603473Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:25baddd4a1431f3d18af09b917f030a62a548004323cbfa124fca1b554273ac0","observation_id":"bb038cf8-5efd-4564-afef-03b488f5c4a0","resolution":{"observed_at":"2026-08-14T13:38:02.603128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.560653Z","title":"To our knowledge, no prior work focused on BM with volumes smaller than 500 mm 3","venue":null,"work_id":"90eda622-7967-4b55-9863-3af909efa3b7","year":null},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.613714Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:0db5b4027fbefcc671c61db11e84e7f9e9f01ca557ff7330d38f358d3e9e34fa","observation_id":"4cc66d09-9826-412c-98ba-8e469466acb3","resolution":{"observed_at":"2026-08-14T13:38:02.567232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.420032Z","title":"Computer-aided detection of metastatic brain tumors using magnetic resonance black-blood imaging,","venue":null,"work_id":"583ec41e-b796-4670-ab9a-405f49d76587","year":2013},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.654538Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:9da2b5d0c488d2186bb783177aac2016d3abf3af1d87612b36bf87bc1bdea222","observation_id":"9815cd7f-bf8a-457a-b031-fbfeb01c426b","resolution":{"observed_at":"2026-08-14T13:38:02.425462Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.505269Z","title":"Please note that the input volume’s edge length is used in model naming, such as CropNet - mm, where is the volume’s edge length in mm","venue":null,"work_id":"0d391ded-5906-43d9-be91-81db0f88f38c","year":null},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.629551Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:f082677c9e874d9609838128e2ea2a4320b463eb3f569b3770482264a7b5b8f8","observation_id":"5fe2322f-274b-4cf8-88a1-f18b2740c737","resolution":{"observed_at":"2026-08-14T13:38:02.510831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.487692Z","title":"Epidemiology of brain metastases,","venue":null,"work_id":"0d83bf64-93b3-4efa-86c6-57e6e85e0463","year":2012},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.635005Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:885f312f2bd2193ee2d1ab1c9435f63d7eaaf4d08aa697cfd4a6d069426cb55f","observation_id":"7a5b6e62-180b-4b3b-832c-ce18f2f0418b","resolution":{"observed_at":"2026-08-14T13:38:02.492737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.470394Z","title":"Computer-aided detection of brain metastases using a three -dimensional template-based matching algorithm,","venue":null,"work_id":"7075efd8-128b-4f93-87e6-027c961a138b","year":2014},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.639918Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:bd327ca08dc1a5ad54770d569114fadb8088d4be8645943528432e69bb798762","observation_id":"93f3182e-6fc9-4095-8d9e-a3c20d6f21dd","resolution":{"observed_at":"2026-08-14T13:38:02.475987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.453758Z","title":"Computer-aided detection of metastatic brain tumors using automated three -dimensional template matching,","venue":null,"work_id":"552ea2a8-c5ed-40f7-af76-e078640656fa","year":2010},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.644749Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:548a08d2d0431882d6b91c9689a636cb7185894dc32c2fdeeb0a2a08f96c7eaa","observation_id":"2dbc7feb-3347-4502-93d0-4ee2247b36ca","resolution":{"observed_at":"2026-08-14T13:38:02.459284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.436938Z","title":"An approach for compute r-aided detection of brain metastases in post -Gd T1-W MRI,","venue":null,"work_id":"e9469867-6827-41e6-8f60-8d2d08a05122","year":2012},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.649791Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:85e44eb491cdf93a2b7eaff37214a476c026376be2735d1a637b930994896fea","observation_id":"59bc3153-2934-4ca1-b4d8-d6d675f92f1a","resolution":{"observed_at":"2026-08-14T13:38:02.442474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.335620Z","title":"Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network,","venue":null,"work_id":"500d641d-3462-4567-8b8f-c3abbc8585a1","year":2018},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.683966Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:1b67d1f42557432ad0d73158390d5faa0cebb2aa4bdbc526658e571ebde56022","observation_id":"706ddd81-4399-48dc-a03b-65688fae9602","resolution":{"observed_at":"2026-08-14T13:38:02.340961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.403338Z","title":"3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models,","venue":null,"work_id":"5ccccbc5-dd59-449a-8c39-7574304c2ab4","year":2009},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.659856Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:7de8240d5262134d9ead46a13f5919890036b836a5fd26ad2bf11ea608bf2b5c","observation_id":"9441499f-9d52-4cad-814f-7c481bfcc04b","resolution":{"observed_at":"2026-08-14T13:38:02.408892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.387259Z","title":"Automated robust image segmentation: Level set method using nonnegative matrix factorization with application to brain MRI,","venue":null,"work_id":"864f202c-91a0-45d5-b4ca-9a9577314091","year":2016},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.664477Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:99d66788279ca93d42e4cc79e86f6613c590b50aea7edd06124d041e4102b0a4","observation_id":"0f870207-721e-49f8-83e5-71e3687e4e50","resolution":{"observed_at":"2026-08-14T13:38:02.392772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.579607Z","title":"The system yielded an average Dice similarity coefficient of 0.67, where the detection false- positive rate in connection to the sensitivity percentage is not reported","venue":null,"work_id":"bc14e03d-fafb-4c3f-9c46-9541fe2d3acf","year":null},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.608821Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:aaeaab55dfbcd12e41ee7c6a43d64f9d68470ddfeac3849730cd12f9ecf262ca","observation_id":"3aee52cf-0fde-4228-b18b-6affe1d86c96","resolution":{"observed_at":"2026-08-14T13:38:02.585675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.369309Z","title":"Computerized detection of metastatic brain tumors on contrast- enhanced 3D MR images by using a selective enhancement filter,","venue":null,"work_id":"2325d11c-63ce-4165-83bb-1b99e577ec79","year":2009},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.669178Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:e5d8a2759acd5d09dc09cf8d120075ca99b0638a39e15b5fd595bfd40c3154d9","observation_id":"c901ade8-e123-46f7-b82f-697553ad389f","resolution":{"observed_at":"2026-08-14T13:38:02.375173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.02629","last_updated":"2019-04-23T13:35:04Z","snapshot_observed_at":"2026-08-14T18:04:24.261590Z","submitted_at":"2018-11-05T05:10:18Z","title":"Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.02629","snapshot_observed_at":"2026-08-14T13:38:01.673867Z","title":"Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.673867Z"},"links":{"cited_paper":"/paper/1811.02629","citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:7b522170288373e9d5167744d003f56a0e622af180594d31b1127d718f2c6ad5","observation_id":"a8b8115a-d7aa-4937-bb8c-363d415efbf1","resolution":{"observed_at":"2026-08-14T13:38:01.673867Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.352305Z","title":"Detection and segmentation of brain metastases with deep convolutional networks,","venue":null,"work_id":"f2f7c1aa-de42-4b00-a453-032144d41f35","year":2015},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.679293Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:f719f1394a3301416709efdab4c0140d5099c9ac1b3467e182008d206f533b31","observation_id":"a8f9cd2d-2732-494e-a30b-d03d6eeebc30","resolution":{"observed_at":"2026-08-14T13:38:02.357636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.318751Z","title":"Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation,","venue":null,"work_id":"591a6539-44ef-46b8-b53d-3ce702217ef3","year":2017},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.688639Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:3d35b1afcaeab19bf5f108401422a8deae836346237e9a24fad80320f2094cce","observation_id":"b63c6c74-22d2-4420-9e4a-7c52837feca8","resolution":{"observed_at":"2026-08-14T13:38:02.323996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.301345Z","title":"A deep convolutional neural network -based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery,","venue":null,"work_id":"e307c010-7ea9-4059-9b06-ab0dc8620e2e","year":2017},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.693536Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:32a8fe0cef7416dfe12a0fb06721818a0012b3d8c08e05565c6ddcfc9fc5c01d","observation_id":"388de13a-7b36-4f17-9caa-cad339e4f35b","resolution":{"observed_at":"2026-08-14T13:38:02.307320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.284217Z","title":"The multimodal brain tumor image segmentation benchmark (BRATS),","venue":null,"work_id":"f57c758a-2ac6-467f-b5d0-1c01f0f8539a","year":1993},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.698977Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:79c69f4e2ab47182066a501e3ac6407a0456831ef03178190cb467c67ffb435a","observation_id":"533cf8ae-3ab5-4a4e-95e0-15e246bf53f0","resolution":{"observed_at":"2026-08-14T13:38:02.289590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.07988","last_updated":"2019-03-18T09:48:42Z","snapshot_observed_at":"2026-08-14T17:00:51.807121Z","submitted_at":"2019-03-18T09:48:42Z","title":"Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI","version":1},"cited_work":{"arxiv_id":"1903.07988","doi":null,"metadata_source":"pith","pith_arxiv_id":"1903.07988","snapshot_observed_at":"2026-08-14T13:38:01.875969Z","title":"Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI","venue":"eess.IV","work_id":"ac521374-c81f-4660-9623-eaeea401e9f0","year":2019},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.703903Z"},"links":{"cited_paper":"/paper/1903.07988","citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:fd35c9f530b9784f32642e0d7812d838fa92039ecafc6c30982450c27412c1d6","observation_id":"f3b953a8-43a1-4170-8f68-ee45535978eb","resolution":{"observed_at":"2026-08-14T13:38:01.883999Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.267523Z","title":"Going deeper with convolutions,","venue":null,"work_id":"32fe02eb-b161-42ea-8a5c-6ca7940f354e","year":2015},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.709408Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:35f030b604dd90447e6c9863ee2b717f001ad7e07c1654d19d6d610ecffe43de","observation_id":"4bdadbca-7ef7-40f7-a453-02a330e8016a","resolution":{"observed_at":"2026-08-14T13:38:02.272913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.250345Z","title":"Whole brain radiotherapy for brain metastasis,","venue":null,"work_id":"b473ce3a-0d86-47c6-bdd0-8547e7c92c30","year":2013},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.714573Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:04fa061f183675ca946d834e33710e901bcd3576a5ad77435d3266eecb82ea31","observation_id":"262d923a-6c50-40f8-8fa3-3bd677ee4ae8","resolution":{"observed_at":"2026-08-14T13:38:02.255732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.232800Z","title":"Image matching using generalized scale -space interest points,","venue":null,"work_id":"fcbe663a-af5f-481e-a790-59b8a084655b","year":2015},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.719585Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:2b330fa37e8c44470a8061cef326fb63c455eb7be207fc3608e334b5fba33ebb","observation_id":"4beef227-fa3d-494c-8c72-ef3e301c2df4","resolution":{"observed_at":"2026-08-14T13:38:02.237805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.216366Z","title":"Scale selection properties of generalized scale- space interest point detectors,","venue":null,"work_id":"4221926f-7fd5-441b-8a36-bc8bd7364fb7","year":2013},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.724668Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:ca76b2ace0aec051aa76c3bafec9ea65b4f752c027dfc620be496077a2fa31ce","observation_id":"6ea4838a-acc8-4810-b8f2-e10924e1437a","resolution":{"observed_at":"2026-08-14T13:38:02.221694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.200058Z","title":"3D blob based brain tumor detection and segmentation in MR images,","venue":null,"work_id":"16e81552-0483-4fdb-a2a8-c62f945142f3","year":2014},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.730668Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:a0cffbc2bf24c07163998ec44557b223558adab1868ccf51b792a35443317342","observation_id":"8f124912-8d01-4be7-9fea-1ef50a7f8cbe","resolution":{"observed_at":"2026-08-14T13:38:02.205760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.185199Z","title":"Machine learning and radiology,","venue":null,"work_id":"54927626-9166-4f24-b60e-59575b5437ce","year":2012},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.735470Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:82923f9d9eeea4558bd10b130a187a1aeef78057dd5dac7e6218dcdc7f0d5aae","observation_id":"7c82e2da-c264-4b8e-ae7f-3a9f488313ae","resolution":{"observed_at":"2026-08-14T13:38:02.189999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.170694Z","title":"V -net: Fully convolutional neural networks for volumetric medical image segmentation,","venue":null,"work_id":"550e9b3e-3174-41bc-92d6-6ddcade51ecf","year":2016},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.740245Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:32ae1fd403cfc0df4544de12160b1c88c7e2af93f0ccd081691a47fb01f16a18","observation_id":"b7b1c3b8-5e0d-4c62-81ed-e8d961dfac6a","resolution":{"observed_at":"2026-08-14T13:38:02.175499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.155702Z","title":"Discriminative unsupervised feature learning with exemplar convolutional neural networks,","venue":null,"work_id":"7fa0f550-6c1e-4019-a0a7-150c362badb9","year":2015},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.744926Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:c2efa634d4990204754605a7dc9a141b099b44b1be9b03812c13d4718e6cbe21","observation_id":"f85c55d9-243c-47b3-b60f-9c4fe226ed86","resolution":{"observed_at":"2026-08-14T13:38:02.160567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.140736Z","title":"U -net: Convolutional networks for biomedical image segmentation,","venue":null,"work_id":"fce8c390-7eb9-49cc-b51c-80836504d235","year":2015},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.749538Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:2e16b8fcfce375dc08d08ddaa6990d68c720f30f79b16ca8c3c2b24116d36884","observation_id":"9d5e9f8a-823b-4954-83f1-55b3c0431fb6","resolution":{"observed_at":"2026-08-14T13:38:02.145703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.126266Z","title":"Best practices for convolutional neural networks appli ed to visual document analysis,","venue":null,"work_id":"a22e6062-f851-4c7a-baae-e6ef9073f7df","year":2003},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.754197Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:ebe8a1bb06dc32799dc86bd793603ada06425fde71f3f2addc20bf148dfee0cc","observation_id":"24181484-c328-4c6c-bf13-c2f015189a91","resolution":{"observed_at":"2026-08-14T13:38:02.131094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.111248Z","title":"Tissue-based MRI intensity standardization: Application to multicentric datasets,","venue":null,"work_id":"a11098ed-332c-4f79-a503-bc0470f169cf","year":2012},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.759004Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:bc78b3c9778d6baad4075bfe2b52470932e8e5788ef834f3691aa6f5375e6bee","observation_id":"9c3e8d93-a60b-4288-b0a3-ba710d25f8d9","resolution":{"observed_at":"2026-08-14T13:38:02.116208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.094529Z","title":"Evaluating intensity normalization on MRIs of human brain with multiple sclerosis,","venue":null,"work_id":"77f0db46-4be2-4a53-87bb-f351dce396ec","year":2011},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.763660Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:55a85529f932ea304240c9f2b023c87debd0a636021cab5a105ff7e169110fba","observation_id":"e640f3d9-90a0-4f73-966d-277241506282","resolution":{"observed_at":"2026-08-14T13:38:02.100519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.078196Z","title":"Normalization of brain magnetic resonance images using histogram even-order derivative analysis,","venue":null,"work_id":"fee23fb5-e647-44d9-ae61-2599be88d8e9","year":2003},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.768030Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:4733690a21c9f86c34745ac4838dfb8a0ae7733de3e14f0acdcce95154552c78","observation_id":"2a56b06e-bed1-4d63-90af-dc6d36e78aea","resolution":{"observed_at":"2026-08-14T13:38:02.084302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.062879Z","title":"Comparison between intensity normalization techniques for dynamic susceptibility contrast (DSC) -MRI estimates of cerebral blood volume (CBV) in human gliomas,","venue":null,"work_id":"c8f04e9e-8157-4388-b56e-9a1f4f2e57b2","year":2012},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.773202Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:9f3c56361368b13a102fd49eae7c818d61ed81f165f2cb3eb04b3db69bf5d996","observation_id":"2c08e165-e780-4675-9452-7ff70803e762","resolution":{"observed_at":"2026-08-14T13:38:02.067957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.047620Z","title":"New variants of a method of MRI scale standardization,","venue":null,"work_id":"cde276a0-c258-47ac-870e-8dd571274570","year":2000},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.778127Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:3f49a7713e526c54f4ab4f3d0af3a2476983c5bdd434f997323925e4575dfd88","observation_id":"6631d075-9469-49fb-8da5-1fef82d342be","resolution":{"observed_at":"2026-08-14T13:38:02.052621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.031660Z","title":"Patch based intensity normalization of brain MR images,","venue":null,"work_id":"6c8793a6-b1c5-4b78-81cf-d61ba224e6d5","year":2013},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.782758Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:7d2040f72ddd100ef577034ef6edc9598465311f535268a6236300e476c4ec0e","observation_id":"c6a20e6e-4255-4786-a185-b3ed65d1ba23","resolution":{"observed_at":"2026-08-14T13:38:02.036819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.03702","last_updated":"2017-03-10T14:39:11Z","snapshot_observed_at":"2026-08-14T21:12:28.530061Z","submitted_at":"2017-03-10T14:39:11Z","title":"Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.03702","snapshot_observed_at":"2026-08-14T13:38:01.787327Z","title":"Data-driven color augmentation techniques for deep skin image analysis,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.787327Z"},"links":{"cited_paper":"/paper/1703.03702","citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:dfdcae7d4e3182f4a5631c764edcf50794946575d64ec0756947d046eb52a663","observation_id":"ae28b156-0600-4bbd-98c6-0f858c0d0aca","resolution":{"observed_at":"2026-08-14T13:38:01.787327Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:02.013883Z","title":"Understanding the difficulty of training deep feedforward neural networks,","venue":null,"work_id":"950e25db-d313-438a-89c3-0df9ea45f8d7","year":2010},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.792377Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:c107d90d98896006d3cb6a26b3e49d3806d2cb34bed613333f5ab3c891e444aa","observation_id":"b58388b1-bc59-4ba0-9bcc-53e1e850dbf7","resolution":{"observed_at":"2026-08-14T13:38:02.020544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:01.996864Z","title":"A user interface for optimizing radiologist engagement in image- data curation for artificial intelligence,","venue":null,"work_id":"82020d52-a175-40bf-97c3-47ed7d363602","year":null},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.797019Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:3f89ba7d5a6a3d295c470286939a0be6de3a679539dea763348ec6850fe2979e","observation_id":"dd075a05-2c73-4d34-95f6-fec4e10d74fe","resolution":{"observed_at":"2026-08-14T13:38:02.002356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:01.979424Z","title":"Mutual - information-based registration of medical images: A survey,","venue":null,"work_id":"f309c17b-b0ed-4247-a452-1fa5aa49e09f","year":2003},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.802334Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:06c6cd70f135952418fd235e1faaf1f293dc3d170fcb84b39ce59c7e60882453","observation_id":"0073e897-8c49-4edd-b58e-07afdcac44ad","resolution":{"observed_at":"2026-08-14T13:38:01.984702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:01.963493Z","title":"Machine learning for medical imagin g,","venue":null,"work_id":"21a6f4fb-512f-4f96-a057-cb21d3020035","year":2017},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.806988Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:e9af1428b8d986ee309d8785117b4e0a47f337778b58b048a74866805f587cb6","observation_id":"fe79abe1-92f5-45b2-a4cb-f80d2e8988ed","resolution":{"observed_at":"2026-08-14T13:38:01.968593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:01.947507Z","title":"Hyperparameter importance across datasets,","venue":null,"work_id":"8361f13f-e82e-4bd5-ac2f-012e4a385852","year":2018},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.812058Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:cb9c07a94d5e3348e2152739d4da64bc370e162a6a2fd452a8a9ee305d68f046","observation_id":"588bf3f4-05f3-4b4e-97cf-b1cb505d1f3b","resolution":{"observed_at":"2026-08-14T13:38:01.952831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:01.931527Z","title":"Me trics for evaluating 3D medical image segmentation: Analysis, selection, and tool,","venue":null,"work_id":"1c265974-4a61-4efb-98f7-894cc40df9bf","year":2015},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.817074Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:f3947e4e3707ea80cf6bcd299a689a46cd747d55aa6d6de281c3be92a1597618","observation_id":"0fead425-2f16-468a-aed1-091eee83f4e6","resolution":{"observed_at":"2026-08-14T13:38:01.936690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:38:01.915398Z","title":"Kernel Density Estimation and Classification,","venue":null,"work_id":"d888e103-79fa-4e21-9fe5-5ee17da98509","year":2009},"citing_paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T13:38:01.821549Z"},"links":{"citing_paper":"/paper/1908.04701"},"observation_digest":"sha256:49dae3c377bbaca2736c4f35283d532f6231d8f520eb41758c66249f090ebe14","observation_id":"4bf75d58-b008-4795-9025-fd206ce92540","resolution":{"observed_at":"2026-08-14T13:38:01.920736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.04701","last_updated":"2019-08-13T15:24:51Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-15T02:04:25.694033Z","submitted_at":"2019-08-13T15:24:51Z","title":"Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":41},"total_outbound_references":45},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:1908.04701."}