{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:28:34Z","timestamp":1740101314750,"version":"3.37.3"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,17]]},"DOI":"10.1109\/bigdata55660.2022.10020446","type":"proceedings-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T19:35:23Z","timestamp":1674761723000},"page":"5223-5232","source":"Crossref","is-referenced-by-count":0,"title":["Typhon: Parallel Transfer on Heterogeneous Datasets for Cancer Detection in Computer-Aided Diagnosis"],"prefix":"10.1109","author":[{"given":"Giuseppe","family":"Cuccu","sequence":"first","affiliation":[{"name":"University of Fribourg,eXascale Infolab,Fribourg,Switzerland"}]},{"given":"Christophe","family":"Broillet","sequence":"additional","affiliation":[{"name":"University of Fribourg,eXascale Infolab,Fribourg,Switzerland"}]},{"given":"Carolin","family":"Reischauer","sequence":"additional","affiliation":[{"name":"University of Fribourg,Department of Medicine,Fribourg,Switzerland"}]},{"given":"Harriet","family":"Thoeny","sequence":"additional","affiliation":[{"name":"Cantonal Hospital of Fribourg,Department of Radiology,Fribourg,Switzerland"}]},{"given":"Philippe","family":"Cudre-Mauroux","sequence":"additional","affiliation":[{"name":"University of Fribourg,eXascale Infolab,Fribourg,Switzerland"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378042"},{"key":"ref2","first-page":"1","article-title":"To transfer or not to transfer","volume-title":"NIPS 2005 workshop on transfer learning","volume":"898","author":"Rosenstein"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-60566-766-9.ch011"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/asi3020020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/aa93d4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2016.2573280"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5529-2_5"},{"key":"ref9","article-title":"ProstateX Challenge data","volume-title":"The cancer imaging archive","author":"Litjens","year":"2017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2303821"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9622-7"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.5.4.044501"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26047"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2015","author":"Simonyan","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.3.4.044506"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.2.2.020103"},{"key":"ref17","article-title":"SPIE-AAPM-NCI Lung Nodule Classification Challenge Dataset","volume-title":"The cancer Imaging Archive","author":"Armato","year":"2017"},{"year":"2019","key":"ref18","article-title":"Brain MRI images for brain tumor detection"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/9780470544037.ch13"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICACCI.2017.8125820"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007735"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007733"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.2007853"},{"key":"ref24","first-page":"1283","article-title":"A data-driven approach to predict nox-emissions of gas turbines","volume-title":"2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017","author":"Cuccu"},{"key":"ref25","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"Advances in Neural Information Processing Systems 32","author":"Paszke","year":"2019"}],"event":{"name":"2022 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2022,12,17]]},"location":"Osaka, Japan","end":{"date-parts":[[2022,12,20]]}},"container-title":["2022 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10020192\/10020156\/10020446.pdf?arnumber=10020446","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T07:41:37Z","timestamp":1707810097000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10020446\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,17]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/bigdata55660.2022.10020446","relation":{},"subject":[],"published":{"date-parts":[[2022,12,17]]}}}