{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T12:43:22Z","timestamp":1748609002910,"version":"3.37.3"},"reference-count":24,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"IUIS Institute of Sorbonne University","award":["bp2022 #220648"],"award-info":[{"award-number":["bp2022 #220648"]}]},{"name":"HPC Resources","award":["2022-AD011013628"],"award-info":[{"award-number":["2022-AD011013628"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/jbhi.2023.3337511","type":"journal-article","created":{"date-parts":[[2023,12,6]],"date-time":"2023-12-06T19:05:30Z","timestamp":1701889530000},"page":"870-880","source":"Crossref","is-referenced-by-count":2,"title":["Prior-Guided Attribution of Deep Neural Networks for Obstetrics and Gynecology"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9007-5177","authenticated-orcid":false,"given":"Jules","family":"Bonnard","sequence":"first","affiliation":[{"name":"CNRS, ISIR, Sorbonne Universit&#x00E9;, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0074-8719","authenticated-orcid":false,"given":"Arnaud","family":"Dapogny","sequence":"additional","affiliation":[{"name":"Datakalab, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7883-8288","authenticated-orcid":false,"given":"Richard","family":"Zsamboki","sequence":"additional","affiliation":[{"name":"GE HealthCare, Budapest, Hungary"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2563-2605","authenticated-orcid":false,"given":"Lucrezia","family":"De Braud","sequence":"additional","affiliation":[{"name":"Institute for Women&#x0027;s Health, Faculty of Population Health Sciences, University College London, London, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6487-5736","authenticated-orcid":false,"given":"Davor","family":"Jurkovic","sequence":"additional","affiliation":[{"name":"Institute for Women&#x0027;s Health, Faculty of Population Health Sciences, University College London, London, U.K."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7802-3673","authenticated-orcid":false,"given":"K\u00e9vin","family":"Bailly","sequence":"additional","affiliation":[{"name":"CNRS, ISIR, Sorbonne Universit&#x00E9;, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3246-8727","authenticated-orcid":false,"given":"Ferdinand","family":"Dhombres","sequence":"additional","affiliation":[{"name":"Paris Nord, INSERM, LIMICS, APHP, Service de m&#x00E9;decine f&#x0153;tale, GRC26, Sorbonne Universit&#x00E9;, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956496"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2950387"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-67076-5"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3291336"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2712367"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_79"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102411"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2022.04.011"},{"article-title":"PGL: Prior-guided local self-supervised learning for 3D medical image segmentation","year":"2020","author":"Xie","key":"ref9"},{"article-title":"Prior knowledge-guided attention in self-supervised vision transformers","year":"2022","author":"Miao","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref12","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","volume-title":"Proc. 2nd Int. Conf. Learn. Representations","author":"Simonyan","year":"2014"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01228-7"},{"key":"ref14","first-page":"3319","article-title":"Axiomatic attribution for deep networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Sundararajan","year":"2017"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/371"},{"key":"ref16","first-page":"9432","article-title":"Harmonizing the object recognition strategies of deep neural networks with humans","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Fel","year":"2022"},{"key":"ref17","first-page":"26726","article-title":"Improving deep learning interpretability by saliency guided training","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ismail","year":"2021"},{"key":"ref18","first-page":"30693","article-title":"Look where you look! Saliency-guided Q-networks for visual RL tasks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bertoin","year":"2022"},{"key":"ref19","first-page":"3145","article-title":"Learning important features through propagating activation differences","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Shrikumar","year":"2017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.41"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.277"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TBIOM.2019.2950032"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.41"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2019.104863"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/10422840\/10333329.pdf?arnumber=10333329","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T18:51:26Z","timestamp":1707331886000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10333329\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":24,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2023.3337511","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"type":"print","value":"2168-2194"},{"type":"electronic","value":"2168-2208"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}