{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T20:15:40Z","timestamp":1778271340640,"version":"3.51.4"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NSF Engineering Research Initiation","award":["2346962"],"award-info":[{"award-number":["2346962"]}]},{"name":"Oakland University Provost Graduate Research Award"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ultrasonics"],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1109\/tuson.2025.3638593","type":"journal-article","created":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T18:42:18Z","timestamp":1764355338000},"page":"47-56","source":"Crossref","is-referenced-by-count":0,"title":["Parametric Quantitative Ultrasound-Based Deep Learning for Breast Cancer Diagnosis"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1736-6837","authenticated-orcid":false,"given":"Rehnuma","family":"Hasnat","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7873-1872","authenticated-orcid":false,"given":"Alycen","family":"Wiacek","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Department of Bioengineering, Oakland University, Rochester, MI, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/jso.27459"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21820"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21863"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/92.13.1081"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-024-10951-w"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41416-018-0080-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2017.09.012"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinimag.2012.09.024"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1117\/3.651880"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/uog.5205"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2007.04.016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/5137904"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinimag.2021.03.024"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2731873"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0293615"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2015.2513958"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1177\/016173469001200402"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1098-1098(1997)8:1<3::AID-IMA2>3.0.CO;2-E"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2004.826953"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.4.001764"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-06100-2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TUFFC.2023.3245988"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2019.03.021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2020.10.025"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020191160"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102326"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2020.04.002"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/app12104942"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1117\/1.JMI.12.S2.S22009"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1117\/12.3046257"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12538"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7318670"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-007-6952-6_15"},{"key":"ref34","volume-title":"Diagnostic Ultrasound Imaging: Inside Out","author":"Szabo","year":"2013"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/58.842062"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1978.10837"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/S0301-5629(97)00200-7"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"},{"key":"ref41","article-title":"Attention U-Net: Learning where to look for the pancreas","author":"Oktay","year":"2018","journal-title":"arXiv:1804.03999"},{"key":"ref42","volume-title":"TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems","author":"Abadi","year":"2015"},{"key":"ref43","volume-title":"Keras","author":"Chollet","year":"2015"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1214\/08-AOS625"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"issue":"86","key":"ref46","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref47","first-page":"4765","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lundberg"},{"key":"ref48","first-page":"359","article-title":"What clinicians want: Contextualizing explainable machine learning for clinical end use","volume-title":"Proc. Mach. Learn. Healthcare Conf.","author":"Tonekaboni"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1799-6"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultras.2020.106300"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3390\/s22030807"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1121\/1.399283"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.7863\/jum.2002.21.11.1201"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1177\/016173469001200105"}],"container-title":["IEEE Transactions on Ultrasonics"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/11073821\/11512033\/11271295-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11073821\/11512033\/11271295.pdf?arnumber=11271295","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T19:39:18Z","timestamp":1778269158000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11271295\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":54,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tuson.2025.3638593","relation":{},"ISSN":["3066-9464","3066-9464"],"issn-type":[{"value":"3066-9464","type":"electronic"},{"value":"3066-9464","type":"print"}],"subject":[],"published":{"date-parts":[[2026,1]]}}}