{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T08:35:14Z","timestamp":1771230914054,"version":"3.50.1"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People&#x0027;s Republic of China","doi-asserted-by":"publisher","award":["2016YFC0106201"],"award-info":[{"award-number":["2016YFC0106201"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Science and Technology Commission of Shanghai Municipality","award":["19DZ2280300"],"award-info":[{"award-number":["19DZ2280300"]}]},{"name":"Shanghai Jiao Tong University Medical Engineering Cross Research Funds","award":["YG2021ZD05"],"award-info":[{"award-number":["YG2021ZD05"]}]},{"name":"Shanghai Hospital Development Center Foundation","award":["SHDC12021112"],"award-info":[{"award-number":["SHDC12021112"]}]},{"name":"Shanghai Zhangjiang National Independent Innovation Demonstration Zone Special Development","award":["ZJ2021-ZD-007"],"award-info":[{"award-number":["ZJ2021-ZD-007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1109\/jbhi.2023.3260776","type":"journal-article","created":{"date-parts":[[2023,3,31]],"date-time":"2023-03-31T17:46:06Z","timestamp":1680284766000},"page":"19-30","source":"Crossref","is-referenced-by-count":9,"title":["Survival Analysis for Multimode Ablation Using Self-Adapted Deep Learning Network Based on Multisource Features"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5495-0699","authenticated-orcid":false,"given":"Ziqi","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6829-686X","authenticated-orcid":false,"given":"Wentao","family":"Li","sequence":"additional","affiliation":[{"name":"Fudan University Shanghai Cancer Center, Shanghai, China"}]},{"given":"Ping","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3947-9760","authenticated-orcid":false,"given":"Aili","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6444-6894","authenticated-orcid":false,"given":"Jianqi","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2873-3225","authenticated-orcid":false,"given":"Lisa X.","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(12)70211-5"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1148\/rg.345140054"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.210.3.r99fe40655"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1615\/CritRevBiomedEng.v38.i1.70"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.11100155"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nrc3672"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s00270-011-0320-x"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/02656736.2018.1476984"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/biomedicines10020280"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2011.207"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10439-007-9300-3"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2342-13-3"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1159\/000449338"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2018172108"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2015151169"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s41199-020-00053-7"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejso.2021.11.120"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2022.828560"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2016161382"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2020.09.014"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.08.001"},{"key":"ref23","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Vaswani","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87589-3_36"},{"key":"ref25","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dosovitskiy","year":"2021"},{"key":"ref26","first-page":"159","article-title":"Smile: Sparse-attention based multiple instance contrastive learning for glioma sub-type classification using pathological images","volume-title":"Proc. MICCAI Workshop Comput. Pathol.","volume":"156","author":"Lu","year":"2021"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120047"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC48229.2022.9871809"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3287572"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2731873"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-019-06452-w"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.7150\/ijms.55510"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2022.859323"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1972.tb00899.x"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2018.09.007"},{"key":"ref37","first-page":"252","article-title":"Making large Coxs proportional hazard models tractable in Bayesian networks","volume-title":"Proc. Conf. Probabilistic Graphical Models","author":"Kraisangka","year":"2016"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1097\/JTO.0b013e318233d835"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1023\/A:I0I0933404324"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1002\/sim.4780140108"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1186\/s12874-018-0482-1"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2909027"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3052441"},{"key":"ref44","first-page":"674","article-title":"Deep Cox mixtures for survival regression","volume-title":"Proc. Mach. Learn. Healthcare Conf.","author":"Nagpal","year":"2021"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2021.3116607"},{"issue":"7","key":"ref46","first-page":"603","article-title":"Expert consensus on the imaging-guided multimode tumor ablation therapy system for malignant hepatic tumors","volume":"27","author":"Li","year":"2018","journal-title":"J. Vasc. Interv. Radiol. (China)"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2035616"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.01.015"},{"key":"ref49","article-title":"Med3d: Transfer learning for 3D medical image analysis","author":"Chen","year":"2019"},{"key":"ref50","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Simonyan","year":"2015"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref54","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan","year":"2019"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3150682"},{"key":"ref58","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref59","article-title":"Deep learning using rectified linear units (relu)","author":"Agarap","year":"2018"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref61","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.can-17-0339"},{"issue":"212","key":"ref63","first-page":"8747","article-title":"Scikit-survival: A library for time-to-event analysis built on top of scikit-learn","volume":"21","author":"Plsterl","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref64","article-title":"Lifelines","author":"Davidson-Pilon","year":"2016"},{"key":"ref65","first-page":"1","article-title":"Auton-survival: An open-source package for regression, counterfactual estimation, evaluation and phenotyping with censored time-to-event data","volume-title":"Proc. Mach. Learn. Healthcare Conf.","volume":"182","author":"Nagpal","year":"2022"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1002\/sim.2427"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0258(19990915\/30)18:17\/18<2529::AID-SIM274>3.0.CO;2-5"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2000.10474883"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00532.x"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.3390\/cancers13010031"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1177\/01617346221120069"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/10380963\/10090410.pdf?arnumber=10090410","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T02:01:32Z","timestamp":1705024892000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10090410\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":73,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2023.3260776","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1]]}}}