{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T04:25:25Z","timestamp":1774844725510,"version":"3.50.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61801024"],"award-info":[{"award-number":["61801024"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018AAA0102600"],"award-info":[{"award-number":["2018AAA0102600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Scientific Technological Innovation Research Project by the Ministry of Education"},{"DOI":"10.13039\/501100004147","name":"Institute for Guo Qiang, Tsinghua University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004147","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2995886","type":"journal-article","created":{"date-parts":[[2020,5,20]],"date-time":"2020-05-20T20:32:01Z","timestamp":1590006721000},"page":"98562-98571","source":"Crossref","is-referenced-by-count":10,"title":["Accurate and Efficient LIF-Nets for 3D Detection and Recognition"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7746-6867","authenticated-orcid":false,"given":"Yueting","family":"Shi","sequence":"first","affiliation":[]},{"given":"Hai","family":"Li","sequence":"additional","affiliation":[]},{"given":"Hehui","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Zhenzhi","family":"Wu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3846-7573","authenticated-orcid":false,"given":"Shiwei","family":"Ren","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00331"},{"key":"ref38","article-title":"Automatic differentiation in PyTorch","author":"paszke","year":"2017","journal-title":"Proc NIPS Autodiff Workshop"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.12.005"},{"key":"ref31","article-title":"Spiking-YOLO: Spiking neural network for energy-efficient object detection","author":"kim","year":"2019","journal-title":"arXiv 1903 06530"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2362542"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2019.2931595"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462546"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-42051-1_9"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s12530-017-9178-8"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.celrep.2017.04.041"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.06.015"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363630"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00079"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759244"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2892409"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3233\/XST-17302"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.12.002"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00774"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0361-9230(99)00161-6"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8852380"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8140(16)30045-7"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2796023"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_72"},{"key":"ref6","first-page":"91","article-title":"Classification of lung nodule malignancy risk on computed tomography images using convolutional neural network: A comparison between 2D and 3D strategies","author":"yan","year":"2016","journal-title":"Proc Asian Conf Comput Vis"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2018.00042"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2015.10.006"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19992-4_46"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.05.029"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_64"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_20"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/942353"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.59"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781107447615"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-019-00204-4"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICRC.2016.7738691"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011311"},{"key":"ref47","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2016.00508"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.09.017"},{"key":"ref41","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assisted Intervent"},{"key":"ref23","first-page":"7005","article-title":"Hybrid macro\/micro level backpropagation for training deep spiking neural networks","author":"jin","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-015-9857-6"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2612890"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363687"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-017-9517-x"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09097201.pdf?arnumber=9097201","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:52:11Z","timestamp":1639770731000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9097201\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2995886","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}