{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T18:45:10Z","timestamp":1780512310553,"version":"3.54.1"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Major Scientific Research Instrument Development Project of China","award":["81927804"],"award-info":[{"award-number":["81927804"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tim.2025.3554283","type":"journal-article","created":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T17:54:00Z","timestamp":1744221240000},"page":"1-20","source":"Crossref","is-referenced-by-count":2,"title":["DGDOT-Net: A Deep Generative Model With Attention Fusion for Enhanced High-Density Diffuse Optical Tomography"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6870-443X","authenticated-orcid":false,"given":"Di","family":"Wu","sequence":"first","affiliation":[{"name":"Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9587-6686","authenticated-orcid":false,"given":"Meiyun","family":"Xia","sequence":"additional","affiliation":[{"name":"Hangzhou International Innovation Institute, Beihang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7465-7433","authenticated-orcid":false,"given":"Deyu","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, and the State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6013-2492","authenticated-orcid":false,"given":"Chuanxin M.","family":"Niu","sequence":"additional","affiliation":[{"name":"Department of Rehabilitation Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3977-3206","authenticated-orcid":false,"given":"Daifa","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S2468-2667(20)30185-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1063\/1.5086809"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/app122412511"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1890.sp000321"},{"issue":"1","key":"ref5","first-page":"12","article-title":"Measuring tissue thicknesses of the human head using centralized and normalized trajectories","volume-title":"Proc. Conf. Consciousness Measures","volume":"29","author":"Wendel"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/app13085016"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1117\/1.NPh.7.1.015008"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.21.9.091312"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1364\/OPTICA.446511"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2013.01.033"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1364\/OL.23.000882"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1364\/OE.15.013695"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.4.002411"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1364\/AO.34.008026"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1118\/1.3531572"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1142\/S1793545819300118"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1364\/AO.377810"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.24.5.051407"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/17455030.2021.1968540"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2936522"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10915-023-02115-7"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/nature25988"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1364\/OTS.2022.OW4D.7"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.27.8.083016"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1364\/TRANSLATIONAL.2022.JM3A.25"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00129-2_13"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_8"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3117276"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1364\/BOE.432786"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1117\/12.2577047"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-85858-7"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.01.124"},{"key":"ref34","volume-title":"Developing high-density diffuse optical tomography for neuroimaging","author":"White","year":"2012"},{"issue":"21","key":"ref35","article-title":"Deep convolutional encoder\u2013decoder neural network approach for functional near infrared spectroscopic imaging","volume":"50","author":"Li","year":"2023","journal-title":"Chin. J. Lasers"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3082314"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3252576"},{"key":"ref38","first-page":"6965","article-title":"A probabilistic U-Net for segmentation of ambiguous images","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Kohl"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/computation9110114"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-7549-5_2"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3136461"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.53941\/ijndi0201006"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering11090916"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.19.1.016010"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/50\/4\/R01"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.1999.0475"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1977.10771"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2023.3236007"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2024.3368434"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1002\/advs.202304763"},{"key":"ref53","first-page":"12","article-title":"Attention-based-features-fusion emotion-guided fNIRS classification network for prenatal depression recognition","volume-title":"Proc. Int. Workshop PRedictive Intell. Med.","author":"Shen"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-49401-9"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.106968"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1038\/nphoton.2014.107"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1117\/1.NPh.9.4.045010"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ECAI50035.2020.9223258"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1162\/imag_a_00244"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3053900"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.26619"},{"issue":"19","key":"ref62","article-title":"LSTM-based recurrent neural network for noise suppression in fnirs neuroimaging: Network design and pilot validation","volume":"48","author":"Liu","year":"2021","journal-title":"Chin. J. Lasers"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/10959734.pdf?arnumber=10959734","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T05:06:03Z","timestamp":1744779963000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10959734\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/tim.2025.3554283","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}