{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T17:09:39Z","timestamp":1789578579157,"version":"build-2803163510"},"reference-count":31,"publisher":"Elsevier BV","issue":"5","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100009504","name":"School of Stomatology, Peking University","doi-asserted-by":"publisher","award":["PKUSSIRB-202277084"],"award-info":[{"award-number":["PKUSSIRB-202277084"]}],"id":[{"id":"10.13039\/501100009504","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFC2415300"],"award-info":[{"award-number":["2023YFC2415300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["CFH2024-1-4101"],"award-info":[{"award-number":["CFH2024-1-4101"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L242031"],"award-info":[{"award-number":["L242031"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["XZ2023ZR-ZY08"],"award-info":[{"award-number":["XZ2023ZR-ZY08"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L232143"],"award-info":[{"award-number":["L232143"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.fr","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Stomatology Oral and Maxillofacial Surgery"],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1016\/j.jormas.2025.102324","type":"journal-article","created":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T13:50:09Z","timestamp":1743601809000},"page":"102324","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":10,"special_numbering":"S","title":["Deep learning-based multimodal CT\/MRI image fusion and segmentation strategies for surgical planning of oral and maxillofacial tumors: A pilot study"],"prefix":"10.1016","volume":"126","author":[{"given":"Bin-Zhang","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei-Hao","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Si-Fan","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nian-Zha","family":"Danzeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing-Fan","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen-Bo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jormas.2025.102324_bib0001","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1016\/j.media.2013.05.004","article-title":"Joint segmentation of anatomical and functional images: applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images","volume":"17","author":"Bagci","year":"2013","journal-title":"Med Image Anal"},{"key":"10.1016\/j.jormas.2025.102324_bib0002","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.oraloncology.2018.03.013","article-title":"Multi-modality 3D mandibular resection planning in head and neck cancer using CT and MRI data fusion: a clinical series","volume":"81","author":"Kraeima","year":"2018","journal-title":"Oral Oncol"},{"key":"10.1016\/j.jormas.2025.102324_bib0003","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1016\/j.jcms.2018.01.011","article-title":"Assessment of tumor margins in head and neck cancer using a 3D-navigation system based on PET\/CT image-fusion - a pilot study","volume":"46","author":"Zrnc","year":"2018","journal-title":"J Craniomaxillofac Surg"},{"key":"10.1016\/j.jormas.2025.102324_bib0004","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1186\/1471-2407-14-846","article-title":"Diagnostic value of retrospective PET-MRI fusion in head-and-neck cancer","volume":"14","author":"Loeffelbein","year":"2014","journal-title":"BMC Cancer"},{"key":"10.1016\/j.jormas.2025.102324_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.joms.2017.02.013","volume":"75","author":"Yu","year":"2017","journal-title":"J Oral Maxillofac Surg"},{"key":"10.1016\/j.jormas.2025.102324_bib0006","doi-asserted-by":"crossref","DOI":"10.1007\/s12663-025-02441-3","article-title":"Resection of midfacial tumors assisted by virtual planning based on CT\/MRI multimodal image fusion: a cohort study","author":"Hu","year":"2025","journal-title":"J Maxillofac Oral Surg"},{"key":"10.1016\/j.jormas.2025.102324_bib0007","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/S0360-3016(01)01659-5","article-title":"Multimodality image registration quality assurance for conformal three-dimensional treatment planning","volume":"51","author":"Mutic","year":"2001","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.jormas.2025.102324_bib0008","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1016\/j.jcms.2020.05.009","article-title":"Accuracy of multimodal image fusion for oral and maxillofacial tumors: a revised evaluation method and its application","volume":"48","author":"Hu","year":"2020","journal-title":"J Craniomaxillofac Surg"},{"key":"10.1016\/j.jormas.2025.102324_bib0009","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1186\/s12903-022-02679-0","article-title":"Factors influencing the accuracy of multimodal image fusion for oral and maxillofacial tumors: a retrospective study","volume":"22","author":"Hu","year":"2022","journal-title":"BMC Oral Health"},{"key":"10.1016\/j.jormas.2025.102324_bib0010","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1111\/1754-9485.12462","article-title":"A review of interventions to reduce inter-observer variability in volume delineation in radiation oncology","volume":"60","author":"Vinod","year":"2016","journal-title":"J Med Imaging Radiat Oncol"},{"key":"10.1016\/j.jormas.2025.102324_bib0011","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1016\/j.ijrobp.2006.01.014","article-title":"Variability of gross tumor volume delineation in head-and-neck cancer using CT and PET\/CT fusion","volume":"65","author":"Riegel","year":"2006","journal-title":"Int J Radiat Oncol Biol Phys"},{"key":"10.1016\/j.jormas.2025.102324_bib0012","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1007\/s11517-016-1571-0","article-title":"An enhanced random walk algorithm for delineation of head and neck cancers in PET studies","volume":"55","author":"Stefano","year":"2017","journal-title":"Med Biol Eng Comput"},{"key":"10.1016\/j.jormas.2025.102324_bib0013","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6560\/aae8a9","article-title":"Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks","volume":"63","author":"Cardenas","year":"2018","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.jormas.2025.102324_bib0014","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1109\/TRPMS.2018.2890359","article-title":"Deep learning-based image segmentation on Multimodal medical imaging","volume":"3","author":"Guo","year":"2019","journal-title":"IEEE Trans Radiat Plasma Med Sci"},{"key":"10.1016\/j.jormas.2025.102324_bib0015","doi-asserted-by":"crossref","first-page":"5310","DOI":"10.1118\/1.4928485","article-title":"A multimodality segmentation framework for automatic target delineation in head and neck radiotherapy","volume":"42","author":"Yang","year":"2015","journal-title":"Med Phys"},{"key":"10.1016\/j.jormas.2025.102324_bib0016","doi-asserted-by":"crossref","first-page":"1860","DOI":"10.1038\/s41598-021-81044-7","article-title":"A deep learning based framework for the registration of three dimensional multi-modal medical images of the head","volume":"11","author":"Islam","year":"2021","journal-title":"Sci Rep"},{"key":"10.1016\/j.jormas.2025.102324_bib0017","doi-asserted-by":"crossref","first-page":"1122","DOI":"10.21037\/qims-23-818","article-title":"Multi-modal tumor segmentation methods based on deep learning: a narrative review","volume":"14","author":"Xue","year":"2024","journal-title":"Quant Imaging Med Surg"},{"key":"10.1016\/j.jormas.2025.102324_bib0018","doi-asserted-by":"crossref","first-page":"20TR01","DOI":"10.1088\/1361-6560\/ab843e","article-title":"Deep learning in medical image registration: a review","volume":"65","author":"Fu","year":"2020","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.jormas.2025.102324_bib0019","doi-asserted-by":"crossref","first-page":"1399","DOI":"10.1080\/0284186X.2021.1949034","article-title":"Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation","volume":"60","author":"Ren","year":"2021","journal-title":"Acta Oncol"},{"key":"10.1016\/j.jormas.2025.102324_bib0020","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-021-90428-8","article-title":"Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images","volume":"11","author":"Ranjbarzadeh","year":"2021","journal-title":"Sci Rep"},{"key":"10.1016\/j.jormas.2025.102324_bib0021","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/978-3-030-67194-5_10","article-title":"Tumor segmentation in patients with head and neck cancers using deep learning based-on multi-modality PET\/CT images","volume":"12603","author":"Naser","year":"2020","journal-title":"Head Neck Tumor Segm"},{"key":"10.1016\/j.jormas.2025.102324_bib0022","doi-asserted-by":"crossref","DOI":"10.1088\/1361-6560\/ab440d","article-title":"Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network","volume":"64","author":"Guo","year":"2019","journal-title":"Phys Med Biol"},{"key":"10.1016\/j.jormas.2025.102324_bib0023","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1109\/TMI.2009.2035616","article-title":"elastix: a toolbox for intensity-based medical image registration","volume":"29","author":"Klein","year":"2010","journal-title":"IEEE Trans Med Imaging"},{"key":"10.1016\/j.jormas.2025.102324_bib0024","doi-asserted-by":"crossref","first-page":"2033","DOI":"10.1016\/j.neuroimage.2010.09.025","article-title":"A reproducible evaluation of ANTs similarity metric performance in brain image registration","volume":"54","author":"Avants","year":"2011","journal-title":"Neuroimage"},{"key":"10.1016\/j.jormas.2025.102324_bib0025","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.cmpb.2009.09.002","article-title":"Fast free-form deformation using graphics processing units","volume":"98","author":"Modat","year":"2010","journal-title":"Comput Method Program Biomed"},{"key":"10.1016\/j.jormas.2025.102324_bib0026","article-title":"Global image registration using a symmetric block-matching approach","volume":"1","author":"Modat","year":"2014","journal-title":"J Med Imaging (Bellingham)"},{"key":"10.1016\/j.jormas.2025.102324_bib0027","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/42.796284","article-title":"Nonrigid registration using free-form deformations: application to breast MR images","volume":"18","author":"Rueckert","year":"1999","journal-title":"IEEE Trans Med Imaging"},{"key":"10.1016\/j.jormas.2025.102324_bib0028","series-title":"ICLR 2023","article-title":"3D UX-net: a large kernel volumetric ConvNet modernizing hierarchical transformer for medical image segmentation","author":"Lee","year":"2023"},{"key":"10.1016\/j.jormas.2025.102324_bib0029","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","article-title":"nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation","volume":"18","author":"Isensee","year":"2021","journal-title":"Nat Method"},{"key":"10.1016\/j.jormas.2025.102324_bib0030","series-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI","first-page":"234","article-title":"U-Net: convolutional networks for biomedical image segmentation","author":"Ronneberger","year":"2015"},{"key":"10.1016\/j.jormas.2025.102324_bib0031","doi-asserted-by":"crossref","first-page":"2782","DOI":"10.1007\/s00259-020-05125-x","article-title":"Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET\/CT images of head and neck cancer patients","volume":"48","author":"Moe","year":"2021","journal-title":"Eur J Nucl Med Mol Imaging"}],"container-title":["Journal of Stomatology Oral and Maxillofacial Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2468785525001107?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2468785525001107?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T04:35:07Z","timestamp":1768019707000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2468785525001107"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":31,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2025,10]]}},"alternative-id":["S2468785525001107"],"URL":"https:\/\/doi.org\/10.1016\/j.jormas.2025.102324","relation":{},"ISSN":["2468-7855"],"issn-type":[{"value":"2468-7855","type":"print"}],"subject":[],"published":{"date-parts":[[2025,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Deep learning-based multimodal CT\/MRI image fusion and segmentation strategies for surgical planning of oral and maxillofacial tumors: A pilot study","name":"articletitle","label":"Article Title"},{"value":"Journal of Stomatology Oral and Maxillofacial Surgery","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jormas.2025.102324","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Masson SAS. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"102324"}}