{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T01:18:34Z","timestamp":1783214314075,"version":"3.54.6"},"reference-count":58,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62471288"],"award-info":[{"award-number":["62471288"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004921","name":"Shanghai Jiaotong University","doi-asserted-by":"publisher","award":["TMSK-2024-121"],"award-info":[{"award-number":["TMSK-2024-121"]}],"id":[{"id":"10.13039\/501100004921","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Hebei Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["H2025402015"],"award-info":[{"award-number":["H2025402015"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015285","name":"Hebei Province Medical Science Research Key Project","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100015285","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.eswa.2026.133426","type":"journal-article","created":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T07:38:36Z","timestamp":1782373116000},"page":"133426","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PD","title":["Cross-scale wavelet-mamba network for multi-modal medical image fusion"],"prefix":"10.1016","volume":"331","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-6271-1752","authenticated-orcid":false,"given":"Liang","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongcheng","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Kong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0306-4846","authenticated-orcid":false,"given":"Yuqi","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taoxia","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shubei","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenglei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4396-4566","authenticated-orcid":false,"given":"Lichi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2026.133426_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2022.105253","article-title":"A review on multimodal medical image fusion: Compendious analysis of medical modalities, multimodal databases, fusion techniques and quality metrics","volume":"144","author":"Azam","year":"2022","journal-title":"Computers in Biology and Medicine"},{"issue":"2","key":"10.1016\/j.eswa.2026.133426_bib0002","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.inffus.2005.10.001","article-title":"A human perception inspired quality metric for image fusion based on regional information","volume":"8","author":"Chen","year":"2007","journal-title":"Information Fusion"},{"issue":"1","key":"10.1016\/j.eswa.2026.133426_bib0003","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1186\/s12880-024-01329-x","article-title":"MR\u2013CT image fusion method of intracranial tumors based on Res2Net","volume":"24","author":"Chen","year":"2024","journal-title":"BMC Medical Imaging"},{"issue":"10","key":"10.1016\/j.eswa.2026.133426_bib0004","doi-asserted-by":"crossref","first-page":"1421","DOI":"10.1016\/j.imavis.2007.12.002","article-title":"A new automated quality assessment algorithm for image fusion","volume":"27","author":"Chen","year":"2009","journal-title":"Image and Vision Computing"},{"key":"10.1016\/j.eswa.2026.133426_bib0005","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"28102","article-title":"One model for ALL: Low-level task interaction is a key to task-agnostic image fusion","author":"Cheng","year":"2025"},{"issue":"3","key":"10.1016\/j.eswa.2026.133426_bib0006","first-page":"178","article-title":"A similarity metric for assessment of image fusion algorithms","volume":"2","author":"Cvejic","year":"2005","journal-title":"International Journal of Signal Processing"},{"issue":"10","key":"10.1016\/j.eswa.2026.133426_bib0007","doi-asserted-by":"crossref","first-page":"3333","DOI":"10.1109\/TPAMI.2020.2984244","article-title":"Deep convolutional neural network for multi-modal image restoration and fusion","volume":"43","author":"Deng","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.133426_bib0008","doi-asserted-by":"crossref","first-page":"3098","DOI":"10.1109\/TIP.2021.3058764","article-title":"Deep coupled feedback network for joint exposure fusion and image super-resolution","volume":"30","author":"Deng","year":"2021","journal-title":"IEEE Transactions on Image Processing"},{"issue":"10","key":"10.1016\/j.eswa.2026.133426_bib0009","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1007\/s11760-025-04398-9","article-title":"EBSGM: An energy-balanced and graph-optimized framework for medical image fusion: P.-H. Dinh","volume":"19","author":"Dinh","year":"2025","journal-title":"Signal, Image and Video Processing"},{"key":"10.1016\/j.eswa.2026.133426_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.dsp.2025.105315","article-title":"Enhancing medical image fusion through advanced decomposition and optimization methods","volume":"165","author":"Dinh","year":"2025","journal-title":"Digital Signal Processing"},{"issue":"8","key":"10.1016\/j.eswa.2026.133426_bib0011","doi-asserted-by":"crossref","first-page":"4325","DOI":"10.1007\/s00521-023-09294-2","article-title":"Medical image fusion based on transfer learning techniques and coupled neural P systems","volume":"36","author":"Dinh","year":"2024","journal-title":"Neural Computing and Applications"},{"key":"10.1016\/j.eswa.2026.133426_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2023.105370","article-title":"An efficient approach to medical image fusion based on optimization and transfer learning with VGG19","volume":"87","author":"Do","year":"2024","journal-title":"Biomedical Signal Processing and Control"},{"key":"10.1016\/j.eswa.2026.133426_bib0013","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.neucom.2015.07.160","article-title":"An overview of multi-modal medical image fusion","volume":"215","author":"Du","year":"2016","journal-title":"Neurocomputing"},{"key":"10.1016\/j.eswa.2026.133426_bib0014","series-title":"Proceedings of the first conference on language modeling","article-title":"Mamba: Linear-time sequence modeling with selective state spaces","author":"Gu","year":"2024"},{"key":"10.1016\/j.eswa.2026.133426_bib0015","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.neucom.2012.12.015","article-title":"Fast saliency-aware multi-modality image fusion","volume":"111","author":"Han","year":"2013","journal-title":"Neurocomputing"},{"issue":"18","key":"10.1016\/j.eswa.2026.133426_bib0016","doi-asserted-by":"crossref","first-page":"1066","DOI":"10.1049\/el:20081754","article-title":"Comments on \u2018information measure for performance of image fusion\u2019","volume":"44","author":"Hossny","year":"2008","journal-title":"Electronics Letters"},{"key":"10.1016\/j.eswa.2026.133426_bib0017","doi-asserted-by":"crossref","DOI":"10.3389\/fradi.2026.1798348","article-title":"CT-based subchondral bone microstructural analysis in knee osteoarthritis via MR-guided distillation learning","volume":"6","author":"Hu","year":"2026","journal-title":"Frontiers in Radiology"},{"key":"10.1016\/j.eswa.2026.133426_bib0018","doi-asserted-by":"crossref","first-page":"55145","DOI":"10.1109\/ACCESS.2020.2982016","article-title":"MGMDCGAN: Medical image fusion using multi-generator multi-discriminator conditional generative adversarial network","volume":"8","author":"Huang","year":"2020","journal-title":"IEEE Access"},{"issue":"1","key":"10.1016\/j.eswa.2026.133426_bib0019","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1186\/s40644-023-00650-y","article-title":"Contrast-enhanced ultrasonography\u2013CT\/MRI fusion guidance for percutaneous ablation of inconspicuous, small liver tumors: improving feasibility and therapeutic outcome","volume":"24","author":"Lee","year":"2024","journal-title":"Cancer Imaging"},{"key":"10.1016\/j.eswa.2026.133426_bib0020","doi-asserted-by":"crossref","first-page":"4070","DOI":"10.1109\/TIP.2021.3069339","article-title":"Different input resolutions and arbitrary output resolution: A meta learning-based deep framework for infrared and visible image fusion","volume":"30","author":"Li","year":"2021","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.eswa.2026.133426_bib0021","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"4725","article-title":"BSAFusion: A bidirectional stepwise feature alignment network for unaligned medical image fusion","volume":"vol. 39","author":"Li","year":"2025"},{"issue":"5","key":"10.1016\/j.eswa.2026.133426_bib0022","doi-asserted-by":"crossref","first-page":"2614","DOI":"10.1109\/TIP.2018.2887342","article-title":"DenseFuse: A fusion approach to infrared and visible images","volume":"28","author":"Li","year":"2018","journal-title":"IEEE Transactions on Image Processing"},{"issue":"12","key":"10.1016\/j.eswa.2026.133426_bib0023","doi-asserted-by":"crossref","first-page":"9645","DOI":"10.1109\/TIM.2020.3005230","article-title":"NestFuse: An infrared and visible image fusion architecture based on nest connection and spatial\/channel attention models","volume":"69","author":"Li","year":"2020","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"10.1016\/j.eswa.2026.133426_bib0024","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.inffus.2021.02.023","article-title":"RFN-Nest: An end-to-end residual fusion network for infrared and visible images","volume":"73","author":"Li","year":"2021","journal-title":"Information Fusion"},{"key":"10.1016\/j.eswa.2026.133426_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121574","article-title":"Transiam: Aggregating multi-modal visual features with locality for medical image segmentation","volume":"237","author":"Li","year":"2024","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.133426_bib0026","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.inffus.2014.09.004","article-title":"A general framework for image fusion based on multi-scale transform and sparse representation","volume":"24","author":"Liu","year":"2015","journal-title":"Information Fusion"},{"key":"10.1016\/j.eswa.2026.133426_bib0027","first-page":"1","article-title":"Multimodal MRI volumetric data fusion with convolutional neural networks","volume":"71","author":"Liu","year":"2022","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"10.1016\/j.eswa.2026.133426_bib0028","doi-asserted-by":"crossref","first-page":"103031","DOI":"10.52202\/079017-3273","article-title":"VMamba: Visual state space model","volume":"37","author":"Liu","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.133426_bib0029","doi-asserted-by":"crossref","first-page":"2197","DOI":"10.1109\/TIP.2024.3374072","article-title":"MM-Net: A mixformer-based multi-scale network for anatomical and functional image fusion","volume":"33","author":"Liu","year":"2024","journal-title":"IEEE Transactions on Image Processing"},{"issue":"7","key":"10.1016\/j.eswa.2026.133426_bib0030","doi-asserted-by":"crossref","first-page":"1200","DOI":"10.1109\/JAS.2022.105686","article-title":"SwinFusion: Cross-domain long-range learning for general image fusion via swin transformer","volume":"9","author":"Ma","year":"2022","journal-title":"IEEE\/CAA Journal of Automatica Sinica"},{"key":"10.1016\/j.eswa.2026.133426_bib0031","doi-asserted-by":"crossref","first-page":"4980","DOI":"10.1109\/TIP.2020.2977573","article-title":"DDCGAN: A dual-discriminator conditional generative adversarial network for multi-resolution image fusion","volume":"29","author":"Ma","year":"2020","journal-title":"IEEE Transactions on Image Processing"},{"issue":"7","key":"10.1016\/j.eswa.2026.133426_bib0032","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1109\/34.192463","article-title":"A theory for multiresolution signal decomposition: The wavelet representation","volume":"11","author":"Mallat","year":"1989","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.133426_bib0033","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2025.109080","article-title":"SNM: A medical image fusion method using SSFRG decomposition, nrbofa base fusion, and multi-level morphological gradient","volume":"113","author":"Nguyen","year":"2026","journal-title":"Biomedical Signal Processing and Control"},{"issue":"1","key":"10.1016\/j.eswa.2026.133426_bib0034","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1186\/s12880-023-01160-w","article-title":"MedfusionGAN: Multimodal medical image fusion using an unsupervised deep generative adversarial network","volume":"23","author":"Safari","year":"2023","journal-title":"BMC Medical Imaging"},{"issue":"12","key":"10.1016\/j.eswa.2026.133426_bib0035","doi-asserted-by":"crossref","first-page":"2121","DOI":"10.1109\/JAS.2022.106082","article-title":"SuperFusion: A versatile image registration and fusion network with semantic awareness","volume":"9","author":"Tang","year":"2022","journal-title":"IEEE\/CAA Journal of Automatica Sinica"},{"key":"10.1016\/j.eswa.2026.133426_bib0036","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.inffus.2021.12.004","article-title":"Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network","volume":"82","author":"Tang","year":"2022","journal-title":"Information Fusion"},{"key":"10.1016\/j.eswa.2026.133426_bib0037","doi-asserted-by":"crossref","first-page":"5134","DOI":"10.1109\/TIP.2022.3193288","article-title":"MATR: Multimodal medical image fusion via multiscale adaptive transformer","volume":"31","author":"Tang","year":"2022","journal-title":"IEEE Transactions on Image Processing"},{"issue":"9","key":"10.1016\/j.eswa.2026.133426_bib0038","doi-asserted-by":"crossref","first-page":"3367","DOI":"10.1109\/TIM.2018.2877285","article-title":"Image fusion using adjustable non-subsampled shearlet transform","volume":"68","author":"Vishwakarma","year":"2018","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"issue":"8","key":"10.1016\/j.eswa.2026.133426_bib0039","doi-asserted-by":"crossref","first-page":"7526","DOI":"10.1109\/TCSVT.2025.3549459","article-title":"WaveFusion: A novel wavelet vision transformer with saliency-guided enhancement for multimodal image fusion","volume":"35","author":"Wang","year":"2025","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.eswa.2026.133426_bib0040","series-title":"Proceedings of the thirty-seventh asilomar conference on signals, systems and computers","first-page":"1398","article-title":"Multiscale structural similarity for image quality assessment","volume":"vol. 2","author":"Wang","year":"2003"},{"key":"10.1016\/j.eswa.2026.133426_bib0041","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.101835","article-title":"Semantics lead all: Towards unified image registration and fusion from a semantic perspective","volume":"98","author":"Xie","year":"2023","journal-title":"Information Fusion"},{"issue":"1","key":"10.1016\/j.eswa.2026.133426_bib0042","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1007\/s44267-024-00072-9","article-title":"FusionMamba: Dynamic feature enhancement for multimodal image fusion with mamba","volume":"2","author":"Xie","year":"2024","journal-title":"Visual Intelligence"},{"issue":"1","key":"10.1016\/j.eswa.2026.133426_bib0043","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1109\/TPAMI.2020.3012548","article-title":"U2Fusion: A unified unsupervised image fusion network","volume":"44","author":"Xu","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.133426_bib0044","doi-asserted-by":"crossref","first-page":"7203","DOI":"10.1109\/TIP.2020.2999855","article-title":"MEF-GAN: Multi-exposure image fusion via generative adversarial networks","volume":"29","author":"Xu","year":"2020","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.eswa.2026.133426_bib0045","series-title":"Proceedings of the international conference on medical image computing and computer-assisted intervention","first-page":"635","article-title":"Simultaneous tri-modal medical image fusion and super-resolution using conditional diffusion model","author":"Xu","year":"2024"},{"issue":"4","key":"10.1016\/j.eswa.2026.133426_bib0046","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1049\/el:20000267","article-title":"Objective image fusion performance measure","volume":"36","author":"Xydeas","year":"2000","journal-title":"Electronics Letters"},{"issue":"2","key":"10.1016\/j.eswa.2026.133426_bib0047","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.inffus.2006.09.001","article-title":"A novel similarity based quality metric for image fusion","volume":"9","author":"Yang","year":"2008","journal-title":"Information Fusion"},{"key":"10.1016\/j.eswa.2026.133426_bib0048","series-title":"Proceedings of the thirty-fourth international joint conference on artificial intelligence","first-page":"2197","article-title":"Unlocking dark vision potential for medical image segmentation","author":"Yang","year":"2025"},{"key":"10.1016\/j.eswa.2026.133426_bib0049","series-title":"Proceedings of the european conference on computer vision","first-page":"492","article-title":"Learning enriched features for real image restoration and enhancement","author":"Zamir","year":"2020"},{"key":"10.1016\/j.eswa.2026.133426_bib0050","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"12797","article-title":"Rethinking the image fusion: A fast unified image fusion network based on proportional maintenance of gradient and intensity","volume":"vol. 34","author":"Zhang","year":"2020"},{"key":"10.1016\/j.eswa.2026.133426_bib0051","doi-asserted-by":"crossref","first-page":"8988","DOI":"10.1109\/TMM.2023.3243659","article-title":"Transformer based conditional GAN for multimodal image fusion","volume":"25","author":"Zhang","year":"2023","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.eswa.2026.133426_bib0052","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.inffus.2019.07.011","article-title":"IFCNN: A general image fusion framework based on convolutional neural network","volume":"54","author":"Zhang","year":"2020","journal-title":"Information Fusion"},{"issue":"1","key":"10.1016\/j.eswa.2026.133426_bib0053","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1186\/s12891-024-08269-1","article-title":"3D CT\/MRI fusion image-assisted treatment of lumbar burst fractures with laminar fractures","volume":"26","author":"Zhang","year":"2025","journal-title":"BMC Musculoskeletal Disorders"},{"key":"10.1016\/j.eswa.2026.133426_bib0054","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.inffus.2021.06.002","article-title":"Self-supervised feature adaption for infrared and visible image fusion","volume":"76","author":"Zhao","year":"2021","journal-title":"Information Fusion"},{"issue":"6","key":"10.1016\/j.eswa.2026.133426_bib0055","first-page":"1433","article-title":"Performance assessment of combinative pixel-level image fusion based on an absolute feature measurement","volume":"3","author":"Zhao","year":"2007","journal-title":"International Journal of Innovative Computing, Information and Control"},{"key":"10.1016\/j.eswa.2026.133426_bib0056","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"25912","article-title":"Equivariant multi-modality image fusion","author":"Zhao","year":"2024"},{"key":"10.1016\/j.eswa.2026.133426_bib0057","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"8082","article-title":"DDFM: Denoising diffusion model for multi-modality image fusion","author":"Zhao","year":"2023"},{"key":"10.1016\/j.eswa.2026.133426_bib0058","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2025.109014","article-title":"A comprehensive review of techniques, algorithms, advancements, challenges, and clinical applications of multi-modal medical image fusion for improved diagnosis","volume":"272","author":"Zubair","year":"2025","journal-title":"Computer Methods and Programs in Biomedicine"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426023353?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426023353?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T00:50:07Z","timestamp":1783212607000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417426023353"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":58,"alternative-id":["S0957417426023353"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.133426","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Cross-scale wavelet-mamba network for multi-modal medical image fusion","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.133426","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"133426"}}