{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T03:23:04Z","timestamp":1783740184084,"version":"3.55.0"},"reference-count":48,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["DUT25YG229"],"award-info":[{"award-number":["DUT25YG229"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013804","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013804","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001381","name":"National Research Foundation Singapore","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Fusion"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.inffus.2026.104433","type":"journal-article","created":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T06:41:30Z","timestamp":1777272090000},"page":"104433","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["SelSSM: Selective state space module empowered generative adversarial networks for multi-modal MR image synthesis"],"prefix":"10.1016","volume":"135","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3453-6474","authenticated-orcid":false,"given":"Mingzhi","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4745-8361","authenticated-orcid":false,"given":"Junxin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5121-1682","authenticated-orcid":false,"given":"Qiankun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Mou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"12","key":"10.1016\/j.inffus.2026.104433_bib0001","doi-asserted-by":"crossref","first-page":"1628","DOI":"10.1136\/ard-2024-225882","article-title":"Development of international consensus on a standardised image acquisition protocol for diagnostic evaluation of the sacroiliac joints by MRI: an ASAS\u2013SPARTAN collaboration","volume":"83","author":"Lambert","year":"2024","journal-title":"Ann. Rheum. Dis."},{"issue":"8","key":"10.1016\/j.inffus.2026.104433_bib0002","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1016\/j.medj.2023.06.002","article-title":"Machine learning for cryosection pathology predicts the 2021 WHO classification of glioma","volume":"4","author":"Nasrallah","year":"2023","journal-title":"Med."},{"issue":"1","key":"10.1016\/j.inffus.2026.104433_bib0003","doi-asserted-by":"crossref","first-page":"8341","DOI":"10.1038\/s41467-025-64249-6","article-title":"Uncertainty-aware ensemble of foundation models differentiates glioblastoma from its mimics","volume":"16","author":"Zhao","year":"2025","journal-title":"Nat. Commun."},{"issue":"1","key":"10.1016\/j.inffus.2026.104433_bib0004","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1109\/TFUZZ.2024.3400861","article-title":"Fuzzy-ViT: a deep neuro-fuzzy system for cross-domain transfer learning from large-scale general data to medical image","volume":"33","author":"Li","year":"2024","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"10.1016\/j.inffus.2026.104433_bib0005","doi-asserted-by":"crossref","first-page":"3664","DOI":"10.1109\/TNSRE.2023.3314516","article-title":"Multimodal autism spectrum disorder diagnosis method based on DeepGCN","volume":"31","author":"Wang","year":"2023","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"4","key":"10.1016\/j.inffus.2026.104433_bib0006","doi-asserted-by":"crossref","first-page":"936","DOI":"10.1109\/TCBB.2023.3247433","article-title":"A robust deep learning framework based on spectrograms for heart sound classification","volume":"21","author":"Chen","year":"2023","journal-title":"IEEE ACM Trans. Comput. Biol. Bioinform."},{"issue":"8","key":"10.1016\/j.inffus.2026.104433_bib0007","doi-asserted-by":"crossref","first-page":"2035","DOI":"10.1109\/TMM.2017.2763321","article-title":"Optimizing multistage discriminative dictionaries for blind image quality assessment","volume":"20","author":"Jiang","year":"2017","journal-title":"IEEE Trans. Multimed."},{"issue":"11","key":"10.1016\/j.inffus.2026.104433_bib0008","doi-asserted-by":"crossref","first-page":"3395","DOI":"10.1109\/TMI.2023.3288001","article-title":"Multi-scale transformer network with edge-aware pre-training for cross-modality MR image synthesis","volume":"42","author":"Li","year":"2023","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.inffus.2026.104433_bib0009","doi-asserted-by":"crossref","first-page":"2587","DOI":"10.1109\/TMI.2024.3368664","article-title":"Multi-modal modality-masked diffusion network for brain MRI synthesis with random modality missing","volume":"43","author":"Meng","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.inffus.2026.104433_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2024.103331","article-title":"Deep unfolding network with spatial alignment for multi-modal mri reconstruction","volume":"99","author":"Zhang","year":"2025","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.inffus.2026.104433_bib0011","doi-asserted-by":"crossref","first-page":"3678","DOI":"10.1109\/TMI.2023.3301934","article-title":"Learning unified hyper-network for multi-modal MR image synthesis and tumor segmentation with missing modalities","volume":"42","author":"Yang","year":"2023","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.inffus.2026.104433_bib0012","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"1125","article-title":"Image-to-image translation with conditional adversarial networks","author":"Isola","year":"2017"},{"key":"10.1016\/j.inffus.2026.104433_bib0013","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"2223","article-title":"Unpaired image-to-image translation using cycle-consistent adversarial networks","author":"Zhu","year":"2017"},{"issue":"4","key":"10.1016\/j.inffus.2026.104433_bib0014","doi-asserted-by":"crossref","first-page":"1170","DOI":"10.1109\/TMI.2019.2945521","article-title":"Missing MRI pulse sequence synthesis using multi-modal generative adversarial network","volume":"39","author":"Sharma","year":"2019","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"9","key":"10.1016\/j.inffus.2026.104433_bib0015","doi-asserted-by":"crossref","first-page":"2772","DOI":"10.1109\/TMI.2020.2975344","article-title":"Hi-Net: hybrid-fusion network for multi-modal MR image synthesis","volume":"39","author":"Zhou","year":"2020","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"10","key":"10.1016\/j.inffus.2026.104433_bib0016","doi-asserted-by":"crossref","first-page":"2598","DOI":"10.1109\/TMI.2022.3167808","article-title":"ResViT: residual vision transformers for multimodal medical image synthesis","volume":"41","author":"Dalmaz","year":"2022","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.inffus.2026.104433_bib0017","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2025.107851","article-title":"Pre-to post-contrast medical image synthesis with outline-guide accelerate diffusion model","volume":"192","author":"Fan","year":"2025","journal-title":"Neural Netw."},{"key":"10.1016\/j.inffus.2026.104433_bib0018","doi-asserted-by":"crossref","first-page":"2102","DOI":"10.1109\/TCE.2025.3631634","article-title":"Generative AI-driven liver reconstruction for healthcare applications in consumer electronics with diffusion model and graph neural network","volume":"72","author":"Xu","year":"2025","journal-title":"IEEE Trans. Consum. Electron."},{"key":"10.1016\/j.inffus.2026.104433_bib0019","article-title":"C2DEEP-OT: utilizing multi-agent deep reinforcement learning algorithm and optimized attentive transformer network for cervical cancer detection","volume":"738","author":"Khan","year":"2025","journal-title":"Inf. Sci."},{"key":"10.1016\/j.inffus.2026.104433_bib0020","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"266","article-title":"EM-Net: efficient channel and frequency learning with Mamba for 3D medical image segmentation","author":"Chang","year":"2024"},{"key":"10.1016\/j.inffus.2026.104433_bib0021","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"239","article-title":"Hybrid state-space models and denoising training for unpaired medical image synthesis","author":"Zhang","year":"2025"},{"key":"10.1016\/j.inffus.2026.104433_bib0022","article-title":"FPL+: filtered pseudo label-based unsupervised cross-modality adaptation for 3D medical image segmentation","author":"Wu","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.inffus.2026.104433_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2024.103278","article-title":"Generating multi-pathological and multi-modal images and labels for brain MRI","volume":"97","author":"Fernandez","year":"2024","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.inffus.2026.104433_bib0024","unstructured":"J. Ma, Z. Yang, S. Kim, B. Chen, M. Baharoon, A. Fallahpour, R. Asakereh, H. Lyu, B. Wang, MedSAM2: Segment anything in 3D medical images and videos, (2025). arXiv preprint arXiv: 2504.03600."},{"issue":"4","key":"10.1016\/j.inffus.2026.104433_bib0025","doi-asserted-by":"crossref","first-page":"2367","DOI":"10.1109\/TCBB.2022.3140306","article-title":"Cross-modality LGE-CMR segmentation using image-to-image translation based data augmentation","volume":"20","author":"Wang","year":"2022","journal-title":"IEEE ACM Trans. Comput. Biol. Bioinform."},{"key":"10.1016\/j.inffus.2026.104433_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2022.102472","article-title":"Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network","volume":"79","author":"Huang","year":"2022","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.inffus.2026.104433_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.ins.2023.119114","article-title":"FS-GAN: fuzzy self-guided structure retention generative adversarial network for medical image enhancement","volume":"642","author":"Yu","year":"2023","journal-title":"Inf. Sci."},{"key":"10.1016\/j.inffus.2026.104433_bib0028","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2022.105878","article-title":"LEGAN: a light and effective generative adversarial network for medical image synthesis","volume":"148","author":"Gao","year":"2022","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.inffus.2026.104433_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2022.106273","article-title":"KDE-GAN: a multimodal medical image-fusion model based on knowledge distillation and explainable AI modules","volume":"151","author":"Mi","year":"2022","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.inffus.2026.104433_bib0030","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"706","article-title":"Online learning in motion modeling for intra-interventional image sequences","author":"Gunnarsson","year":"2024"},{"key":"10.1016\/j.inffus.2026.104433_bib0031","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.patrec.2024.11.020","article-title":"Generation of super-resolution for medical image via a self-prior guided Mamba network with edge-aware constraint","volume":"187","author":"Ji","year":"2025","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.inffus.2026.104433_bib0032","series-title":"International Symposium on Bioinformatics Research and Applications","first-page":"335","article-title":"VM-UNET-V2: rethinking vision Mamba UNet for medical image segmentation","author":"Zhang","year":"2024"},{"key":"10.1016\/j.inffus.2026.104433_bib0033","first-page":"1","article-title":"A generalist foundation model and database for open-world medical image segmentation","volume":"9","author":"Zhang","year":"2025","journal-title":"Nat. Biomed. Eng."},{"key":"10.1016\/j.inffus.2026.104433_bib0034","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11042-025-20760-y","article-title":"A hybrid attention-based deep learning model for segmentation of livers and liver tumors from CT scans","volume":"84","author":"Goceri","year":"2025","journal-title":"Multimed. Tools Appl."},{"key":"10.1016\/j.inffus.2026.104433_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2025.108370","article-title":"CFATrans: brain tumor segmentation from MRIs using consecutive fusion-attention transformer with convolutional networks and a composite loss function","volume":"112","author":"Goceri","year":"2026","journal-title":"Biomed. Signal Process. Contr."},{"key":"10.1016\/j.inffus.2026.104433_bib0036","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2025.108138","article-title":"A convolution and transformer-based method with effective stain normalization for breast cancer detection from whole slide images","volume":"110","author":"Goceri","year":"2025","journal-title":"Biomed. Signal Process. Contr."},{"key":"10.1016\/j.inffus.2026.104433_bib0037","first-page":"1","article-title":"Lung cancer classification using effective fusion network integrating transformers and controllable convolutional encoders\u2013decoders","author":"Goceri","year":"2026","journal-title":"J. Imaging Inform. Med."},{"key":"10.1016\/j.inffus.2026.104433_bib0038","doi-asserted-by":"crossref","first-page":"1328","DOI":"10.1109\/TCSVT.2025.3545795","article-title":"Towards general-purpose video reconstruction through synergy of grid-splicing diffusion and large language models","volume":"36","author":"Liu","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.inffus.2026.104433_bib0039","series-title":"11th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2017)","first-page":"4","article-title":"Intensity normalization in brain MR images using spatially varying distribution matching","author":"Goceri","year":"2017"},{"issue":"11","key":"10.1016\/j.inffus.2026.104433_bib0040","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1145\/3422622","article-title":"Generative adversarial networks","volume":"63","author":"Goodfellow","year":"2020","journal-title":"Commun. ACM"},{"key":"10.1016\/j.inffus.2026.104433_bib0041","first-page":"2180","article-title":"InfoGAN: interpretable representation learning by information maximizing generative adversarial nets","volume":"29","author":"Chen","year":"2016","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.inffus.2026.104433_bib0042","series-title":"Proceedings of the IEEE International Conference on Computer Vision","first-page":"2794","article-title":"Least squares generative adversarial networks","author":"Mao","year":"2017"},{"key":"10.1016\/j.inffus.2026.104433_bib0043","first-page":"5579","article-title":"Improved training of wasserstein gans","volume":"30","author":"Gulrajani","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"issue":"4","key":"10.1016\/j.inffus.2026.104433_bib0044","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1016\/j.asej.2016.10.001","article-title":"Event triggered intelligent video recording system using MS-SSIM for smart home security","volume":"9","author":"Khalaf","year":"2018","journal-title":"AIN Shams Eng. J."},{"issue":"11","key":"10.1016\/j.inffus.2026.104433_bib0045","doi-asserted-by":"crossref","first-page":"3662","DOI":"10.1109\/JSAC.2023.3310097","article-title":"Digital twin empowered wireless healthcare monitoring for smart home","volume":"41","author":"Chen","year":"2023","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"10.1016\/j.inffus.2026.104433_bib0046","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2025.108705","article-title":"Advancing hierarchical neural networks with scale-aware pyramidal feature learning for medical image dense prediction","volume":"265","author":"Liu","year":"2025","journal-title":"Comput. Methods Programs Biomed."},{"issue":"1","key":"10.1016\/j.inffus.2026.104433_bib0047","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1038\/s41377-023-01296-y","article-title":"PhaseFIT: live-organoid phase-fluorescent image transformation via generative AI","volume":"12","author":"Zhao","year":"2023","journal-title":"Light Sci. Appl."},{"key":"10.1016\/j.inffus.2026.104433_bib0048","doi-asserted-by":"crossref","first-page":"5862","DOI":"10.1109\/JBHI.2025.3548048","article-title":"Counterfactual bidirectional co-Attention transformer for integrative histology-genomic cancer risk stratification","volume":"29","author":"Ji","year":"2025","journal-title":"IEEE J. Biomed. Health Inform."}],"container-title":["Information Fusion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526003131?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526003131?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T01:02:49Z","timestamp":1783126969000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1566253526003131"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":48,"alternative-id":["S1566253526003131"],"URL":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104433","relation":{},"ISSN":["1566-2535"],"issn-type":[{"value":"1566-2535","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"SelSSM: Selective state space module empowered generative adversarial networks for multi-modal MR image synthesis","name":"articletitle","label":"Article Title"},{"value":"Information Fusion","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104433","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104433"}}