{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T03:04:26Z","timestamp":1767323066836,"version":"3.48.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032139603","type":"print"},{"value":"9783032139610","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-13961-0_14","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T02:59:57Z","timestamp":1767322797000},"page":"133-142","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Triple Expert Adaptation Networks with\u00a0Adaptive Prompt Selection for\u00a0Multi-modal Medical Image Fusion"],"prefix":"10.1007","author":[{"given":"Cong","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"14_CR1","unstructured":"Ba, J.L., Kiros, J.R., Hinton, G.E.: Layer normalization. arXiv preprint arXiv:1607.06450 (2016)"},{"key":"14_CR2","unstructured":"Cao, K., et al.: Shuffle mamba: state space models with random shuffle for multi-modal image fusion. arXiv preprint arXiv:2409.01728 (2024)"},{"key":"14_CR3","doi-asserted-by":"crossref","unstructured":"Chen, Z., Zhang, Y., Gu, J., Kong, L., Yang, X., Yu, F.: Dual aggregation transformer for image super-resolution. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (2023)","DOI":"10.1109\/ICCV51070.2023.01131"},{"key":"14_CR4","doi-asserted-by":"publisher","first-page":"102488","DOI":"10.1016\/j.bspc.2021.102488","volume":"66","author":"J Fu","year":"2021","unstructured":"Fu, J., Li, W., Du, J., Huang, Y.: A multiscale residual pyramid attention network for medical image fusion. Biomed. Signal Process. Control 66, 102488 (2021)","journal-title":"Biomed. Signal Process. Control"},{"key":"14_CR5","unstructured":"Hou, Q., Lu, C.Z., Cheng, M.M., Feng, J.: Conv2Former: a simple transformer-style convnet for visual recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2022)"},{"key":"14_CR6","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. In: ICLR (2015)"},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Lahoud, F., S\u00fcsstrunk, S.: Zero-learning fast medical image fusion. In: 2019 22th International Conference on Information Fusion (FUSION), pp.\u00a01\u20138 (2019)","DOI":"10.23919\/FUSION43075.2019.9011178"},{"issue":"3","key":"14_CR8","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1006\/gmip.1995.1022","volume":"57","author":"H Li","year":"1995","unstructured":"Li, H., Manjunath, B., Mitra, S.K.: Multisensor image fusion using the wavelet transform. Graph. Models Image Process. 57(3), 235\u2013245 (1995)","journal-title":"Graph. Models Image Process."},{"issue":"3","key":"14_CR9","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/S1566-2535(01)00038-0","volume":"2","author":"S Li","year":"2001","unstructured":"Li, S., Kwok, J.T., Wang, Y.: Combination of images with diverse focuses using the spatial frequency. Inf. Fusion 2(3), 169\u2013176 (2001)","journal-title":"Inf. Fusion"},{"key":"14_CR10","unstructured":"Loshchilov, I., Hutter, F.: SGDR: stochastic gradient descent with warm restarts. In: ICLR (2017)"},{"issue":"7","key":"14_CR11","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1109\/JAS.2022.105686","volume":"9","author":"J Ma","year":"2022","unstructured":"Ma, J., Tang, L., Fan, F., Huang, J., Mei, X., Ma, Y.: SwinFusion: cross-domain long-range learning for general image fusion via swin transformer. IEEE\/CAA J. Autom. Sinica 9(7), 1200\u20131217 (2022)","journal-title":"IEEE\/CAA J. Autom. Sinica"},{"issue":"3","key":"14_CR12","doi-asserted-by":"publisher","first-page":"1204","DOI":"10.1109\/36.763274","volume":"37","author":"J Nunez","year":"1999","unstructured":"Nunez, J., Otazu, X., Fors, O., Prades, A., Pala, V., Arbiol, R.: Multiresolution-based image fusion with additive wavelet decomposition. IEEE Trans. Geosci. Remote Sens. 37(3), 1204\u20131211 (1999)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"14_CR13","unstructured":"Potlapalli, V., Zamir, S.W., Khan, S., Khan, F.: PromptIR: prompting for all-in-one image restoration. In: Thirty-Seventh Conference on Neural Information Processing Systems (2023)"},{"key":"14_CR14","unstructured":"Shazeer, N., et al.: Outrageously large neural networks: the sparsely-gated mixture-of-experts layer. arXiv preprint arXiv:1701.06538 (2017)"},{"issue":"4","key":"14_CR15","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/0167-8655(89)90003-2","volume":"9","author":"A Toet","year":"1989","unstructured":"Toet, A.: Image fusion by a ratio of low-pass pyramid. Pattern Recogn. Lett. 9(4), 245\u2013253 (1989)","journal-title":"Pattern Recogn. Lett."},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"Wang, W., Deng, L.J., Vivone, G.: A general image fusion framework using multi-task semi-supervised learning. Inf. Fusion 108, 102414 (2024)","DOI":"10.1016\/j.inffus.2024.102414"},{"key":"14_CR17","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1016\/j.inffus.2021.06.001","volume":"76","author":"H Xu","year":"2021","unstructured":"Xu, H., Ma, J.: EMFusion: an unsupervised enhanced medical image fusion network. Inf. Fusion 76, 177\u2013186 (2021)","journal-title":"Inf. Fusion"},{"issue":"1","key":"14_CR18","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1109\/TPAMI.2020.3012548","volume":"44","author":"H Xu","year":"2020","unstructured":"Xu, H., Ma, J., Jiang, J., Guo, X., Ling, H.: U2Fusion: a unified unsupervised image fusion network. IEEE Trans. Pattern Anal. Mach. Intell. 44(1), 502\u2013518 (2020)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"14_CR19","unstructured":"Yang, J., Li, C., Gao, J.: Focal modulation networks. arXiv (2022)"},{"key":"14_CR20","unstructured":"Zamfir, E., Wu, Z., Mehta, N., Zhang, Y., Timofte, R.: See more details: efficient image super-resolution by experts mining. In: Forty-First International Conference on Machine Learning (2024)"},{"issue":"8","key":"14_CR21","doi-asserted-by":"publisher","first-page":"1315","DOI":"10.1109\/5.775414","volume":"87","author":"Z Zhang","year":"1999","unstructured":"Zhang, Z., Blum, R.S.: A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application. Proc. IEEE 87(8), 1315\u20131326 (1999)","journal-title":"Proc. IEEE"},{"key":"14_CR22","doi-asserted-by":"crossref","unstructured":"Zhao, Z., et al.: CDDFuse: correlation-driven dual-branch feature decomposition for multi-modality image fusion. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5906\u20135916 (2023)","DOI":"10.1109\/CVPR52729.2023.00572"},{"key":"14_CR23","doi-asserted-by":"crossref","unstructured":"Zheng, N., et al.: Probing synergistic high-order interaction in infrared and visible image fusion. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, 16\u201322 June 2024, pp. 26374\u201326385 (2024)","DOI":"10.1109\/CVPR52733.2024.02492"}],"container-title":["Lecture Notes in Computer Science","Efficient Medical Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-13961-0_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T02:59:59Z","timestamp":1767322799000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-13961-0_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032139603","9783032139610"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-13961-0_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EMA4MICCAI 2025","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Efficient Medical Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ema4miccai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/view\/ema4miccai2025","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}