{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T22:28:36Z","timestamp":1743028116776,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031669576"},{"type":"electronic","value":"9783031669583"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-66958-3_16","type":"book-chapter","created":{"date-parts":[[2024,7,23]],"date-time":"2024-07-23T20:20:08Z","timestamp":1721766008000},"page":"216-226","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multimodal Deformable Image Registration for\u00a0Long-COVID Analysis Based on\u00a0Progressive Alignment and\u00a0Multi-perspective Loss"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-7903-9875","authenticated-orcid":false,"given":"Jiahua","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7223-4031","authenticated-orcid":false,"given":"James T.","family":"Grist","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5121-3917","authenticated-orcid":false,"given":"Fergus V.","family":"Gleeson","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8432-2511","authenticated-orcid":false,"given":"Bart\u0142omiej W.","family":"Papie\u017c","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,24]]},"reference":[{"issue":"6486","key":"16_CR1","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1038\/370199a0","volume":"370","author":"M Albert","year":"1994","unstructured":"Albert, M., et al.: Biological magnetic resonance imaging using laser-polarized 129Xe. Nature 370(6486), 199\u2013201 (1994)","journal-title":"Nature"},{"key":"16_CR2","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/978-3-030-52791-4_16","volume-title":"Medical Image Understanding and Analysis","author":"ER Anas","year":"2020","unstructured":"Anas, E.R., Onsy, A., Matuszewski, B.J.: CT scan registration with 3d dense motion field estimation using LSGAN. In: Papie\u017c, B.W., Namburete, A.I.L., Yaqub, M., Noble, J.A. (eds.) MIUA 2020. CCIS, vol. 1248, pp. 195\u2013207. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-52791-4_16"},{"issue":"1","key":"16_CR3","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.media.2007.06.004","volume":"12","author":"BB Avants","year":"2008","unstructured":"Avants, B.B., Epstein, C.L., Grossman, M., Gee, J.C.: Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med. Image Anal. 12(1), 26\u201341 (2008)","journal-title":"Med. Image Anal."},{"issue":"8","key":"16_CR4","doi-asserted-by":"publisher","first-page":"1788","DOI":"10.1109\/TMI.2019.2897538","volume":"38","author":"G Balakrishnan","year":"2019","unstructured":"Balakrishnan, G., Zhao, A., Sabuncu, M.R., Guttag, J., Dalca, A.V.: VoxelMorph: a learning framework for deformable medical image registration. IEEE Trans. Med. Imaging 38(8), 1788\u20131800 (2019)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"10350","key":"16_CR5","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1016\/S0140-6736(22)01214-4","volume":"400","author":"AV Ballering","year":"2022","unstructured":"Ballering, A.V., van Zon, S.K., Olde Hartman, T.C., Rosmalen, J.G.: Persistence of somatic symptoms after Covid-19 in The Netherlands: an observational cohort study. The Lancet 400(10350), 452\u2013461 (2022)","journal-title":"The Lancet"},{"key":"16_CR6","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.media.2018.11.010","volume":"52","author":"BD De Vos","year":"2019","unstructured":"De Vos, B.D., Berendsen, F.F., Viergever, M.A., Sokooti, H., Staring, M., I\u0161gum, I.: A deep learning framework for unsupervised affine and deformable image registration. Med. Image Anal. 52, 128\u2013143 (2019)","journal-title":"Med. Image Anal."},{"issue":"3","key":"16_CR7","doi-asserted-by":"publisher","first-page":"297","DOI":"10.2307\/1932409","volume":"26","author":"LR Dice","year":"1945","unstructured":"Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297\u2013302 (1945)","journal-title":"Ecology"},{"issue":"2","key":"16_CR8","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1109\/TMI.2010.2076299","volume":"30","author":"J Ehrhardt","year":"2010","unstructured":"Ehrhardt, J., Werner, R., Schmidt-Richberg, A., Handels, H.: Statistical modeling of 4D respiratory lung motion using diffeomorphic image registration. IEEE Trans. Med. Imaging 30(2), 251\u2013265 (2010)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"3","key":"16_CR9","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1148\/radiol.220069","volume":"305","author":"JT Grist","year":"2022","unstructured":"Grist, J.T., et al.: Lung abnormalities detected with hyperpolarized 129Xe MRI in patients with long Covid. Radiology 305(3), 709\u2013717 (2022)","journal-title":"Radiology"},{"key":"16_CR10","unstructured":"Guo, C.K.: Multi-modal image registration with unsupervised deep learning. Ph.D. thesis, Massachusetts Institute of Technology (2019)"},{"issue":"7","key":"16_CR11","doi-asserted-by":"publisher","first-page":"1423","DOI":"10.1016\/j.media.2012.05.008","volume":"16","author":"MP Heinrich","year":"2012","unstructured":"Heinrich, M.P., et al.: MIND: modality independent neighbourhood descriptor for multi-modal deformable registration. Med. Image Anal. 16(7), 1423\u20131435 (2012)","journal-title":"Med. Image Anal."},{"key":"16_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/978-3-642-40811-3_24","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2013","author":"MP Heinrich","year":"2013","unstructured":"Heinrich, M.P., Jenkinson, M., Papie\u017c, B.W., Brady, S.M., Schnabel, J.A.: Towards realtime multimodal fusion for image-guided interventions using self-similarities. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part I 16. LNCS, vol. 8149, pp. 187\u2013194. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-40811-3_24"},{"issue":"3","key":"16_CR13","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1023\/A:1020830525823","volume":"50","author":"G Hermosillo","year":"2002","unstructured":"Hermosillo, G., Chefd\u2019Hotel, C., Faugeras, O.: Variational methods for multimodal image matching. Int. J. Comput. Vis. 50(3), 329\u2013343 (2002)","journal-title":"Int. J. Comput. Vis."},{"key":"16_CR14","doi-asserted-by":"crossref","unstructured":"Hu, Y., et al.: Label-driven weakly-supervised learning for multimodal deformable image registration. In: 15th ISBI, pp. 1070\u20131074. IEEE (2018)","DOI":"10.1109\/ISBI.2018.8363756"},{"key":"16_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.media.2018.07.002","volume":"49","author":"Y Hu","year":"2018","unstructured":"Hu, Y., et al.: Weakly-supervised convolutional neural networks for multimodal image registration. Med. Image Anal. 49, 1\u201313 (2018)","journal-title":"Med. Image Anal."},{"key":"16_CR16","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.media.2016.10.008","volume":"36","author":"R Hua","year":"2017","unstructured":"Hua, R., Pozo, J.M., Taylor, Z.A., Frangi, A.F.: Multiresolution extended free-form deformations (XFFD) for non-rigid registration with discontinuous transforms. Med. Image Anal. 36, 113\u2013122 (2017)","journal-title":"Med. Image Anal."},{"key":"16_CR17","unstructured":"Jaderberg, M., Simonyan, K., Zisserman, A., et\u00a0al.: Spatial transformer networks. In: NIPS, vol. 28 (2015)"},{"issue":"2","key":"16_CR18","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1109\/42.563664","volume":"16","author":"F Maes","year":"1997","unstructured":"Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., Suetens, P.: Multimodality image registration by maximization of mutual information. IEEE Trans. Med. Imaging 16(2), 187\u2013198 (1997)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"16_CR19","doi-asserted-by":"crossref","unstructured":"Mugler, J.P., III., Altes, T.A.: Hyperpolarized 129Xe MRI of the human lung. J. Magn. Reson. Imaging 37(2), 313\u2013331 (2013)","DOI":"10.1002\/jmri.23844"},{"issue":"8","key":"16_CR20","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.1016\/j.media.2014.05.005","volume":"18","author":"BW Papie\u017c","year":"2014","unstructured":"Papie\u017c, B.W., Heinrich, M.P., Fehrenbach, J., Risser, L., Schnabel, J.A.: An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration. Med. Image Anal. 18(8), 1299\u20131311 (2014)","journal-title":"Med. Image Anal."},{"key":"16_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/978-3-030-20351-1_19","volume-title":"Information Processing in Medical Imaging","author":"C Qin","year":"2019","unstructured":"Qin, C., Shi, B., Liao, R., Mansi, T., Rueckert, D., Kamen, A.: Unsupervised deformable registration for multi-modal images via disentangled representations. In: Chung, A.C.S., Gee, J.C., Yushkevich, P.A., Bao, S. (eds.) IPMI 2019. LNCS, vol. 11492, pp. 249\u2013261. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-20351-1_19"},{"issue":"8","key":"16_CR22","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/42.796284","volume":"18","author":"D Rueckert","year":"1999","unstructured":"Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans. Med. Imaging 18(8), 712\u2013721 (1999)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"7","key":"16_CR23","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1109\/TMI.2013.2265603","volume":"32","author":"A Sotiras","year":"2013","unstructured":"Sotiras, A., Davatzikos, C., Paragios, N.: Deformable medical image registration: a survey. IEEE Trans. Med. Imaging 32(7), 1153\u20131190 (2013)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"16_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1007\/978-3-030-00946-5_26","volume-title":"Image Analysis for Moving Organ, Breast, and Thoracic Images","author":"A Szmul","year":"2018","unstructured":"Szmul, A., Matin, T., Gleeson, F.V., Schnabel, J.A., Grau, V., Papie\u017c, B.W.: XeMRI to CT lung image registration enhanced with personalized 4DCT-derived motion model. In: Stoyanov, D., et al. (eds.) RAMBO\/BIA\/TIA -2018. LNCS, vol. 11040, pp. 260\u2013271. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00946-5_26"},{"key":"16_CR25","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.compmedimag.2019.04.002","volume":"74","author":"A Szmul","year":"2019","unstructured":"Szmul, A., Matin, T., Gleeson, F.V., Schnabel, J.A., Grau, V., Papie\u017c, B.W.: Patch-based lung ventilation estimation using multi-layer supervoxels. Comput. Med. Imaging Graph. 74, 49\u201360 (2019)","journal-title":"Comput. Med. Imaging Graph."},{"key":"16_CR26","doi-asserted-by":"crossref","unstructured":"Wells, W.M., III., Viola, P., Atsumi, H., Nakajima, S., Kikinis, R.: Multi-modal volume registration by maximization of mutual information. Med. Image Anal. 1(1), 35\u201351 (1996)","DOI":"10.1016\/S1361-8415(01)80004-9"},{"key":"16_CR27","doi-asserted-by":"crossref","unstructured":"Zhao, S., Dong, Y., Chang, E.I., Xu, Y., et\u00a0al.: Recursive cascaded networks for unsupervised medical image registration. In: ICCV, pp. 10600\u201310610 (2019)","DOI":"10.1109\/ICCV.2019.01070"},{"key":"16_CR28","doi-asserted-by":"publisher","first-page":"103038","DOI":"10.1016\/j.media.2023.103038","volume":"91","author":"JQ Zheng","year":"2024","unstructured":"Zheng, J.Q., Wang, Z., Huang, B., Lim, N.H., Papie\u017c, B.W.: Residual aligner-based network (RAN): motion-separable structure for coarse-to-fine discontinuous deformable registration. Med. Image Anal. 91, 103038 (2024)","journal-title":"Med. Image Anal."},{"key":"16_CR29","doi-asserted-by":"publisher","unstructured":"Zheng, J.Q., Wang, Z., Huang, B., Vincent, T., Lim, N.H., Papie\u017c, B.W.: Recursive deformable image registration network with mutual attention. In: Yang, G., Aviles-Rivero, A., Roberts, M., Sch\u00d6nlieb, CB. (eds.) Medical Image Understanding and Analysis, MIUA 2022. LNCS, Cambridge, UK, 27\u201329 July 2022, vol. 13413, pp. 75\u201386. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-12053-4_6","DOI":"10.1007\/978-3-031-12053-4_6"}],"container-title":["Lecture Notes in Computer Science","Medical Image Understanding and Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-66958-3_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T07:04:50Z","timestamp":1729580690000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-66958-3_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031669576","9783031669583"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-66958-3_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"24 July 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MIUA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Annual Conference on Medical Image Understanding and Analysis","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Manchester","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miua2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/miua2024.github.io\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}