{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T09:48:17Z","timestamp":1758361697648,"version":"3.44.0"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783032053244"},{"type":"electronic","value":"9783032053251"}],"license":[{"start":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T00:00:00Z","timestamp":1758326400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T00:00:00Z","timestamp":1758326400000},"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\/978-3-032-05325-1_52","type":"book-chapter","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T19:05:59Z","timestamp":1758308759000},"page":"544-554","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Spherical Diffusion Process for\u00a0Score-Guided Cortical Correspondence via\u00a0Spectral Attention"],"prefix":"10.1007","author":[{"given":"Seungeun","family":"Lee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sergey","family":"Pyatkovskiy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaejun","family":"Yoo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5868-9603","authenticated-orcid":false,"given":"Ilwoo","family":"Lyu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,20]]},"reference":[{"issue":"3","key":"52_CR1","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/0304-4149(82)90051-5","volume":"12","author":"BD Anderson","year":"1982","unstructured":"Anderson, B.D.: Reverse-time diffusion equation models. Stochastic Processes and their Applications 12(3), 313\u2013326 (1982)","journal-title":"Stochastic Processes and their Applications"},{"issue":"6","key":"52_CR2","doi-asserted-by":"publisher","first-page":"1107","DOI":"10.1137\/0722066","volume":"22","author":"JR Baumgardner","year":"1985","unstructured":"Baumgardner, J.R., Frederickson, P.O.: Icosahedral discretization of the two-sphere. SIAM J. Numer. Anal. 22(6), 1107\u20131115 (1985)","journal-title":"SIAM J. Numer. Anal."},{"issue":"1","key":"52_CR3","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini, Y., Hochberg, Y.: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. Roy. Stat. Soc.: Ser. B (Methodol.) 57(1), 289\u2013300 (1995)","journal-title":"J. Roy. Stat. Soc.: Ser. B (Methodol.)"},{"key":"52_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117161","volume":"221","author":"J Cheng","year":"2020","unstructured":"Cheng, J., Dalca, A.V., Fischl, B., Z\u00f6llei, L., Initiative, A.D.N., et al.: Cortical surface registration using unsupervised learning. Neuroimage 221, 117161 (2020)","journal-title":"Neuroimage"},{"doi-asserted-by":"crossref","unstructured":"Choi, J., Kim, S., Jeong, Y., Gwon, Y., Yoon, S.: Ilvr: Conditioning method for denoising diffusion probabilistic models. arXiv preprint arXiv:2108.02938 (2021)","key":"52_CR5","DOI":"10.1109\/ICCV48922.2021.01410"},{"issue":"4","key":"52_CR6","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1109\/TMI.2007.892519","volume":"26","author":"MK Chung","year":"2007","unstructured":"Chung, M.K., Dalton, K.M., Shen, L., Evans, A.C., Davidson, R.J.: Weighted fourier series representation and its application to quantifying the amount of gray matter. IEEE Trans. Med. Imaging 26(4), 566\u2013581 (2007)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"52_CR7","first-page":"2406","volume":"35","author":"V De Bortoli","year":"2022","unstructured":"De Bortoli, V., Mathieu, E., Hutchinson, M., Thornton, J., Teh, Y.W., Doucet, A.: Riemannian score-based generative modelling. Adv. Neural. Inf. Process. Syst. 35, 2406\u20132422 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"52_CR8","first-page":"8780","volume":"34","author":"P Dhariwal","year":"2021","unstructured":"Dhariwal, P., Nichol, A.: Diffusion models beat gans on image synthesis. Adv. Neural. Inf. Process. Syst. 34, 8780\u20138794 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"2","key":"52_CR9","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","volume":"62","author":"B Fischl","year":"2012","unstructured":"Fischl, B.: Freesurfer. Neuroimage 62(2), 774\u2013781 (2012)","journal-title":"Freesurfer. Neuroimage"},{"issue":"4","key":"52_CR10","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1002\/(SICI)1097-0193(1999)8:4<272::AID-HBM10>3.0.CO;2-4","volume":"8","author":"B Fischl","year":"1999","unstructured":"Fischl, B., Sereno, M.I., Tootell, R.B., Dale, A.M.: High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum. Brain Mapp. 8(4), 272\u2013284 (1999)","journal-title":"Hum. Brain Mapp."},{"key":"52_CR11","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.neuroimage.2013.04.127","volume":"80","author":"MF Glasser","year":"2013","unstructured":"Glasser, M.F., Sotiropoulos, S.N., Wilson, J.A., Coalson, T.S., Fischl, B., Andersson, J.L., Xu, J., Jbabdi, S., Webster, M., Polimeni, J.R., et al.: The minimal preprocessing pipelines for the human connectome project. Neuroimage 80, 105\u2013124 (2013)","journal-title":"Neuroimage"},{"issue":"10","key":"52_CR12","doi-asserted-by":"publisher","first-page":"2739","DOI":"10.1109\/TMI.2022.3168670","volume":"41","author":"S Ha","year":"2022","unstructured":"Ha, S., Lyu, I.: Spharm-net: Spherical harmonics-based convolution for cortical parcellation. IEEE Trans. Med. Imaging 41(10), 2739\u20132751 (2022)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"52_CR13","first-page":"6840","volume":"33","author":"J Ho","year":"2020","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Adv. Neural. Inf. Process. Syst. 33, 6840\u20136851 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"unstructured":"Ho, J., Salimans, T.: Classifier-free diffusion guidance. arXiv preprint arXiv:2207.12598 (2022)","key":"52_CR14"},{"key":"52_CR15","first-page":"2750","volume":"35","author":"CW Huang","year":"2022","unstructured":"Huang, C.W., Aghajohari, M., Bose, J., Panangaden, P., Courville, A.C.: Riemannian diffusion models. Adv. Neural. Inf. Process. Syst. 35, 2750\u20132761 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"doi-asserted-by":"crossref","unstructured":"Kim, B., Han, I., Ye, J.C.: Diffusemorph: unsupervised deformable image registration using diffusion model. In: European Conference on Computer Vision. pp. 347\u2013364. Springer (2022)","key":"52_CR16","DOI":"10.1007\/978-3-031-19821-2_20"},{"key":"52_CR17","doi-asserted-by":"publisher","first-page":"171","DOI":"10.3389\/fnins.2012.00171","volume":"6","author":"A Klein","year":"2012","unstructured":"Klein, A., Tourville, J.: 101 labeled brain images and a consistent human cortical labeling protocol. Front. Neurosci. 6, 171 (2012)","journal-title":"Front. Neurosci."},{"doi-asserted-by":"crossref","unstructured":"Lee, S., Lee, S., Ryu, S., Lyu, I.: Spharm-reg: Unsupervised cortical surface registration using spherical harmonics. IEEE Transactions on Medical Imaging (2025)","key":"52_CR18","DOI":"10.1109\/TMI.2025.3581605"},{"doi-asserted-by":"crossref","unstructured":"Lee, S., Ryu, S., Lee, S., Lyu, I.: Unsupervised learning of cortical surface registration using spherical harmonics. In: International Workshop on Shape in Medical Imaging. pp. 65\u201374. Springer (2023)","key":"52_CR19","DOI":"10.1007\/978-3-031-46914-5_6"},{"key":"52_CR20","first-page":"80291","volume":"36","author":"A Lou","year":"2023","unstructured":"Lou, A., Xu, M., Farris, A., Ermon, S.: Scaling riemannian diffusion models. Adv. Neural. Inf. Process. Syst. 36, 80291\u201380305 (2023)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"52_CR21","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.media.2019.06.013","volume":"57","author":"I Lyu","year":"2019","unstructured":"Lyu, I., Kang, H., Woodward, N.D., Styner, M.A., Landman, B.A.: Hierarchical spherical deformation for cortical surface registration. Med. Image Anal. 57, 72\u201388 (2019)","journal-title":"Med. Image Anal."},{"key":"52_CR22","doi-asserted-by":"publisher","first-page":"210","DOI":"10.3389\/fnins.2015.00210","volume":"9","author":"I Lyu","year":"2015","unstructured":"Lyu, I., Kim, S.H., Seong, J.K., Yoo, S.W., Evans, A., Shi, Y., Sanchez, M., Niethammer, M., Styner, M.A.: Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies. Front. Neurosci. 9, 210 (2015)","journal-title":"Front. Neurosci."},{"doi-asserted-by":"crossref","unstructured":"Qin, Y., Li, X.: Fsdiffreg: Feature-wise and score-wise diffusion-guided unsupervised deformable image registration for cardiac images. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 655\u2013665. Springer (2023)","key":"52_CR23","DOI":"10.1007\/978-3-031-43999-5_62"},{"key":"52_CR24","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1016\/j.neuroimage.2014.05.069","volume":"100","author":"EC Robinson","year":"2014","unstructured":"Robinson, E.C., Jbabdi, S., Glasser, M.F., Andersson, J., Burgess, G.C., Harms, M.P., Smith, S.M., Van Essen, D.C., Jenkinson, M.: Msm: a new flexible framework for multimodal surface matching. Neuroimage 100, 414\u2013426 (2014)","journal-title":"Neuroimage"},{"unstructured":"Song, Y., Sohl-Dickstein, J., Kingma, D.P., Kumar, A., Ermon, S., Poole, B.: Score-based generative modeling through stochastic differential equations. arXiv preprint arXiv:2011.13456 (2020)","key":"52_CR25"},{"doi-asserted-by":"crossref","unstructured":"Suliman, M.A., Williams, L.Z., Fawaz, A., Robinson, E.C.: A deep-discrete learning framework for spherical surface registration. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 119\u2013129. Springer (2022)","key":"52_CR26","DOI":"10.1007\/978-3-031-16446-0_12"},{"unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., Polosukhin, I.: Attention is all you need. Advances in neural information processing systems 30 (2017)","key":"52_CR27"},{"issue":"3","key":"52_CR28","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1109\/TMI.2009.2030797","volume":"29","author":"BT Yeo","year":"2009","unstructured":"Yeo, B.T., Sabuncu, M.R., Vercauteren, T., Ayache, N., Fischl, B., Golland, P.: Spherical demons: fast diffeomorphic landmark-free surface registration. IEEE Trans. Med. Imaging 29(3), 650\u2013668 (2009)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"8","key":"52_CR29","doi-asserted-by":"publisher","first-page":"1964","DOI":"10.1109\/TMI.2021.3069645","volume":"40","author":"F Zhao","year":"2021","unstructured":"Zhao, F., Wu, Z., Wang, F., Lin, W., Xia, S., Shen, D., Wang, L., Li, G.: S3reg: superfast spherical surface registration based on deep learning. IEEE Trans. Med. Imaging 40(8), 1964\u20131976 (2021)","journal-title":"IEEE Trans. Med. Imaging"},{"doi-asserted-by":"crossref","unstructured":"Zhuo, Y., Shen, Y.: Diffusereg: Denoising diffusion model for obtaining deformation fields in unsupervised deformable image registration. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 597\u2013607. Springer (2024)","key":"52_CR30","DOI":"10.1007\/978-3-031-72069-7_56"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-05325-1_52","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T19:06:06Z","timestamp":1758308766000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-05325-1_52"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,20]]},"ISBN":["9783032053244","9783032053251"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-05325-1_52","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,9,20]]},"assertion":[{"value":"20 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare\u00a0that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","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":"27 September 2025","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":"miccai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}