{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T10:12:03Z","timestamp":1790244723795,"version":"4.1.0"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032382597","type":"print"},{"value":"9783032382603","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T00:00:00Z","timestamp":1790294400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T00:00:00Z","timestamp":1790294400000},"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":[[2027]]},"DOI":"10.1007\/978-3-032-38260-3_8","type":"book-chapter","created":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T09:57:01Z","timestamp":1790243821000},"page":"78-88","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Contrast-Invariant Reference-Based Slice Thickness Estimation in\u00a0MRI via\u00a0Spectral Matching"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8634-8128","authenticated-orcid":false,"given":"Samuel\u00a0W.","family":"Remedios","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8679-9615","authenticated-orcid":false,"given":"Shuwen","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4939-5085","authenticated-orcid":false,"given":"Aaron","family":"Carass","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6553-0876","authenticated-orcid":false,"given":"Jerry L.","family":"Prince","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4554-5058","authenticated-orcid":false,"given":"Blake E.","family":"Dewey","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,25]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Altahawi, F., Pierce, J., Aslan, M., Li, X., Winalski, C.S., Subhas, N.: 3D MRI of the knee. Seminars Musculoskeletal Radiol. 25, 455\u2013467. Thieme Medical Publishers, Inc (2021)","DOI":"10.1055\/s-0041-1730400"},{"key":"8_CR2","unstructured":"Bachrata, B., Bollmann, S., Grabner, G., Trattnig, S., Robinson, S.: Isotropic QSM in seconds using super-resolution 2D EPI imaging in 3 orthogonal planes. In: Proceedings 2022 ISMRM SMRT Annual Meet Exhibit Lond, p. 2363., London, England (2022)"},{"key":"8_CR3","unstructured":"Bell-Kligler, S., Shocher, A., Irani, M.: Blind super-resolution kernel estimation using an internal-GAN. In: Advances in Neural Information Processing Systems, vol. 32 (2019)"},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Bernstein, M.A., King, K.F., Zhou, X.J.: Handbook of MRI Pulse Sequences. Elsevier (2004)","DOI":"10.1016\/B978-012092861-3\/50021-2"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Grande, D., Hinterholzer, F., Nanz, N., D.: 3D MRI: technical considerations and practical integration. Seminars Musculoskeletal Radiol. 25, 381\u2013387. Thieme Medical Publishers, Inc (2021)","DOI":"10.1055\/s-0041-1731059"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Fergus, R., Singh, B., Hertzmann, A., Roweis, S.T., Freeman, W.T.: Removing camera shake from a single photograph. In: ACM SIGGRAPH, pp. 787\u2013794 (2006)","DOI":"10.1145\/1141911.1141956"},{"issue":"5","key":"8_CR7","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1016\/S0730-725X(02)00511-8","volume":"20","author":"H Greenspan","year":"2002","unstructured":"Greenspan, H., Oz, G., Kiryati, N., Peled, S.: MRI inter-slice reconstruction using super-resolution. Magn. Reson. Imaging 20(5), 437\u2013446 (2002)","journal-title":"Magn. Reson. Imaging"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Hacohen, Y., Shechtman, E., Lischinski, D.: Deblurring by example using dense correspondence. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2384\u20132391 (2013)","DOI":"10.1109\/ICCV.2013.296"},{"key":"8_CR9","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.mri.2023.01.012","volume":"98","author":"S Han","year":"2023","unstructured":"Han, S., Remedios, S.W., Sch\u00e4r, M., Carass, A., Prince, J.L.: ESPRESO: an algorithm to estimate the slice profile of a single magnetic resonance image. Magn. Reson. Imaging 98, 155\u2013163 (2023)","journal-title":"Magn. Reson. Imaging"},{"key":"8_CR10","unstructured":"Knutsson, H.: Producing a continuous and distance preserving 5-d vector representation of 3-d orientation. In: Proceedings of the IEEE Computer Society Workshop on Computer Architecture for Pattern Analysis and Image Database Management, pp. 175\u2013182. IEEE Computer Society (1985)"},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"LaMontagne, P.J., et al.: OASIS-3: longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and Alzheimer Disease. medRxiv pp. 2019\u201312 (2019)","DOI":"10.1101\/2019.12.13.19014902"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Lee, R., Li, R., Venieris, S., Hospedales, T., Husz\u00e1r, F., Lane, N.D.: Meta-learned kernel for blind super-resolution kernel estimation. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 1496\u20131505 (2024)","DOI":"10.1109\/WACV57701.2024.00152"},{"issue":"12","key":"8_CR13","doi-asserted-by":"publisher","first-page":"2354","DOI":"10.1109\/TPAMI.2011.148","volume":"33","author":"A Levin","year":"2011","unstructured":"Levin, A., Weiss, Y., Durand, F., Freeman, W.T.: Understanding blind deconvolution algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 33(12), 2354\u20132367 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Pan, J., Hu, Z., Su, Z., Yang, M.H.: Deblurring face images with exemplars. In: Computer Vision - ECCV 2014, pp. 47\u201362. Springer, Cham (2014)","DOI":"10.1007\/978-3-319-10584-0_4"},{"issue":"6","key":"8_CR15","doi-asserted-by":"publisher","first-page":"1412","DOI":"10.1109\/TPAMI.2018.2832125","volume":"41","author":"J Pan","year":"2018","unstructured":"Pan, J., Ren, W., Hu, Z., Yang, M.H.: Learning to deblur images with exemplars. IEEE Trans. Pattern Anal. Mach. Intell. 41(6), 1412\u20131425 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"8_CR16","unstructured":"Remedios, S.W., Carass, A., Prince, J.L., Dewey, B.E.: Diffusion-driven generation of minimally preprocessed brain MRI. arXiv preprint arXiv:2510.26834 (2025)"},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Remedios, S.W., Han, S., Zuo, L., Carass, A., Pham, D.L., Prince, J.L., Dewey, B.E.: Self-supervised super-resolution for anisotropic mr images with and without slice gap. In: International Workshop on Simulation and Synthesis in Medical Imaging, pp. 118\u2013128. Springer (2023)","DOI":"10.1007\/978-3-031-44689-4_12"},{"key":"8_CR18","doi-asserted-by":"crossref","unstructured":"Stough, J.V., Glaister, J., Ye, C., Ying, S.H., Prince, J.L., Carass, A.: Automatic method for thalamus parcellation using multi-modal feature classification. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 169\u2013176. Springer (2014)","DOI":"10.1007\/978-3-319-10443-0_22"},{"issue":"1","key":"8_CR19","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/s12975-020-00843-8","volume":"12","author":"MS Stringer","year":"2021","unstructured":"Stringer, M.S., et al.: A review of translational magnetic resonance imaging in human and rodent experimental models of small vessel disease. Transl. Stroke Res. 12(1), 15\u201330 (2021)","journal-title":"Transl. Stroke Res."},{"issue":"4","key":"8_CR20","doi-asserted-by":"publisher","first-page":"2222","DOI":"10.1016\/j.neuroimage.2012.02.018","volume":"62","author":"DC Van Essen","year":"2012","unstructured":"Van Essen, D.C., et al.: The human connectome project: a data acquisition perspective. Neuroimage 62(4), 2222\u20132231 (2012)","journal-title":"Neuroimage"},{"key":"8_CR21","unstructured":"Wang, Y., Yu, J., Zhang, J.: Zero-shot image restoration using denoising diffusion null-space model. In: The Eleventh International Conference on Learning Representations (2023)"},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Zabih, R., Woodfill, J.: Non-parametric local transforms for computing visual correspondence. In: European Conference on Computer Vision. pp. 151\u2013158. Springer, Berlin, Heidelberg (1994)","DOI":"10.1007\/BFb0028345"},{"issue":"3","key":"8_CR23","doi-asserted-by":"publisher","first-page":"805","DOI":"10.1109\/TMI.2020.3037187","volume":"40","author":"C Zhao","year":"2021","unstructured":"Zhao, C., Dewey, B.E., Pham, D.L., Calabresi, P.A., Reich, D.S., Prince, J.L.: SMORE: a self-supervised anti-aliasing and super-resolution algorithm for MRI using deep learning. IEEE Trans. Med. Imaging 40(3), 805\u2013817 (2021)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"8_CR24","doi-asserted-by":"crossref","unstructured":"Zheng, H., Yong, H., Zhang, L.: Unfolded deep kernel estimation for blind image super-resolution. In: European Conference on Computer Vision, pp. 502\u2013518. Springer (2022)","DOI":"10.1007\/978-3-031-19797-0_29"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2026"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-38260-3_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T09:57:09Z","timestamp":1790243829000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-38260-3_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,25]]},"ISBN":["9783032382597","9783032382603"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-38260-3_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,25]]},"assertion":[{"value":"25 September 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","label":"Disclosure of Interests","group":{"name":"EthicsHeading","label":"Ethics"}},{"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":"Strasbourg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2026\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}