{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T22:41:11Z","timestamp":1759358471097,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030597276"},{"type":"electronic","value":"9783030597283"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-59728-3_24","type":"book-chapter","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T10:03:00Z","timestamp":1601632980000},"page":"238-248","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Construction of Spatiotemporal Infant Cortical Surface Functional Templates"],"prefix":"10.1007","author":[{"given":"Ying","family":"Huang","sequence":"first","affiliation":[]},{"given":"Fan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhengwang","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Zengsi","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Han","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Li","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Weili","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Dinggang","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Gang","family":"Li","sequence":"additional","affiliation":[]},{"name":"the UNC\/UMN Baby Connectome Project Consortium","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,29]]},"reference":[{"key":"24_CR1","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1016\/j.neuroimage.2018.03.042","volume":"185","author":"G Li","year":"2019","unstructured":"Li, G., Wang, L., Yap, P.-T., Wang, F., Wu, Z., Meng, Y., Dong, P., Kim, J., Shi, F., Rekik, I.: Computational neuroanatomy of baby brains: a review. NeuroImage 185, 906\u2013925 (2019)","journal-title":"NeuroImage"},{"key":"24_CR2","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1016\/j.neuroimage.2018.04.003","volume":"185","author":"K Oishi","year":"2019","unstructured":"Oishi, K., Chang, L., Huang, H.: Baby brain atlases. NeuroImage 185, 865\u2013880 (2019)","journal-title":"NeuroImage"},{"issue":"13","key":"24_CR3","doi-asserted-by":"crossref","first-page":"3860","DOI":"10.1002\/hbm.24636","volume":"40","author":"Z Wu","year":"2019","unstructured":"Wu, Z., Wang, L., Lin, W., Gilmore, J.H., Li, G., Shen, D.: Construction of 4D infant cortical surface atlases with sharp folding patterns via spherical patch-based group-wise sparse representation. Hum. Brain Mapp. 40(13), 3860\u20133880 (2019)","journal-title":"Hum. Brain Mapp."},{"key":"24_CR4","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.neuroimage.2018.06.018","volume":"179","author":"J Bozek","year":"2018","unstructured":"Bozek, J., Makropoulos, A., Schuh, A., Fitzgibbon, S., Wright, R., Glasser, M.F., Coalson, T.S., O\u2019Muircheartaigh, J., Hutter, J., Price, A.N.: Construction of a neonatal cortical surface atlas using multimodal surface matching in the developing Human Connectome Project. NeuroImage 179, 11\u201329 (2018)","journal-title":"NeuroImage"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Li, G., Wang, L., Shi, F., Lin, W., Shen, D.: Constructing 4D infant cortical surface atlases based on dynamic developmental trajectories of the cortex. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 89\u201396 (2014)","DOI":"10.1007\/978-3-319-10443-0_12"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Wang, F., Lian, C., Xia, J., Wu, Z., Duan, D., Wang, L., Shen, D., Li, G.: Construction of spatiotemporal infant cortical surface atlas of rhesus macaque. In: 2018 IEEE 15th International Symposium on Biomedical Imaging, pp. 704\u2013707 (2018)","DOI":"10.1109\/ISBI.2018.8363671"},{"key":"24_CR7","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1016\/j.neuroimage.2015.05.087","volume":"120","author":"R Wright","year":"2015","unstructured":"Wright, R., Makropoulos, A., Kyriakopoulou, V., Patkee, P.A., Koch, L.M., Rutherford, M.A., Hajnal, J.V., Rueckert, D., Aljabar, P.: Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: application of spectral surface matching. NeuroImage 120, 467\u2013480 (2015)","journal-title":"NeuroImage"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Wu, Z., Li, G., Wang, L., Lin, W., Gilmore, J.H., Shen, D.: Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset. In: 2018 IEEE 15th International Symposium on Biomedical Imaging, pp. 1056\u20131059 (2018)","DOI":"10.1109\/ISBI.2018.8363753"},{"issue":"13","key":"24_CR9","doi-asserted-by":"crossref","first-page":"3881","DOI":"10.1002\/hbm.24637","volume":"40","author":"J Xia","year":"2019","unstructured":"Xia, J., Wang, F., Benkarim, O.M., Sanroma, G., Piella, G., Gonz\u00e1lez Ballester, M.A., Hahner, N., Eixarch, E., Zhang, C., Shen, D.: Fetal cortical surface atlas parcellation based on growth patterns. Hum. Brain Mapp. 40(13), 3881\u20133899 (2019)","journal-title":"Hum. Brain Mapp."},{"key":"24_CR10","unstructured":"Conroy, B., Singer, B., Haxby, J., Ramadge, P.J.: fMRI-based inter-subject cortical alignment using functional connectivity. In: Advances in Neural Information Processing Systems, pp. 378\u2013386 (2009)"},{"key":"24_CR11","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/j.neuroimage.2013.05.093","volume":"82","author":"D Jiang","year":"2013","unstructured":"Jiang, D., Du, Y., Cheng, H., Jiang, T., Fan, Y.: Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns. Neuroimage 82, 355\u2013372 (2013)","journal-title":"Neuroimage"},{"issue":"1","key":"24_CR12","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1093\/cercor\/bhp085","volume":"20","author":"MR Sabuncu","year":"2010","unstructured":"Sabuncu, M.R., Singer, B.D., Conroy, B., Bryan, R.E., Ramadge, P.J., Haxby, J.V.: Function-based intersubject alignment of human cortical anatomy. Cereb. Cortex 20(1), 130\u2013140 (2010)","journal-title":"Cereb. Cortex"},{"key":"24_CR13","unstructured":"Yeo, B.T., Krienen, F.M., Sepulcre, J., Sabuncu, M.R., Lashkari, D., Hollinshead, M., Roffman, J.L., Smoller, J.W., Z\u00f6llei, L., Polimeni, J.R.: The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. (2011)"},{"issue":"8","key":"24_CR14","doi-asserted-by":"publisher","first-page":"2036","DOI":"10.1093\/cercor\/bht056","volume":"24","author":"GS Wig","year":"2014","unstructured":"Wig, G.S., Laumann, T.O., Cohen, A.L., Power, J.D., Nelson, S.M., Glasser, M.F., Miezin, F.M., Snyder, A.Z., Schlaggar, B.L., Petersen, S.E.: Parcellating an individual subject\u2019s cortical and subcortical brain structures using snowball sampling of resting-state correlations. Cereb. Cortex 24(8), 2036\u20132054 (2014)","journal-title":"Cereb. Cortex"},{"issue":"7615","key":"24_CR15","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1038\/nature18933","volume":"536","author":"MF Glasser","year":"2016","unstructured":"Glasser, M.F., Coalson, T.S., Robinson, E.C., Hacker, C.D., Harwell, J., Yacoub, E., Ugurbil, K., Andersson, J., Beckmann, C.F., Jenkinson, M.: A multi-modal parcellation of human cerebral cortex. Nature 536(7615), 171\u2013178 (2016)","journal-title":"Nature"},{"issue":"3","key":"24_CR16","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1016\/j.neuron.2015.06.037","volume":"87","author":"TO Laumann","year":"2015","unstructured":"Laumann, T.O., Gordon, E.M., Adeyemo, B., Snyder, A.Z., Joo, S.J., Chen, M.-Y., Gilmore, A.W., McDermott, K.B., Nelson, S.M., Dosenbach, N.U.: Functional system and areal organization of a highly sampled individual human brain. Neuron 87(3), 657\u2013670 (2015)","journal-title":"Neuron"},{"issue":"11","key":"24_CR17","doi-asserted-by":"publisher","first-page":"3090","DOI":"10.1016\/j.jfa.2018.03.008","volume":"274","author":"L Chizat","year":"2018","unstructured":"Chizat, L., Peyr\u00e9, G., Schmitzer, B., Vialard, F.-X.: Unbalanced optimal transport: Dynamic and Kantorovich formulations. J. Funct. Anal. 274(11), 3090\u20133123 (2018)","journal-title":"J. Funct. Anal."},{"issue":"314","key":"24_CR18","doi-asserted-by":"publisher","first-page":"2563","DOI":"10.1090\/mcom\/3303","volume":"87","author":"L Chizat","year":"2018","unstructured":"Chizat, L., Peyr\u00e9, G., Schmitzer, B., Vialard, F.-X.: Scaling algorithms for unbalanced optimal transport problems. Math. Comput. 87(314), 2563\u20132609 (2018)","journal-title":"Math. Comput."},{"key":"24_CR19","unstructured":"Janati, H., Cuturi, M., Gramfort, A.: Wasserstein regularization for sparse multi-task regression. In: The 22nd International Conference on Artificial Intelligence and Statistics, pp. 1407\u20131416 (2018)"},{"key":"24_CR20","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1016\/j.neuroimage.2018.03.049","volume":"185","author":"BR Howell","year":"2019","unstructured":"Howell, B.R., Styner, M.A., Gao, W., Yap, P.-T., Wang, L., Baluyot, K., Yacoub, E., Chen, G., Potts, T., Salzwedel, A.: The UNC\/UMN baby connectome project (BCP): an overview of the study design and protocol development. NeuroImage 185, 891\u2013905 (2019)","journal-title":"NeuroImage"},{"key":"24_CR21","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1016\/j.neuroimage.2013.12.038","volume":"90","author":"G Li","year":"2014","unstructured":"Li, G., Nie, J., Wang, L., Shi, F., Gilmore, J.H., Lin, W., Shen, D.: Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces. Neuroimage 90, 266\u2013279 (2014)","journal-title":"Neuroimage"},{"issue":"1","key":"24_CR22","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.media.2015.04.005","volume":"25","author":"G Li","year":"2015","unstructured":"Li, G., Wang, L., Shi, F., Gilmore, J.H., Lin, W., Shen, D.: Construction of 4D high-definition cortical surface atlases of infants: methods and applications. Med. Image Anal. 25(1), 22\u201336 (2015)","journal-title":"Med. Image Anal."},{"issue":"32","key":"24_CR23","doi-asserted-by":"publisher","first-page":"15855","DOI":"10.1073\/pnas.1821523116","volume":"116","author":"F Wang","year":"2019","unstructured":"Wang, F., Lian, C., Wu, Z., Zhang, H., Li, T., Meng, Y., Wang, L., Lin, W., Shen, D., Li, G.: Developmental topography of cortical thickness during infancy. Proc. Natl. Acad. Sci. 116(32), 15855\u201315860 (2019)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"10","key":"24_CR24","doi-asserted-by":"publisher","first-page":"2241","DOI":"10.1093\/cercor\/bhr291","volume":"22","author":"DC Van Essen","year":"2012","unstructured":"Van Essen, D.C., Glasser, M.F., Dierker, D.L., Harwell, J., Coalson, T.: Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases. Cereb. Cortex 22(10), 2241\u20132262 (2012)","journal-title":"Cereb. Cortex"},{"issue":"3","key":"24_CR25","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"},{"key":"24_CR26","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.: The minimal preprocessing pipelines for the Human Connectome Project. Neuroimage 80, 105\u2013124 (2013)","journal-title":"Neuroimage"},{"issue":"1","key":"24_CR27","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1093\/cercor\/bhu239","volume":"26","author":"EM Gordon","year":"2016","unstructured":"Gordon, E.M., Laumann, T.O., Adeyemo, B., Huckins, J.F., Kelley, W.M., Petersen, S.E.: Generation and evaluation of a cortical area parcellation from resting-state correlations. Cereb. Cortex 26(1), 288\u2013303 (2016)","journal-title":"Cereb. Cortex"},{"key":"24_CR28","unstructured":"Cuturi, M.: Sinkhorn distances: lightspeed computation of optimal transport. In: Advances in neural information processing systems, pp. 2292\u20132300 (2013)"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59728-3_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T22:05:38Z","timestamp":1759356338000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59728-3_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030597276","9783030597283"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59728-3_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"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":"Lima","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Peru","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2020.org\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1809","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"542","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}