{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T19:26:29Z","timestamp":1743103589451,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031340475"},{"type":"electronic","value":"9783031340482"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-34048-2_53","type":"book-chapter","created":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T12:03:35Z","timestamp":1686139415000},"page":"692-704","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Improved Segmentation of\u00a0Deep Sulci in\u00a0Cortical Gray Matter Using a\u00a0Deep Learning Framework Incorporating Laplace\u2019s Equation"],"prefix":"10.1007","author":[{"given":"Sadhana","family":"Ravikumar","sequence":"first","affiliation":[]},{"given":"Ranjit","family":"Ittyerah","sequence":"additional","affiliation":[]},{"given":"Sydney","family":"Lim","sequence":"additional","affiliation":[]},{"given":"Long","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Sandhitsu","family":"Das","sequence":"additional","affiliation":[]},{"given":"Pulkit","family":"Khandelwal","sequence":"additional","affiliation":[]},{"given":"Laura E. M.","family":"Wisse","sequence":"additional","affiliation":[]},{"given":"Madigan L.","family":"Bedard","sequence":"additional","affiliation":[]},{"given":"John L.","family":"Robinson","sequence":"additional","affiliation":[]},{"given":"Terry","family":"Schuck","sequence":"additional","affiliation":[]},{"given":"Murray","family":"Grossman","sequence":"additional","affiliation":[]},{"given":"John Q.","family":"Trojanowski","sequence":"additional","affiliation":[]},{"given":"Edward B.","family":"Lee","sequence":"additional","affiliation":[]},{"given":"M. Dylan","family":"Tisdall","sequence":"additional","affiliation":[]},{"given":"Karthik","family":"Prabhakaran","sequence":"additional","affiliation":[]},{"given":"John A.","family":"Detre","sequence":"additional","affiliation":[]},{"given":"David J.","family":"Irwin","sequence":"additional","affiliation":[]},{"given":"Winifred","family":"Trotman","sequence":"additional","affiliation":[]},{"given":"Gabor","family":"Mizsei","sequence":"additional","affiliation":[]},{"given":"Emilio","family":"Artacho-P\u00e9rula","sequence":"additional","affiliation":[]},{"given":"Maria Mercedes I\u00f1iguez","family":"de Onzono Martin","sequence":"additional","affiliation":[]},{"given":"Maria","family":"del Mar Arroyo Jim\u00e9nez","sequence":"additional","affiliation":[]},{"given":"Monica","family":"Mu\u00f1oz","sequence":"additional","affiliation":[]},{"given":"Francisco Javier Molina","family":"Romero","sequence":"additional","affiliation":[]},{"given":"Maria","family":"del Pilar Marcos Rabal","sequence":"additional","affiliation":[]},{"given":"Sandra","family":"Cebada-S\u00e1nchez","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 Carlos Delgado","family":"Gonz\u00e1lez","sequence":"additional","affiliation":[]},{"given":"Carlos","family":"de la Rosa-Prieto","sequence":"additional","affiliation":[]},{"given":"Marta C\u00f3rcoles","family":"Parada","sequence":"additional","affiliation":[]},{"given":"David A.","family":"Wolk","sequence":"additional","affiliation":[]},{"given":"Ricardo","family":"Insausti","sequence":"additional","affiliation":[]},{"given":"Paul A.","family":"Yushkevich","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,8]]},"reference":[{"key":"53_CR1","doi-asserted-by":"crossref","unstructured":"Cruz, R.S., Lebrat, L., Bourgeat, P., Fookes, C., Fripp, J., Salvado, O.: DeepCSR: a 3D deep learning approach for cortical surface reconstruction. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 806\u2013815 (2021)","DOI":"10.1109\/WACV48630.2021.00085"},{"key":"53_CR2","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1016\/j.neuroimage.2017.11.054","volume":"167","author":"J DeKraker","year":"2018","unstructured":"DeKraker, J., Ferko, K.M., Lau, J.C., K\u00f6hler, S., Khan, A.R.: Unfolding the hippocampus: an intrinsic coordinate system for subfield segmentations and quantitative mapping. Neuroimage 167, 408\u2013418 (2018)","journal-title":"Neuroimage"},{"key":"53_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1007\/978-3-642-31125-3_4","volume-title":"Computational Science and Its Applications \u2013 ICCSA 2012","author":"I Epicoco","year":"2012","unstructured":"Epicoco, I., Mocavero, S.: The performance model of an enhanced parallel algorithm for the SOR method. In: Murgante, B., et al. (eds.) ICCSA 2012. LNCS, vol. 7333, pp. 44\u201356. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-31125-3_4"},{"issue":"2","key":"53_CR4","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":"Neuroimage"},{"issue":"3","key":"53_CR5","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1016\/j.neuroimage.2004.06.043","volume":"23","author":"X Han","year":"2004","unstructured":"Han, X., Pham, D.L., Tosun, D., Rettmann, M.E., Xu, C., Prince, J.L.: CRUISE: cortical reconstruction using implicit surface evolution. Neuroimage 23(3), 997\u20131012 (2004)","journal-title":"Neuroimage"},{"key":"53_CR6","unstructured":"Hansen, P.B.: Numerical solution of Laplace\u2019s equation (1992)"},{"key":"53_CR7","doi-asserted-by":"crossref","unstructured":"Henschel, L., Conjeti, S., Estrada, S., Diers, K., Fischl, B., Reuter, M.: Fastsurfer-a fast and accurate deep learning based neuroimaging pipeline. NeuroImage 219, 117012 (2020)","DOI":"10.1016\/j.neuroimage.2020.117012"},{"key":"53_CR8","unstructured":"Hoopes, A., Iglesias, J.E., Fischl, B., Greve, D., Dalca, A.V.: TopoFit: rapid reconstruction of topologically-correct cortical surfaces. In: Medical Imaging with Deep Learning (2021)"},{"issue":"2","key":"53_CR9","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","volume":"18","author":"F Isensee","year":"2021","unstructured":"Isensee, F., Jaeger, P.F., Kohl, S.A., Petersen, J., Maier-Hein, K.H.: nnU-net: a self-configuring method for deep learning-based biomedical image segmentation. Nat. Methods 18(2), 203\u2013211 (2021)","journal-title":"Nat. Methods"},{"issue":"1","key":"53_CR10","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1002\/1097-0193(200009)11:1<12::AID-HBM20>3.0.CO;2-K","volume":"11","author":"SE Jones","year":"2000","unstructured":"Jones, S.E., Buchbinder, B.R., Aharon, I.: Three-dimensional mapping of cortical thickness using Laplace\u2019s equation. Hum. Brain Mapp. 11(1), 12\u201332 (2000)","journal-title":"Hum. Brain Mapp."},{"issue":"1","key":"53_CR11","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1016\/j.neuroimage.2005.03.036","volume":"27","author":"JS Kim","year":"2005","unstructured":"Kim, J.S., et al.: Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification. Neuroimage 27(1), 210\u2013221 (2005)","journal-title":"Neuroimage"},{"key":"53_CR12","doi-asserted-by":"crossref","unstructured":"Ma, Q., Robinson, E.C., Kainz, B., Rueckert, D., Alansary, A.: PialNN: a fast deep learning framework for cortical pial surface reconstruction. In: International Workshop on Machine Learning in Clinical Neuroimaging, pp. 73\u201381 (2021)","DOI":"10.1007\/978-3-030-87586-2_8"},{"issue":"3","key":"53_CR13","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/0031-3203(94)00105-U","volume":"28","author":"R Ogniewicz","year":"1995","unstructured":"Ogniewicz, R., K\u00fcbler, O.: Hierarchic Voronoi skeletons. Pattern Recognit. 28(3), 343\u2013359 (1995)","journal-title":"Pattern Recognit."},{"key":"53_CR14","doi-asserted-by":"crossref","unstructured":"Osechinskiy, S., Kruggel, F.: Cortical surface reconstruction from high-resolution MR brain images. Int. J. Biomed. Imaging 2012 (2012)","DOI":"10.1155\/2012\/870196"},{"key":"53_CR15","doi-asserted-by":"crossref","unstructured":"Ravikumar, S., Wisse, L., Gao, Y., Gerig, G., Yushkevich, P.: Facilitating manual segmentation of 3D datasets using contour and intensity guided interpolation. In: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), pp. 714\u2013718 (2019)","DOI":"10.1109\/ISBI.2019.8759500"},{"issue":"1","key":"53_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40478-021-01225-3","volume":"9","author":"LE Wisse","year":"2021","unstructured":"Wisse, L.E., et al.: Downstream effects of polypathology on neurodegeneration of medial temporal lobe subregions. Acta Neuropathol. Commun. 9(1), 1\u201311 (2021)","journal-title":"Acta Neuropathol. Commun."},{"key":"53_CR17","unstructured":"Yang, S., Matthias, K.G.: The optimal relaxation parameter for the SOR method applied to a classical model problem. Technical report, Technical Report TR2007-6, University of Maryland, Baltimore County (2007)"},{"key":"53_CR18","unstructured":"Zhou, H.Y., Guo, J., Zhang, Y., Yu, L., Wang, L., Yu, Y.: nnFormer: interleaved transformer for volumetric segmentation. arXiv preprint arXiv:2109.03201 (2021)"}],"container-title":["Lecture Notes in Computer Science","Information Processing in Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34048-2_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T12:09:50Z","timestamp":1686139790000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34048-2_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031340475","9783031340482"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34048-2_53","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"8 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IPMI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information Processing in Medical Imaging","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"San Carlos de Bariloche","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Argentina","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ipmi2023","order":10,"name":"conference_id","label":"Conference ID","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"169","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":"63","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":"37% - 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)"}}]}}