{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T18:43:46Z","timestamp":1761677026161,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030926519"},{"type":"electronic","value":"9783030926526"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-92652-6_8","type":"book-chapter","created":{"date-parts":[[2021,12,2]],"date-time":"2021-12-02T22:02:41Z","timestamp":1638482561000},"page":"95-104","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Cranial Implant Prediction by\u00a0Learning an\u00a0Ensemble of\u00a0Slice-Based Skull Completion Networks"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1281-4223","authenticated-orcid":false,"given":"Bokai","family":"Yang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2162-570X","authenticated-orcid":false,"given":"Ke","family":"Fang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3494-2552","authenticated-orcid":false,"given":"Xingyu","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,12,3]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"4199","DOI":"10.1038\/s41598-017-04454-6","volume":"7","author":"X Chen","year":"2017","unstructured":"Chen, X., Xu, L., Li, X., Egger, J.: Computer-aided implant design for the restoration of cranial defects. Sci. Rep. 7, 4199 (2017)","journal-title":"Sci. Rep."},{"key":"8_CR2","unstructured":"Dean, D., Min, K.-J.: Computer aided design of cranial implants using deformable templates (2003)"},{"key":"8_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/978-3-030-64327-0_6","volume-title":"Towards the Automatization of Cranial Implant Design in Cranioplasty","author":"DG Ellis","year":"2020","unstructured":"Ellis, D.G., Aizenberg, M.R.: Deep learning using augmentation via registration: 1st place solution to the AutoImplant 2020 challenge. In: Li, J., Egger, J. (eds.) AutoImplant 2020. LNCS, vol. 12439, pp. 47\u201355. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-64327-0_6"},{"key":"8_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/978-3-030-64327-0_6","volume-title":"Towards the Automatization of Cranial Implant Design in Cranioplasty","author":"DG Ellis","year":"2020","unstructured":"Ellis, D.G., Aizenberg, M.R.: Deep learning using augmentation via registration: 1st place solution to the AutoImplant 2020 challenge. In: Li, J., Egger, J. (eds.) AutoImplant 2020. LNCS, vol. 12439, pp. 47\u201355. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-64327-0_6"},{"key":"8_CR5","doi-asserted-by":"publisher","unstructured":"Li, J., et al.: Towards the automatization of cranial implant design in cranioplasty: 2nd MICCAI Challenge on Automatic Cranial Implant Design, March 2021. https:\/\/doi.org\/10.1007\/978-3-030-64327-0","DOI":"10.1007\/978-3-030-64327-0"},{"key":"8_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/978-3-030-64327-0_8","volume-title":"Towards the Automatization of Cranial Implant Design in Cranioplasty","author":"JG Mainprize","year":"2020","unstructured":"Mainprize, J.G., Fishman, Z., Hardisty, M.R.: Shape completion by U-Net: an approach to the AutoImplant MICCAI cranial implant design challenge. In: Li, J., Egger, J. (eds.) AutoImplant 2020. LNCS, vol. 12439, pp. 65\u201376. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-64327-0_8"},{"key":"8_CR7","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1109\/MEMB.2002.1000184","volume":"21","author":"L Ming-Yih","year":"2002","unstructured":"Ming-Yih, L., Chong-Ching, C., Chao-Chun, L., Lun-Jou, L., Yu-Ray, C.: Custom implant design for patients with cranial defects. IEEE Eng. Med. Biol. Mag. 21, 38\u201344 (2002)","journal-title":"IEEE Eng. Med. Biol. Mag."},{"key":"8_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1007\/978-3-030-64327-0_3","volume-title":"Towards the Automatization of Cranial Implant Design in Cranioplasty","author":"P Pimentel","year":"2020","unstructured":"Pimentel, P., et al.: Automated virtual reconstruction of large skull defects using statistical shape models and generative adversarial networks. In: Li, J., Egger, J. (eds.) AutoImplant 2020. LNCS, vol. 12439, pp. 16\u201327. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-64327-0_3"},{"key":"8_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1007\/978-3-030-64327-0_12","volume-title":"Towards the Automatization of Cranial Implant Design in Cranioplasty","author":"M Eder","year":"2020","unstructured":"Eder, M., Li, J., Egger, J.: Learning volumetric shape super-resolution for cranial implant design. In: Li, J., Egger, J. (eds.) AutoImplant 2020. LNCS, vol. 12439, pp. 104\u2013113. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-64327-0_12"},{"key":"8_CR10","first-page":"199","volume":"2004","author":"C Scharver","year":"2004","unstructured":"Scharver, C., Evenhouse, R., Johnson, A., Leigh, J.: Pre-surgical cranial implant design using the Paris\/SPL trade\/prototype. IEEE Virtual Real. 2004, 199\u2013291 (2004)","journal-title":"IEEE Virtual Real."},{"key":"8_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1007\/978-3-030-64327-0_4","volume-title":"Towards the Automatization of Cranial Implant Design in Cranioplasty","author":"H Shi","year":"2020","unstructured":"Shi, H., Chen, X.: Cranial implant design through multiaxial slice inpainting using deep learning. In: Li, J., Egger, J. (eds.) AutoImplant 2020. LNCS, vol. 12439, pp. 28\u201336. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-64327-0_4"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Gord von Campe and Karin Pistracher. Patient specific implants (PSI) cranioplasty in the neurosurgical clinical routine. In: AutoImplant 2020, LNCS 12439, pp. 1\u20139, 2020 (2020)","DOI":"10.1007\/978-3-030-64327-0_1"},{"key":"8_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/978-3-030-64327-0_10","volume-title":"Towards the Automatization of Cranial Implant Design in Cranioplasty","author":"B Wang","year":"2020","unstructured":"Wang, B., et al.: Cranial implant design using a deep learning method with anatomical regularization. In: Li, J., Egger, J. (eds.) AutoImplant 2020. LNCS, vol. 12439, pp. 85\u201393. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-64327-0_10"}],"container-title":["Lecture Notes in Computer Science","Towards the Automatization of Cranial Implant Design in Cranioplasty II"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-92652-6_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,2]],"date-time":"2021-12-02T22:03:26Z","timestamp":1638482606000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-92652-6_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030926519","9783030926526"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-92652-6_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"3 December 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AutoImplant","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cranial Implant Design Challenge","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"autoimplant2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/autoimplant2021.grand-challenge.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT3","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","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":"10","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":"143% - 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":"3.1","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":"3.1","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":"This includes 1 invited paper, 1 data description and 1 qualitative evaluation criteria.","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)"}}]}}