{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T07:27:20Z","timestamp":1743146840123,"version":"3.40.3"},"publisher-location":"Cham","reference-count":8,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030923099"},{"type":"electronic","value":"9783030923105"}],"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\/978-3-030-92310-5_11","type":"book-chapter","created":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T14:04:20Z","timestamp":1638799460000},"page":"90-97","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of Topological Variability in Mouse Neuronal Populations Based on Fluorescence Microscopy Images"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5273-6579","authenticated-orcid":false,"given":"Margarita","family":"Zaleshina","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9356-9615","authenticated-orcid":false,"given":"Alexander","family":"Zaleshin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,12,2]]},"reference":[{"key":"11_CR1","doi-asserted-by":"crossref","unstructured":"Townsend, D., Cheng, Z., Georg, D., Drexler, W., Moser, E.: Grand challenges in biomedical physics. Front. Phys. 1 (2013)","DOI":"10.3389\/fphy.2013.00001"},{"key":"11_CR2","series-title":"Lecture Notes in Computational Vision and Biomechanics","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/978-3-319-15799-3_14","volume-title":"Computational and Experimental Biomedical Sciences: Methods and Applications","author":"L Azevedo","year":"2015","unstructured":"Azevedo, L., Faustino, A.M.R., Tavares, J.M.R.S.: Segmentation and 3D reconstruction of animal tissues in histological images. In: Tavares, J.M.R.S., Natal Jorge, R.M. (eds.) Computational and Experimental Biomedical Sciences: Methods and Applications. LNCVB, vol. 21, pp. 193\u2013207. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-15799-3_14"},{"key":"11_CR3","doi-asserted-by":"publisher","first-page":"3437","DOI":"10.1021\/acschemneuro.9b00061","volume":"10","author":"RM Falcucci","year":"2019","unstructured":"Falcucci, R.M., Wertz, R., Green, J.L., Meucci, O., Salvino, J., Fontana, A.: Novel positive allosteric modulators of glutamate transport have neuroprotective properties in an in vitro excitotoxic model. ACS Chem. Neurosci. 10, 3437\u20133453 (2019)","journal-title":"ACS Chem. Neurosci."},{"key":"11_CR4","doi-asserted-by":"publisher","first-page":"9808","DOI":"10.1038\/srep09808","volume":"5","author":"I Costantini","year":"2015","unstructured":"Costantini, I., Ghobril, J.-P., Di Giovanna, A.P., Mascaro, A., Silvestri, L., M\u00fcllenbroich, M.C., et al.: A versatile clearing agent for multi-modal brain imaging. Sci. Rep. 5, 9808 (2015)","journal-title":"Sci. Rep."},{"key":"11_CR5","doi-asserted-by":"publisher","first-page":"936","DOI":"10.1016\/j.cell.2020.04.007","volume":"181","author":"Q Wang","year":"2020","unstructured":"Wang, Q., Ding, S.-L., Li, Y., Royall, J., Feng, D., Lesnar, P., et al.: The Allen mouse brain common coordinate framework: a 3D reference atlas. Cell 181, 936\u2013953 (2020)","journal-title":"Cell"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Bonsi, P., et al.: RGS9-2 rescues dopamine D2 receptor levels and signaling in DYT1 dystonia mouse models. EMBO Mol. Med. 11 (2019)","DOI":"10.15252\/emmm.201809283"},{"key":"11_CR7","doi-asserted-by":"publisher","unstructured":"Silvestri, L., et al.: Whole brain images of selected neuronal types. Human Brain Project Neuroinform. Platform (2019). https:\/\/doi.org\/10.25493\/68S1-9R1","DOI":"10.25493\/68S1-9R1"},{"key":"11_CR8","doi-asserted-by":"publisher","unstructured":"Silvestri, L., Di Giovanna, A.P., Mazzamuto, G.: Whole-brain images of different neuronal markers. Human Brain Project Neuroinform. Platform (2020). https:\/\/doi.org\/10.25493\/A0XN-XC1","DOI":"10.25493\/A0XN-XC1"}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-92310-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T08:07:38Z","timestamp":1655798858000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-92310-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030923099","9783030923105"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-92310-5_11","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"2 December 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sanur, Bali","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","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":"8 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2021","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":"iconip2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iconip2021.apnns.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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1093","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":"226","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":"177","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":"21% - 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":"2.57","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":"6","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":"Due to the COVID-19 pandemic the conference was held online.","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)"}}]}}