{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T08:00:31Z","timestamp":1726041631976},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030299293"},{"type":"electronic","value":"9783030299309"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-29930-9_5","type":"book-chapter","created":{"date-parts":[[2019,8,22]],"date-time":"2019-08-22T19:53:35Z","timestamp":1566503615000},"page":"45-55","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Classification of Autism Spectrum Disorder Through the Graph Fourier Transform of fMRI Temporal Signals Projected on Structural Connectome"],"prefix":"10.1007","author":[{"given":"Abdelbasset","family":"Brahim","sequence":"first","affiliation":[]},{"given":"Mehdi","family":"Hajjam El Hassani","sequence":"additional","affiliation":[]},{"given":"Nicolas","family":"Farrugia","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,23]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Menoret, M., Farrugia, N., Pasdeloup, B., Gripon, V.: Evaluating graph signal processing for neuroimaging through classification and dimensionality reduction. In: 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP) (2017)","DOI":"10.1109\/GlobalSIP.2017.8309033"},{"issue":"3","key":"5_CR2","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1038\/nn.4502","volume":"20","author":"DS Bassett","year":"2017","unstructured":"Bassett, D.S., Sporns, O.: Network neuroscience. Nat. Neurosci. 20(3), 353\u2013364 (2017)","journal-title":"Nat. Neurosci."},{"key":"5_CR3","doi-asserted-by":"publisher","first-page":"599","DOI":"10.3389\/fnhum.2013.00599","volume":"7","author":"JA Nielsen","year":"2013","unstructured":"Nielsen, J.A., et al.: Multisite functional connectivity MRI classification of autism: abide results. Front. Hum. Neurosci. 7, 599 (2013)","journal-title":"Front. Hum. Neurosci."},{"key":"5_CR4","doi-asserted-by":"publisher","first-page":"736","DOI":"10.1016\/j.neuroimage.2016.10.045","volume":"147","author":"A Abraham","year":"2017","unstructured":"Abraham, A., et al.: Deriving reproducible biomarkers from multi-site resting-state data: an autism-based example. NeuroImage 147, 736\u2013745 (2017)","journal-title":"NeuroImage"},{"issue":"3","key":"5_CR5","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1109\/MSP.2012.2235192","volume":"30","author":"DI Shuman","year":"2013","unstructured":"Shuman, D.I., Narang, S.K., Frossard, P., Ortega, A., Vandergheynst, P.: The emerging field of signal processing on graphs: extending high-dimensional data analysis to networks and other irregular domains. IEEE Signal Process. Mag. 30(3), 83\u201398 (2013)","journal-title":"IEEE Signal Process. Mag."},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Chung, F.R.: Spectral graph theory, vol. 92 (1997)","DOI":"10.1090\/cbms\/092"},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1016\/j.compbiomed.2017.10.011","volume":"91","author":"A Singh","year":"2017","unstructured":"Singh, A., Dutta, M.K., Jennane, R., Lespessailles, E.: Classification of the trabecular bone structure of osteoporotic patients using machine vision. Comput. Biol. Med. 91, 148\u2013158 (2017)","journal-title":"Comput. Biol. Med."},{"key":"5_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1007\/978-3-319-66182-7_54","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2017","author":"SI Ktena","year":"2017","unstructured":"Ktena, S.I., et al.: Distance metric learning using graph convolutional networks: application to functional brain networks. In: Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D.L., Duchesne, S. (eds.) MICCAI 2017. LNCS, vol. 10433, pp. 469\u2013477. Springer, Cham (2017). \n                    https:\/\/doi.org\/10.1007\/978-3-319-66182-7_54"},{"key":"5_CR9","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.nicl.2017.08.017","volume":"17","author":"AS Heinsfeld","year":"2018","unstructured":"Heinsfeld, A.S., Franco, A.R., Craddock, R.C., Buchweitz, A., Meneguzzi, F.: Identification of autism spectrum disorder using deep learning and the abide dataset. NeuroImage Clin. 17, 16\u201323 (2018)","journal-title":"NeuroImage Clin."},{"key":"5_CR10","doi-asserted-by":"publisher","first-page":"1018","DOI":"10.3389\/fnins.2018.01018","volume":"12","author":"A Kazeminejad","year":"2019","unstructured":"Kazeminejad, A., Sotero, R.C.: Topological properties of resting-state fmri functional networks improve machine learning-based autism classification. Front. Neurosci. 12, 1018 (2019)","journal-title":"Front. Neurosci."},{"key":"5_CR11","unstructured":"Craddock, C., et al.: Towards automated analysis of connectomes: the configurable pipeline for the analysis of connectomes (C-PAC). Front. Neuroinformatics 42 (2013)"},{"issue":"7615","key":"5_CR12","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1038\/nature18933","volume":"536","author":"MF Glasser","year":"2016","unstructured":"Glasser, M.F., et al.: A multi-modal parcellation of human cerebral cortex. Nature 536(7615), 171\u2013178 (2016)","journal-title":"Nature"},{"issue":"5","key":"5_CR13","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1109\/JPROC.2018.2798928","volume":"106","author":"W Huang","year":"2018","unstructured":"Huang, W., Bolton, T.A.W., Medaglia, J.D., Bassett, D.S., Ribeiro, A., Van De Ville, D.: A graph signal processing perspective on functional brain imaging. Proc. IEEE 106(5), 868\u2013885 (2018)","journal-title":"Proc. IEEE"},{"issue":"7","key":"5_CR14","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1109\/JSTSP.2016.2600859","volume":"10","author":"W Huang","year":"2016","unstructured":"Huang, W., Goldsberry, L., Wymbs, N.F., Grafton, S.T., Bassett, D.S., Ribeiro, A.: Graph frequency analysis of brain signals. IEEE J. Sel. Top. Signal Process. 10(7), 1189\u20131203 (2016)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"5_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1007\/978-3-642-15705-9_25","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2010","author":"G Varoquaux","year":"2010","unstructured":"Varoquaux, G., Baronnet, F., Kleinschmidt, A., Fillard, P., Thirion, B.: Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6361, pp. 200\u2013208. Springer, Heidelberg (2010). \n                    https:\/\/doi.org\/10.1007\/978-3-642-15705-9_25"},{"issue":"2","key":"5_CR16","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1109\/TCBB.2015.2476787","volume":"15","author":"Joao Ricardo Sato","year":"2018","unstructured":"Sato, J.R., Calebe Vidal, M., de Siqueira Santos, S., Brauer Massirer, K., Fujita, A.: Complex network measures in autism spectrum disorders. IEEE\/ACM Trans. Comput. Biol. Bioinform. 15(2), 581\u2013587 (2018)","journal-title":"IEEE\/ACM Transactions on Computational Biology and Bioinformatics"}],"container-title":["Communications in Computer and Information Science","Computer Analysis of Images and Patterns"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29930-9_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,22]],"date-time":"2019-08-22T19:54:36Z","timestamp":1566503676000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-29930-9_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030299293","9783030299309"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29930-9_5","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CAIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer Analysis of Images and Patterns","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Salerno","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"caip2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/caip2019.unisa.it\/","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":"176","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":"106","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":"60% - 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":"2.68","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":"3.40","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)"}}]}}