{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T02:44:41Z","timestamp":1743043481894,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030322472"},{"type":"electronic","value":"9783030322489"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-32248-9_61","type":"book-chapter","created":{"date-parts":[[2019,10,9]],"date-time":"2019-10-09T23:08:49Z","timestamp":1570662529000},"page":"547-555","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments"],"prefix":"10.1007","author":[{"given":"Khoi Minh","family":"Huynh","sequence":"first","affiliation":[]},{"given":"Tiantian","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Ye","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Geng","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Kim-Han","family":"Thung","sequence":"additional","affiliation":[]},{"given":"Haiyong","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Weili","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Dinggang","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Pew-Thian","family":"Yap","sequence":"additional","affiliation":[]},{"name":"the UNC\/UMN Baby Connectome Project Consortium","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,10]]},"reference":[{"issue":"5","key":"61_CR1","doi-asserted-by":"publisher","first-page":"770","DOI":"10.1002\/mrm.1105","volume":"45","author":"AL Alexander","year":"2001","unstructured":"Alexander, A.L., Hasan, K.M., Lazar, M., Tsuruda, J.S., Parker, D.L.: Analysis of partial volume effects in diffusion-tensor MRI. Magn. Reson. Med. 45(5), 770\u2013780 (2001)","journal-title":"Magn. Reson. Med."},{"issue":"1","key":"61_CR2","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.neuroimage.2005.03.042","volume":"27","author":"Y Assaf","year":"2005","unstructured":"Assaf, Y., Basser, P.J.: Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain. NeuroImage 27(1), 48\u201358 (2005)","journal-title":"NeuroImage"},{"issue":"4","key":"61_CR3","doi-asserted-by":"publisher","first-page":"1000","DOI":"10.1016\/j.neuroimage.2012.03.072","volume":"61","author":"H Zhang","year":"2012","unstructured":"Zhang, H., Schneider, T., Wheeler-Kingshott, C.A., Alexander, D.C.: NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage 61(4), 1000\u20131016 (2012)","journal-title":"NeuroImage"},{"issue":"2","key":"61_CR4","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1002\/hbm.21454","volume":"34","author":"NS White","year":"2012","unstructured":"White, N.S., Leergaard, T.B., D\u2019arceuil, H., Bjaalie, J.G., Dale, A.M.: Probing tissue microstructure with restriction spectrum imaging: histological and theoretical validation. Hum. Brain Mapp. 34(2), 327\u2013346 (2012)","journal-title":"Hum. Brain Mapp."},{"key":"61_CR5","doi-asserted-by":"publisher","first-page":"3590","DOI":"10.1093\/brain\/awr307","volume":"134","author":"Y Wang","year":"2011","unstructured":"Wang, Y., et al.: Quantification of increased cellularity during inflammatory demyelination. Brain 134, 3590\u20133601 (2011)","journal-title":"Brain"},{"issue":"4","key":"61_CR6","doi-asserted-by":"publisher","first-page":"1752","DOI":"10.1002\/mrm.25734","volume":"75","author":"E Kaden","year":"2016","unstructured":"Kaden, E., Kruggel, F., Alexander, D.C.: Quantitative mapping of the per-axon diffusion coefficients in brain white matter. Magn. Reson. Med. 75(4), 1752\u20131763 (2016)","journal-title":"Magn. Reson. Med."},{"key":"61_CR7","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1016\/j.neuroimage.2016.06.002","volume":"139","author":"E Kaden","year":"2016","unstructured":"Kaden, E., Kelm, N.D., Carson, R.P., Does, M.D., Alexander, D.C.: Multi-compartment microscopic diffusion imaging. NeuroImage 139, 346\u2013359 (2016)","journal-title":"NeuroImage"},{"issue":"2","key":"61_CR8","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1111\/j.1467-9868.2005.00503.x","volume":"67","author":"H Zou","year":"2005","unstructured":"Zou, H., Hastie, T.: Regularization and variable selection via the elastic net. J. R. Stat. Soc. Ser. B (Stat. Methodol.) 67(2), 301\u2013320 (2005)","journal-title":"J. R. Stat. Soc. Ser. B (Stat. Methodol.)"},{"key":"61_CR9","doi-asserted-by":"publisher","first-page":"28","DOI":"10.3389\/fninf.2014.00028","volume":"8","author":"T Roine","year":"2014","unstructured":"Roine, T., et al.: Isotropic non-white matter partial volume effects in constrained spherical deconvolution. Front. Neuroinformatics 8, 28 (2014). https:\/\/doi.org\/10.3389\/fninf.2014.00028","journal-title":"Front. Neuroinformatics"},{"key":"61_CR10","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.neuroimage.2013.05.041","volume":"80","author":"DC Van Essen","year":"2013","unstructured":"Van Essen, D.C., Smith, S.M., Barch, D.M., Behrens, T.E., Yacoub, E., Ugurbil, K.: The WU-Minn human connectome project: an overview. NeuroImage 80, 62\u201379 (2013)","journal-title":"NeuroImage"},{"key":"61_CR11","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.neuroimage.2014.10.026","volume":"105","author":"A Daducci","year":"2015","unstructured":"Daducci, A., Canales-Rodr\u00edguez, E.J., Zhang, H., Dyrby, T.B., Alexander, D.C., Thiran, J.P.: Accelerated microstructure imaging via convex optimization (AMICO) from diffusion MRI data. NeuroImage 105, 32\u201344 (2015)","journal-title":"NeuroImage"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32248-9_61","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T00:24:57Z","timestamp":1728519897000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-32248-9_61"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030322472","9783030322489"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32248-9_61","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"10 October 2019","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":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"13 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2019.org\/","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1730","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":"539","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":"31% - 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":"3.07","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":"6.31","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 content has been made available to all.","name":"free","label":"Free to read"}]}}