{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,18]],"date-time":"2025-05-18T22:40:07Z","timestamp":1747608007119,"version":"3.40.5"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030466398"},{"type":"electronic","value":"9783030466404"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-46640-4_4","type":"book-chapter","created":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T23:24:36Z","timestamp":1589844276000},"page":"32-43","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Predicting Clinical Outcome of Stroke Patients with Tractographic Feature"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9439-8819","authenticated-orcid":false,"given":"Po-Yu","family":"Kao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeffereson W.","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B. S.","family":"Manjunath","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,5,19]]},"reference":[{"issue":"3","key":"4_CR1","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1080\/02687030701294491","volume":"22","author":"SM Antonucci","year":"2008","unstructured":"Antonucci, S.M., et al.: Lexical retrieval and semantic knowledge in patients with left inferior temporal lobe lesions. Aphasiology 22(3), 281\u2013304 (2008)","journal-title":"Aphasiology"},{"issue":"3","key":"4_CR2","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1161\/01.STR.0000258355.23810.c6","volume":"38","author":"JL Banks","year":"2007","unstructured":"Banks, J.L., Marotta, C.A.: Outcomes validity and reliability of the modified Rankin scale: implications for stroke clinical trials: a literature review and synthesis. Stroke 38(3), 1091\u20131096 (2007)","journal-title":"Stroke"},{"key":"4_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/978-3-319-55524-9_22","volume-title":"Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries","author":"Y Choi","year":"2016","unstructured":"Choi, Y., Kwon, Y., Lee, H., Kim, B.J., Paik, M.C., Won, J.H.: Ensemble of deep convolutional neural networks for prognosis of ischemic stroke. In: Crimi, A., Menze, B., Maier, O., Reyes, M., Winzeck, S., Handels, H. (eds.) BrainLes 2016. LNCS, vol. 10154, pp. 231\u2013243. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-55524-9_22"},{"issue":"6","key":"4_CR4","doi-asserted-by":"publisher","first-page":"e0129569","DOI":"10.1371\/journal.pone.0129569","volume":"10","author":"ND Forkert","year":"2015","unstructured":"Forkert, N.D., et al.: Multiclass support vector machine-based lesion mapping predicts functional outcome in ischemic stroke patients. PLoS One 10(6), e0129569 (2015)","journal-title":"PLoS One"},{"issue":"10029","key":"4_CR5","doi-asserted-by":"publisher","first-page":"1723","DOI":"10.1016\/S0140-6736(16)00163-X","volume":"387","author":"M Goyal","year":"2016","unstructured":"Goyal, M., et al.: Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials. Lancet 387(10029), 1723\u20131731 (2016)","journal-title":"Lancet"},{"key":"4_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1007\/11866763_8","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2006","author":"G Grabner","year":"2006","unstructured":"Grabner, G., Janke, A.L., Budge, M.M., Smith, D., Pruessner, J., Collins, D.L.: Symmetric atlasing and model based segmentation: an application to the hippocampus in older adults. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4191, pp. 58\u201366. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11866763_8"},{"issue":"3","key":"4_CR7","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1016\/j.neuroimage.2006.05.044","volume":"32","author":"S Hofer","year":"2006","unstructured":"Hofer, S., Frahm, J.: Topography of the human corpus callosum revisited\u2014comprehensive fiber tractography using diffusion tensor magnetic resonance imaging. Neuroimage 32(3), 989\u2013994 (2006)","journal-title":"Neuroimage"},{"issue":"9","key":"4_CR8","doi-asserted-by":"publisher","first-page":"634","DOI":"10.2471\/BLT.16.181636","volume":"94","author":"W Johnson","year":"2016","unstructured":"Johnson, W., et al.: Stroke: a global response is needed. Bull. World Health Organ. 94(9), 634 (2016)","journal-title":"Bull. World Health Organ."},{"key":"4_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1007\/978-3-030-11726-9_12","volume-title":"Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries","author":"P-Y Kao","year":"2019","unstructured":"Kao, P.-Y., Ngo, T., Zhang, A., Chen, J.W., Manjunath, B.S.: Brain tumor segmentation and tractographic feature extraction from structural MR images for overall survival prediction. In: Crimi, A., Bakas, S., Kuijf, H., Keyvan, F., Reyes, M., van Walsum, T. (eds.) BrainLes 2018. LNCS, vol. 11384, pp. 128\u2013141. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-11726-9_12"},{"issue":"11","key":"4_CR10","doi-asserted-by":"publisher","first-page":"e245","DOI":"10.2196\/jmir.2930","volume":"15","author":"M Kistler","year":"2013","unstructured":"Kistler, M., et al.: The virtual skeleton database: an open access repository for biomedical research and collaboration. J. Med. Internet Res. 15(11), e245 (2013)","journal-title":"J. Med. Internet Res."},{"key":"4_CR11","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1155\/2013\/639430","volume":"2013","author":"MG Knyazeva","year":"2013","unstructured":"Knyazeva, M.G.: Splenium of corpus callosum: patterns of interhemispheric interaction in children and adults. Neural Plast. 2013, 12 (2013)","journal-title":"Neural Plast."},{"issue":"9","key":"4_CR12","doi-asserted-by":"publisher","first-page":"2021","DOI":"10.1161\/hs0901.095680","volume":"32","author":"MH Lev","year":"2001","unstructured":"Lev, M.H., et al.: Utility of perfusion-weighted CT imaging in acute middle cerebral artery stroke treated with intra-arterial thrombolysis: prediction of final infarct volume and clinical outcome. Stroke 32(9), 2021\u20132028 (2001)","journal-title":"Stroke"},{"key":"4_CR13","volume-title":"Stroke","author":"RI Lindley","year":"2017","unstructured":"Lindley, R.I.: Stroke, 2nd edn. Oxford University Press, Oxford (2017)","edition":"2"},{"issue":"2","key":"4_CR14","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1002\/ana.410420206","volume":"42","author":"KO L\u00f6uvbld","year":"1997","unstructured":"L\u00f6uvbld, K.O., et al.: Ischemic lesion volumes in acute stroke by diffusion-weighted magnetic resonance imaging correlate with clinical outcome. Ann. Neurol.: Off. J. Am. Neurol. Assoc. Child Neurol. Soc. 42(2), 164\u2013170 (1997)","journal-title":"Ann. Neurol.: Off. J. Am. Neurol. Assoc. Child Neurol. Soc."},{"key":"4_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1007\/978-3-319-55524-9_21","volume-title":"Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries","author":"O Maier","year":"2016","unstructured":"Maier, O., Handels, H.: Predicting stroke lesion and clinical outcome with random forests. In: Crimi, A., Menze, B., Maier, O., Reyes, M., Winzeck, S., Handels, H. (eds.) BrainLes 2016. LNCS, vol. 10154, pp. 219\u2013230. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-55524-9_21"},{"key":"4_CR16","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1016\/j.media.2016.07.009","volume":"35","author":"O Maier","year":"2017","unstructured":"Maier, O., et al.: ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Med. Image Anal. 35, 250\u2013269 (2017)","journal-title":"Med. Image Anal."},{"issue":"4","key":"4_CR17","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1212\/WNL.55.4.498","volume":"55","author":"M Parsons","year":"2000","unstructured":"Parsons, M., et al.: Combined 1H MR spectroscopy and diffusion-weighted MRI improves the prediction of stroke outcome. Neurology 55(4), 498\u2013506 (2000)","journal-title":"Neurology"},{"issue":"8","key":"4_CR18","doi-asserted-by":"publisher","first-page":"2911","DOI":"10.1161\/STROKEAHA.109.192362","volume":"40","author":"D Summers","year":"2009","unstructured":"Summers, D., et al.: Comprehensive overview of nursing and interdisciplinary care of the acute ischemic stroke patient: a scientific statement from the American Heart Association. Stroke 40(8), 2911\u20132944 (2009)","journal-title":"Stroke"},{"issue":"1","key":"4_CR19","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1006\/nimg.2001.0978","volume":"15","author":"N Tzourio-Mazoyer","year":"2002","unstructured":"Tzourio-Mazoyer, N., et al.: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 15(1), 273\u2013289 (2002)","journal-title":"Neuroimage"},{"key":"4_CR20","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., et al.: The WU-Minn human connectome project: an overview. Neuroimage 80, 62\u201379 (2013)","journal-title":"Neuroimage"},{"issue":"9","key":"4_CR21","doi-asserted-by":"publisher","first-page":"1783","DOI":"10.1161\/01.STR.29.9.1783","volume":"29","author":"K Van Everdingen","year":"1998","unstructured":"Van Everdingen, K., et al.: Diffusion-weighted magnetic resonance imaging in acute stroke. Stroke 29(9), 1783\u20131790 (1998)","journal-title":"Stroke"},{"issue":"5","key":"4_CR22","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1161\/01.STR.19.5.604","volume":"19","author":"J Van Swieten","year":"1988","unstructured":"Van Swieten, J., et al.: Interobserver agreement for the assessment of handicap in stroke patients. Stroke 19(5), 604\u2013607 (1988)","journal-title":"Stroke"},{"issue":"5","key":"4_CR23","doi-asserted-by":"publisher","first-page":"1266","DOI":"10.1161\/STROKEAHA.111.646570","volume":"43","author":"G Vogt","year":"2012","unstructured":"Vogt, G., et al.: Initial lesion volume is an independent predictor of clinical stroke outcome at day 90: an analysis of the virtual international stroke trials archive (VISTA) database. Stroke 43(5), 1266\u20131272 (2012)","journal-title":"Stroke"},{"issue":"1","key":"4_CR24","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.neuroimage.2011.06.021","volume":"58","author":"FC Yeh","year":"2011","unstructured":"Yeh, F.C., Tseng, W.Y.I.: NTU-90: a high angular resolution brain atlas constructed by q-space diffeomorphic reconstruction. Neuroimage 58(1), 91\u201399 (2011)","journal-title":"Neuroimage"},{"issue":"11","key":"4_CR25","doi-asserted-by":"publisher","first-page":"e80713","DOI":"10.1371\/journal.pone.0080713","volume":"8","author":"FC Yeh","year":"2013","unstructured":"Yeh, F.C., et al.: Deterministic diffusion fiber tracking improved by quantitative anisotropy. PLoS One 8(11), e80713 (2013)","journal-title":"PLoS One"},{"issue":"1","key":"4_CR26","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1007\/s13311-018-0663-y","volume":"16","author":"F-C Yeh","year":"2018","unstructured":"Yeh, F.-C., et al.: Automatic removal of false connections in diffusion MRI tractography using topology-informed pruning (TIP). Neurotherapeutics 16(1), 52\u201358 (2018). https:\/\/doi.org\/10.1007\/s13311-018-0663-y","journal-title":"Neurotherapeutics"}],"container-title":["Lecture Notes in Computer Science","Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-46640-4_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,18]],"date-time":"2025-05-18T22:03:29Z","timestamp":1747605809000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-46640-4_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030466398","9783030466404"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-46640-4_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"19 May 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BrainLes","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International MICCAI Brainlesion Workshop","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":"17 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":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwb2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.brainlesion-workshop.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}