{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T00:02:17Z","timestamp":1769040137761,"version":"3.49.0"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030009304","type":"print"},{"value":"9783030009311","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-00931-1_29","type":"book-chapter","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T23:26:09Z","timestamp":1536794769000},"page":"249-257","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis"],"prefix":"10.1007","author":[{"given":"Weizheng","family":"Yan","sequence":"first","affiliation":[]},{"given":"Han","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jing","family":"Sui","sequence":"additional","affiliation":[]},{"given":"Dinggang","family":"Shen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,13]]},"reference":[{"issue":"10","key":"29_CR1","doi-asserted-by":"publisher","first-page":"5019","DOI":"10.1002\/hbm.23711","volume":"38","author":"X Chen","year":"2017","unstructured":"Chen, X., Zhang, H., Zhang, L., Shen, C., Lee, S., Shen, D.: Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification. Hum. Brain Mapp. 38(10), 5019\u20135034 (2017)","journal-title":"Hum. Brain Mapp."},{"issue":"2","key":"29_CR2","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.neuron.2014.10.015","volume":"84","author":"VD Calhoun","year":"2014","unstructured":"Calhoun, V.D., Miller, R., Pearlson, G., Adali, T.: The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron 84(2), 262\u2013274 (2014)","journal-title":"Neuron"},{"key":"29_CR3","doi-asserted-by":"publisher","first-page":"897","DOI":"10.3389\/fnhum.2014.00897","volume":"8","author":"B Rashid","year":"2014","unstructured":"Rashid, B., Damaraju, E., Pearlson, G.D., Calhoun, V.D.: Dynamic connectivity states estimated from resting fMRI identify differences among Schizophrenia, bipolar disorder, and healthy control subjects. Front. Hum. Neurosci. 8, 897 (2014)","journal-title":"Front. Hum. Neurosci."},{"issue":"3","key":"29_CR4","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1093\/cercor\/bhs352","volume":"24","author":"EA Allen","year":"2014","unstructured":"Allen, E.A., Damaraju, E., Plis, S.M., Erhardt, E.B., Eichele, T., Calhoun, V.D.: Tracking whole-brain connectivity dynamics in the resting state. Cereb. Cortex 24(3), 663\u2013676 (2014)","journal-title":"Cereb. Cortex"},{"issue":"48","key":"29_CR5","doi-asserted-by":"publisher","first-page":"12827","DOI":"10.1073\/pnas.1705120114","volume":"114","author":"D Vidaurre","year":"2017","unstructured":"Vidaurre, D., Smith, S.M., Woolrich, M.W.: Brain network dynamics are hierarchically organized in time. Proc. Natl. Acad. Sci. 114(48), 12827\u201312832 (2017)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"8","key":"29_CR6","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Sak, H., Senior, A., Beaufays, F.: Long short-term memory recurrent neural network architectures for large scale acoustic modeling. In: INTERSPEECH 2014, pp. 338\u2013342 (2014)","DOI":"10.21437\/Interspeech.2014-80"},{"issue":"9","key":"29_CR8","doi-asserted-by":"publisher","first-page":"5287","DOI":"10.1007\/s11042-015-2944-3","volume":"75","author":"B Fan","year":"2016","unstructured":"Fan, B., Xie, L., Yang, S., Wang, L., Soong, F.A.: A deep bidirectional LSTM approach for video-realistic talking head. Multimed. Tools Appl. 75(9), 5287\u20135309 (2016)","journal-title":"Multimed. Tools Appl."},{"key":"29_CR9","doi-asserted-by":"publisher","first-page":"2047","DOI":"10.1109\/IJCNN.2005.1556215","volume":"4","author":"A Graves","year":"2005","unstructured":"Graves, A., Schmidhuber, J.: Framewise phoneme classification with bidirectional LSTM networks. IEEE Int. Joint Conf. Neural Netw. 4, 2047\u20132052 (2005). https:\/\/doi.org\/10.1109\/IJCNN.2005.1556215","journal-title":"IEEE Int. Joint Conf. Neural Netw."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00931-1_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T20:05:15Z","timestamp":1710360315000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00931-1_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030009304","9783030009311"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00931-1_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"13 September 2018","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":"Granada","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2018.org\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}