{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T09:23:50Z","timestamp":1743067430963,"version":"3.40.3"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319467221"},{"type":"electronic","value":"9783319467238"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-46723-8_29","type":"book-chapter","created":{"date-parts":[[2016,10,1]],"date-time":"2016-10-01T03:01:21Z","timestamp":1475290881000},"page":"247-255","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression"],"prefix":"10.1007","author":[{"given":"Dong","family":"Ni","sequence":"first","affiliation":[]},{"given":"Xing","family":"Ji","sequence":"additional","affiliation":[]},{"given":"Yaozong","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Jie-Zhi","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Huifang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jing","family":"Qin","sequence":"additional","affiliation":[]},{"given":"Baiying","family":"Lei","sequence":"additional","affiliation":[]},{"given":"Tianfu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Guorong","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Dinggang","family":"Shen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,10,2]]},"reference":[{"issue":"1","key":"29_CR1","first-page":"75","volume":"4","author":"C Persu","year":"2011","unstructured":"Persu, C., Chapple, C., Cauni, V., Gutue, S., Geavlete, P.: pelvic organ prolapse quantification system (POP-Q)-a new era in pelvic prolapse staging. J. Med. Life 4(1), 75 (2011)","journal-title":"J. Med. Life"},{"issue":"1","key":"29_CR2","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1007\/s11934-010-0160-2","volume":"12","author":"U Lee","year":"2011","unstructured":"Lee, U., Raz, S.: Emerging concepts for pelvic organ prolapse surgery: what is cure? Cur. Urol. Rep. 12(1), 62\u201367 (2011)","journal-title":"Cur. Urol. Rep."},{"issue":"4","key":"29_CR3","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1002\/uog.8816","volume":"37","author":"G Santoro","year":"2011","unstructured":"Santoro, G., Wieczorek, A., Dietz, H., Mellgren, A., Sultan, A., Shobeiri, S., Stankiewicz, A., Bartram, C.: State of the art: an integrated approach to pelvic floor ultrasonography. Ultrasound Obstet. Gynecol. 37(4), 381\u2013396 (2011)","journal-title":"Ultrasound Obstet. Gynecol."},{"key":"29_CR4","doi-asserted-by":"crossref","unstructured":"Chan, L., Tse, V., Stewart, P.: Pelvic floor ultrasound (2015)","DOI":"10.1007\/978-3-319-04310-4"},{"issue":"2","key":"29_CR5","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1002\/uog.5219","volume":"31","author":"I Thyer","year":"2008","unstructured":"Thyer, I., Shek, C., Dietz, H.: New imaging method for assessing pelvic floor biomechanics. Ultrasound Obstet. Gynecol. 31(2), 201\u2013205 (2008)","journal-title":"Ultrasound Obstet. Gynecol."},{"issue":"1","key":"29_CR6","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"issue":"2","key":"29_CR7","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.patcog.2010.08.011","volume":"44","author":"A Verikas","year":"2011","unstructured":"Verikas, A., Gelzinis, A., Bacauskiene, M.: Mining data with random forests: a survey and results of new tests. Pattern Recogn. 44(2), 330\u2013349 (2011)","journal-title":"Pattern Recogn."},{"key":"29_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/978-3-319-10581-9_21","volume-title":"Machine Learning in Medical Imaging","author":"Y Gao","year":"2014","unstructured":"Gao, Y., Shen, D.: Context-aware anatomical landmark detection: application to deformable model initialization in prostate CT images. In: Wu, G., Zhang, D., Zhou, L. (eds.) MLMI 2014. LNCS, vol. 8679, pp. 165\u2013173. Springer, Heidelberg (2014). doi:10.1007\/978-3-319-10581-9_21"},{"key":"29_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1007\/978-3-319-24553-9_80","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"D Richmond","year":"2015","unstructured":"Richmond, D., Kainmueller, D., Glocker, B., Rother, C., Myers, G.: Uncertainty-driven forest predictors for vertebra localization and segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9349, pp. 653\u2013660. Springer, Heidelberg (2015). doi:10.1007\/978-3-319-24553-9_80"},{"key":"29_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1007\/978-3-540-73273-0_2","volume-title":"Information Processing in Medical Imaging","author":"SK Zhou","year":"2007","unstructured":"Zhou, S.K., Comaniciu, D.: Shape regression machine. In: Karssemeijer, N., Lelieveldt, B. (eds.) IPMI 2007. LNCS, vol. 4584, pp. 13\u201325. Springer, Heidelberg (2007). doi:10.1007\/978-3-540-73273-0_2"},{"issue":"1","key":"29_CR11","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/j.media.2015.06.007","volume":"26","author":"Y Shao","year":"2015","unstructured":"Shao, Y., Gao, Y., Wang, Q., Yang, X., Shen, D.: Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images. Med. Image Anal. 26(1), 345\u2013356 (2015)","journal-title":"Med. Image Anal."},{"issue":"10","key":"29_CR12","doi-asserted-by":"publisher","first-page":"1744","DOI":"10.1109\/TPAMI.2009.186","volume":"32","author":"Z Tu","year":"2010","unstructured":"Tu, Z., Bai, X.: Auto-context and its application to high-level vision tasks and 3D brain image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 32(10), 1744\u20131757 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"29_CR13","first-page":"684","volume":"22","author":"H Wang","year":"2013","unstructured":"Wang, H., Chen, H., Zhe, R., Xu, F., Chen, Q., Liu, Y., Guo, J., Shiya, W.: Correlation between anterior compartment prolapse assessments by transperineal ultrasonography and pelvic organ prolapse quantification. Chin. J. Ultrason. 22(8), 684\u2013687 (2013)","journal-title":"Chin. J. Ultrason."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46723-8_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,4]],"date-time":"2021-10-04T21:20:08Z","timestamp":1633382408000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-46723-8_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319467221","9783319467238"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46723-8_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"2 October 2016","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":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}