{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T05:51:09Z","timestamp":1772257869315,"version":"3.50.1"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030009335","type":"print"},{"value":"9783030009342","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\/978-3-030-00934-2_79","type":"book-chapter","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T23:24:33Z","timestamp":1536794673000},"page":"711-719","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images"],"prefix":"10.1007","author":[{"given":"Zhoubing","family":"Xu","sequence":"first","affiliation":[]},{"given":"Yuankai","family":"Huo","sequence":"additional","affiliation":[]},{"given":"JinHyeong","family":"Park","sequence":"additional","affiliation":[]},{"given":"Bennett","family":"Landman","sequence":"additional","affiliation":[]},{"given":"Andy","family":"Milkowski","sequence":"additional","affiliation":[]},{"given":"Sasa","family":"Grbic","sequence":"additional","affiliation":[]},{"given":"Shaohua","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,26]]},"reference":[{"issue":"5","key":"79_CR1","doi-asserted-by":"publisher","first-page":"1179","DOI":"10.1053\/j.gastro.2012.08.002","volume":"143","author":"AF Peery","year":"2012","unstructured":"Peery, A.F., et al.: Burden of gastrointestinal disease in the united states: 2012 update. Gastroenterology 143(5), 1179\u20131187 (2012)","journal-title":"Gastroenterology"},{"key":"79_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"79_CR3","doi-asserted-by":"crossref","unstructured":"Kokkinos, I.: Ubernet: training a universal convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory. In: CVPR, pp. 6129\u20136138 (2017)","DOI":"10.1109\/CVPR.2017.579"},{"key":"79_CR4","doi-asserted-by":"crossref","unstructured":"Ranjan, R., et al.: An all-in-one convolutional neural network for face analysis. In: 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), pp. 17\u201324. IEEE (2017)","DOI":"10.1109\/FG.2017.137"},{"key":"79_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1007\/978-3-319-66179-7_32","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2017","author":"W Xue","year":"2017","unstructured":"Xue, W., Lum, A., Mercado, A., Landis, M., Warrington, J., Li, S.: Full quantification of left ventricle via deep multitask learning network respecting intra- and inter-task relatedness. In: Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D.L., Duchesne, S. (eds.) MICCAI 2017. LNCS, vol. 10435, pp. 276\u2013284. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-66179-7_32"},{"key":"79_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1007\/978-3-319-46723-8_55","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016","author":"P Moeskops","year":"2016","unstructured":"Moeskops, P., et al.: Deep learning for multi-task medical image segmentation in multiple modalities. In: Ourselin, S., Joskowicz, L., Sabuncu, M.R., Unal, G., Wells, W. (eds.) MICCAI 2016. LNCS, vol. 9901, pp. 478\u2013486. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46723-8_55"},{"key":"79_CR7","doi-asserted-by":"crossref","unstructured":"He, K., et al.: Deep residual learning for image recognition. In: CPVR, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"79_CR8","doi-asserted-by":"crossref","unstructured":"Long, J., et al.: Fully convolutional networks for semantic segmentation. In: CVPR, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"79_CR9","doi-asserted-by":"crossref","unstructured":"Peng, C., et al.: Large kernel matters-improve semantic segmentation by global convolutional network. In: CVPR, pp. 4353\u20134361 (2017)","DOI":"10.1109\/CVPR.2017.189"},{"key":"79_CR10","doi-asserted-by":"crossref","unstructured":"Isola, P., et al.: Image-to-image translation with conditional adversarial networks. In: CVPR, pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"issue":"3","key":"79_CR11","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vis. 115(3), 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"79_CR12","doi-asserted-by":"crossref","unstructured":"Tu, Z.: Probabilistic boosting-tree: Learning discriminative models for classification, recognition, and clustering. In: ICCV, vol. 2, pp. 1589\u20131596. IEEE (2005)","DOI":"10.1109\/ICCV.2005.194"}],"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\/978-3-030-00934-2_79","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T04:22:06Z","timestamp":1751862126000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00934-2_79"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030009335","9783030009342"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00934-2_79","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":"26 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"}]}}