{"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":1747608007588,"version":"3.40.5"},"publisher-location":"Cham","reference-count":13,"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_12","type":"book-chapter","created":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T23:24:36Z","timestamp":1589844276000},"page":"119-128","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation"],"prefix":"10.1007","author":[{"given":"Boris","family":"Shirokikh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexandra","family":"Dalechina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexey","family":"Shevtsov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Egor","family":"Krivov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valery","family":"Kostjuchenko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amayak","family":"Durgaryan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikhail","family":"Galkin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivan","family":"Osinov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrey","family":"Golanov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikhail","family":"Belyaev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,5,19]]},"reference":[{"key":"12_CR1","unstructured":"Bakas, S., et al.: Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge. arXiv preprint arXiv:1811.02629 (2018)"},{"key":"12_CR2","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.compbiomed.2018.02.004","volume":"95","author":"O Charron","year":"2018","unstructured":"Charron, O., Lallement, A., Jarnet, D., Noblet, V., Clavier, J.B., Meyer, P.: Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network. Comput. Biol. Med. 95, 43\u201354 (2018)","journal-title":"Comput. Biol. Med."},{"key":"12_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1007\/978-3-319-46723-8_49","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2016","author":"\u00d6 \u00c7i\u00e7ek","year":"2016","unstructured":"\u00c7i\u00e7ek, \u00d6., Abdulkadir, A., Lienkamp, S.S., Brox, T., Ronneberger, O.: 3D U-Net: learning dense volumetric segmentation from sparse annotation. In: Ourselin, S., Joskowicz, L., Sabuncu, M.R., Unal, G., Wells, W. (eds.) MICCAI 2016. LNCS, vol. 9901, pp. 424\u2013432. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46723-8_49"},{"key":"12_CR4","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.media.2016.10.004","volume":"36","author":"K Kamnitsas","year":"2017","unstructured":"Kamnitsas, K., et al.: Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Med. Image Anal. 36, 61\u201378 (2017)","journal-title":"Med. Image Anal."},{"key":"12_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1007\/978-3-030-00500-9_14","volume-title":"Patch-Based Techniques in Medical Imaging","author":"E Krivov","year":"2018","unstructured":"Krivov, E., et al.: Tumor delineation for brain radiosurgery by a ConvNet and non-uniform patch generation. In: Bai, W., Sanroma, G., Wu, G., Munsell, B.C., Zhan, Y., Coup\u00e9, P. (eds.) Patch-MI 2018. LNCS, vol. 11075, pp. 122\u2013129. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00500-9_14"},{"issue":"10","key":"12_CR6","doi-asserted-by":"publisher","first-page":"e0185844","DOI":"10.1371\/journal.pone.0185844","volume":"12","author":"Y Liu","year":"2017","unstructured":"Liu, Y., et al.: A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery. PLoS One 12(10), e0185844 (2017)","journal-title":"PLoS One"},{"issue":"24","key":"12_CR7","doi-asserted-by":"publisher","first-page":"8440","DOI":"10.1088\/0031-9155\/61\/24\/8440","volume":"61","author":"Y Liu","year":"2016","unstructured":"Liu, Y., et al.: Automatic metastatic brain tumor segmentation for stereotactic radiosurgery applications. Phys. Med. Biol. 61(24), 8440 (2016)","journal-title":"Phys. Med. Biol."},{"issue":"10","key":"12_CR8","doi-asserted-by":"publisher","first-page":"1993","DOI":"10.1109\/TMI.2014.2377694","volume":"34","author":"BH Menze","year":"2015","unstructured":"Menze, B.H., et al.: The multimodal brain tumor image segmentation benchmark (BRATS). IEEE Trans. Med. Imaging 34(10), 1993\u20132024 (2015)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Milletari, F., Navab, N., Ahmadi, S.A.: V-Net: fully convolutional neural networks for volumetric medical image segmentation. In: 2016 Fourth International Conference on 3D Vision (3DV), pp. 565\u2013571. IEEE (2016)","DOI":"10.1109\/3DV.2016.79"},{"issue":"6","key":"12_CR10","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1016\/j.clon.2014.02.013","volume":"26","author":"T Roques","year":"2014","unstructured":"Roques, T.: Patient selection and radiotherapy volume definition\u2013can we improve the weakest links in the treatment chain? Clin. Oncol. 26(6), 353\u2013355 (2014)","journal-title":"Clin. Oncol."},{"issue":"5","key":"12_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1118\/1.4871620","volume":"41","author":"G Sharp","year":"2014","unstructured":"Sharp, G., et al.: Vision 20\/20: perspectives on automated image segmentation for radiotherapy. Med. Phys. 41(5), 1\u201313 (2014)","journal-title":"Med. Phys."},{"issue":"Suppl. 2","key":"12_CR12","doi-asserted-by":"publisher","first-page":"2","DOI":"10.3171\/2014.7.GKS141199","volume":"121","author":"M Torrens","year":"2014","unstructured":"Torrens, M., et al.: Standardization of terminology in stereotactic radiosurgery: report from the Standardization Committee of the International Leksell Gamma Knife Society: special topic. J. Neurosurg. 121(Suppl. 2), 2\u201315 (2014)","journal-title":"J. Neurosurg."},{"issue":"6","key":"12_CR13","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1016\/j.media.2010.05.005","volume":"14","author":"B Van Ginneken","year":"2010","unstructured":"Van Ginneken, B., et al.: Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: the ANODE09 study. Med. Image Anal. 14(6), 707\u2013722 (2010)","journal-title":"Med. Image Anal."}],"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_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,18]],"date-time":"2025-05-18T22:03:15Z","timestamp":1747605795000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-46640-4_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030466398","9783030466404"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-46640-4_12","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"}}]}}