{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T06:19:37Z","timestamp":1757312377641,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031783401"},{"type":"electronic","value":"9783031783418"}],"license":[{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T00:00:00Z","timestamp":1733097600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-78341-8_1","type":"book-chapter","created":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T15:14:51Z","timestamp":1733066091000},"page":"1-14","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Detection of\u00a0Intracranial Hemorrhage for\u00a0Trauma Patients"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4917-9529","authenticated-orcid":false,"given":"Antoine P.","family":"Sanner","sequence":"first","affiliation":[]},{"given":"Nils F.","family":"Grauhan","sequence":"additional","affiliation":[]},{"given":"Merle","family":"Meyer","sequence":"additional","affiliation":[]},{"given":"Laura","family":"Leukert","sequence":"additional","affiliation":[]},{"given":"Marc A.","family":"Brockmann","sequence":"additional","affiliation":[]},{"given":"Ahmed E.","family":"Othman","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0669-4018","authenticated-orcid":false,"given":"Anirban","family":"Mukhopadhyay","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,2]]},"reference":[{"key":"1_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1007\/978-3-030-87240-3_51","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2021","author":"M Baumgartner","year":"2021","unstructured":"Baumgartner, M., J\u00e4ger, P.F., Isensee, F., Maier-Hein, K.H.: nnDetection: a self-configuring method for medical object detection. In: de Bruijne, M., et al. (eds.) MICCAI 2021. LNCS, vol. 12905, pp. 530\u2013539. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-87240-3_51"},{"key":"1_CR2","doi-asserted-by":"crossref","unstructured":"Cohn, S.M.: The impending severe shortage of trauma\/critical care surgeons in the USA. World J. Surg. 34, 2355\u20132358 (2010). https:\/\/api.semanticscholar.org\/CorpusID:1468536","DOI":"10.1007\/s00268-010-0689-8"},{"issue":"4","key":"1_CR3","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1016\/j.tjem.2018.09.003","volume":"18","author":"\u015eK \u00c7orbac\u0131o\u011flu","year":"2018","unstructured":"\u00c7orbac\u0131o\u011flu, \u015eK., Aksel, G.: Whole body computed tomography in multi trauma patients: review of the current literature. Turk. J. Emerg. Med. 18(4), 142\u2013147 (2018)","journal-title":"Turk. J. Emerg. Med."},{"issue":"9","key":"1_CR4","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","volume":"30","author":"A Fedorov","year":"2012","unstructured":"Fedorov, A., et al.: 3D slicer as an image computing platform for the quantitative imaging network. Magn. Reson. Imaging 30(9), 1323\u20131341 (2012)","journal-title":"Magn. Reson. Imaging"},{"issue":"6","key":"1_CR5","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1007\/s12975-016-0480-8","volume":"7","author":"T Garton","year":"2016","unstructured":"Garton, T., et al.: Intraventricular hemorrhage: the role of blood components in secondary injury and hydrocephalus. Transl. Stroke Res. 7(6), 447\u2013451 (2016)","journal-title":"Transl. Stroke Res."},{"key":"1_CR6","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast R-CNN (2015)","DOI":"10.1109\/ICCV.2015.169"},{"issue":"2","key":"1_CR7","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","volume":"18","author":"F Isensee","year":"2021","unstructured":"Isensee, F., Jaeger, P.F., Kohl, S.A.A., Petersen, J., Maier-Hein, K.H.: nnU-net: a self-configuring method for deep learning-based biomedical image segmentation. Nat. Methods 18(2), 203\u2013211 (2021). https:\/\/doi.org\/10.1038\/s41592-020-01008-z","journal-title":"Nat. Methods"},{"key":"1_CR8","unstructured":"Jaeger, P.F., et al.: Retina U-net: embarrassingly simple exploitation of segmentation supervision for medical object detection. CoRR abs\/1811.08661 (2018). http:\/\/arxiv.org\/abs\/1811.08661"},{"key":"1_CR9","unstructured":"Li, X., et al.: The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: the instance challenge (2023)"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Goyal, P., Girshick, R., He, K., Doll\u00e1r, P.: Focal loss for dense object detection (2018)","DOI":"10.1109\/ICCV.2017.324"},{"key":"1_CR11","doi-asserted-by":"publisher","unstructured":"Murrugarra-Llerena, J., Kirsten, L., Jung, C.R.: Can we trust bounding box annotations for object detection? In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 4812\u20134821 (2022). https:\/\/doi.org\/10.1109\/CVPRW56347.2022.00528","DOI":"10.1109\/CVPRW56347.2022.00528"},{"key":"1_CR12","unstructured":"Paszke, A., et al.: Pytorch: an imperative style, high-performance deep learning library (2019)"},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Wagner, D.T., et al.: Artificial intelligence in neuroradiology: a review of current topics and competition challenges. Diagnostics 13 (2023). https:\/\/api.semanticscholar.org\/CorpusID:260916853","DOI":"10.3390\/diagnostics13162670"},{"key":"1_CR14","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/978-3-211-09469-3_29","volume":"105","author":"YF Wang","year":"2008","unstructured":"Wang, Y.F., Wu, J.S., Mao, Y., Chen, X.C., Zhou, L.F., Zhang, Y.: The optimal time-window for surgical treatment of spontaneous intracerebral hemorrhage: result of prospective randomized controlled trial of 500 cases. Acta Neurochir. Suppl. 105, 141\u2013145 (2008)","journal-title":"Acta Neurochir. Suppl."},{"issue":"1","key":"1_CR15","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1136\/jnnp.74.1.77","volume":"74","author":"JM Wardlaw","year":"2003","unstructured":"Wardlaw, J.M.: The impact of delays in computed tomography of the brain on the accuracy of diagnosis and subsequent management in patients with minor stroke. J. Neurol. Neurosurg. Psychiatry 74(1), 77\u201381 (2003)","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"1_CR16","doi-asserted-by":"crossref","unstructured":"Zhang, S., Chi, C., Yao, Y., Lei, Z., Li, S.Z.: Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection (2020)","DOI":"10.1109\/CVPR42600.2020.00978"},{"key":"1_CR17","doi-asserted-by":"crossref","unstructured":"Zheng, Z., Wang, P., Liu, W., Li, J., Ye, R., Ren, D.: Distance-IoU loss: faster and better learning for bounding box regression (2019)","DOI":"10.1609\/aaai.v34i07.6999"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78341-8_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T16:04:51Z","timestamp":1733069091000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78341-8_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,2]]},"ISBN":["9783031783401","9783031783418"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78341-8_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,2]]},"assertion":[{"value":"2 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"This study was performed in line with the principles of the Declaration of Helsinki. The retrospective evaluation of imaging data from the University Medical Center Mainz was approved by the local ethics boards (Project 2021-15948-retrospektiv). Ethical approval was not required, as confirmed by the license attached with the open access data.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with Ethical Standards"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}