{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T19:54:10Z","timestamp":1780430050579,"version":"3.54.1"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031273230","type":"print"},{"value":"9783031273247","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-27324-7_7","type":"book-chapter","created":{"date-parts":[[2023,3,13]],"date-time":"2023-03-13T05:03:00Z","timestamp":1678683780000},"page":"55-62","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision"],"prefix":"10.1007","author":[{"given":"Abdul","family":"Qayyum","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moona","family":"Mazher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven","family":"Niederer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Imran","family":"Razzak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,3,14]]},"reference":[{"key":"7_CR1","unstructured":"Payette, K., et al.\u00a0: Fetal brain tissue annotation and segmentation challenge results. arXiv preprint arXiv:2204.09573 (2022)"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Ma, J., et al.:Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge. Medical Image Analysis (2022): 102616","DOI":"10.1016\/j.media.2022.102616"},{"key":"7_CR3","doi-asserted-by":"crossref","unstructured":"Lalande, A., et al. \u201cDeep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge.\u201c Medical Image Analysis 79 (2022): 102428","DOI":"10.1016\/j.media.2022.102428"},{"issue":"3","key":"7_CR4","doi-asserted-by":"publisher","first-page":"3967","DOI":"10.32604\/cmc.2021.014158","volume":"67","author":"N Noreen","year":"2021","unstructured":"Noreen, N., Palaniappan, S., Qayyum, A., Ahmad, I., Alassafi, M.O.: Brain tumor classification based on fine-tuned models and the ensemble method. Comput. Mater. Continua 67(3), 3967\u20133982 (2021)","journal-title":"Comput. Mater. Continua"},{"key":"7_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2021.102014","volume":"95","author":"Z Chen","year":"2022","unstructured":"Chen, Z., et al.: Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI. Comput. Med. Imaging Graph. 95, 102014 (2022)","journal-title":"Comput. Med. Imaging Graph."},{"key":"7_CR6","unstructured":"Chen, T., et al. \u201cA simple framework for contrastive learning of visual representations.\u201c International conference on machine learning. PMLR, 2020"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Pathak, D., et al. \u201cContext encoders: Feature learning by inpainting.\u201c Proceedings of the IEEE conference on computer vision and pattern recognition. 2016","DOI":"10.1109\/CVPR.2016.278"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Chen, L., et al. \u201cSelf-supervised learning for medical image analysis using image context restoration.\u201c Medical image analysis 58 (2019): 101539","DOI":"10.1016\/j.media.2019.101539"},{"key":"7_CR9","unstructured":"https:\/\/github.com\/Project-MONAI\/MONAI"},{"issue":"7","key":"7_CR10","doi-asserted-by":"publisher","first-page":"3875","DOI":"10.1002\/mp.12268","volume":"44","author":"Y Xiao","year":"2017","unstructured":"Xiao, Y., Fortin, M., Unsg\u00e5rd, G., Rivaz, H., Reinertsen, I.: REtroSpective evaluation of cerebral Tumors (RESECT): a clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries. Med. Phys. 44(7), 3875\u20133882 (2017)","journal-title":"Med. Phys."},{"key":"7_CR11","unstructured":"The dataset can be downloaded at the following address. https:\/\/archive.norstore.no\/pages\/public\/datasetDetail.jsf?id=10.11582\/2017.00004"}],"container-title":["Lecture Notes in Computer Science","Lesion Segmentation in Surgical and Diagnostic Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-27324-7_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,13]],"date-time":"2023-03-13T05:03:50Z","timestamp":1678683830000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-27324-7_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031273230","9783031273247"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-27324-7_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"14 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CuRIOUS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"MICCAI Challenge on Correction of Brainshift with Intra-Operative Ultrasound","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"curious2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/curious2022.grand-challenge.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}