{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T06:27:08Z","timestamp":1747117628515,"version":"3.40.3"},"publisher-location":"Cham","reference-count":8,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030328740"},{"type":"electronic","value":"9783030328757"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-32875-7_8","type":"book-chapter","created":{"date-parts":[[2019,10,12]],"date-time":"2019-10-12T07:52:05Z","timestamp":1570866725000},"page":"65-73","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Monitoring Achilles Tendon Healing Progress in Ultrasound Imaging with Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Piotr","family":"Woznicki","sequence":"first","affiliation":[]},{"given":"Przemyslaw","family":"Przybyszewski","sequence":"additional","affiliation":[]},{"given":"Norbert","family":"Kapinski","sequence":"additional","affiliation":[]},{"given":"Jakub","family":"Zielinski","sequence":"additional","affiliation":[]},{"given":"Beata","family":"Ciszkowska-Lyson","sequence":"additional","affiliation":[]},{"given":"Bartosz","family":"Borucki","sequence":"additional","affiliation":[]},{"given":"Tomasz","family":"Trzcinski","sequence":"additional","affiliation":[]},{"given":"Krzysztof","family":"Nowinski","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,8]]},"reference":[{"issue":"6","key":"8_CR1","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1053\/j.jfas.2018.05.007","volume":"57","author":"K Zhou","year":"2018","unstructured":"Zhou, K., Song, L., Zhang, P., Wang, C., Wang, W.: Surgical versus non-surgical methods for acute achilles tendon rupture: a meta-analysis of randomized controlled trials. J. Foot Ankle Surg. 57(6), 1191\u20131199 (2018)","journal-title":"J. Foot Ankle Surg."},{"key":"8_CR2","doi-asserted-by":"publisher","first-page":"232596711878988","DOI":"10.1177\/2325967118789883","volume":"6","author":"K Hiramatsu","year":"2018","unstructured":"Hiramatsu, K., Tsujii, A., Nakamura, N., Mitsuoka, T.: Ultrasonographic evaluation of the early healing process after achilles tendon repair. Orthop. J. Sports Med. 6, 2325967118789883 (2018)","journal-title":"Orthop. J. Sports Med."},{"issue":"2","key":"8_CR3","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1136\/bjsm.37.2.149","volume":"37","author":"KM Khan","year":"2003","unstructured":"Khan, K.M., et al.: Are ultrasound and magnetic resonance imaging of value in assessment of achilles tendon disorders? A two year prospective study. Br. J. Sports Med. 37(2), 149\u2013153 (2003)","journal-title":"Br. J. Sports Med."},{"key":"8_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"949","DOI":"10.1007\/978-3-030-00934-2_105","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018","author":"N Kapinski","year":"2018","unstructured":"Kapinski, N., Zielinski, J., Borucki, B.A., Trzcinski, T., Ciszkowska-Lyson, B., Nowinski, K.S.: Estimating achilles tendon healing progress with convolutional neural networks. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L\u00f3pez, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11071, pp. 949\u2013957. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00934-2_105"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. CoRR, vol. abs\/1512.00567 (2015)","DOI":"10.1109\/CVPR.2016.308"},{"key":"8_CR6","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, vol. 25, pp. 1097\u20131105. Curran Associates Inc. (2012)"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. CoRR, vol. abs\/1512.03385 (2015)","DOI":"10.1109\/CVPR.2016.90"},{"key":"8_CR8","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/83.902291","volume":"10","author":"TF Chan","year":"2001","unstructured":"Chan, T.F., Vese, L.A.: Active contours without edges. Trans. Image Process. 10, 266\u2013277 (2001)","journal-title":"Trans. Image Process."}],"container-title":["Lecture Notes in Computer Science","Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32875-7_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T00:17:07Z","timestamp":1728692227000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-32875-7_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030328740","9783030328757"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32875-7_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"8 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SUSI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Smart Ultrasound Imaging","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":"13 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"susi2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sites.google.com\/view\/susi-miccai19","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"10","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"63% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.56","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.92","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}