{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T09:10:44Z","timestamp":1758359444299,"version":"3.44.0"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783032049834"},{"type":"electronic","value":"9783032049841"}],"license":[{"start":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T00:00:00Z","timestamp":1758326400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T00:00:00Z","timestamp":1758326400000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-04984-1_2","type":"book-chapter","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T16:24:16Z","timestamp":1758299056000},"page":"14-23","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Causality-Inspired Model for\u00a0Intima-Media Thickening Assessment in\u00a0Ultrasound Videos"],"prefix":"10.1007","author":[{"given":"Shuo","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Xue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingyang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangquan","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,20]]},"reference":[{"issue":"3","key":"2_CR1","doi-asserted-by":"publisher","first-page":"127","DOI":"10.4103\/bc.bc_36_22","volume":"8","author":"SC Bir","year":"2022","unstructured":"Bir, S.C., Kelley, R.E.: Carotid atherosclerotic disease: a systematic review of pathogenesis and management. Brain Circulat. 8(3), 127\u2013136 (2022)","journal-title":"Brain Circulat."},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Chen, M., Wei, F., Li, C., Cai, D.: Frame-wise action representations for long videos via sequence contrastive learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13801\u201313810 (2022)","DOI":"10.1109\/CVPR52688.2022.01343"},{"key":"2_CR3","doi-asserted-by":"publisher","unstructured":"Cheng, H.K., Schwing, A.G.: Xmem: long-term video object segmentation with an atkinson-shiffrin memory model. In: European Conference on Computer Vision, pp. 640\u2013658. Springer, Heidelberg (2022). https:\/\/doi.org\/10.1007\/978-3-031-19815-1_37","DOI":"10.1007\/978-3-031-19815-1_37"},{"key":"2_CR4","doi-asserted-by":"crossref","unstructured":"Deng, Y., et al.: Stytr2: image style transfer with transformers. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11326\u201311336 (2022)","DOI":"10.1109\/CVPR52688.2022.01104"},{"issue":"9","key":"2_CR5","doi-asserted-by":"publisher","first-page":"1812","DOI":"10.1161\/01.STR.25.9.1812","volume":"25","author":"MA Espeland","year":"1994","unstructured":"Espeland, M.A., Hoen, H., Byington, R., Howard, G., Riley, W.A., Furberg, C.D.: Spatial distribution of carotid intimal-medial thickness as measured by b-mode ultrasonography. Stroke 25(9), 1812\u20131819 (1994)","journal-title":"Stroke"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Fasching, J., Walczak, N., Morellas, V., Papanikolopoulos, N.: Classification of motor stereotypies in video. In: 2015 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4894\u20134900. IEEE (2015)","DOI":"10.1109\/IROS.2015.7354065"},{"key":"2_CR7","doi-asserted-by":"crossref","unstructured":"Gatys, L.A., Ecker, A.S., Bethge, M., Hertzmann, A., Shechtman, E.: Controlling perceptual factors in neural style transfer. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3985\u20133993 (2017)","DOI":"10.1109\/CVPR.2017.397"},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"2_CR9","doi-asserted-by":"publisher","first-page":"1321884","DOI":"10.3389\/frai.2024.1321884","volume":"7","author":"L He","year":"2024","unstructured":"He, L., et al.: A deep learning algorithm to identify carotid plaques and assess their stability. Front. Artif. Intell. 7, 1321884 (2024)","journal-title":"Front. Artif. Intell."},{"key":"2_CR10","doi-asserted-by":"crossref","unstructured":"Huang, X., Belongie, S.: Arbitrary style transfer in real-time with adaptive instance normalization. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1501\u20131510 (2017)","DOI":"10.1109\/ICCV.2017.167"},{"key":"2_CR11","doi-asserted-by":"publisher","first-page":"0467","DOI":"10.34133\/research.0467","volume":"7","author":"L Jiao","year":"2024","unstructured":"Jiao, L., et al.: Causal inference meets deep learning: a comprehensive survey. Research 7, 0467 (2024)","journal-title":"Research"},{"issue":"9","key":"2_CR12","doi-asserted-by":"publisher","first-page":"1521","DOI":"10.1007\/s003300100963","volume":"11","author":"P Landwehr","year":"2001","unstructured":"Landwehr, P., Schulte, O., Voshage, G.: Ultrasound examination of carotid and vertebral arteries. Eur. Radiol. 11(9), 1521\u20131534 (2001). https:\/\/doi.org\/10.1007\/s003300100963","journal-title":"Eur. Radiol."},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Lin, J., Gan, C., Han, S.: Tsm: temporal shift module for efficient video understanding. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 7083\u20137093 (2019)","DOI":"10.1109\/ICCV.2019.00718"},{"key":"2_CR14","doi-asserted-by":"crossref","unstructured":"Liu, Y., Qin, G., Chen, H., Cheng, Z., Yang, X.: Causality-inspired invariant representation learning for text-based person retrieval. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a038, pp. 14052\u201314060 (2024)","DOI":"10.1609\/aaai.v38i12.29314"},{"key":"2_CR15","doi-asserted-by":"crossref","unstructured":"Long, S., Han, S.C., Wan, X., Poon, J.: Gradual: graph-based dual-modal representation for image-text matching. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 3459\u20133468 (2022)","DOI":"10.1109\/WACV51458.2022.00252"},{"issue":"1","key":"2_CR16","doi-asserted-by":"publisher","first-page":"18","DOI":"10.5551\/jat.31989","volume":"23","author":"T Nezu","year":"2016","unstructured":"Nezu, T., Hosomi, N., Aoki, S., Matsumoto, M.: Carotid intima-media thickness for atherosclerosis. J. Atheroscler. Thromb. 23(1), 18\u201331 (2016)","journal-title":"J. Atheroscler. Thromb."},{"issue":"3","key":"2_CR17","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1016\/j.gheart.2016.08.006","volume":"11","author":"JF Polak","year":"2016","unstructured":"Polak, J.F., O\u2019Leary, D.H.: Carotid intima-media thickness as surrogate for and predictor of cvd. Glob. Heart 11(3), 295\u2013312 (2016)","journal-title":"Glob. Heart"},{"key":"2_CR18","unstructured":"Radford, A., et\u00a0al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp. 8748\u20138763. PMLR (2021)"},{"key":"2_CR19","doi-asserted-by":"crossref","unstructured":"Selvaraju, R.R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., Batra, D.: Grad-cam: visual explanations from deep networks via gradient-based localization. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 618\u2013626 (2017)","DOI":"10.1109\/ICCV.2017.74"},{"key":"2_CR20","doi-asserted-by":"crossref","unstructured":"Shan, C., et al.: Lsmd: long-short memory-based detection network for carotid artery detection in b-mode ultrasound video streams. IEEE Trans. Ultrasonics Ferroelectr. Freq. Control (2024)","DOI":"10.1109\/TUFFC.2024.3494019"},{"issue":"2","key":"2_CR21","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.imed.2023.05.003","volume":"4","author":"S Singh","year":"2024","unstructured":"Singh, S., Jain, P.K., Sharma, N., Pohit, M., Roy, S.: Atherosclerotic plaque classification in carotid ultrasound images using machine learning and explainable deep learning. Intell. Med. 4(2), 83\u201395 (2024)","journal-title":"Intell. Med."},{"key":"2_CR22","doi-asserted-by":"crossref","unstructured":"Touboul, P.J., Grobbee, D.E., Ruijter, H.D.: Assessment of subclinical atherosclerosis by carotid intima media thickness: technical issues. Eur. J. Prevent. Cardiol. 19(2_suppl), 18\u201324 (2012)","DOI":"10.1177\/2047487312448990"},{"key":"2_CR23","first-page":"24824","volume":"35","author":"J Wei","year":"2022","unstructured":"Wei, J., et al.: Chain-of-thought prompting elicits reasoning in large language models. Adv. Neural. Inf. Process. Syst. 35, 24824\u201324837 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"2_CR24","doi-asserted-by":"crossref","unstructured":"Wu, W., He, D., Lin, T., Li, F., Gan, C., Ding, E.: Mvfnet: multi-view fusion network for efficient video recognition. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a035, pp. 2943\u20132951 (2021)","DOI":"10.1609\/aaai.v35i4.16401"},{"key":"2_CR25","doi-asserted-by":"crossref","unstructured":"Yang, J., et al.: Automated classification of coronary plaque on intravascular ultrasound by deep classifier cascades. IEEE Trans. Ultrasonics Ferroelectr. Freq. Control (2024)","DOI":"10.1109\/TUFFC.2024.3475033"},{"key":"2_CR26","unstructured":"Zhang, Y., Jiang, H., Miura, Y., Manning, C.D., Langlotz, C.P.: Contrastive learning of medical visual representations from paired images and text. In: Machine Learning for Healthcare Conference, pp. 2\u201325. PMLR (2022)"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-04984-1_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T16:24:27Z","timestamp":1758299067000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-04984-1_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,20]]},"ISBN":["9783032049834","9783032049841"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-04984-1_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,9,20]]},"assertion":[{"value":"20 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"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":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}