{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:48:19Z","timestamp":1742914099943,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031721199"},{"type":"electronic","value":"9783031721205"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-72120-5_15","type":"book-chapter","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T12:02:53Z","timestamp":1727870573000},"page":"157-166","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Context-Guided Continual Reinforcement Learning for\u00a0Landmark Detection with\u00a0Incomplete Data"],"prefix":"10.1007","author":[{"given":"Kaiwen","family":"Wan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bomin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuping","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiyu","family":"Gong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiahai","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,3]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Perez-Rua, J., Zhu, X., Hospedales, T. & Xiang, T. Incremental few-shot object detection. Proceedings Of The IEEE\/CVF Conference On Computer Vision And Pattern Recognition. pp. 13846-13855 (2020)","key":"15_CR1","DOI":"10.1109\/CVPR42600.2020.01386"},{"doi-asserted-by":"crossref","unstructured":"Wan, K., Li, L., Jia, D., Gao, S., Qian, W., Wu, Y., Lin, H., Mu, X., Gao, X., Wang, S. & Others Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding. Medical Image Analysis. pp. 102875 (2023)","key":"15_CR2","DOI":"10.1016\/j.media.2023.102875"},{"doi-asserted-by":"crossref","unstructured":"Kang, S., Jeon, K., Kang, S. & Lee, S. 3D Cephalometric landmark detection by multiple stage deep reinforcement learning. Scientific Reports. 11, 17509 (2021,9,1)","key":"15_CR3","DOI":"10.1038\/s41598-021-97116-7"},{"doi-asserted-by":"crossref","unstructured":"Shieh, J., Haq, Q., Haq, M., Karam, S., Chondro, P., Gao, D. & Ruan, S. Continual Learning Strategy in One-Stage Object Detection Framework Based on Experience Replay for Autonomous Driving Vehicle. Sensors. 20 (2020)","key":"15_CR4","DOI":"10.3390\/s20236777"},{"doi-asserted-by":"crossref","unstructured":"Alansary, A., Oktay, O., Li, Y., Le Folgoc, L., Hou, B., Vaillant, G., Kamnitsas, K., Vlontzos, A., Glocker, B., Kainz, B. & Others Evaluating reinforcement learning agents for anatomical landmark detection. Medical Image Analysis. 53 pp. 156-164 (2019)","key":"15_CR5","DOI":"10.1016\/j.media.2019.02.007"},{"doi-asserted-by":"crossref","unstructured":"Escobar, M., Gonz\u00e1lez, C., Torres, F., Daza, L., Triana, G. & Arbel\u00e1ez, P. Hand pose estimation for pediatric bone age assessment. Medical Image Computing And Computer Assisted Intervention-MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI 22. pp. 531-539 (2019)","key":"15_CR6","DOI":"10.1007\/978-3-030-32226-7_59"},{"doi-asserted-by":"crossref","unstructured":"Ham, G. & Oh, K. Learning Spatial Configuration Feature for Landmark Localization in Hand X-rays. Electronics. 12 (2023),","key":"15_CR7","DOI":"10.3390\/electronics12194038"},{"doi-asserted-by":"crossref","unstructured":"Gao, X., Hofman, A., Hu, Y., Lin, H., Zhu, C., Jeekel, J., Xue-Jin, Ji-Wang, Gao, J., Yin, Y. & Zhao, N. The Shanghai Changfeng Study: a community-based prospective cohort study of chronic diseases among middle-aged and elderly: objectives and design. European Journal Of Epidemiology. 25 pp. 885-893 (2010)","key":"15_CR8","DOI":"10.1007\/s10654-010-9525-6"},{"doi-asserted-by":"crossref","unstructured":"Shepherd, J., Ng, B., Fan, B., Schwartz, A., Cawthon, P., Cummings, S., Kritchevsky, S., Nevitt, M., Santanasto, A. & Cootes, T. Modeling the shape and composition of the human body using dual energy X-ray absorptiometry images. PLOS ONE. 12 pp. e0175857 (2017,4)","key":"15_CR9","DOI":"10.1371\/journal.pone.0175857"},{"doi-asserted-by":"crossref","unstructured":"Terada, T., Chen, Y. & Kimura, R. 3D Facial Landmark Detection Using Deep Convolutional Neural Networks. 2018 14th International Conference On Natural Computation, Fuzzy Systems And Knowledge Discovery (ICNC-FSKD). pp. 390-393 (2018)","key":"15_CR10","DOI":"10.1109\/FSKD.2018.8687254"},{"key":"15_CR11","first-page":"45","volume-title":"Chapter 3 - Robust Multi-Landmark Detection Based on Information Theoretic Scheduling","author":"Y Zhan","year":"2016","unstructured":"Zhan, Y., Peng, Z., Hermosillo, G. & Zhou, X. Chapter 3 - Robust Multi-Landmark Detection Based on Information Theoretic Scheduling. Medical Image Recognition, Segmentation And Parsing. pp. 45-70 (2016)"},{"unstructured":"Seghers, D., Slagmolen, P., Lambelin, Y., Hermans, J., Loeckx, D., Maes, F. & Suetens, P. Landmark based liver segmentation using local shape and local intensity models. Proc. Workshop Of The 10th Int. Conf. On MICCAI, Workshop On 3D Segmentation In The Clinic: A Grand Challenge. pp. 135-142 (2007)","key":"15_CR12"},{"doi-asserted-by":"crossref","unstructured":"Rios, A. & Itti, L. Closed-Loop Memory GAN for Continual Learning. International Joint Conference On Artificial Intelligence. (2018)","key":"15_CR13","DOI":"10.24963\/ijcai.2019\/462"},{"doi-asserted-by":"crossref","unstructured":"Zeng, H., Ge, J., Xu, W., Ma, H., Chen, L., Xia, M., Pan, B., Lin, H., Wang, S. & Gao, X. Twelve Loci Associated With Bone Density in Middle-aged and Elderly Chinese: The Shanghai Changfeng Study. The Journal Of Clinical Endocrinology & Metabolism. (2022,10), dgac597","key":"15_CR14","DOI":"10.1210\/clinem\/dgac597"},{"issue":"2","key":"15_CR15","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1148\/radiol.2018180736","volume":"290","author":"S Halabi","year":"2019","unstructured":"Halabi, S., Prevedello, L., Kalpathy-Cramer, J., Mamonov, A., Bilbily, A., Cicero, M., Pan, I., Pereira, L., Sousa, R., Abdala, N., Kitamura, F., Thodberg, H., Chen, L., Shih, G., Andriole, K., Kohli, M., Erickson, B. & Flanders, A. The RSNA Pediatric Bone Age Machine Learning Challenge. Radiology. 290 2 pp. 498-503 (2019)","journal-title":"Radiology."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72120-5_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T12:23:43Z","timestamp":1727871823000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72120-5_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031721199","9783031721205"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72120-5_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"3 October 2024","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":"Marrakesh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","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":"7 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 October 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":"miccai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2024\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}