{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T06:57:01Z","timestamp":1758351421989,"version":"3.44.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783032051400"},{"type":"electronic","value":"9783032051417"}],"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\/978-3-032-05141-7_19","type":"book-chapter","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:17:33Z","timestamp":1758269853000},"page":"189-198","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Fetuses Made Simple: Modeling and\u00a0Tracking of\u00a0Fetal Shape and\u00a0Pose"],"prefix":"10.1007","author":[{"given":"Yingcheng","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peiqi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Diaz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Esra","family":"Abaci Turk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin","family":"Billot","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P. Ellen","family":"Grant","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Polina","family":"Golland","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,20]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Alldieck, T., Magnor, M., Xu, W., Theobalt, C., Pons-Moll, G.: Video based reconstruction of 3D people models. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8387\u20138397 (2018)","DOI":"10.1109\/CVPR.2018.00875"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Barron, J.T.: A general and adaptive robust loss function. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4331\u20134339 (2019)","DOI":"10.1109\/CVPR.2019.00446"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Billot, B., et al.: SE(3)-equivariant and noise-invariant 3D rigid motion tracking in brain MRI. IEEE Transactions on Medical Imaging (2024)","DOI":"10.1109\/TMI.2024.3411989"},{"key":"19_CR4","unstructured":"Billot, B., Dey, N., Turk, E.A., Grant, E., Golland, P.: Network conditioning for synergistic learning on partial annotations. In: Medical Imaging with Deep Learning (2024)"},{"issue":"3","key":"19_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1970392.1970395","volume":"58","author":"EJ Cand\u00e8s","year":"2011","unstructured":"Cand\u00e8s, E.J., Li, X., Ma, Y., Wright, J.: Robust principal component analysis? J. ACM (JACM) 58(3), 1\u201337 (2011)","journal-title":"J. ACM (JACM)"},{"key":"19_CR6","unstructured":"Chi, Z., et al.: Dynamic neural fields for learning atlases of 4D fetal MRI time-series. arXiv preprint arXiv:2311.02874 (2023)"},{"issue":"10","key":"19_CR7","doi-asserted-by":"publisher","first-page":"2540","DOI":"10.1109\/TPAMI.2019.2917908","volume":"42","author":"N Hesse","year":"2019","unstructured":"Hesse, N., Pujades, S., Black, M.J., Arens, M., Hofmann, U.G., Schroeder, A.S.: Learning and tracking the 3D body shape of freely moving infants from RGB-D sequences. IEEE Trans. Pattern Anal. Mach. Intell. 42(10), 2540\u20132551 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"19_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"792","DOI":"10.1007\/978-3-030-00928-1_89","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018","author":"N Hesse","year":"2018","unstructured":"Hesse, N., et al.: Learning an infant body model from RGB-D data for accurate full body motion analysis. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L\u00f3pez, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11070, pp. 792\u2013800. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00928-1_89"},{"key":"19_CR9","doi-asserted-by":"publisher","unstructured":"Kaufmann, M., Vechev, V., Mylonopoulos, D.: aitviewer (2022). https:\/\/doi.org\/10.5281\/zenodo.10013305, https:\/\/github.com\/eth-ait\/aitviewer","DOI":"10.5281\/zenodo.10013305"},{"key":"19_CR10","unstructured":"Kingma, D.P.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"19_CR11","doi-asserted-by":"crossref","unstructured":"Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., Black, M.J.: SMPL: a skinned multi-person linear model. In: Seminal Graphics Papers: Pushing the Boundaries, Vol. 2, pp. 851\u2013866 (2023)","DOI":"10.1145\/3596711.3596800"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Lorensen, W.E., Cline, H.E.: Marching cubes: a high resolution 3D surface construction algorithm. In: Seminal Graphics: Pioneering Efforts that Shaped the Field, pp. 347\u2013353 (1998)","DOI":"10.1145\/280811.281026"},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Pavlakos, G., et al.: Expressive body capture: 3D hands, face, and body from a single image. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10975\u201310985 (2019)","DOI":"10.1109\/CVPR.2019.01123"},{"key":"19_CR14","unstructured":"Ravi, N., et al.: Accelerating 3D deep learning with PyTorch3D. arXiv:2007.08501 (2020)"},{"issue":"15","key":"19_CR15","doi-asserted-by":"publisher","first-page":"1108","DOI":"10.1161\/CIRCULATIONAHA.121.056305","volume":"145","author":"A Sadhwani","year":"2022","unstructured":"Sadhwani, A., et al.: Fetal brain volume predicts neurodevelopment in congenital heart disease. Circulation 145(15), 1108\u20131119 (2022)","journal-title":"Circulation"},{"issue":"6","key":"19_CR16","doi-asserted-by":"publisher","first-page":"737","DOI":"10.1515\/jpm-2016-0250","volume":"45","author":"S Sajapala","year":"2017","unstructured":"Sajapala, S., AboEllail, M.A.M., Kanenishi, K., Mori, N., Marumo, G., Hata, T.: 4D ultrasound study of fetal movement early in the second trimester of pregnancy. J. Perinat. Med. 45(6), 737\u2013743 (2017)","journal-title":"J. Perinat. Med."},{"key":"19_CR17","doi-asserted-by":"crossref","unstructured":"Snijders, R., Nicolaides, K.: Fetal biometry at 14\u201340 weeks\u2019 gestation. Ultrasound in Obstetrics and Gynecology. The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology 4(1), 34\u201348 (1994)","DOI":"10.1046\/j.1469-0705.1994.04010034.x"},{"issue":"1","key":"19_CR18","doi-asserted-by":"publisher","first-page":"6637","DOI":"10.1038\/s41598-024-57087-x","volume":"14","author":"AU Uus","year":"2024","unstructured":"Uus, A.U., et al.: Automated body organ segmentation, volumetry and population-averaged atlas for 3D motion-corrected T2-weighted fetal body MRI. Sci. Rep. 14(1), 6637 (2024)","journal-title":"Sci. Rep."},{"issue":"3","key":"19_CR19","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1159\/000528757","volume":"45","author":"L Vasung","year":"2023","unstructured":"Vasung, L., et al.: Cross-sectional observational study of typical in utero fetal movements using machine learning. Dev. Neurosci. 45(3), 105\u2013114 (2023)","journal-title":"Dev. Neurosci."},{"key":"19_CR20","unstructured":"Xu, J., Turk, E.A., Gagoski, B., Golland, P., Grant, P.E., Adalsteinsson, E.: Motion analysis in fetal MRI using deep pose estimator. In: Proceedings of the International Society for Magnetic Resonance in Medicine... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. vol.\u00a029. NIH Public Access (2021)"},{"key":"19_CR21","doi-asserted-by":"crossref","unstructured":"Xu, J., Zhang, M., Turk, E.A., Grant, P.E., Golland, P., Adalsteinsson, E.: 3D fetal pose estimation with adaptive variance and conditional generative adversarial network. In: Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis: First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings 1, pp. 201\u2013210. Springer (2020)","DOI":"10.1007\/978-3-030-60334-2_20"},{"key":"19_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/978-3-030-32251-9_44","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2019","author":"J Xu","year":"2019","unstructured":"Xu, J., et al.: Fetal pose estimation in volumetric MRI using a 3D convolution neural network. In: Shen, D., et al. (eds.) MICCAI 2019. LNCS, vol. 11767, pp. 403\u2013410. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-32251-9_44"}],"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\/978-3-032-05141-7_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:17:43Z","timestamp":1758269863000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-05141-7_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,20]]},"ISBN":["9783032051400","9783032051417"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-05141-7_19","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.","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"}}]}}