{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T11:18:18Z","timestamp":1777029498476,"version":"3.51.4"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031736469","type":"print"},{"value":"9783031736476","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,10,5]],"date-time":"2024-10-05T00:00:00Z","timestamp":1728086400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,5]],"date-time":"2024-10-05T00:00:00Z","timestamp":1728086400000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-73647-6_5","type":"book-chapter","created":{"date-parts":[[2024,10,4]],"date-time":"2024-10-04T08:02:10Z","timestamp":1728028930000},"page":"47-57","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["PIPsUS: Self-supervised Point Tracking in\u00a0Ultrasound"],"prefix":"10.1007","author":[{"given":"Wanwen","family":"Chen","sequence":"first","affiliation":[]},{"given":"Adam","family":"Schmidt","sequence":"additional","affiliation":[]},{"given":"Eitan","family":"Prisman","sequence":"additional","affiliation":[]},{"given":"Septimiu E.","family":"Salcudean","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,5]]},"reference":[{"key":"5_CR1","doi-asserted-by":"crossref","unstructured":"Al-Battal, A.F., Lerman, I.R., Nguyen, T.Q.: Object detection and tracking in ultrasound scans using an optical flow and semantic segmentation framework based on convolutional neural networks. In: ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 1096\u20131100. IEEE (2022)","DOI":"10.1109\/ICASSP43922.2022.9747608"},{"key":"5_CR2","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.cmpb.2018.03.013","volume":"160","author":"M Alkhatib","year":"2018","unstructured":"Alkhatib, M., Hafiane, A., Tahri, O., Vieyres, P., Delbos, A.: Adaptive median binary patterns for fully automatic nerves tracking in ultrasound images. Computer methods and programs in biomedicine 160, 129\u2013140 (2018)","journal-title":"Computer methods and programs in biomedicine"},{"key":"5_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12938-017-0335-x","volume":"16","author":"BI Chuang","year":"2017","unstructured":"Chuang, B.I., Hsu, J.H., Kuo, L.C., Jou, I.M., Su, F.C., Sun, Y.N.: Tendon-motion tracking in an ultrasound image sequence using optical-flow-based block matching. Biomedical engineering online 16, 1\u201319 (2017)","journal-title":"Biomedical engineering online"},{"key":"5_CR4","doi-asserted-by":"publisher","first-page":"843","DOI":"10.1007\/s11548-015-1204-3","volume":"10","author":"D Dall\u2019Alba","year":"2015","unstructured":"Dall\u2019Alba, D., Fiorini, P.: Bipco: ultrasound feature points based on phase congruency detector and binary pattern descriptor. International journal of computer assisted radiology and surgery 10, 843\u2013854 (2015)","journal-title":"International journal of computer assisted radiology and surgery"},{"issue":"11","key":"5_CR5","doi-asserted-by":"publisher","first-page":"4986","DOI":"10.1002\/mp.13152","volume":"45","author":"V De Luca","year":"2018","unstructured":"De\u00a0Luca, V., Banerjee, J., Hallack, A., Kondo, S., Makhinya, M., Nouri, D., Royer, L., Cifor, A., Dardenne, G., Goksel, O., et\u00a0al.: Evaluation of 2d and 3d ultrasound tracking algorithms and impact on ultrasound-guided liver radiotherapy margins. Medical physics 45(11), 4986\u20135003 (2018)","journal-title":"Medical physics"},{"key":"5_CR6","first-page":"13610","volume":"35","author":"C Doersch","year":"2022","unstructured":"Doersch, C., Gupta, A., Markeeva, L., Recasens, A., Smaira, L., Aytar, Y., Carreira, J., Zisserman, A., Yang, Y.: Tap-vid: A benchmark for tracking any point in a video. Advances in Neural Information Processing Systems 35, 13610\u201313626 (2022)","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"12","key":"5_CR7","doi-asserted-by":"publisher","first-page":"2565","DOI":"10.1109\/TUFFC.2020.2976809","volume":"67","author":"E Evain","year":"2020","unstructured":"Evain, E., Faraz, K., Grenier, T., Garcia, D., De\u00a0Craene, M., Bernard, O.: A pilot study on convolutional neural networks for motion estimation from ultrasound images. IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67(12), 2565\u20132573 (2020)","journal-title":"IEEE transactions on ultrasonics, ferroelectrics, and frequency control"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Harley, A.W., Fang, Z., Fragkiadaki, K.: Particle video revisited: Tracking through occlusions using point trajectories. In: European Conference on Computer Vision. pp. 59\u201375. Springer (2022)","DOI":"10.1007\/978-3-031-20047-2_4"},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"Ihler, S., Kuhnke, F., Laves, M.H., Ortmaier, T.: Self-supervised domain adaptation for patient-specific, real-time tissue tracking. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2020: 23rd International Conference, Lima, Peru, October 4\u20138, 2020, Proceedings, Part III 23. pp. 54\u201364. Springer (2020)","DOI":"10.1007\/978-3-030-59716-0_6"},{"key":"5_CR10","doi-asserted-by":"publisher","first-page":"2527","DOI":"10.1109\/TBME.2014.2322864","volume":"61","author":"A Lasso","year":"2014","unstructured":"Lasso, A., Heffter, T., Rankin, A., Pinter, C., Ungi, T., Fichtinger, G.: PLUS: Open-source toolkit for ultrasound-guided intervention systems. IEEE Transactions on Biomedical Engineering 61, 2527\u20132537 (2014)","journal-title":"IEEE Transactions on Biomedical Engineering"},{"key":"5_CR11","first-page":"7","volume":"10","author":"J Lewis","year":"2001","unstructured":"Lewis, J.: Fast normalized cross-correlation. Industrial Light & Magic 10, \u00a07 (2001)","journal-title":"Industrial Light & Magic"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Liang, H., Ning, G., Zhang, X., Liao, H.: Semi-supervised anatomy tracking with contrastive representation learning in ultrasound sequences. In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). pp.\u00a01\u20135. IEEE (2023)","DOI":"10.1109\/ISBI53787.2023.10230348"},{"key":"5_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101793","volume":"65","author":"F Liu","year":"2020","unstructured":"Liu, F., Liu, D., Tian, J., Xie, X., Yang, X., Wang, K.: Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences. Medical image analysis 65, 101793 (2020)","journal-title":"Medical image analysis"},{"key":"5_CR14","doi-asserted-by":"publisher","first-page":"1525","DOI":"10.1007\/s11548-018-1786-7","volume":"13","author":"I Machado","year":"2018","unstructured":"Machado, I., Toews, M., Luo, J., Unadkat, P., Essayed, W., George, E., Teodoro, P., Carvalho, H., Martins, J., Golland, P., et\u00a0al.: Non-rigid registration of 3d ultrasound for neurosurgery using automatic feature detection and matching. International journal of computer assisted radiology and surgery 13, 1525\u20131538 (2018)","journal-title":"International journal of computer assisted radiology and surgery"},{"key":"5_CR15","first-page":"20","volume":"20","author":"M Makhinya","year":"2015","unstructured":"Makhinya, M., Goksel, O.: Motion tracking in 2d ultrasound using vessel models and robust optic-flow. Proceedings of MICCAI CLUST 20, 20\u201327 (2015)","journal-title":"Proceedings of MICCAI CLUST"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Nicke, T., Graf, L., Lauri, M., Mischkewitz, S., Frintrop, S., Heinrich, M.P.: Realtime optical flow estimation on vein and artery ultrasound sequences based on knowledge-distillation. In: International Workshop on Biomedical Image Registration. pp. 134\u2013143. Springer (2022)","DOI":"10.1007\/978-3-031-11203-4_15"},{"key":"5_CR17","unstructured":"Ouyang, D., He, B., Ghorbani, A., Lungren, M.P., Ashley, E.A., Liang, D.H., Zou, J.Y.: Echonet-dynamic: a large new cardiac motion video data resource for medical machine learning. In: NeurIPS ML4H Workshop: Vancouver, BC, Canada (2019)"},{"issue":"3","key":"5_CR18","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1109\/TMI.2018.2870947","volume":"38","author":"N Ouzir","year":"2018","unstructured":"Ouzir, N., Basarab, A., Lairez, O., Tourneret, J.Y.: Robust optical flow estimation in cardiac ultrasound images using a sparse representation. IEEE transactions on medical imaging 38(3), 741\u2013752 (2018)","journal-title":"IEEE transactions on medical imaging"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Shen, C., He, J., Huang, Y., Wu, J.: Discriminative correlation filter network for robust landmark tracking in ultrasound guided intervention. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13\u201317, 2019, Proceedings, Part V 22. pp. 646\u2013654. Springer (2019)","DOI":"10.1007\/978-3-030-32254-0_72"},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"Teed, Z., Deng, J.: Raft: Recurrent all-pairs field transforms for optical flow. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part II 16. pp. 402\u2013419. Springer (2020)","DOI":"10.1007\/978-3-030-58536-5_24"},{"key":"5_CR21","doi-asserted-by":"crossref","unstructured":"Wang, Q., Chang, Y.Y., Cai, R., Li, Z., Hariharan, B., Holynski, A., Snavely, N.: Tracking everything everywhere all at once. arXiv preprint arXiv:2306.05422 (2023)","DOI":"10.1109\/ICCV51070.2023.01813"},{"issue":"19","key":"5_CR22","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ac9032","volume":"67","author":"Y Wang","year":"2022","unstructured":"Wang, Y., Fu, T., Wang, Y., Xiao, D., Lin, Y., Fan, J., Song, H., Liu, F., Yang, J.: Multi3: multi-templates siamese network with multi-peaks detection and multi-features refinement for target tracking in ultrasound image sequences. Physics in Medicine & Biology 67(19), 195007 (2022)","journal-title":"Physics in Medicine & Biology"},{"issue":"3","key":"5_CR23","first-page":"493","volume":"18","author":"D Wulff","year":"2023","unstructured":"Wulff, D., Hagenah, J., Ernst, F.: Landmark tracking in 4d ultrasound using generalized representation learning. International Journal of Computer Assisted Radiology and Surgery 18(3), 493\u2013500 (2023)","journal-title":"International Journal of Computer Assisted Radiology and Surgery"},{"issue":"1","key":"5_CR24","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1515\/cdbme-2019-0151","volume":"5","author":"D Wulff","year":"2019","unstructured":"Wulff, D., Kuhlemann, I., Ernst, F., Schweikard, A., Ipsen, S.: Robust motion tracking of deformable targets in the liver using binary feature libraries in 4d ultrasound. Current Directions in Biomedical Engineering 5(1), 601\u2013604 (2019)","journal-title":"Current Directions in Biomedical Engineering"},{"key":"5_CR25","doi-asserted-by":"crossref","unstructured":"Zhao, C., Droste, R., Drukker, L., Papageorghiou, A.T., Noble, J.A.: Uspoint: Self-supervised interest point detection and description for ultrasound-probe motion estimation during fine-adjustment standard fetal plane finding. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 104\u2013114. Springer (2022)","DOI":"10.1007\/978-3-031-16449-1_11"},{"key":"5_CR26","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Harley, A.W., Shen, B., Wetzstein, G., Guibas, L.J.: Pointodyssey: A large-scale synthetic dataset for long-term point tracking. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 19855\u201319865 (2023)","DOI":"10.1109\/ICCV51070.2023.01818"}],"container-title":["Lecture Notes in Computer Science","Simplifying Medical Ultrasound"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73647-6_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T08:47:19Z","timestamp":1738140439000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73647-6_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,5]]},"ISBN":["9783031736469","9783031736476"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73647-6_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,5]]},"assertion":[{"value":"5 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ASMUS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Advances in Simplifying Medical Ultrasound","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":"6 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"asmus2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/miccai-ultrasound.github.io\/#\/asmus24","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}