{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T00:14:24Z","timestamp":1758932064036,"version":"3.44.0"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032063281","type":"print"},{"value":"9783032063298","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T00:00:00Z","timestamp":1758931200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T00:00:00Z","timestamp":1758931200000},"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\/978-3-032-06329-8_1","type":"book-chapter","created":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T07:39:40Z","timestamp":1758872380000},"page":"3-12","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["DualTrack: Sensorless 3D Ultrasound needs Local and\u00a0Global Context"],"prefix":"10.1007","author":[{"given":"Paul F. R.","family":"Wilson","sequence":"first","affiliation":[]},{"given":"Matteo","family":"Ronchetti","sequence":"additional","affiliation":[]},{"given":"R\u00fcdiger","family":"G\u00f6bl","sequence":"additional","affiliation":[]},{"given":"Viktoria","family":"Markova","sequence":"additional","affiliation":[]},{"given":"Sebastian","family":"Rosenzweig","sequence":"additional","affiliation":[]},{"given":"Raphael","family":"Prevost","sequence":"additional","affiliation":[]},{"given":"Parvin","family":"Mousavi","sequence":"additional","affiliation":[]},{"given":"Oliver","family":"Zettinig","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,27]]},"reference":[{"key":"1_CR1","doi-asserted-by":"crossref","unstructured":"Farshad, A., Yeganeh, Y., Gehlbach, P., Navab, N.: Y-Net: a spatiospectral dual-encoder network for medical image segmentation. In: International conference on medical image computing and computer-assisted intervention, pp. 582\u2013592. Springer (2022)","DOI":"10.1007\/978-3-031-16434-7_56"},{"key":"1_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106197","volume":"150","author":"Z Fu","year":"2022","unstructured":"Fu, Z., Li, J., Hua, Z.: DEAU-Net: attention networks based on dual encoder for medical image segmentation. Comput. Biol. Med. 150, 106197 (2022)","journal-title":"Comput. Biol. Med."},{"issue":"3","key":"1_CR3","doi-asserted-by":"publisher","first-page":"970","DOI":"10.1109\/TBME.2022.3206596","volume":"70","author":"H Guo","year":"2023","unstructured":"Guo, H., Chao, H., Xu, S., Wood, B.J., Wang, J., Yan, P.: Ultrasound volume reconstruction from freehand scans without tracking. IEEE Trans. Biomed. Eng. 70(3), 970\u2013979 (2023). https:\/\/doi.org\/10.1109\/TBME.2022.3206596","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"1_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/978-3-030-59716-0_44","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2020","author":"H Guo","year":"2020","unstructured":"Guo, H., Xu, S., Wood, B., Yan, P.: Sensorless freehand 3D ultrasound reconstruction via deep contextual learning. In: Martel, A.L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M.A., Zhou, S.K., Racoceanu, D., Joskowicz, L. (eds.) MICCAI 2020. LNCS, vol. 12263, pp. 463\u2013472. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59716-0_44"},{"issue":"3","key":"1_CR5","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1007\/s11517-022-02723-9","volume":"61","author":"Z Hong","year":"2023","unstructured":"Hong, Z., et al.: Dual encoder network with transformer-CNN for multi-organ segmentation. Med. Biol. Eng. Comput. 61(3), 661\u2013671 (2023)","journal-title":"Med. Biol. Eng. Comput."},{"key":"1_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103202","volume":"96","author":"J Jiao","year":"2024","unstructured":"Jiao, J., et al.: USFM: a universal ultrasound foundation model generalized to tasks and organs towards label efficient image analysis. Med. Image Anal. 96, 103202 (2024)","journal-title":"Med. Image Anal."},{"key":"1_CR7","unstructured":"Li, J., Li, D., Savarese, S., Hoi, S.: BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models. In: International Conference on Machine Learning, pp. 19730\u201319742. PMLR (2023)"},{"key":"1_CR8","doi-asserted-by":"publisher","unstructured":"Li, Q., Saeed, S.U., Barratt, D.C., Clarkson, M.J., Vercauteren, T., Hu, Y.: Trackerless 3D freehand ultrasound reconstruction challenge. In: 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024). Zenodo (2024). https:\/\/doi.org\/10.5281\/zenodo.10991501","DOI":"10.5281\/zenodo.10991501"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Li, Q., et al.: Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames. In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), pp.\u00a01\u20135. IEEE (2023)","DOI":"10.1109\/ISBI53787.2023.10230773"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Li, Q., et al.: Nonrigid reconstruction of freehand ultrasound without a tracker. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 689\u2013699. Springer (2024)","DOI":"10.1007\/978-3-031-72083-3_64"},{"key":"1_CR11","unstructured":"Lu, J., Batra, D., Parikh, D., Lee, S.: ViLBERT: pretraining task-agnostic visiolinguistic representations for vision-and-language tasks. In: Advances in Neural Information Processing Systems, vol. 32 (2019)"},{"key":"1_CR12","doi-asserted-by":"publisher","unstructured":"Luo, M., et al.: Self context and shape prior for sensorless freehand 3D ultrasound reconstruction. In: Medical Image Computing and Computer Assisted Intervention MICCAI 2021: 24th International Conference, Strasbourg, France, September 27 October 1, 2021, Proceedings, Part VI (2021). https:\/\/doi.org\/10.1007\/978-3-030-87231-1_20","DOI":"10.1007\/978-3-030-87231-1_20"},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Luo, M., Yang, X., Wang, H., Du, L., Ni, D.: Deep motion network for freehand 3D ultrasound reconstruction. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 290\u2013299. Springer (2022)","DOI":"10.1007\/978-3-031-16440-8_28"},{"issue":"1","key":"1_CR14","doi-asserted-by":"publisher","first-page":"654","DOI":"10.1038\/s41467-024-44824-z","volume":"15","author":"J Ma","year":"2024","unstructured":"Ma, J., He, Y., Li, F., Han, L., You, C., Wang, B.: Segment anything in medical images. Nat. Commun. 15(1), 654 (2024)","journal-title":"Nat. Commun."},{"key":"1_CR15","doi-asserted-by":"crossref","unstructured":"Ning, G., Liang, H., Zhou, L., Zhang, X., Liao, H.: Spatial position estimation method for 3D ultrasound reconstruction based on hybrid transfomers. In: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), pp.\u00a01\u20135. IEEE (2022)","DOI":"10.1109\/ISBI52829.2022.9761499"},{"key":"1_CR16","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.media.2018.06.003","volume":"48","author":"R Prevost","year":"2018","unstructured":"Prevost, R., Salehi, M., Jagoda, S., Kumar, N., Sprung, J., Ladikos, A., Bauer, R., Zettinig, O., Wein, W.: 3d freehand ultrasound without external tracking using deep learning. Med. Image Anal. 48, 187\u2013202 (2018)","journal-title":"Med. Image Anal."},{"key":"1_CR17","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"1_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1007\/978-3-030-87193-2_2","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2021","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Liu, H., Hu, Q.: TransFuse: fusing transformers and CNNs for medical image segmentation. In: de Bruijne, M., et al. (eds.) MICCAI 2021. LNCS, vol. 12901, pp. 14\u201324. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-87193-2_2"},{"key":"1_CR19","unstructured":"Zhou, J., et al.: iBOT: image BERT pre-training with online tokenizer. arXiv preprint arXiv:2111.07832 (2021)"}],"container-title":["Lecture Notes in Computer Science","Simplifying Medical Ultrasound"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-06329-8_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T22:02:55Z","timestamp":1758924175000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-06329-8_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,27]]},"ISBN":["9783032063281","9783032063298"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-06329-8_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,27]]},"assertion":[{"value":"27 September 2025","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":"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":"23 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"asmus2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}