{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T11:14:40Z","timestamp":1790248480397,"version":"4.1.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032380814","type":"print"},{"value":"9783032380821","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T00:00:00Z","timestamp":1790294400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T00:00:00Z","timestamp":1790294400000},"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":[[2027]]},"DOI":"10.1007\/978-3-032-38082-1_45","type":"book-chapter","created":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T10:56:09Z","timestamp":1790247369000},"page":"476-486","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Refining 3D Medical Segmentation with\u00a0Verbal Instruction"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-2879-1448","authenticated-orcid":false,"given":"Kangxian","family":"Xie","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4455-7145","authenticated-orcid":false,"given":"Jiancheng","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7714-143X","authenticated-orcid":false,"given":"Nandor","family":"Pinter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7508-2012","authenticated-orcid":false,"given":"Chao","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5759-4896","authenticated-orcid":false,"given":"Behzad","family":"Bozorgtabar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5488-8514","authenticated-orcid":false,"given":"Mingchen","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,25]]},"reference":[{"key":"45_CR1","doi-asserted-by":"crossref","unstructured":"Achlioptas, P., Huang, I., Sung, M., Tulyakov, S., Guibas, L.: ShapeTalk: A language dataset and framework for 3d shape edits and deformations. In: Conference on Computer Vision and Pattern Recognition (CVPR) (2023)","DOI":"10.1109\/CVPR52729.2023.01220"},{"key":"45_CR2","unstructured":"Berzins, A., Ibing, M., Kobbelt, L.: Neural implicit shape editing using boundary sensitivity. In: The Eleventh International Conference on Learning Representations (2023). https:\/\/openreview.net\/forum?id=CMPIBjmhpo"},{"key":"45_CR3","doi-asserted-by":"crossref","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, volume 1 (long and short papers), pp. 4171\u20134186 (2019)","DOI":"10.18653\/v1\/N19-1423"},{"key":"45_CR4","doi-asserted-by":"crossref","unstructured":"Erko\u00e7, Z., et al.: Preditor3d: Fast and precise 3d shape editing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 640\u2013649 (2025)","DOI":"10.1109\/CVPR52734.2025.00068"},{"key":"45_CR5","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1007\/978-3-031-43901-8_40","volume-title":"Medical Image Computing and Computer Assisted Intervention - MICCAI 2023","author":"Y He","year":"2023","unstructured":"He, Y., Nath, V., Yang, D., Tang, Y., Myronenko, A., Xu, D.: Swinunetr-v2: Stronger swin transformers with stagewise convolutions for 3d medical image segmentation. In: Greenspan, H., et al. (eds.) Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, pp. 416\u2013426. Springer Nature Switzerland, Cham (2023)"},{"key":"45_CR6","doi-asserted-by":"publisher","unstructured":"Isensee, F., et al.: nnu-net revisited: A call for rigorous validation in 3d medical image segmentation. In: Linguraru, M.G., et al. (eds.) International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 488\u2013498. Springer, Cham (2024). https:\/\/doi.org\/10.1007\/978-3-031-72114-4_47","DOI":"10.1007\/978-3-031-72114-4_47"},{"key":"45_CR7","doi-asserted-by":"crossref","unstructured":"Jain, A., Mildenhall, B., Barron, J.T., Abbeel, P., Poole, B.: Zero-shot text-guided object generation with dream fields. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 867\u2013876 (2022)","DOI":"10.1109\/CVPR52688.2022.00094"},{"key":"45_CR8","doi-asserted-by":"crossref","unstructured":"Mescheder, L., Oechsle, M., Niemeyer, M., Nowozin, S., Geiger, A.: Occupancy networks: Learning 3d reconstruction in function space. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4460\u20134470 (2019)","DOI":"10.1109\/CVPR.2019.00459"},{"key":"45_CR9","doi-asserted-by":"crossref","unstructured":"Michel, O., Bar-On, R., Liu, R., Benaim, S., Hanocka, R.: Text2mesh: Text-driven neural stylization for meshes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13492\u201313502 (2022)","DOI":"10.1109\/CVPR52688.2022.01313"},{"key":"45_CR10","doi-asserted-by":"crossref","unstructured":"Musio, F., et al.: Circle of willis centerline graphs: A dataset and baseline algorithm. arXiv preprint arXiv:2510.13720 (2025)","DOI":"10.1016\/j.neuri.2026.100265"},{"key":"45_CR11","unstructured":"OpenAI: Openai api (2026). https:\/\/platform.openai.com, Accessed Feb 2026"},{"key":"45_CR12","doi-asserted-by":"crossref","unstructured":"Park, J.J., Florence, P., Straub, J., Newcombe, R., Lovegrove, S.: Deepsdf: Learning continuous signed distance functions for shape representation. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)","DOI":"10.1109\/CVPR.2019.00025"},{"key":"45_CR13","unstructured":"Qi, C.R., Su, H., Mo, K., Guibas, L.J.: Pointnet: Deep learning on point sets for 3d classification and segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 652\u2013660 (2017)"},{"key":"45_CR14","unstructured":"Radford, A., et al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp. 8748\u20138763. PMLR (2021)"},{"key":"45_CR15","unstructured":"Sitzmann, V., et al.: Implicit neural representations with periodic activation functions. In: Lin, H. (ed.) Advances in Neural Information Processing Systems, vol. 33, pp. 7462\u20137473. Curran Associates, Inc. (2020)"},{"key":"45_CR16","doi-asserted-by":"crossref","unstructured":"Slim, H., Elhoseiny, M.: Shapewalk: Compositional shape editing through language-guided chains. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 22574\u201322583 (2024)","DOI":"10.1109\/CVPR52733.2024.02130"},{"key":"45_CR17","unstructured":"Vaswani, A., et al.: Attention is all you need. Adv. Neural Inf. Process. Syst. 30 (2017)"},{"key":"45_CR18","doi-asserted-by":"publisher","unstructured":"Virtanen, P., et al.: SciPy 1.0: fundamental algorithms for scientific computing in python. Nat. Methods 17, 261\u2013272 (2020). https:\/\/doi.org\/10.1038\/s41592-019-0686-2","DOI":"10.1038\/s41592-019-0686-2"},{"key":"45_CR19","doi-asserted-by":"crossref","unstructured":"Wang, C., Chai, M., He, M., Chen, D., Liao, J.: Clip-nerf: Text-and-image driven manipulation of neural radiance fields. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3835\u20133844 (2022)","DOI":"10.1109\/CVPR52688.2022.00381"},{"key":"45_CR20","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1007\/978-3-031-16440-8_48","volume-title":"Medical Image Computing and Computer Assisted Intervention - MICCAI 2022","author":"J Yang","year":"2022","unstructured":"Yang, J., Shi, R., Wickramasinghe, U., Zhu, Q., Ni, B., Fua, P.: Neural annotation refinement: Development of a new 3d dataset for adrenal gland analysis. In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (eds.) Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, pp. 503\u2013513. Springer Nature Switzerland, Cham (2022)"},{"key":"45_CR21","unstructured":"Yang, K., et al.: Benchmarking the cow with the topcow challenge: Topology-aware anatomical segmentation of the circle of willis for cta and mra (2023)"},{"issue":"4","key":"45_CR22","first-page":"1","volume":"42","author":"B Zhang","year":"2023","unstructured":"Zhang, B., Tang, J., Niessner, M., Wonka, P.: 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models. ACM Trans. Graph. (TOG) 42(4), 1\u201316 (2023)","journal-title":"ACM Trans. Graph. (TOG)"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2026"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-38082-1_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T10:56:17Z","timestamp":1790247377000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-38082-1_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,25]]},"ISBN":["9783032380814","9783032380821"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-38082-1_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,25]]},"assertion":[{"value":"25 September 2026","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","label":"Disclosure of Interests","group":{"name":"EthicsHeading","label":"Ethics"}},{"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":"Strasbourg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2026\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}