{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T06:59:13Z","timestamp":1758351553766,"version":"3.44.0"},"publisher-location":"Cham","reference-count":21,"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_54","type":"book-chapter","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:15:58Z","timestamp":1758269758000},"page":"562-571","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Structure-Aware Cross-Modal Prompt Tuning for\u00a0Autonomous Bronchoscopic Navigation"],"prefix":"10.1007","author":[{"given":"Hao","family":"Fang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuo","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianwei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenkang","family":"Fan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiongbiao","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,20]]},"reference":[{"key":"54_CR1","doi-asserted-by":"publisher","unstructured":"Chen, C.F.R., Fan, Q., Panda, R.: Crossvit: cross-attention multi-scale vision transformer for image classification. In: 2021 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 347\u2013356 (2021). https:\/\/doi.org\/10.1109\/ICCV48922.2021.00041","DOI":"10.1109\/ICCV48922.2021.00041"},{"key":"54_CR2","doi-asserted-by":"crossref","unstructured":"Fried, I., Hoelscher, J., Akulian, J.A., Pizer, S., Alterovitz, R.: Landmark based bronchoscope localization for needle insertion under respiratory deformation. In: 2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6593\u20136600 (2023)","DOI":"10.1109\/IROS55552.2023.10342115"},{"issue":"2","key":"54_CR3","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1007\/s11263-023-01891-x","volume":"132","author":"P Gao","year":"2024","unstructured":"Gao, P., et al.: Clip-adapter: Better vision-language models with feature adapters. Int. J. Comput. Vision 132(2), 581\u2013595 (2024)","journal-title":"Int. J. Comput. Vision"},{"key":"54_CR4","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1007\/978-3-031-19827-4_41","volume-title":"Computer Vision - ECCV 2022","author":"M Jia","year":"2022","unstructured":"Jia, M., et al.: Visual prompt tuning. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) Computer Vision - ECCV 2022, pp. 709\u2013727. Springer Nature Switzerland, Cham (2022)"},{"key":"54_CR5","doi-asserted-by":"crossref","unstructured":"Khattak, M.U., Rasheed, H., Maaz, M., Khan, S., Khan, F.S.: Maple: Multi-modal prompt learning. In: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 19113\u201319122 (2023)","DOI":"10.1109\/CVPR52729.2023.01832"},{"key":"54_CR6","doi-asserted-by":"crossref","unstructured":"Khattak, M.U., Wasim, S.T., Naseer, M., Khan, S., Yang, M.H., Khan, F.S.: Self-regulating prompts: foundational model adaptation without forgetting. In: 2023 IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 15144\u201315154 (2023)","DOI":"10.1109\/ICCV51070.2023.01394"},{"key":"54_CR7","doi-asserted-by":"publisher","unstructured":"Li, J., et al.: Fcc: Feature clusters compression for long-tailed visual recognition. In: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 24080\u201324089 (2023). https:\/\/doi.org\/10.1109\/CVPR52729.2023.02306","DOI":"10.1109\/CVPR52729.2023.02306"},{"key":"54_CR8","unstructured":"Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. In: International Conference on Learning Representations (2019)"},{"issue":"1","key":"54_CR9","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1186\/s12931-024-03032-5","volume":"25","author":"T Maetani","year":"2024","unstructured":"Maetani, T., et al.: Computed tomography morphological assessments of central airways in interstitial lung abnormalities and idiopathic pulmonary fibrosis. Respiratory Res. 25(1), 404 (2024)","journal-title":"Respiratory Res."},{"key":"54_CR10","unstructured":"Park, N., Kim, W., Heo, B., Kim, T., Yun, S.: What do self-supervised vision transformers learn? In: The Eleventh International Conference on Learning Representations (2023)"},{"key":"54_CR11","unstructured":"Radford, A., et al.: Learning transferable visual models from natural language supervision. In: Meila, M., Zhang, T. (eds.) Proceedings of the 38th International Conference on Machine Learning. In: Proceedings of Machine Learning Research, vol.\u00a0139, pp. 8748\u20138763. PMLR (2021)"},{"key":"54_CR12","doi-asserted-by":"crossref","unstructured":"Shao, S., Bai, Y., Wang, Y., Liu, B., Liu, B.: Collaborative consortium of foundation models for open-world few-shot learning. In: Proceedings of the AAAI Conference on Artificial Intelligence 38(5), 4740\u20134747 (2024)","DOI":"10.1609\/aaai.v38i5.28275"},{"key":"54_CR13","doi-asserted-by":"publisher","unstructured":"Shen, M., Giannarou, S., Shah, P.L., Yang, G.-Z.: BRANCH:Bifurcation Recognition for Airway Navigation based on struCtural cHaracteristics. In: Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D.L., Duchesne, S. (eds.) MICCAI 2017. LNCS, vol. 10434, pp. 182\u2013189. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-66185-8_21","DOI":"10.1007\/978-3-319-66185-8_21"},{"key":"54_CR14","doi-asserted-by":"publisher","unstructured":"Wang, H., et al.: Sam-clip: merging vision foundation models towards semantic and spatial understanding. In: 2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 3635\u20133647 (2024). https:\/\/doi.org\/10.1109\/CVPRW63382.2024.00367","DOI":"10.1109\/CVPRW63382.2024.00367"},{"key":"54_CR15","doi-asserted-by":"crossref","unstructured":"Wu, Y., et al.: Vertfound: synergizing semantic and spatial understanding for fine-grained vertebrae classification via foundation models. In: Linguraru, M.G., et al. (eds.) Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, pp. 763\u2013772. Springer Nature Switzerland, Cham (2024)","DOI":"10.1007\/978-3-031-72390-2_71"},{"key":"54_CR16","doi-asserted-by":"publisher","unstructured":"Xiong, Y., et al.: Efficientsam: leveraged masked image pretraining for efficient segment anything. In: 2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16111\u201316121 (2024). https:\/\/doi.org\/10.1109\/CVPR52733.2024.01525","DOI":"10.1109\/CVPR52733.2024.01525"},{"key":"54_CR17","doi-asserted-by":"crossref","unstructured":"Yang, Y., Fu, H., Aviles-Rivero, A.I., Xing, Z., Zhu, L.: Diffmic-v2: Medical image classification via improved diffusion network. IEEE Trans. Med. Imaging, 1\u20131 (2025)","DOI":"10.1109\/TMI.2025.3530399"},{"key":"54_CR18","doi-asserted-by":"crossref","unstructured":"Yu, X., Wu, Z., Zhang, L., Zhang, J., Lyu, Y., Zhu, D.: Cp-clip: core-periphery feature alignment clip for zero-shot medical image analysis. In: Linguraru, M.G., et al. (eds.) Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, pp. 88\u201397. Springer Nature Switzerland, Cham (2024)","DOI":"10.1007\/978-3-031-72384-1_9"},{"key":"54_CR19","doi-asserted-by":"crossref","unstructured":"Zhang, J., Wu, S., Gao, L., Shen, H.T., Song, J.: Dept: decoupled prompt tuning. In: 2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12924\u201312933 (2024)","DOI":"10.1109\/CVPR52733.2024.01228"},{"issue":"9","key":"54_CR20","doi-asserted-by":"publisher","first-page":"2337","DOI":"10.1007\/s11263-022-01653-1","volume":"130","author":"K Zhou","year":"2022","unstructured":"Zhou, K., Yang, J., Loy, C.C., Liu, Z.: Learning to prompt for vision-language models. Int. J. Comput. Vision 130(9), 2337\u20132348 (2022)","journal-title":"Int. J. Comput. Vision"},{"issue":"3","key":"54_CR21","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1109\/TMRB.2022.3194320","volume":"4","author":"Y Zou","year":"2022","unstructured":"Zou, Y., Guan, B., Zhao, J., Wang, S., Sun, X., Li, J.: Robotic-assisted automatic orientation and insertion for bronchoscopy based on image guidance. IEEE Trans. Med. Robot. Bionics 4(3), 588\u2013598 (2022)","journal-title":"IEEE Trans. Med. Robot. Bionics"}],"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_54","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:16:08Z","timestamp":1758269768000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-05141-7_54"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,20]]},"ISBN":["9783032051400","9783032051417"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-05141-7_54","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 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":"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"}}]}}