{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T19:18:10Z","timestamp":1771787890098,"version":"3.50.1"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031723834","type":"print"},{"value":"9783031723841","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-72384-1_59","type":"book-chapter","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T11:02:53Z","timestamp":1727866973000},"page":"629-639","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["FD-SOS: Vision-Language Open-Set Detectors for\u00a0Bone Fenestration and\u00a0Dehiscence Detection from\u00a0Intraoral Images"],"prefix":"10.1007","author":[{"given":"Marawan","family":"Elbatel","sequence":"first","affiliation":[]},{"given":"Keyuan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yanqi","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Xiaomeng","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,3]]},"reference":[{"key":"59_CR1","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/978-3-030-58452-8_13","volume-title":"Computer Vision - ECCV 2020","author":"N Carion","year":"2020","unstructured":"Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S.: End-to-end object detection with transformers. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.M. (eds.) Computer Vision \u2013 ECCV 2020. pp. 213\u2013229. Springer International Publishing, Cham (2020)"},{"key":"59_CR2","unstructured":"Chen, K., Wang, J., Pang, J., Cao, Y., Xiong, Y., Li, X., Sun, S., Feng, W., Liu, Z., Xu, J., Zhang, Z., Cheng, D., Zhu, C., Cheng, T., Zhao, Q., Li, B., Lu, X., Zhu, R., Wu, Y., Dai, J., Wang, J., Shi, J., Ouyang, W., Loy, C.C., Lin, D.: MMDetection: Open mmlab detection toolbox and benchmark. arXiv preprint arXiv:1906.07155 (2019)"},{"key":"59_CR3","doi-asserted-by":"crossref","unstructured":"Chen, S., Sun, P., Song, Y., Luo, P.: Diffusiondet: Diffusion model for object detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV). pp. 19830\u201319843 (October 2023)","DOI":"10.1109\/ICCV51070.2023.01816"},{"key":"59_CR4","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"59_CR5","unstructured":"Dwyer, B., Nelson, J., Solawetz, J., et\u00a0al.: Roboflow (Version 1.0) [Software]. https:\/\/roboflow.com (2024), computer vision"},{"key":"59_CR6","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/978-3-031-16852-9_10","volume-title":"Domain Adaptation and Representation Transfer","author":"M Elbatel","year":"2022","unstructured":"Elbatel, M., Bornberg, C., Kattel, M., Almar, E., Marrocco, C., Bria, A.: Seamless iterative semi-supervised correction of imperfect labels in microscopy images. In: Kamnitsas, K., Koch, L., Islam, M., Xu, Z., Cardoso, J., Dou, Q., Rieke, N., Tsaftaris, S. (eds.) Domain Adaptation and Representation Transfer. pp. 98\u2013107. Springer Nature Switzerland, Cham (2022)"},{"key":"59_CR7","unstructured":"Ge, Z., Liu, S., Wang, F., Li, Z., Sun, J.: Yolox: Exceeding yolo series in 2021. ArXiv abs\/2107.08430 (2021), https:\/\/api.semanticscholar.org\/CorpusID:236088010"},{"key":"59_CR8","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1007\/978-3-031-43987-2_38","volume-title":"Medical Image Computing and Computer Assisted Intervention - MICCAI 2023","author":"IE Hamamci","year":"2023","unstructured":"Hamamci, I.E., Er, S., Simsar, E., Sekuboyina, A., Gundogar, M., Stadlinger, B., Mehl, A., Menze, B.: Diffusion-based hierarchical multi-label object detection to\u00c2 analyze panoramic dental x-rays. In: Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T., Taylor, R. (eds.) Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023. pp. 389\u2013399. Springer Nature Switzerland, Cham (2023)"},{"key":"59_CR9","doi-asserted-by":"crossref","unstructured":"Kobayashi, T.: Two-way multi-label loss. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 7476\u20137485 (June 2023)","DOI":"10.1109\/CVPR52729.2023.00722"},{"key":"59_CR10","unstructured":"Li, J., Li, D., Savarese, S., Hoi, S.C.H.: Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models. In: ICML (2023)"},{"key":"59_CR11","unstructured":"Li, J., Li, D., Xiong, C., Hoi, S.: Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation. In: ICML (2022)"},{"key":"59_CR12","doi-asserted-by":"crossref","unstructured":"Li*, L.H., Zhang*, P., Zhang*, H., Yang, J., Li, C., Zhong, Y., Wang, L., Yuan, L., Zhang, L., Hwang, J.N., Chang, K.W., Gao, J.: Grounded language-image pre-training. In: CVPR (2022)","DOI":"10.1109\/CVPR52688.2022.01069"},{"key":"59_CR13","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Goyal, P., Girshick, R.B., He, K., Doll\u00e1r, P.: Focal loss for dense object detection. 2017 IEEE International Conference on Computer Vision (ICCV) pp. 2999\u20133007 (2017), https:\/\/api.semanticscholar.org\/CorpusID:47252984","DOI":"10.1109\/ICCV.2017.324"},{"key":"59_CR14","unstructured":"Liu, S., Zeng, Z., Ren, T., Li, F., Zhang, H., Yang, J., yue Li, C., Yang, J., Su, H., Zhu, J.J., Zhang, L.: Grounding dino: Marrying dino with grounded pre-training for open-set object detection. ArXiv abs\/2303.05499 (2023), https:\/\/api.semanticscholar.org\/CorpusID:257427307"},{"key":"59_CR15","doi-asserted-by":"publisher","unstructured":"Liu, T., Ye, Y., Liu, C., Chen, J., Liu, Y., Xing, W., Ta, D.: Key-point based automated diagnosis for alveolar dehiscence in mandibular incisors using convolutional neural network. Biomedical Signal Processing and Control 85, 105082 (2023). https:\/\/doi.org\/10.1016\/j.bspc.2023.105082, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1746809423005153","DOI":"10.1016\/j.bspc.2023.105082"},{"key":"59_CR16","doi-asserted-by":"crossref","unstructured":"Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., Guo, B.: Swin transformer: Hierarchical vision transformer using shifted windows. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV) (2021)","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"59_CR17","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems 28 (2015)"},{"key":"59_CR18","doi-asserted-by":"publisher","unstructured":"Sun, C.Y., Hong, X.J., Shi, S., Shen, Z.Y., Zhang, H.D., Zhou, L.X.: Cascade faster r-cnn detection for vulnerable plaques in oct images. IEEE Access 9, 24697\u201324704 (2021). https:\/\/doi.org\/10.1109\/ACCESS.2021.3056448","DOI":"10.1109\/ACCESS.2021.3056448"},{"key":"59_CR19","doi-asserted-by":"crossref","unstructured":"Suri, S., Rambhatla, S., Chellappa, R., Shrivastava, A.: Sparsedet: Improving sparsely annotated object detection with pseudo-positive mining. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV). pp. 6770\u20136781 (October 2023)","DOI":"10.1109\/ICCV51070.2023.00623"},{"key":"59_CR20","doi-asserted-by":"crossref","unstructured":"Tian, Z., Shen, C., Chen, H., He, T.: FCOS: A simple and strong anchor-free object detector (2021)","DOI":"10.1109\/TPAMI.2020.3032166"},{"key":"59_CR21","doi-asserted-by":"crossref","unstructured":"Yeh, J.K., Chen, C.H.: Estimated radiation risk of cancer from dental cone-beam computed tomography imaging in orthodontics patients. BMC Oral Health 18 (2018), https:\/\/api.semanticscholar.org\/CorpusID:51910004","DOI":"10.1186\/s12903-018-0592-5"},{"key":"59_CR22","doi-asserted-by":"publisher","unstructured":"Yoon, J., Hong, S., Choi, M.K.: Semi-supervised object detection with sparsely annotated dataset. In: 2021 IEEE International Conference on Image Processing (ICIP). pp. 719\u2013723 (2021). https:\/\/doi.org\/10.1109\/ICIP42928.2021.9506790","DOI":"10.1109\/ICIP42928.2021.9506790"},{"key":"59_CR23","unstructured":"Zhang, H., Li, F., Liu, S., Zhang, L., Su, H., Zhu, J., Ni, L., Shum, H.Y.: DINO: DETR with improved denoising anchor boxes for end-to-end object detection. In: The Eleventh International Conference on Learning Representations (2023), https:\/\/openreview.net\/forum?id=3mRwyG5one"},{"key":"59_CR24","unstructured":"Zhang, H., Zhang, P., Hu, X., Chen, Y.C., Li, L.H., Dai, X., Wang, L., Yuan, L., Hwang, J.N., Gao, J.: Glipv2: Unifying localization and vision-language understanding. arXiv preprint arXiv:2206.05836 (2022)"},{"key":"59_CR25","unstructured":"Zhu, X., Su, W., Lu, L., Li, B., Wang, X., Dai, J.: Deformable {detr}: Deformable transformers for end-to-end object detection. In: International Conference on Learning Representations (2021), https:\/\/openreview.net\/forum?id=gZ9hCDWe6ke"}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72384-1_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T11:21:05Z","timestamp":1727868065000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72384-1_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031723834","9783031723841"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72384-1_59","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"3 October 2024","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":"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":"7 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2024\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}