{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T08:09:27Z","timestamp":1771056567693,"version":"3.50.1"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031723773","type":"print"},{"value":"9783031723780","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\/978-3-031-72378-0_69","type":"book-chapter","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T07:02:53Z","timestamp":1727852573000},"page":"743-753","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-disease Detection in\u00a0Retinal Images Guided by\u00a0Disease Causal Estimation"],"prefix":"10.1007","author":[{"given":"Jianyang","family":"Xie","sequence":"first","affiliation":[]},{"given":"Xiuju","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Yitian","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Yanda","family":"Meng","sequence":"additional","affiliation":[]},{"given":"He","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Anh","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Xiaoxin","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yalin","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,3]]},"reference":[{"key":"69_CR1","first-page":"8226","volume":"35","author":"K Bello","year":"2022","unstructured":"Bello, K., Aragam, B., Ravikumar, P.: Dagma: learning dags via m-matrices and a log-determinant acyclicity characterization. Adv. Neural. Inf. Process. Syst. 35, 8226\u20138239 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"69_CR2","doi-asserted-by":"crossref","unstructured":"Chen, R., et al.: Dissecting causal associations of type 2 diabetes with 111 types of ocular conditions: a mendelian randomization study. Front. Endocrinol. 14 (2023)","DOI":"10.3389\/fendo.2023.1307468"},{"key":"69_CR3","doi-asserted-by":"crossref","unstructured":"Chen, Z.M., Wei, X.S., Wang, P., Guo, Y.: Multi-label image recognition with graph convolutional networks. In: Proceedings of the IEEE\/CVF Conference On Computer Vision and Pattern Recognition, pp. 5177\u20135186 (2019)","DOI":"10.1109\/CVPR.2019.00532"},{"key":"69_CR4","unstructured":"Contributors, M.: Openmmlab\u2019s pre-training toolbox and benchmark. https:\/\/github.com\/open-mmlab\/mmpretrain (2023)"},{"issue":"9","key":"69_CR5","doi-asserted-by":"publisher","first-page":"2211","DOI":"10.1109\/TMI.2019.2903434","volume":"38","author":"A Diaz-Pinto","year":"2019","unstructured":"Diaz-Pinto, A., Colomer, A., Naranjo, V., Morales, S., Xu, Y., Frangi, A.F.: Retinal image synthesis and semi-supervised learning for glaucoma assessment. IEEE Trans. Med. Imaging 38(9), 2211\u20132218 (2019)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"69_CR6","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1109\/TMI.2020.3023463","volume":"40","author":"A He","year":"2021","unstructured":"He, A., Li, T., Li, N., Wang, K., Fu, H.: Cabnet: category attention block for imbalanced diabetic retinopathy grading. IEEE Trans. Med. Imaging 40(1), 143\u2013153 (2021). https:\/\/doi.org\/10.1109\/TMI.2020.3023463","journal-title":"IEEE Trans. Med. Imaging"},{"key":"69_CR7","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference On Computer Vision And Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"69_CR8","doi-asserted-by":"crossref","unstructured":"Ju, L., et al.: Hierarchical knowledge guided learning for real-world retinal disease recognition. IEEE Transactions on Medical Imaging (2023)","DOI":"10.1109\/TMI.2023.3302473"},{"key":"69_CR9","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/978-3-030-71058-3_11","volume-title":"Benchmarking, Measuring, and Optimizing: Third BenchCouncil International Symposium, Bench 2020, Virtual Event, November 15\u201316, 2020, Revised Selected Papers","author":"N Li","year":"2021","unstructured":"Li, N., Li, T., Hu, C., Wang, K., Kang, H.: A benchmark of ocular disease intelligent recognition: one shot for\u00a0multi-disease detection. In: Wolf, F., Gao, W. (eds.) Benchmarking, Measuring, and Optimizing: Third BenchCouncil International Symposium, Bench 2020, Virtual Event, November 15\u201316, 2020, Revised Selected Papers, pp. 177\u2013193. Springer International Publishing, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-71058-3_11"},{"issue":"12","key":"69_CR10","doi-asserted-by":"publisher","first-page":"4023","DOI":"10.1109\/TMI.2020.3008871","volume":"39","author":"X Li","year":"2020","unstructured":"Li, X., Jia, M., Islam, M.T., Yu, L., Xing, L.: Self-supervised feature learning via exploiting multi-modal data for retinal disease diagnosis. IEEE Trans. Med. Imaging 39(12), 4023\u20134033 (2020)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"69_CR11","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1109\/LSP.2021.3057548","volume":"28","author":"J Lin","year":"2021","unstructured":"Lin, J., Cai, Q., Lin, M.: Multi-label classification of fundus images with graph convolutional network and self-supervised learning. IEEE Signal Process. Lett. 28, 454\u2013458 (2021). https:\/\/doi.org\/10.1109\/LSP.2021.3057548","journal-title":"IEEE Signal Process. Lett."},{"key":"69_CR12","unstructured":"Liu, S., Zhang, L., Yang, X., Su, H., Zhu, J.: Query2label: a simple transformer way to multi-label classification. arXiv preprint arXiv:2107.10834 (2021)"},{"issue":"5","key":"69_CR13","doi-asserted-by":"publisher","first-page":"957","DOI":"10.31577\/cai_2021_5_957","volume":"40","author":"S Maqsood","year":"2021","unstructured":"Maqsood, S., Dama\u0161evi\u010dius, R., Shah, F.M., Maskeliunas, R.: Detection of macula and recognition of aged-related macular degeneration in retinal fundus images. Comput. Inform. 40(5), 957\u2013987 (2021)","journal-title":"Comput. Inform."},{"key":"69_CR14","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/978-3-031-43898-1_3","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8\u201312, 2023, Proceedings, Part III","author":"W Nie","year":"2023","unstructured":"Nie, W., Zhang, C., Song, D., Bai, Y., Xie, K., Liu, A.-A.: Chest X-ray image classification: a causal perspective. 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: 26th International Conference, Vancouver, BC, Canada, October 8\u201312, 2023, Proceedings, Part III, pp. 25\u201335. Springer Nature Switzerland, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-43898-1_3"},{"key":"69_CR15","doi-asserted-by":"crossref","unstructured":"Ridnik, T., et al.: Asymmetric loss for multi-label classification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 82\u201391 (2021)","DOI":"10.1109\/ICCV48922.2021.00015"},{"key":"69_CR16","doi-asserted-by":"crossref","unstructured":"Ridnik, T., Sharir, G., Ben-Cohen, A., Ben-Baruch, E., Noy, A.: Ml-decoder: scalable and versatile classification head. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 32\u201341 (2023)","DOI":"10.1109\/WACV56688.2023.00012"},{"key":"69_CR17","doi-asserted-by":"crossref","unstructured":"Rodr\u00edguez, M.A., AlMarzouqi, H., Liatsis, P.: Multi-label retinal disease classification using transformers. IEEE J. Biomed. Health Inform. (2022)","DOI":"10.1109\/JBHI.2022.3214086"},{"key":"69_CR18","doi-asserted-by":"crossref","unstructured":"Smith, L.N., Topin, N.: Super-convergence: very fast training of neural networks using large learning rates. In: Artificial Intelligence and Machine Learning for Multi-domain Operations Applications, vol. 11006, pp. 369\u2013386. SPIE (2019)","DOI":"10.1117\/12.2520589"},{"key":"69_CR19","unstructured":"Tan, Y., Sun, D., Shi, Y., Gao, L., Gao, Q., Lu, Y.: Bi-directional mapping for multi-label learning of label-specific features. In: Applied Intelligence, pp. 1\u201320 (2022)"},{"key":"69_CR20","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1016\/j.neunet.2023.08.052","volume":"167","author":"Y Tian","year":"2023","unstructured":"Tian, Y., Bai, K., Yu, X., Zhu, S.: Causal multi-label learning for image classification. Neural Netw. 167, 626\u2013637 (2023)","journal-title":"Neural Netw."},{"key":"69_CR21","doi-asserted-by":"crossref","unstructured":"Xie, J., et\u00a0al.: Deep segmentation of octa for evaluation and association of changes of retinal microvasculature with Alzheimer\u2019s disease and mild cognitive impairment. British J. Ophthalmol. (2023)","DOI":"10.1136\/bjo-2022-321399"},{"key":"69_CR22","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1007\/978-3-030-58589-1_39","volume-title":"Computer Vision \u2013 ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXI","author":"J Ye","year":"2020","unstructured":"Ye, J., He, J., Peng, X., Wu, W., Qiao, Yu.: Attention-driven dynamic graph convolutional network for multi-label image recognition. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) Computer Vision \u2013 ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXI, pp. 649\u2013665. Springer International Publishing, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58589-1_39"},{"key":"69_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102772","volume":"86","author":"Y Zhang","year":"2023","unstructured":"Zhang, Y., Luo, L., Dou, Q., Heng, P.A.: Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification. Med. Image Anal. 86, 102772 (2023)","journal-title":"Med. Image Anal."},{"key":"69_CR24","unstructured":"Zheng, X., Aragam, B., Ravikumar, P.K., Xing, E.P.: Dags with no tears: continuous optimization for structure learning. In: Advances in Neural Information Processing Systems, vol. 31 (2018)"},{"issue":"3","key":"69_CR25","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1109\/TMI.2020.3037771","volume":"40","author":"Y Zhou","year":"2021","unstructured":"Zhou, Y., Wang, B., Huang, L., Cui, S., Shao, L.: A benchmark for studying diabetic retinopathy: segmentation, grading, and transferability. IEEE Trans. Med. Imaging 40(3), 818\u2013828 (2021). https:\/\/doi.org\/10.1109\/TMI.2020.3037771","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"69_CR26","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1109\/TMI.2019.2928229","volume":"39","author":"Y Zhou","year":"2019","unstructured":"Zhou, Y., Li, G., Li, H.: Automatic cataract classification using deep neural network with discrete state transition. IEEE Trans. Med. Imaging 39(2), 436\u2013446 (2019)","journal-title":"IEEE Trans. Med. Imaging"}],"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\/978-3-031-72378-0_69","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T07:30:45Z","timestamp":1771054245000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72378-0_69"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031723773","9783031723780"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72378-0_69","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"}}]}}