{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T04:06:01Z","timestamp":1779422761362,"version":"3.53.1"},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819500352","type":"print"},{"value":"9789819500369","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-95-0036-9_24","type":"book-chapter","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T08:37:30Z","timestamp":1753259850000},"page":"282-293","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Genap: Generalizing Across the Augmentation Gap in Medical Image Segmentation Using Single-Source Domain"],"prefix":"10.1007","author":[{"given":"Jianyu","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haojin","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zenan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yijie","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,24]]},"reference":[{"key":"24_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109667","volume":"141","author":"W Zhang","year":"2023","unstructured":"Zhang, W., Ding, X., Liu, Y., Qiao, B.: Slide deep reinforcement learning networks: application for left ventricle segmentation. Pattern Recogn. 141, 109667 (2023)","journal-title":"Pattern Recogn."},{"key":"24_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.106638","volume":"96","author":"W Zhang","year":"2024","unstructured":"Zhang, W., Li, S., Wang, Y., Zhang, W.: EEMSNet: eagle-eye multi-scale supervised network for cardiac segmentation. Biomed. Signal Process. Control 96, 106638 (2024)","journal-title":"Biomed. Signal Process. Control"},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Xu, Q., Zhang, R., Zhang, Y., Wang, Y., Tian, Q.: A fourier-based framework for domain generalization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 14383\u201314392 (2021)","DOI":"10.1109\/CVPR46437.2021.01415"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Guo, J., Qi, L., Shi, Y.: DomainDrop: suppressing domain-sensitive channels for domain generalization. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 19114\u201319124 (2023)","DOI":"10.1109\/ICCV51070.2023.01751"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Wang, Z., Luo, Y., Qiu, R., Huang, Z., Baktashmotlagh, M.: Learning to diversify for single domain generalization. In:\u00a0Proceedings of the IEEE\/CVF International Conference on Computer Vision,\u00a0pp. 834\u2013843 (2021)","DOI":"10.1109\/ICCV48922.2021.00087"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Ouyang, C., et al.: Causality inspired single-source domain generalization for medical image segmentation. IEEE Trans. Med. Imag. 42, 1095\u20131106 (2022)","DOI":"10.1109\/TMI.2022.3224067"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Vaish, P., Wang, S., Strisciuglio, N.: Fourier-basis functions to bridge augmentation gap: rethinking frequency augmentation in image classification. In:\u00a0Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 17763\u201317772 (2024)","DOI":"10.1109\/CVPR52733.2024.01682"},{"key":"24_CR8","doi-asserted-by":"publisher","unstructured":"Li, H., et al.: Frequency-mixed single source domain generalization for medical image segmentation. In: Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T., Taylor, R. (eds.) Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2023, pp. 127\u2013136. Springer Nature Switzerland, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-43987-2_13","DOI":"10.1007\/978-3-031-43987-2_13"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Su, Z., Yao, K., Yang, X., Huang, K., Wang, Q., Sun, J.: Rethinking data augmentation for single-source domain generalization in medical image segmentation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, pp. 2366\u20132374 (2023)","DOI":"10.1609\/aaai.v37i2.25332"},{"key":"24_CR10","doi-asserted-by":"crossref","unstructured":"Li, H., Li, H., Chen, J., Zhong, R., Niu, K., Fu, H., Liu, J.: AIF-SFDA: autonomous information filter-driven source-free domain adaptation for medical image segmentation. In: 39th AAAI Conference on Artificial Intelligence. AAAI (2025)","DOI":"10.1609\/aaai.v39i5.32498"},{"key":"24_CR11","unstructured":"Yin, D., Gontijo Lopes, R., Shlens, J., Cubuk, E.D., Gilmer, J.: A fourier perspective on model robustness in computer vision. In: Wallach, H., Larochelle, H., Beygelzimer, A., d\u2019Alch\u2019e-Buc, F., Fox, E., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol. 32. Curran Associates, Inc. (2019)"},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Lin, S., et al.: Deep frequency filtering for domain generalization. In:\u00a0Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11797\u201311807 (2023)","DOI":"10.1109\/CVPR52729.2023.01135"},{"key":"24_CR13","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1109\/TMI.2004.825627","volume":"23","author":"J Staal","year":"2004","unstructured":"Staal, J., Abr\u00e0moff, M.D., Niemeijer, M., Viergever, M.A., Ginneken, B.V.: Ridge-based vessel segmentation in color images of the retina. IEEE Trans. Med. Imaging 23, 501\u2013509 (2004)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"22","key":"24_CR14","doi-asserted-by":"publisher","first-page":"2402","DOI":"10.1001\/jama.2016.17216","volume":"316","author":"V Gulshan","year":"2016","unstructured":"Gulshan, V., et al.: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA 316(22), 2402\u20132410 (2016)","journal-title":"JAMA"},{"key":"24_CR15","doi-asserted-by":"publisher","first-page":"1933","DOI":"10.1161\/ATVBAHA.111.225219","volume":"31","author":"CG Owen","year":"2011","unstructured":"Owen, C.G., et al.: Retinal arteriolar tortuosity and cardiovascular risk factors in a multi ethnic population study of 10-year-old children; the child heart and health study in England (CHASE). Arterioscler. Thromb. Vasc. Biol. 31, 1933\u20131938 (2011)","journal-title":"Arterioscler. Thromb. Vasc. Biol."},{"key":"24_CR16","unstructured":"Akbar, S., Hassan, T., Akram, M.U., Yasin, U.U., Basit, I.: AVRDB: annotated dataset for vessel segmentation and calculation of arteriovenous ratio. In:\u00a0Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), pp. 129\u2013134 (2017)"},{"key":"24_CR17","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1016\/j.dib.2018.12.073","volume":"22","author":"Y He","year":"2018","unstructured":"He, Y., Carass, A., Solomon, S.D., Saidha, S., Calabresi, P.A., Prince, J.L.: Retinal layer parcellation of optical coherence tomography images: data resource for multiple sclerosis and healthy controls. Data Brief 22, 601 (2018)","journal-title":"Data Brief"},{"issue":"4","key":"24_CR18","doi-asserted-by":"publisher","first-page":"1172","DOI":"10.1364\/BOE.6.001172","volume":"6","author":"SJ Chiu","year":"2015","unstructured":"Chiu, S.J., Allingham, M.J., Mettu, P.S., Cousins, S.W., Izatt, J.A., Farsiu, S.: Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema. Biomed. Opt. Express 6(4), 1172\u20131194 (2015)","journal-title":"Biomed. Opt. Express"},{"key":"24_CR19","doi-asserted-by":"crossref","unstructured":"Fang, H., Li, F., Fu, H., Wu, J., Zhang, X., Xu, Y.: Dataset and evaluation algorithm design for goals challenge. In:\u00a0International Workshop on Ophthalmic Medical Image Analysis,\u00a0pp. 135\u2013142 (2022)","DOI":"10.1007\/978-3-031-16525-2_14"},{"key":"24_CR20","unstructured":"Zhou, K., Yang, Y., Qiao, Y., Xiang, T.: Domain generalization with MixStyle.\u00a0arXiv preprint arXiv:2104.02008 (2021)"},{"key":"24_CR21","doi-asserted-by":"crossref","unstructured":"Peng, D., Lei, Y., Hayat, M., Guo, Y., Li, W.: Semantic-aware domain generalized segmentation. In:\u00a0Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2594\u20132605 (2022)","DOI":"10.1109\/CVPR52688.2022.00262"},{"key":"24_CR22","unstructured":"Liu, S., Jin, X., Yang, X., Ye, J., Wang, X.: StyDeSty: min-max stylization and destylization for single domain generalization. In:\u00a0International Conference on Machine Learning, pp. 31293\u201331311 (2024)"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-0036-9_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T03:15:40Z","timestamp":1779419740000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-0036-9_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819500352","9789819500369"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-0036-9_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"24 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ningbo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"26 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/icg\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}