{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T20:04:12Z","timestamp":1784405052481,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":19,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819235001","type":"print"},{"value":"9789819235018","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,19]],"date-time":"2026-07-19T00:00:00Z","timestamp":1784419200000},"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\/978-981-92-3501-8_35","type":"book-chapter","created":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T20:01:14Z","timestamp":1784404874000},"page":"417-429","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Contrastive Geometry-Aware Prototype Knowledge Distillation for Missing-Modality Brain Tumor Segmentation"],"prefix":"10.1007","author":[{"given":"Yahang","family":"Leng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuwei","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tong","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Langxuan","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongying","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pei","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,19]]},"reference":[{"key":"35_CR1","unstructured":"Bhattarai, P., et al.: Knowledge distillation through geometry-aware representational alignment. arXiv preprint. https:\/\/arxiv.org\/abs\/2509.25253 (2025)"},{"key":"35_CR2","unstructured":"Biswas, R., et al.: Advancing medical image segmentation through multi-task and multi-scale contrastive knowledge distillation. arXiv preprint. https:\/\/arxiv.org\/abs\/2406.03173 (2024)"},{"issue":"3","key":"35_CR3","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1109\/TMI.2021.3119385","volume":"41","author":"C Chen","year":"2022","unstructured":"Chen, C., Dou, Q., Jin, Y., Liu, Q., Heng, P.A.: Learning with privileged multimodal knowledge for unimodal segmentation. IEEE Trans. Med. Imaging. 41(3), 621\u2013632 (2022)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"35_CR4","volume-title":"MICCAI","author":"R Dorent","year":"2019","unstructured":"Dorent, R., Joutard, S., Modat, M., Ourselin, S., Vercauteren, T.: Hetero-modal variational encoder-decoder for joint modality completion and segmentation. In: MICCAI (2019)"},{"key":"35_CR5","unstructured":"He, S., et al.: Prototype contrastive consistency learning for semi-supervised medical image segmentation. arXiv preprint. https:\/\/arxiv.org\/abs\/2502.06650 (2025)"},{"key":"35_CR6","unstructured":"Hinton, G., Vinyals, O., Dean, J., et al.: Distilling the knowledge in a neural network. arXiv preprint. https:\/\/arxiv.org\/abs\/1503.02531 (2015)"},{"key":"35_CR7","volume-title":"MICCAI","author":"M Hu","year":"2020","unstructured":"Hu, M., et al.: Knowledge distillation from multi-modal to mono-modal segmentation networks. In: MICCAI (2020)"},{"issue":"2","key":"35_CR8","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","volume":"18","author":"F Isensee","year":"2020","unstructured":"Isensee, F., et al.: nnU-net: a self-configuring method for deep learning-based biomedical image segmentation. Nat. Methods. 18(2), 203\u2013211 (2020)","journal-title":"Nat. Methods"},{"key":"35_CR9","doi-asserted-by":"crossref","unstructured":"Li, S., et al.: SimMLM: a simple framework for multi-modal learning with missing modality. arXiv preprint. https:\/\/arxiv.org\/abs\/2507.19264 (2025)","DOI":"10.1109\/ICCV51701.2025.02231"},{"key":"35_CR10","volume-title":"Proceedings of a Medical Imaging Conference","author":"G Liang","year":"2025","unstructured":"Liang, G., et al.: Semantic-guided masked mutual learning for multi-modal brain tumor segmentation with arbitrary missing modalities. In: Proceedings of a Medical Imaging Conference (2025)"},{"issue":"4","key":"35_CR11","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.1109\/TMI.2020.3046444","volume":"40","author":"L Shen","year":"2021","unstructured":"Shen, L., et al.: Multi-domain image completion for random missing input data. IEEE Trans. Med. Imaging. 40(4), 1113\u20131122 (2021)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"35_CR12","doi-asserted-by":"crossref","unstructured":"Wang, H., et al.: Learnable cross-modal knowledge distillation for multi-modal learning with missing modality. arXiv preprint. https:\/\/arxiv.org\/abs\/2310.01035 (2023)","DOI":"10.1007\/978-3-031-43901-8_21"},{"key":"35_CR13","unstructured":"Wang, S., et al.: Prototype knowledge distillation for medical segmentation with missing modality. arXiv preprint. https:\/\/arxiv.org\/abs\/2303.09830 (2023)"},{"key":"35_CR14","doi-asserted-by":"crossref","unstructured":"Xie, D., et al.: CCSD: cross-modal compositional self-distillation for robust brain tumor segmentation with missing modalities. arXiv preprint. https:\/\/arxiv.org\/abs\/2511.14599 (2025)","DOI":"10.1016\/j.knosys.2026.116136"},{"key":"35_CR15","volume-title":"MICCAI","author":"Y Zhang","year":"2022","unstructured":"Zhang, Y., et al.: MMFormer: multimodal medical transformer for incomplete multimodal learning of brain tumor segmentation. In: MICCAI (2022)"},{"key":"35_CR16","volume-title":"ECAI","author":"Z Zhang","year":"2024","unstructured":"Zhang, Z., et al.: Anatomical consistency distillation and inconsistency synthesis for brain tumor segmentation with missing modalities. In: ECAI (2024)"},{"key":"35_CR17","unstructured":"Zhu, S., et al.: No modality left behind: adapting to missing modalities via knowledge distillation for brain tumor segmentation. arXiv preprint. https:\/\/arxiv.org\/abs\/2509.15017 (2025)"},{"key":"35_CR18","volume-title":"MICCAI","author":"S Zhu","year":"2025","unstructured":"Zhu, S., et al.: Bridging the gap in missing modalities: leveraging knowledge distillation and style matching for brain tumor segmentation. In: MICCAI (2025)"},{"key":"35_CR19","unstructured":"Zhu, S., et al.: Class incremental medical image segmentation via prototype-guided calibration and dual-aligned distillation. arXiv preprint. https:\/\/arxiv.org\/abs\/2511.07749 (2025)"}],"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\/978-981-92-3501-8_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T20:01:16Z","timestamp":1784404876000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3501-8_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,19]]},"ISBN":["9789819235001","9789819235018"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3501-8_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,19]]},"assertion":[{"value":"19 July 2026","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":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","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":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}