{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T08:12:11Z","timestamp":1769847131751,"version":"3.49.0"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031720857","type":"print"},{"value":"9783031720864","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\/978-3-031-72086-4_3","type":"book-chapter","created":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T20:34:45Z","timestamp":1727987685000},"page":"25-35","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A Multi-information Dual-Layer Cross-Attention Model for\u00a0Esophageal Fistula Prognosis"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1718-8711","authenticated-orcid":false,"given":"Jianqiao","family":"Zhang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6842-1667","authenticated-orcid":false,"given":"Hao","family":"Xiong","sequence":"additional","affiliation":[]},{"given":"Qiangguo","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Tian","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Jiquan","family":"Ma","sequence":"additional","affiliation":[]},{"given":"Ping","family":"Xuan","sequence":"additional","affiliation":[]},{"given":"Peng","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Zhiyuan","family":"Ning","sequence":"additional","affiliation":[]},{"given":"Zhiyu","family":"Ning","sequence":"additional","affiliation":[]},{"given":"Changyang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Linlin","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8224-4698","authenticated-orcid":false,"given":"Hui","family":"Cui","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,4]]},"reference":[{"issue":"1","key":"3_CR1","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1111\/nyas.13677","volume":"1434","author":"AS Borggreve","year":"2018","unstructured":"Borggreve, A.S., Kingma, B.F., Domrachev, S.A., Koshkin, M.A., Ruurda, J.P., van Hillegersberg, R., Takeda, F.R., Goense, L.: Surgical treatment of esophageal cancer in the era of multimodality management. Annals of the New York Academy of Sciences 1434(1), 192\u2013209 (2018)","journal-title":"Annals of the New York Academy of Sciences"},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Chauhan, G., Liao, R., Wells, W., Andreas, J., Wang, X., Berkowitz, S., Horng, S., Szolovits, P., Golland, P.: Joint modeling of chest radiographs and radiology reports for pulmonary edema assessment. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2020: 23rd International Conference, Lima, Peru, October 4\u20138, 2020, Proceedings, Part II 23. pp. 529\u2013539. Springer (2020)","DOI":"10.1007\/978-3-030-59713-9_51"},{"key":"3_CR3","unstructured":"Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: International conference on machine learning. pp. 1597\u20131607. PMLR (2020)"},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Chollet, F.: Xception: Deep learning with depthwise separable convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1251\u20131258 (2017)","DOI":"10.1109\/CVPR.2017.195"},{"key":"3_CR5","doi-asserted-by":"crossref","unstructured":"Cui, H., Xuan, P., Jin, Q., Ding, M., Li, B., Zou, B., Xu, Y., Fan, B., Li, W., Yu, J., et\u00a0al.: Co-graph attention reasoning based imaging and clinical features integration for lymph node metastasis prediction. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2021: 24th International Conference, Strasbourg, France, September 27\u2013October 1, 2021, Proceedings, Part V 24. pp. 657\u2013666. Springer (2021)","DOI":"10.1007\/978-3-030-87240-3_63"},{"key":"3_CR6","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et\u00a0al.: An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)"},{"key":"3_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104961","volume":"139","author":"N Faruqui","year":"2021","unstructured":"Faruqui, N., Yousuf, M.A., Whaiduzzaman, M., Azad, A., Barros, A., Moni, M.A.: Lungnet: A hybrid deep-cnn model for lung cancer diagnosis using ct and wearable sensor-based medical iot data. Computers in Biology and Medicine 139, 104961 (2021)","journal-title":"Computers in Biology and Medicine"},{"key":"3_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.106576","volume":"154","author":"X Fu","year":"2023","unstructured":"Fu, X., Patrick, E., Yang, J.Y., Feng, D.D., Kim, J.: Deep multimodal graph-based network for survival prediction from highly multiplexed images and patient variables. Computers in Biology and Medicine 154, 106576 (2023)","journal-title":"Computers in Biology and Medicine"},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Guan, Y., Cui, H., Xu, Y., Jin, Q., Feng, T., Tu, H., Xuan, P., Li, W., Wang, L., Duh, B.L.: Predicting esophageal fistula risks using a multimodal self-attention network. In: Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2021: 24th International Conference, Strasbourg, France, September 27\u2013October 1, 2021, Proceedings, Part V 24. pp. 721\u2013730. Springer (2021)","DOI":"10.1007\/978-3-030-87240-3_69"},{"issue":"4","key":"3_CR10","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1111\/ajco.12995","volume":"14","author":"H Hirano","year":"2018","unstructured":"Hirano, H., Boku, N.: The current status of multimodality treatment for unresectable locally advanced esophageal squamous cell carcinoma. Asia-Pacific Journal of Clinical Oncology 14(4), 291\u2013299 (2018)","journal-title":"Asia-Pacific Journal of Clinical Oncology"},{"key":"3_CR11","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2020.605132","volume":"8","author":"Q Jin","year":"2020","unstructured":"Jin, Q., Meng, Z., Sun, C., Cui, H., Su, R.: Ra-unet: A hybrid deep attention-aware network to extract liver and tumor in ct scans. Frontiers in Bioengineering and Biotechnology 8, 605132 (2020)","journal-title":"Frontiers in Bioengineering and Biotechnology"},{"key":"3_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.106715","volume":"156","author":"K Li","year":"2023","unstructured":"Li, K., Chen, C., Cao, W., Wang, H., Han, S., Wang, R., Ye, Z., Wu, Z., Wang, W., Cai, L., et\u00a0al.: Deaf: A multimodal deep learning framework for disease prediction. Computers in Biology and Medicine 156, 106715 (2023)","journal-title":"Computers in Biology and Medicine"},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Mahesh, B.: Machine learning algorithms-a review. International Journal of Science and Research (IJSR).[Internet] 9(1), 381\u2013386 (2020)","DOI":"10.21275\/ART20203995"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Shaw, P., Uszkoreit, J., Vaswani, A.: Self-attention with relative position representations. arXiv preprint arXiv:1803.02155 (2018)","DOI":"10.18653\/v1\/N18-2074"},{"issue":"1","key":"3_CR15","first-page":"22","volume":"95","author":"MW Short","year":"2017","unstructured":"Short, M.W., Burgers, K.G., Fry, V.T.: Esophageal cancer. American family physician 95(1), 22\u201328 (2017)","journal-title":"American family physician"},{"issue":"20","key":"3_CR16","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000003699","volume":"95","author":"T Tsushima","year":"2016","unstructured":"Tsushima, T., Mizusawa, J., Sudo, K., Honma, Y., Kato, K., Igaki, H., Tsubosa, Y., Shinoda, M., Nakamura, K., Fukuda, H., et\u00a0al.: Risk factors for esophageal fistula associated with chemoradiotherapy for locally advanced unresectable esophageal cancer: a supplementary analysis of jcog0303. Medicine 95(20), e3699 (2016)","journal-title":"Medicine"},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"of\u00a0Uveitis Nomenclature (SUN) Working\u00a0Group, S., et\u00a0al.: Standardization of uveitis nomenclature for reporting clinical data. results of the first international workshop. American journal of ophthalmology 140(3), 509\u2013516 (2005)","DOI":"10.1016\/j.ajo.2005.03.057"},{"key":"3_CR18","doi-asserted-by":"crossref","unstructured":"Vale-Silva, L.A., Rohr, K.: Multisurv: Long-term cancer survival prediction using multimodal deep learning. MedRxiv pp. 2020\u201308 (2020)","DOI":"10.1101\/2020.08.06.20169698"},{"key":"3_CR19","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., Polosukhin, I.: Attention is all you need. Advances in neural information processing systems 30 (2017)"},{"issue":"11","key":"3_CR20","doi-asserted-by":"publisher","first-page":"1261","DOI":"10.1111\/exd.13777","volume":"27","author":"J Yap","year":"2018","unstructured":"Yap, J., Yolland, W., Tschandl, P.: Multimodal skin lesion classification using deep learning. Experimental dermatology 27(11), 1261\u20131267 (2018)","journal-title":"Experimental dermatology"},{"key":"3_CR21","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Li, Z., Zhang, W., Chen, W., Song, Y.: Risk factors for esophageal fistula in patients with locally advanced esophageal carcinoma receiving chemoradiotherapy. OncoTargets and therapy pp. 2311\u20132317 (2018)","DOI":"10.2147\/OTT.S161803"},{"key":"3_CR22","doi-asserted-by":"crossref","unstructured":"Zheng, H., Lin, Z., Zhou, Q., Peng, X., Xiao, J., Zu, C., Jiao, Z., Wang, Y.: Multi-transsp: Multimodal transformer for survival prediction of nasopharyngeal carcinoma patients. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 234\u2013243. Springer (2022)","DOI":"10.1007\/978-3-031-16449-1_23"},{"issue":"6","key":"3_CR23","doi-asserted-by":"publisher","first-page":"743","DOI":"10.1038\/s41551-023-01045-x","volume":"7","author":"HY Zhou","year":"2023","unstructured":"Zhou, H.Y., Yu, Y., Wang, C., Zhang, S., Gao, Y., Pan, J., Shao, J., Lu, G., Zhang, K., Li, W.: A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics. Nature Biomedical Engineering 7(6), 743\u2013755 (2023)","journal-title":"Nature Biomedical Engineering"},{"key":"3_CR24","doi-asserted-by":"crossref","unstructured":"Zhou, Q., Zou, H., Jiang, H., Wang, Y.: Incomplete multimodal learning for visual acuity prediction after cataract surgery using masked self-attention. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 735\u2013744. Springer (2023)","DOI":"10.1007\/978-3-031-43990-2_69"}],"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\/978-3-031-72086-4_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T20:34:57Z","timestamp":1727987697000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72086-4_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031720857","9783031720864"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72086-4_3","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":"4 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"Authors have no competing interests in the paper.","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"}}]}}