{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T16:02:48Z","timestamp":1790179368614,"version":"4.1.0"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032381712","type":"print"},{"value":"9783032381729","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T00:00:00Z","timestamp":1790208000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T00:00:00Z","timestamp":1790208000000},"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\/978-3-032-38172-9_59","type":"book-chapter","created":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T15:16:45Z","timestamp":1790176605000},"page":"620-630","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["TGBD-Net: Tumor-Guided Bridging Distillation for\u00a0Joint EGFR Mutation and\u00a0Survival Prediction in\u00a0Lung Cancer from\u00a0CT Imaging"],"prefix":"10.1007","author":[{"given":"Huihui","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingyu","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haolin","family":"Sang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengcai","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,24]]},"reference":[{"key":"59_CR1","unstructured":"Bytez.com, Qin, X., Wang, X., Liao, N., Yan, J.: NTKMTL: Mitigating Task Imbalance in Multi-Task Learning (Dec 2025). https:\/\/bytez.com\/docs\/neurips\/119235\/paper"},{"key":"59_CR2","unstructured":"Chen, S., Ma, K., Zheng, Y.: Med3d: transfer learning for 3d medical image analysis, arXiv preprint arXiv:1904.00625 (2019)"},{"key":"59_CR3","doi-asserted-by":"publisher","unstructured":"Cipolla, R., Gal, Y., Kendall, A.: Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics, pp. 7482\u20137491 (Jun 2018). https:\/\/doi.org\/10.1109\/CVPR.2018.00781","DOI":"10.1109\/CVPR.2018.00781"},{"key":"59_CR4","doi-asserted-by":"publisher","unstructured":"Cox, D. R.: Regression models and life-tables. J. Roy. Statist. Society, Ser. B (Statist. Methodo.) 34(2), 187\u2013202 (1972). https:\/\/doi.org\/10.1111\/j.2517-6161.1972.tb00899.x","DOI":"10.1111\/j.2517-6161.1972.tb00899.x"},{"key":"59_CR5","doi-asserted-by":"publisher","unstructured":"Du, X., Lu, X., Cao, X.: Gantt chart for updated OS and PFS after cancer targeted therapy. Innovation Med. 1, \u00a01 (2023). https:\/\/doi.org\/10.59717\/j.xinn-med.2023.100008","DOI":"10.59717\/j.xinn-med.2023.100008"},{"key":"59_CR6","doi-asserted-by":"publisher","unstructured":"Riely, G.J., et al.: NCCN guidelines\u00ae insights: non\u2013small cell lung cancer, Version 7.2025. J. Nat. Comprehensive Cancer Netw. 23(9) (2025). https:\/\/doi.org\/10.6004\/jnccn.2025.0043","DOI":"10.6004\/jnccn.2025.0043"},{"key":"59_CR7","doi-asserted-by":"publisher","unstructured":"Huang, X., Wang, S., Liu, C., Sang, H., Wu, Y., Tian, J.: Feature copy-paste network for lung cancer EGFR mutation status prediction in CT images. In: Gee, J.C., et al. (eds.) MICCAI 2025. LNCS, vol. 15974. Springer, Cham (2025). https:\/\/doi.org\/10.1007\/978-3-032-05182-0_21","DOI":"10.1007\/978-3-032-05182-0_21"},{"key":"59_CR8","unstructured":"Ilse, M., Tomczak, J., Welling, M.: Attention-based deep multiple instance learning. In: Proceedings of the 35th International Conference on Machine Learning, pp. 2127\u20132136 (2018)"},{"key":"59_CR9","doi-asserted-by":"publisher","unstructured":"Jeong, W., Yoon, K.J.: Quantifying Task Priority for Multi-Task Optimization, pp. 363\u2013372 (Jun 2024). https:\/\/doi.org\/10.1109\/CVPR52733.2024.00042","DOI":"10.1109\/CVPR52733.2024.00042"},{"key":"59_CR10","unstructured":"Jeong, W., Yoon, K.J.: Selective task group updates for multi-task optimization (2025). https:\/\/arxiv.org\/abs\/2502.11986"},{"key":"59_CR11","doi-asserted-by":"publisher","unstructured":"Katzman, J., Shaham, U., Cloninger, A., Bates, J., Jiang, T., Kluger, Y.: DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network. BMC Med. Res. Methodol. 18 (Feb 2018). https:\/\/doi.org\/10.1186\/s12874-018-0482-1","DOI":"10.1186\/s12874-018-0482-1"},{"key":"59_CR12","doi-asserted-by":"crossref","unstructured":"Kim, D., Shim, H.: Classifier-guided clip distillation for unsupervised multi-label classification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4661\u20134671 (2025)","DOI":"10.1109\/CVPR52734.2025.00439"},{"key":"59_CR13","unstructured":"Liu, B., Liu, X., Jin, X., Stone, P., Liu, Q.: Conflict-averse gradient descent for multi-task learning. In: Advances in Neural Information Processing Systems, vol.\u00a034 (2021)"},{"key":"59_CR14","doi-asserted-by":"publisher","unstructured":"Liu, Z., et al.: Video swin transformer. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3192\u20133201. IEEE, New Orleans, LA, USA (Jun 2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.00320","DOI":"10.1109\/CVPR52688.2022.00320"},{"key":"59_CR15","doi-asserted-by":"publisher","unstructured":"Nishi, K., Kim, J., Li, W., Pfister, H.: Joint-Task Regularization for Partially Labeled Multi-Task Learning, pp. 16152\u201316162 (Jun 2024). https:\/\/doi.org\/10.1109\/CVPR52733.2024.01529","DOI":"10.1109\/CVPR52733.2024.01529"},{"issue":"2","key":"59_CR16","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/j.annonc.2024.10.010","volume":"36","author":"T Nishimura","year":"2025","unstructured":"Nishimura, T., Fujimoto, H.: PFS, OS or toxicity: what is the most important factor in the treatment of EGFR-mutated lung cancer? Ann. Oncol. 36(2), 220\u2013221 (2025). https:\/\/doi.org\/10.1016\/j.annonc.2024.10.010","journal-title":"Ann. Oncol."},{"key":"59_CR17","doi-asserted-by":"publisher","unstructured":"Parchami-Araghi, A., B\u00f6hle, M., Rao, S., Schiele, B.: Good teachers explain: explanation-enhanced knowledge distillation. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds.) ECCV 2024. LNCS, vol. 15131, pp. 293\u2013310. Springer Nature Switzerland, Cham (2025). https:\/\/doi.org\/10.1007\/978-3-031-73464-9_18","DOI":"10.1007\/978-3-031-73464-9_18"},{"key":"59_CR18","doi-asserted-by":"publisher","unstructured":"Ruder, S.: An Overview of Multi-Task Learning in Deep Neural Networks (Jun 2017). https:\/\/doi.org\/10.48550\/arXiv.1706.05098","DOI":"10.48550\/arXiv.1706.05098"},{"key":"59_CR19","doi-asserted-by":"publisher","unstructured":"Senushkin, D., Patakin, N., Kuznetsov, A., Konushin, A.: Independent component alignment for multi-task learning. In: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 20083\u201320093. IEEE, Vancouver, BC, Canada (Jun 2023). https:\/\/doi.org\/10.1109\/CVPR52729.2023.01923","DOI":"10.1109\/CVPR52729.2023.01923"},{"key":"59_CR20","doi-asserted-by":"crossref","unstructured":"Shen, J., et al.: Episodic multi-task learning with heterogeneous neural processes. In: Levine, S. (ed.) Advances in Neural Information Processing Systems, vol. 36, pp. 75214\u201375228. Curran Associates, Inc (2023)","DOI":"10.52202\/075280-3287"},{"issue":"8","key":"59_CR21","doi-asserted-by":"publisher","first-page":"973","DOI":"10.1200\/JCO.23.02259","volume":"42","author":"DJ Stewart","year":"2024","unstructured":"Stewart, D.J., Ramsay, T., Navani, V., Liu, G., Jiang, D.M., Batist, G.: Progression-free survival gain: a reliable primary end point for drug registration that can accelerate patient access to urgently needed therapies. J. Clin. Oncol. 42(8), 973\u2013974 (2024). https:\/\/doi.org\/10.1200\/JCO.23.02259","journal-title":"J. Clin. Oncol."},{"key":"59_CR22","unstructured":"Tarvainen, A., Valpola, H.: Mean teachers are better role models: weight-averaged consistency targets improve semi-supervised deep learning results, Red Hook, NY, USA, pp. 1195\u20131204 (2017)"},{"key":"59_CR23","doi-asserted-by":"publisher","unstructured":"Yan, J., Han, X., Zhao, J., Gao, Y.: Multimodal hypergraph guide learning for non-invasive CcRCC survival prediction. In: Gee, J.C., et al. (eds.) MICCAI 2025. LNCS, vol. 15971. Springer, Cham (2026). https:\/\/doi.org\/10.1007\/978-3-032-05162-2_49","DOI":"10.1007\/978-3-032-05162-2_49"},{"key":"59_CR24","doi-asserted-by":"publisher","unstructured":"Zhang, Q., et al.: Multi-modal knowledge decomposition based online distillation for biomarker prediction in breast cancer histopathology. In: Gee, J.C., et al. (eds.) MICCAI 2025. LNCS, vol. 15974. Springer, Cham (2025). https:\/\/doi.org\/10.1007\/978-3-032-05182-0_35","DOI":"10.1007\/978-3-032-05182-0_35"},{"issue":"12","key":"59_CR25","doi-asserted-by":"publisher","first-page":"5586","DOI":"10.1109\/TKDE.2021.3070203","volume":"34","author":"Y Zhang","year":"2022","unstructured":"Zhang, Y., Yang, Q.: A survey on multi-task learning. IEEE Trans. Knowl. Data Eng. 34(12), 5586\u20135609 (2022). https:\/\/doi.org\/10.1109\/TKDE.2021.3070203","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"59_CR26","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1038\/s41571-024-00971-2","volume":"22","author":"F Zhou","year":"2025","unstructured":"Zhou, F., et al.: The changing treatment landscape of EGFR-mutant non-small-cell lung cancer. Nat. Rev. Clin. Oncol. 22(2), 95\u2013116 (2025). https:\/\/doi.org\/10.1038\/s41571-024-00971-2","journal-title":"Nat. Rev. Clin. Oncol."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2026"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-38172-9_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T15:16:49Z","timestamp":1790176609000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-38172-9_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,24]]},"ISBN":["9783032381712","9783032381729"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-38172-9_59","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,24]]},"assertion":[{"value":"24 September 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have\u00a0no competing interests to declare that are relevant to the content\u00a0of this article.","order":1,"name":"Ethics","label":"Disclosure of Funding","group":{"name":"EthicsHeading","label":"Ethics"}},{"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":"Strasbourg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","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":"27 September 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 October 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conferences.miccai.org\/2026\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}