{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:29:31Z","timestamp":1764588571875,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031721199"},{"type":"electronic","value":"9783031721205"}],"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\/978-3-031-72120-5_25","type":"book-chapter","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T12:02:53Z","timestamp":1727870573000},"page":"265-275","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["F2TNet: FMRI to\u00a0T1w MRI Knowledge Transfer Network for\u00a0Brain Multi-phenotype Prediction"],"prefix":"10.1007","author":[{"given":"Zhibin","family":"He","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wuyang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihao","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianming","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junwei","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tuo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yixuan","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,3]]},"reference":[{"issue":"4","key":"25_CR1","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1002\/mrm.1910340409","volume":"34","author":"B Biswal","year":"1995","unstructured":"Biswal, B., Zerrin\u00a0Yetkin, F., Haughton, V.M., Hyde, J.S.: Functional connectivity in the motor cortex of resting human brain using echo-planar mri. Magnetic resonance in medicine 34(4), 537\u2013541 (1995)","journal-title":"Magnetic resonance in medicine"},{"issue":"7","key":"25_CR2","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1038\/nn.3423","volume":"16","author":"RL Buckner","year":"2013","unstructured":"Buckner, R.L., Krienen, F.M., Yeo, B.T.: Opportunities and limitations of intrinsic functional connectivity mri. Nature neuroscience 16(7), 832\u2013837 (2013)","journal-title":"Nature neuroscience"},{"issue":"1","key":"25_CR3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-021-27699-2","volume":"13","author":"J Chen","year":"2022","unstructured":"Chen, J., Tam, A., Kebets, V., Orban, C., Ooi, L.Q.R., Asplund, C.L., Marek, S., Dosenbach, N.U., Eickhoff, S.B., Bzdok, D., et\u00a0al.: Shared and unique brain network features predict cognitive, personality, and mental health scores in the abcd study. Nature communications 13(1), 1\u201317 (2022)","journal-title":"Nature communications"},{"issue":"10","key":"25_CR4","doi-asserted-by":"publisher","first-page":"5189","DOI":"10.1109\/JBHI.2022.3188878","volume":"26","author":"W Chen","year":"2022","unstructured":"Chen, W., Liu, Y., Hu, J., Yuan, Y.: Dynamic depth-aware network for endoscopy super-resolution. IEEE Journal of Biomedical and Health Informatics 26(10), 5189\u20135200 (2022)","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"25_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102976","volume":"90","author":"Z Chen","year":"2023","unstructured":"Chen, Z., Li, W., Xing, X., Yuan, Y.: Medical federated learning with joint graph purification for noisy label learning. Medical Image Analysis 90, 102976 (2023)","journal-title":"Medical Image Analysis"},{"key":"25_CR6","doi-asserted-by":"crossref","unstructured":"Cheng, J., Zhang, X., Zhao, F., Wu, Z., Yuan, X., Wang, L., Lin, W., Li, G.: Prediction of infant cognitive development with cortical surface-based multimodal learning. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 618\u2013627. Springer (2023)","DOI":"10.1007\/978-3-031-43895-0_58"},{"key":"25_CR7","doi-asserted-by":"crossref","unstructured":"Gao, J., Zhao, L., Zhong, T., Li, C., He, Z., Wei, Y., Zhang, S., Guo, L., Liu, T., Han, J., et\u00a0al.: Prediction of cognitive scores by joint use of movie-watching fmri connectivity and eye tracking via attention-censnet. Psychoradiology 3 (2023)","DOI":"10.1093\/psyrad\/kkad011"},{"key":"25_CR8","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.neuroimage.2013.04.127","volume":"80","author":"MF Glasser","year":"2013","unstructured":"Glasser, M.F., Sotiropoulos, S.N., Wilson, J.A., Coalson, T.S., Fischl, B., Andersson, J.L., Xu, J., Jbabdi, S., Webster, M., Polimeni, J.R., et\u00a0al.: The minimal preprocessing pipelines for the human connectome project. Neuroimage 80, 105\u2013124 (2013)","journal-title":"Neuroimage"},{"issue":"1","key":"25_CR9","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1093\/cercor\/bhu239","volume":"26","author":"EM Gordon","year":"2016","unstructured":"Gordon, E.M., Laumann, T.O., Adeyemo, B., Huckins, J.F., Kelley, W.M., Petersen, S.E.: Generation and evaluation of a cortical area parcellation from resting-state correlations. Cerebral cortex 26(1), 288\u2013303 (2016)","journal-title":"Cerebral cortex"},{"issue":"16","key":"25_CR10","doi-asserted-by":"publisher","first-page":"3359","DOI":"10.1093\/cercor\/bhab420","volume":"32","author":"Z He","year":"2022","unstructured":"He, Z., Du, L., Huang, Y., Jiang, X., Lv, J., Guo, L., Zhang, S., Zhang, T.: Gyral hinges account for the highest cost and the highest communication capacity in a corticocortical network. Cerebral Cortex 32(16), 3359\u20133376 (2022)","journal-title":"Cerebral Cortex"},{"key":"25_CR11","doi-asserted-by":"crossref","unstructured":"He, Z., Li, W., Zhang, T., Yuan, Y.: H 2 gm: A hierarchical hypergraph matching framework for brain landmark alignment. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 548\u2013558. Springer (2023)","DOI":"10.1007\/978-3-031-43999-5_52"},{"issue":"1","key":"25_CR12","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1093\/psyrad\/kkab002","volume":"1","author":"X Jiang","year":"2021","unstructured":"Jiang, X., Zhang, T., Zhang, S., Kendrick, K.M., Liu, T.: Fundamental functional differences between gyri and sulci: implications for brain function, cognition, and behavior. Psychoradiology 1(1), 23\u201341 (2021)","journal-title":"Psychoradiology"},{"key":"25_CR13","unstructured":"Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Li, C., Lin, M., Ding, Z., Lin, N., Zhuang, Y., Huang, Y., Ding, X., Cao, L.: Knowledge condensation distillation. In: European Conference on Computer Vision. pp. 19\u201335. Springer Nature Switzerland Cham (2022)","DOI":"10.1007\/978-3-031-20083-0_2"},{"key":"25_CR15","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.neuroimage.2019.04.016","volume":"196","author":"J Li","year":"2019","unstructured":"Li, J., Kong, R., Li\u00e9geois, R., Orban, C., Tan, Y., Sun, N., Holmes, A.J., Sabuncu, M.R., Ge, T., Yeo, B.T.: Global signal regression strengthens association between resting-state functional connectivity and behavior. NeuroImage 196, 126\u2013141 (2019)","journal-title":"NeuroImage"},{"key":"25_CR16","doi-asserted-by":"crossref","unstructured":"Li, W., Liu, X., Yuan, Y.: Sigma: Semantic-complete graph matching for domain adaptive object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 5291\u20135300 (2022)","DOI":"10.1109\/CVPR52688.2022.00522"},{"key":"25_CR17","doi-asserted-by":"crossref","unstructured":"Li, W., Liu, X., Yuan, Y.: Sigma++: Improved semantic-complete graph matching for domain adaptive object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (2023)","DOI":"10.1109\/TPAMI.2023.3235367"},{"key":"25_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102233","volume":"74","author":"X Li","year":"2021","unstructured":"Li, X., Zhou, Y., Dvornek, N., Zhang, M., Gao, S., Zhuang, J., Scheinost, D., Staib, L.H., Ventola, P., Duncan, J.S.: Braingnn: Interpretable brain graph neural network for fmri analysis. Medical Image Analysis 74, 102233 (2021)","journal-title":"Medical Image Analysis"},{"key":"25_CR19","doi-asserted-by":"crossref","unstructured":"Liu, X., Peng, H., Zheng, N., Yang, Y., Hu, H., Yuan, Y.: Efficientvit: Memory efficient vision transformer with cascaded group attention. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 14420\u201314430 (2023)","DOI":"10.1109\/CVPR52729.2023.01386"},{"key":"25_CR20","doi-asserted-by":"crossref","unstructured":"Liu, Y., Li, W., Liu, J., Chen, H., Yuan, Y.: Grab-net: Graph-based boundary-aware network for medical point cloud segmentation. IEEE Transactions on Medical Imaging (2023)","DOI":"10.1109\/TMI.2023.3265000"},{"key":"25_CR21","doi-asserted-by":"crossref","unstructured":"Liu, Y., Liu, J., Yuan, Y.: Edge-oriented point-cloud transformer for 3d intracranial aneurysm segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention. pp. 97\u2013106. Springer (2022)","DOI":"10.1007\/978-3-031-16443-9_10"},{"issue":"1","key":"25_CR22","doi-asserted-by":"publisher","first-page":"17543","DOI":"10.1038\/s41598-018-35209-6","volume":"8","author":"LD Nickerson","year":"2018","unstructured":"Nickerson, L.D.: Replication of resting state-task network correspondence and novel findings on brain network activation during task fmri in the human connectome project study. Scientific reports 8(1), 17543 (2018)","journal-title":"Scientific reports"},{"key":"25_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.119636","volume":"263","author":"LQR Ooi","year":"2022","unstructured":"Ooi, L.Q.R., Chen, J., Zhang, S., Kong, R., Tam, A., Li, J., Dhamala, E., Zhou, J.H., Holmes, A.J., Yeo, B.T.: Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity mri. NeuroImage 263, 119636 (2022)","journal-title":"NeuroImage"},{"key":"25_CR24","unstructured":"Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., et\u00a0al.: Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems 32 (2019)"},{"key":"25_CR25","doi-asserted-by":"crossref","unstructured":"Sebenius, I., Campbell, A., Morgan, S.E., Bullmore, E.T., Li\u00f2, P.: Multimodal graph coarsening for interpretable, mri-based brain graph neural network. In: 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP). pp.\u00a01\u20136. IEEE (2021)","DOI":"10.1109\/MLSP52302.2021.9690626"},{"key":"25_CR26","doi-asserted-by":"crossref","unstructured":"Van\u00a0Essen, D.C., Smith, S.M., Barch, D.M., Behrens, T.E., Yacoub, E., Ugurbil, K., Consortium, W.M.H., et\u00a0al.: The wu-minn human connectome project: an overview. Neuroimage 80, 62\u201379 (2013)","DOI":"10.1016\/j.neuroimage.2013.05.041"},{"key":"25_CR27","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":"4","key":"25_CR28","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1093\/cercor\/bhac111","volume":"33","author":"Q Wang","year":"2023","unstructured":"Wang, Q., Zhao, S., He, Z., Zhang, S., Jiang, X., Zhang, T., Liu, T., Liu, C., Han, J.: Modeling functional difference between gyri and sulci within intrinsic connectivity networks. Cerebral Cortex 33(4), 933\u2013947 (2023)","journal-title":"Cerebral Cortex"},{"issue":"17","key":"25_CR29","doi-asserted-by":"publisher","first-page":"9802","DOI":"10.1093\/cercor\/bhad245","volume":"33","author":"Q Wang","year":"2023","unstructured":"Wang, Q., Zhao, S., Liu, T., Han, J., Liu, C.: Temporal fingerprints of cortical gyrification in marmosets and humans. Cerebral Cortex 33(17), 9802\u20139814 (2023)","journal-title":"Cerebral Cortex"},{"issue":"10","key":"25_CR30","doi-asserted-by":"publisher","first-page":"2953","DOI":"10.1109\/TMI.2022.3175478","volume":"41","author":"Q Yang","year":"2022","unstructured":"Yang, Q., Guo, X., Chen, Z., Woo, P.Y., Yuan, Y.: D 2-net: Dual disentanglement network for brain tumor segmentation with missing modalities. IEEE Transactions on Medical Imaging 41(10), 2953\u20132964 (2022)","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"25_CR31","doi-asserted-by":"crossref","unstructured":"Zhang, S., Zhang, T., Cao, G., Zhou, J., He, Z., Li, X., Ren, Y., Liu, T., Jiang, X., Guo, L., et\u00a0al.: Species-shared and-unique gyral peaks on human and macaque brains. Elife 12, RP90182 (2024)","DOI":"10.7554\/eLife.90182"}],"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\/978-3-031-72120-5_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T12:25:15Z","timestamp":1727871915000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72120-5_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031721199","9783031721205"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72120-5_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"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"}}]}}