{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T07:23:13Z","timestamp":1760080993452,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031723834"},{"type":"electronic","value":"9783031723841"}],"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\/978-3-031-72384-1_33","type":"book-chapter","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T11:02:53Z","timestamp":1727866973000},"page":"347-357","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["PG-MLIF: Multimodal Low-Rank Interaction Fusion Framework Integrating Pathological Images and\u00a0Genomic Data for\u00a0Cancer Prognosis Prediction"],"prefix":"10.1007","author":[{"given":"Xipeng","family":"Pan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yajun","family":"An","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rushi","family":"Lan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenbing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zaiyi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huihua","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,3]]},"reference":[{"key":"33_CR1","unstructured":"Arevalo, J., Solorio, T., Montes-y G\u00f3mez, M., Gonz\u00e1lez, F.A.: Gated multimodal units for information fusion. arXiv preprint arXiv:1702.01992 (2017)"},{"key":"33_CR2","doi-asserted-by":"crossref","unstructured":"Braman, N., Gordon, J.W., Goossens, E.T., Willis, C., Stumpe, M.C., Venkataraman, J.: Deep orthogonal fusion: Multimodal prognostic biomarker discovery integrating radiology, pathology, genomic, and clinical data. 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. 667\u2013677. Springer (2021)","DOI":"10.1007\/978-3-030-87240-3_64"},{"key":"33_CR3","doi-asserted-by":"crossref","unstructured":"Ram\u00f3n\u00a0y Cajal, S., Ses\u00e9, M., Capdevila, C., Aasen, T., De\u00a0Mattos-Arruda, L., Diaz-Cano, S.J., Hern\u00e1ndez-Losa, J., Castellv\u00ed, J.: Clinical implications of intratumor heterogeneity: challenges and opportunities. Journal of Molecular Medicine 98, 161\u2013177 (2020)","DOI":"10.1007\/s00109-020-01874-2"},{"issue":"5","key":"33_CR4","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1158\/2159-8290.CD-12-0095","volume":"2","author":"E Cerami","year":"2012","unstructured":"Cerami, E., Gao, J., Dogrusoz, U., Gross, B.E., Sumer, S.O., Aksoy, B.A., Jacobsen, A., Byrne, C.J., Heuer, M.L., Larsson, E., et\u00a0al.: The cbio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discovery 2(5), 401\u2013404 (2012)","journal-title":"Cancer Discovery"},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Chan, J.K.: The wonderful colors of the hematoxylin\u2013eosin stain in diagnostic surgical pathology. International Journal of Surgical Pathology 22(1), 12\u201332 (2014)","DOI":"10.1177\/1066896913517939"},{"issue":"4","key":"33_CR6","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1109\/TMI.2020.3021387","volume":"41","author":"RJ Chen","year":"2020","unstructured":"Chen, R.J., Lu, M.Y., Wang, J., Williamson, D.F., Rodig, S.J., Lindeman, N.I., Mahmood, F.: Pathomic fusion: an integrated framework for fusing histopathology and genomic features for cancer diagnosis and prognosis. IEEE Transactions on Medical Imaging 41(4), 757\u2013770 (2020)","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Chen, R.J., Lu, M.Y., Weng, W.H., Chen, T.Y., Williamson, D.F., Manz, T., Shady, M., Mahmood, F.: Multimodal co-attention transformer for survival prediction in gigapixel whole slide images. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 4015\u20134025 (2021)","DOI":"10.1109\/ICCV48922.2021.00398"},{"key":"33_CR8","doi-asserted-by":"crossref","unstructured":"Gao, J., Aksoy, B.A., Dogrusoz, U., Dresdner, G., Gross, B., Sumer, S.O., Sun, Y., Jacobsen, A., Sinha, R., Larsson, E., et\u00a0al.: Integrative analysis of complex cancer genomics and clinical profiles using the cbioportal. Science Signaling 6(269), pl1\u2013pl1 (2013)","DOI":"10.1126\/scisignal.2004088"},{"issue":"3","key":"33_CR9","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1158\/0008-5472.CAN-17-1357","volume":"78","author":"W Hankey","year":"2018","unstructured":"Hankey, W., McIlhatton, M.A., Ebede, K., Kennedy, B., Hancioglu, B., Zhang, J., Brock, G.N., Huang, K., Groden, J.: Mutational mechanisms that activate wnt signaling and predict outcomes in colorectal cancer patients. Cancer Research 78(3), 617\u2013630 (2018)","journal-title":"Cancer Research"},{"key":"33_CR10","doi-asserted-by":"publisher","first-page":"166","DOI":"10.3389\/fgene.2019.00166","volume":"10","author":"Z Huang","year":"2019","unstructured":"Huang, Z., Zhan, X., Xiang, S., Johnson, T.S., Helm, B., Yu, C.Y., Zhang, J., Salama, P., Rizkalla, M., Han, Z., et\u00a0al.: Salmon: survival analysis learning with multi-omics neural networks on breast cancer. Frontiers in Genetics 10, \u00a0166 (2019)","journal-title":"Frontiers in Genetics"},{"key":"33_CR11","doi-asserted-by":"crossref","unstructured":"Liu, Z., Shen, Y., Lakshminarasimhan, V.B., Liang, P.P., Zadeh, A., Morency, L.P.: Efficient low-rank multimodal fusion with modality-specific factors. arXiv preprint arXiv:1806.00064 (2018)","DOI":"10.18653\/v1\/P18-1209"},{"issue":"5","key":"33_CR12","doi-asserted-by":"publisher","first-page":"563","DOI":"10.21147\/j.issn.1000-9604.2021.05.03","volume":"33","author":"C Lu","year":"2021","unstructured":"Lu, C., Shiradkar, R., Liu, Z.: Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review. Chinese Journal of Cancer Research 33(5), \u00a0563 (2021)","journal-title":"Chinese Journal of Cancer Research"},{"key":"33_CR13","doi-asserted-by":"crossref","unstructured":"Lu, Z., Lu, M., Xia, Y.: M 2 f: A multi-modal and multi-task fusion network for glioma diagnosis and prognosis. In: International Workshop on Multiscale Multimodal Medical Imaging. pp. 1\u201310. Springer (2022)","DOI":"10.1007\/978-3-031-18814-5_1"},{"key":"33_CR14","doi-asserted-by":"crossref","unstructured":"Pan, X., Cheng, J., Hou, F., Lan, R., Lu, C., Li, L., Feng, Z., Wang, H., Liang, C., Liu, Z., et\u00a0al.: Smile: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations. Medical Image Analysis p. 102867 (2023)","DOI":"10.1016\/j.media.2023.102867"},{"key":"33_CR15","doi-asserted-by":"crossref","unstructured":"Pan, X., Lin, H., Han, C., Feng, Z., Wang, Y., Lin, J., Qiu, B., Yan, L., Li, B., Xu, Z., et\u00a0al.: Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinoma. iScience 25(12) (2022)","DOI":"10.1016\/j.isci.2022.105605"},{"key":"33_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2022.102260","volume":"126","author":"K Tan","year":"2022","unstructured":"Tan, K., Huang, W., Liu, X., Hu, J., Dong, S.: A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction. Artificial Intelligence in Medicine 126, 102260 (2022)","journal-title":"Artificial Intelligence in Medicine"},{"issue":"18","key":"33_CR17","doi-asserted-by":"publisher","first-page":"2963","DOI":"10.1093\/bioinformatics\/btab185","volume":"37","author":"Z Wang","year":"2021","unstructured":"Wang, Z., Li, R., Wang, M., Li, A.: Gpdbn: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction. Bioinformatics 37(18), 2963\u20132970 (2021)","journal-title":"Bioinformatics"},{"key":"33_CR18","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/j.csbj.2021.12.028","volume":"20","author":"J Yang","year":"2022","unstructured":"Yang, J., Ju, J., Guo, L., Ji, B., Shi, S., Yang, Z., Gao, S., Yuan, X., Tian, G., Liang, Y., et\u00a0al.: Prediction of her2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning. Computational and Structural Biotechnology Journal 20, 333\u2013342 (2022)","journal-title":"Computational and Structural Biotechnology Journal"},{"key":"33_CR19","doi-asserted-by":"crossref","unstructured":"Zadeh, A., Chen, M., Poria, S., Cambria, E., Morency, L.P.: Tensor fusion network for multimodal sentiment analysis. arXiv preprint arXiv:1707.07250 (2017)","DOI":"10.18653\/v1\/D17-1115"},{"key":"33_CR20","doi-asserted-by":"crossref","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 pp. 1\u201313 (2023)","DOI":"10.1038\/s41551-023-01045-x"}],"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\/978-3-031-72384-1_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T11:17:21Z","timestamp":1727867841000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72384-1_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031723834","9783031723841"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72384-1_33","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"}}]}}