{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T18:04:17Z","timestamp":1771005857962,"version":"3.50.1"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032176103","type":"print"},{"value":"9783032176110","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-17611-0_2","type":"book-chapter","created":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T17:13:15Z","timestamp":1771002795000},"page":"12-22","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["VLEER: Vision and\u00a0Language Embeddings for\u00a0Explainable Whole Slide Image Representation"],"prefix":"10.1007","author":[{"given":"Anh Tien","family":"Nguyen","sequence":"first","affiliation":[]},{"given":"Keunho","family":"Byeon","sequence":"additional","affiliation":[]},{"given":"Kyungeun","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Jin Tae","family":"Kwak","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,14]]},"reference":[{"key":"2_CR1","unstructured":"The Cancer Genome Atlas Program (TCGA) \u2014 cancer.gov. https:\/\/www.cancer.gov\/ccg\/research\/genome-sequencing\/tcga"},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Chan, T.H., Cendra, F.J., Ma, L., Yin, G., Yu, L.: Histopathology whole slide image analysis with heterogeneous graph representation learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15661\u201315670 (2023)","DOI":"10.1109\/CVPR52729.2023.01503"},{"issue":"7\u20138","key":"2_CR3","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1016\/j.compmedimag.2011.02.006","volume":"35","author":"TJ Fuchs","year":"2011","unstructured":"Fuchs, T.J., Buhmann, J.M.: Computational pathology: challenges and promises for tissue analysis. Comput. Med. Imaging Graph. 35(7\u20138), 515\u2013530 (2011)","journal-title":"Comput. Med. Imaging Graph."},{"key":"2_CR4","doi-asserted-by":"publisher","unstructured":"Huang, Z., Bianchi, F., Yuksekgonul, M., Montine, T.J., Zou, J.: A visual\u2013language foundation model for pathology image analysis using medical twitter. Nat. Med. 29(9), 2307\u20132316 (2023). https:\/\/doi.org\/10.1038\/s41591-023-02504-3, https:\/\/doi.org\/10.1038\/s41591-023-02504-3","DOI":"10.1038\/s41591-023-02504-3"},{"key":"2_CR5","unstructured":"Ikezogwo, W.O., et al.: Quilt-1m: one million image-text pairs for histopathology. In: Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2023). https:\/\/openreview.net\/forum?id=OL2JQoO0kq"},{"key":"2_CR6","unstructured":"Ilse, M., Tomczak, J., Welling, M.: Attention-based deep multiple instance learning. In: International Conference on Machine Learning, pp. 2127\u20132136. PMLR (2018)"},{"key":"2_CR7","unstructured":"Jia, C., et al.: Scaling up visual and vision-language representation learning with noisy text supervision. In: Meila, M., Zhang, T. (eds.) Proceedings of the 38th International Conference on Machine Learning. Proceedings of Machine Learning Research, vol.\u00a0139, pp. 4904\u20134916. PMLR, 18\u201324 July 2021. https:\/\/proceedings.mlr.press\/v139\/jia21b.html"},{"issue":"1","key":"2_CR8","doi-asserted-by":"publisher","first-page":"18802","DOI":"10.1038\/s41598-020-75708-z","volume":"10","author":"A Levy-Jurgenson","year":"2020","unstructured":"Levy-Jurgenson, A., Tekpli, X., Kristensen, V.N., Yakhini, Z.: Spatial transcriptomics inferred from pathology whole-slide images links tumor heterogeneity to survival in breast and lung cancer. Sci. Rep. 10(1), 18802 (2020)","journal-title":"Sci. Rep."},{"issue":"2","key":"2_CR9","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"S Lloyd","year":"1982","unstructured":"Lloyd, S.: Least squares quantization in pcm. IEEE Trans. Inf. Theory 28(2), 129\u2013137 (1982). https:\/\/doi.org\/10.1109\/TIT.1982.1056489","journal-title":"IEEE Trans. Inf. Theory"},{"key":"2_CR10","doi-asserted-by":"publisher","first-page":"863","DOI":"10.1038\/s41591-024-02856-4","volume":"30","author":"MY Lu","year":"2024","unstructured":"Lu, M.Y., et al.: A visual-language foundation model for computational pathology. Nat. Med. 30, 863\u2013874 (2024)","journal-title":"Nat. Med."},{"issue":"6","key":"2_CR11","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1038\/s41551-020-00682-w","volume":"5","author":"MY Lu","year":"2021","unstructured":"Lu, M.Y., Williamson, D.F., Chen, T.Y., Chen, R.J., Barbieri, M., Mahmood, F.: Data-efficient and weakly supervised computational pathology on whole-slide images. Nat. Biomed. Eng. 5(6), 555\u2013570 (2021)","journal-title":"Nat. Biomed. Eng."},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Nguyen, A.T., Kwak, J.T.: Gpc: generative and general pathology image classifier. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 203\u2013212. Springer (2023)","DOI":"10.1007\/978-3-031-47401-9_20"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Nguyen, A.T., Vuong, T.T.L., Kwak, J.T.: Towards a text-based quantitative and explainable histopathology image analysis. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 514\u2013524. Springer (2024)","DOI":"10.1007\/978-3-031-72083-3_48"},{"key":"2_CR14","unstructured":"Radford, A., et al.: Learning transferable visual models from natural language supervision. In: Meila, M., Zhang, T. (eds.) Proceedings of the 38th International Conference on Machine Learning. Proceedings of Machine Learning Research, vol.\u00a0139, pp. 8748\u20138763. PMLR, 18\u201324 July 2021. https:\/\/proceedings.mlr.press\/v139\/radford21a.html"},{"key":"2_CR15","first-page":"2136","volume":"34","author":"Z Shao","year":"2021","unstructured":"Shao, Z., Bian, H., Chen, Y., Wang, Y., Zhang, J., Ji, X., et al.: Transmil: transformer based correlated multiple instance learning for whole slide image classification. Adv. Neural. Inf. Process. Syst. 34, 2136\u20132147 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"5","key":"2_CR16","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1002\/path.6163","volume":"260","author":"G Verghese","year":"2023","unstructured":"Verghese, G., et al.: Computational pathology in cancer diagnosis, prognosis, and prediction-present day and prospects. J. Pathol. 260(5), 551\u2013563 (2023)","journal-title":"J. Pathol."},{"key":"2_CR17","first-page":"64312","volume":"37","author":"J Wu","year":"2025","unstructured":"Wu, J., Ke, X., Jiang, X., Wu, H., Kong, Y., Shao, L.: Leveraging tumor heterogeneity: heterogeneous graph representation learning for cancer survival prediction in whole slide images. Adv. Neural. Inf. Process. Syst. 37, 64312\u201364337 (2025)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"2_CR18","doi-asserted-by":"crossref","unstructured":"Zhang, J., Nguyen, A.T., Han, X., Trinh, V.Q.H., Qin, H., Samaras, D., Hosseini, M.S.: 2dmamba: efficient state space model for image representation with applications on giga-pixel whole slide image classification (2024). https:\/\/arxiv.org\/abs\/2412.00678","DOI":"10.1109\/CVPR52734.2025.00339"}],"container-title":["Lecture Notes in Computer Science","Interpretability of Machine Intelligence in Medical Image Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-17611-0_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T17:13:19Z","timestamp":1771002799000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-17611-0_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032176103","9783032176110"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-17611-0_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"14 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"iMIMIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Interpretability of Machine Intelligence in Medical Image Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Daejeon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"imimic2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/imimic-workshop.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}