{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:29:28Z","timestamp":1764588568876,"version":"3.28.0"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T00:00:00Z","timestamp":1724716800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T00:00:00Z","timestamp":1724716800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100003077","name":"Knowledge Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100003077","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,27]]},"DOI":"10.1109\/cibcb58642.2024.10702166","type":"proceedings-article","created":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T17:34:50Z","timestamp":1728408890000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Domain Generalization of Deep Learning Models Under Subgroup Shift in Breast Cancer Prognosis"],"prefix":"10.1109","author":[{"given":"S\u00f6ren Richard","family":"Stahlschmidt","sequence":"first","affiliation":[{"name":"University of Skövde,Systems Biology Research Center,Skövde,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benjamin","family":"Ulfenborg","sequence":"additional","affiliation":[{"name":"University of Skövde,Systems Biology Research Center,Skövde,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G\u00f6ran","family":"Falkman","sequence":"additional","affiliation":[{"name":"University of Skövde,Skövde Artificial Intelligence Lab,Skövde,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jane","family":"Synnergren","sequence":"additional","affiliation":[{"name":"University of Skövde,Systems Biology Research Center,Skövde,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"article-title":"SEER*Explorer: An interactive website for SEER cancer statistics","volume-title":"Internet, Surveillance Research Program, National Cancer Institute","year":"2023","key":"ref1"},{"issue":"3","key":"ref2","article-title":"The application of deep learning in cancer prognosis prediction","volume-title":"Cancers","volume":"12","author":"Zhu","year":"2020"},{"key":"ref3","article-title":"Towards out-of-distribution generalization: A survey","volume-title":"CoRR","author":"Shen","year":"2021"},{"key":"ref4","article-title":"Opening the black box of deep neural networks via information","volume-title":"CoRR","author":"Shwartz-Ziv","year":"2017"},{"key":"ref5","article-title":"Gradient starvation: A learning proclivity in neural networks","volume-title":"Neural Information Processing Systems","author":"Pezeshki","year":"2020"},{"key":"ref6","first-page":"40830","article-title":"Learning useful representations for shifting tasks and distributions","volume-title":"International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA","volume":"202","author":"Zhang"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2022.3195549"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mdv221"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1158\/1055-9965.epi-17-0627"},{"key":"ref10","first-page":"5637","article-title":"Wilds: A benchmark of in-the-wild distribution shifts","volume-title":"Proceedings of the 38th International Conference on Machine Learning","volume":"139","author":"Koh"},{"article-title":"Domain generalization in computational pathology: Survey and guidelines","year":"2023","author":"Jahanifar","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-46413-6"},{"key":"ref13","first-page":"5815","article-title":"Out-of-distribution generalization via risk extrapolation (rex)","volume-title":"Proceedings of the 38th International Conference on Machine Learning","volume":"139","author":"Krueger"},{"key":"ref14","first-page":"32","article-title":"Evaluating domain generalization for survival analysis in clinical studies","volume-title":"Proceedings of the Conference on Health, Inference, and Learning","volume":"174","author":"Pfisterer"},{"article-title":"Change is hard: a closer look at subpopulation shift","volume-title":"Proceedings of the 40th International Conference on Machine Learning","author":"Yang","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/jncimonographs\/lgu024"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mdv106"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41523-022-00465-3"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/nature11412"},{"issue":"1","key":"ref20","first-page":"128","article-title":"Multiomics in primary and metastatic breast tumors from the aurora us network finds microenvironment and epigenetic drivers of metastasis","volume-title":"Nature Cancer","volume":"4","author":"Garcia-Recio","year":"2023"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-25962-0"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01681-z"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ccell.2019.02.001"},{"issue":"4","key":"ref24","first-page":"361","article-title":"Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors","volume-title":"Statistics in Medicine","volume":"15","author":"Harrell","year":"1996"},{"key":"ref25","first-page":"448","article-title":"Batch normalization: accelerating deep network training by reducing internal covariate shift","volume-title":"Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37","author":"Ioffe"},{"issue":"56","key":"ref26","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume-title":"Journal of Machine Learning Research","volume":"15","author":"Srivastava","year":"2014"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1186\/s12874-018-0482-1"},{"key":"ref28","article-title":"Averaging weights leads to wider optima and better generalization","volume-title":"CoRR","author":"Izmailov","year":"2018"},{"key":"ref29","first-page":"336","article-title":"Simple data balancing achieves competitive worst-group-accuracy","volume-title":"Proceedings of the First Conference on Causal Learning and Reasoning","volume":"177","author":"Idrissi"},{"article-title":"Distributionally robust neural networks","volume-title":"International Conference on Learning Representations","author":"Sagawa","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-018-2246-7"},{"article-title":"Adam: A method for stochastic optimization","volume-title":"International Conference on Learning Representations (ICLR)","author":"Kingma","key":"ref32"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41571-021-00565-2"}],"event":{"name":"2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","start":{"date-parts":[[2024,8,27]]},"location":"Natal, Brazil","end":{"date-parts":[[2024,8,29]]}},"container-title":["2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10701606\/10702101\/10702166.pdf?arnumber=10702166","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T05:50:28Z","timestamp":1728453028000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10702166\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,27]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/cibcb58642.2024.10702166","relation":{},"subject":[],"published":{"date-parts":[[2024,8,27]]}}}