{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T04:31:33Z","timestamp":1771993893059,"version":"3.50.1"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T00:00:00Z","timestamp":1681776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T00:00:00Z","timestamp":1681776000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,4,18]]},"DOI":"10.1109\/isbi53787.2023.10230740","type":"proceedings-article","created":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T17:23:07Z","timestamp":1693588987000},"page":"1-5","source":"Crossref","is-referenced-by-count":2,"title":["BEL: A Bag Embedding Loss for Transformer Enhances Multiple Instance Whole Slide Image Classification"],"prefix":"10.1109","author":[{"given":"Daniel","family":"Sens","sequence":"first","affiliation":[{"name":"Helmholtz Munich,Neuherberg,Germany"}]},{"given":"Ario","family":"Sadafi","sequence":"additional","affiliation":[{"name":"Helmholtz Munich,Neuherberg,Germany"}]},{"given":"Francesco Paolo","family":"Casale","sequence":"additional","affiliation":[{"name":"Helmholtz Munich,Neuherberg,Germany"}]},{"given":"Nassir","family":"Navab","sequence":"additional","affiliation":[{"name":"Technical University of Munich,Faculty of Informatics,Germany"}]},{"given":"Carsten","family":"Marr","sequence":"additional","affiliation":[{"name":"Helmholtz Munich,Neuherberg,Germany"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Bracs: A dataset for breast carcinoma subtyping in h&e histology images","author":"brancati","year":"2021"},{"key":"ref12","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102032"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2867350"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1979.4310076"},{"key":"ref10","article-title":"Densely connected convolutional networks","author":"huang","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-66333-x"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.08.026"},{"key":"ref17","article-title":"Lookahead optimizer: k steps forward, 1 step back","author":"zhang","year":"2019"},{"key":"ref16","article-title":"On the variance of the adaptive learning rate and beyond","author":"liu","year":"2021"},{"key":"ref8","article-title":"Trans-mil: Transformer based correlated multiple instance learning for whole slide image classification","author":"shao","year":"2021"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87237-3_20"},{"key":"ref9","article-title":"Nystr&#x00F6;mformer: A nystr&#x00F6;m-based algorithm for approximating self-attention","author":"xiong","year":"2021"},{"key":"ref4","article-title":"Data efficient and weakly supervised computational pathology on whole slide images","author":"lu","year":"2020"},{"key":"ref3","article-title":"Attention-based deep multiple instance learning","author":"ilse","year":"2018"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87237-3_32"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01409"}],"event":{"name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","location":"Cartagena, Colombia","start":{"date-parts":[[2023,4,18]]},"end":{"date-parts":[[2023,4,21]]}},"container-title":["2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10230311\/10230322\/10230740.pdf?arnumber=10230740","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T17:55:53Z","timestamp":1695664553000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10230740\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,18]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/isbi53787.2023.10230740","relation":{},"subject":[],"published":{"date-parts":[[2023,4,18]]}}}