{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T07:12:32Z","timestamp":1778051552435,"version":"3.51.4"},"reference-count":57,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T00:00:00Z","timestamp":1772755200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,6]]},"DOI":"10.1109\/wacv61042.2026.00331","type":"proceedings-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T19:59:32Z","timestamp":1778011172000},"page":"3390-3400","source":"Crossref","is-referenced-by-count":0,"title":["HistoMILKD: A Multiple Instance Learning based Multi-Teacher Knowledge Distillation Framework for Whole Slide Image Classification"],"prefix":"10.1109","author":[{"given":"Mayur","family":"Mallya","sequence":"first","affiliation":[{"name":"University of British Columbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali Khajegili","family":"Mirabadi","sequence":"additional","affiliation":[{"name":"University of British Columbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hossein","family":"Farahani","sequence":"additional","affiliation":[{"name":"University of British Columbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Bashashati","sequence":"additional","affiliation":[{"name":"University of British Columbia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","author":"Bilal","year":"2025","journal-title":"Foundation models in computational pathology: A review of challenges, opportunities, and impact"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3337549"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41698-025-00799-8"},{"key":"ref4","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87237-3_33"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01567"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-024-02857-3"},{"key":"ref8","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume-title":"International conference on machine learning","author":"Chen"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2021.100198"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/2516-1091\/acc2fe"},{"key":"ref11","first-page":"4171","article-title":"Bert: Pretraining of deep bidirectional transformers for language understanding","volume-title":"Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)","author":"Devlin"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-025-03982-3"},{"key":"ref13","author":"Dosovitskiy","year":"2020","journal-title":"An image is worth 16x16 words: Transformers for image recognition at scale"},{"key":"ref14","first-page":"12345","article-title":"Agree to disagree: Adaptive ensemble knowledge distillation in gradient space","volume":"33","author":"Du","year":"2020","journal-title":"advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-32095-8_3"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM62325.2024.10822552"},{"key":"ref17","first-page":"2023","article-title":"Scaling self-supervised learning for histopathology with masked image modeling","author":"Filiot","year":"2023","journal-title":"MedRxiv"},{"key":"ref18","author":"Filiot","year":"2024","journal-title":"Phikon-v2, a large and public feature extractor for biomarker prediction"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105151"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.266"},{"key":"ref23","author":"Hu","year":"2023","journal-title":"Teacher-student architecture for knowledge distillation: A survey"},{"key":"ref24","first-page":"2127","article-title":"Attention-based deep multiple instance learning","volume-title":"International conference on machine learning","author":"Ilse"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00326"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054698"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01409"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-020-00682-w"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-024-02856-4"},{"key":"ref31","author":"Ma","year":"2024","journal-title":"Towards a generalizable pathology foundation model via unified knowledge distillation"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16449-1_29"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s12672-025-01973-x"},{"key":"ref34","author":"Mansourian","year":"2025","journal-title":"A comprehensive survey on knowledge distillation"},{"key":"ref35","author":"Nechaev","year":"2024","journal-title":"Hibou: A family of foundational vision transformers for pathology"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-025-01516-3"},{"key":"ref37","author":"Oquab","year":"2023","journal-title":"Dinov2: Learning robust visual features without supervision"},{"key":"ref38","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"International conference on machine learning","author":"Radford"},{"key":"ref39","first-page":"12490","article-title":"Amradio: Agglomerative vision foundation model reduce all domains into one","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Ranzinger"},{"key":"ref40","author":"Romero","year":"2014","journal-title":"Fitnets: Hints for thin deep nets"},{"key":"ref41","author":"Saillard","year":"2024","journal-title":"H-optimus-0"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102464"},{"key":"ref43","author":"Shaikovski","year":"2024","journal-title":"Prism: A multi-modal generative foundation model for slide-level histopathology"},{"key":"ref44","first-page":"2136","article-title":"Transmil: Transformer based correlated multiple instance learning for whole slide image classification","volume":"34","author":"Shao","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19803-8_41"},{"key":"ref46","author":"Vaidya","year":"2025","journal-title":"Molecular-driven foundation model for oncologic pathology"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102559"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-024-07894-z"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1038\/ng.2764"},{"key":"ref50","volume":"2024","author":"W\u00f6lflein","year":"2024","journal-title":"Benchmarking pathology feature extractors for whole slide image classification"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-024-07441-w"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10283-5"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098135"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451551"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747534"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3390\/app14051956"},{"key":"ref57","author":"Zimmermann","year":"2024","journal-title":"Virchow2: Scaling self-supervised mixed magnification models in pathology"}],"event":{"name":"2026 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)","location":"Tucson, AZ, USA","start":{"date-parts":[[2026,3,6]]},"end":{"date-parts":[[2026,3,10]]}},"container-title":["2026 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11491838\/11491925\/11492600.pdf?arnumber=11492600","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T06:17:34Z","timestamp":1778048254000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11492600\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,6]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/wacv61042.2026.00331","relation":{},"subject":[],"published":{"date-parts":[[2026,3,6]]}}}