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Adalberto Claudio

As seen in: arXiv
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Articles by Adalberto Claudio

Computer Science > Machine Learning

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By Adalberto Claudio, Nicolas Gaston
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Computer Science > Artificial Intelligence

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By Adalberto Claudio
| arXiv
[Submitted on 30 Jul 2026] Title:MUL-T: Decoding Spatial Cellular Architecture in Multiplexed Tissue Images View a PDF of the paper titled MUL-T: Decoding Spatial Cellular Architecture in Multiplexed Tissue Images, by Farzaneh Seyedshahi and 4 other authors View PDF HTML (experimental) Abstract:Understanding tissue organisation in multiplexed imaging requires modelling both cellular phenotypes and their spatial context.
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Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides

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By Adalberto Claudio, Le Quesne
| gla.ac.uk
Quiros, A. C. et al. (2024) Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides. Nature Communications, 15, 4596. (doi: 10.1038/s41467-024-48666-7) (PMID:38862472) Text 325905.pdf - Published Version Available under License Creative Commons Attribution.
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[2205.01931] Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides

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By John Le Verified, Adalberto Claudio
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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