Search Results - "Ntelemis, Foivos"

Information maximization clustering via multi-view self-labelling by Ntelemis, Foivos, Jin, Yaochu, Thomas, Spencer A.

“…Image clustering is a particularly challenging computer vision task, which aims to generate annotations without human supervision. Recent advances focus on the…”
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A Generic Self-Supervised Framework of Learning Invariant Discriminative Features by Ntelemis, Foivos, Jin, Yaochu, Thomas, Spencer A.

“…Self-supervised learning (SSL) has become a popular method for generating invariant representations without the need for human annotations. Nonetheless, the…”
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Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization by Ntelemis, Foivos, Jin, Yaochu, Thomas, Spencer A.

“…Image clustering has recently attracted significant attention due to the increased availability of unlabeled datasets. The efficiency of traditional clustering…”
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A blind validation of a deep-learning solution providing HER2, ER, and PR results from H&E-stained breast cancer specimens by Walsh, Elizabeth, Arslan, Salim, Geraldes, Andre, Hanby, Andrew, Millican-Slater, Rebecca, Bennett, Nicholas, Mistry, Bejal, Schmidt, Julian, Wolf, Steffen, Bass, Cher, Ntelemis, Foivos, Kumar, Naren, Pandya, Pahini, Orsi, Nicolas M.

“…562 Background: Newly diagnosed breast cancer specimens are routinely tested for oestrogen receptor (ER), progesterone receptor (PR) and human epidermal growth…”
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Abstract PO3-07-05: Multi-site validation of a deep learning solution for ER/PR profiling of breast cancer from H&E-stained pathology slides by Arslan, Salim, Bazaga, Adrian, Bryson, Gareth, Carlos, Oscar, Geraldes, Andre, Harrison, David, Ironside, Alastair, Kather, Jakob, Khurram, Ali, Leff, David, Mehrotra, Debapriya, Ntelemis, Foivos, Nyonyintono, John, Schmidt, Julian, Singhal, Shikha, Um, In Hwa, Wolf, Steffen, Pandya, Pahini

“…Background: Molecular profiling of estrogen and progesterone receptors (ER/PR/Her2) is performed for all malignant breast cancers to inform the choice of…”
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A Generic Self-Supervised Framework of Learning Invariant Discriminative Features by Ntelemis, Foivos, Jin, Yaochu, Thomas, Spencer A

“…Self-supervised learning (SSL) has become a popular method for generating invariant representations without the need for human annotations. Nonetheless, the…”
Get full text

Information Maximization Clustering via Multi-View Self-Labelling by Ntelemis, Foivos, Jin, Yaochu, Thomas, Spencer A

“…Image clustering is a particularly challenging computer vision task, which aims to generate annotations without human supervision. Recent advances focus on the…”
Get full text

Image Clustering using an Augmented Generative Adversarial Network and Information Maximization by Ntelemis, Foivos, Jin, Yaochu, Thomas, Spencer A

“…Image clustering has recently attracted significant attention due to the increased availability of unlabelled datasets. The efficiency of traditional…”
Get full text