Deep learning‐based image analysis reveals significant differences in the number and distribution of mucosal CD3 and γδ T cells between Crohn's disease and ulcerative colitis von Røyset, Elin Synnøve, Sahlin Pettersen, Henrik P, Xu, Weili, Larbi, Anis, Sandvik, Arne K, Steigen, Sonja E, Catalan‐Serra, Ignacio, Bakke, Ingunn

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H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images von Pedersen, André, Smistad, Erik, Rise, Tor V., Dale, Vibeke G., Pettersen, Henrik S., Nordmo, Tor-Arne S., Bouget, David, Reinertsen, Ingerid, Valla, Marit

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H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images von Pedersen, André, Smistad, Erik, Rise, Tor Vikan, Dale, Vibeke Grotnes, Pettersen, Henrik P Sahlin, Nordmo, Tor-Arne Schmidt, Bouget, David Nicolas Jean-Mar, Reinertsen, Ingerid, Valla, Marit

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Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology von Pettersen, Henrik P Sahlin, Belevich, Ilya, Røyset, Elin Synnøve, Smistad, Erik, Simpson, Melanie Rae, Jokitalo, Eija, Reinertsen, Ingerid, Bakke, Ingunn, Pedersen, André

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Visual and digital assessment of Ki-67 in breast cancer tissue - a comparison of methods von Skjervold, Anette Hansen, Pettersen, Henrik P Sahlin, Valla, Marit, Opdahl, Signe, Bofin, Anna Mary

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Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology von Pettersen, Henrik P Sahlin, Belevich, Ilya, Røyset, Elin Synnøve, Smistad, Erik, Simpson, Melanie Rae, Jokitalo, Eija, Reinertsen, Ingerid, Bakke, Ingunn, Pedersen, André

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H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images von Pedersen, André, Smistad, Erik, Rise, Tor Vikan, Dale, Vibeke Grotnes, Pettersen, Henrik P Sahlin, Nordmo, Tor-Arne Schmidt, Bouget, David Nicolas Jean-Mar, Reinertsen, Ingerid, Valla, Marit

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Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology von Pettersen, Henrik P Sahlin, Belevich, Ilya, Røyset, Elin Synnøve, Smistad, Erik, Simpson, Melanie Rae, Jokitalo, Eija, Reinertsen, Ingerid, Bakke, Ingunn, Pedersen, André

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H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images von Pedersen, André, Smistad, Erik, Rise, Tor Vikan, Dale, Vibeke Grotnes, Pettersen, Henrik P Sahlin, Nordmo, Tor-Arne Schmidt, Bouget, David Nicolas Jean-Mar, Reinertsen, Ingerid, Valla, Marit

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AID expression in B-cell lymphomas causes accumulation of genomic uracil and a distinct AID mutational signature von Pettersen, Henrik Sahlin, Galashevskaya, Anastasia, Doseth, Berit, Sousa, Mirta M.L., Sarno, Antonio, Visnes, Torkild, Aas, Per Arne, Liabakk, Nina-Beate, Slupphaug, Geir, Sætrom, Pål, Kavli, Bodil, Krokan, Hans E.

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