Cell Painting-based bioactivity prediction boosts high-throughput screening hit-rates and compound diversity von Fredin Haslum, Johan, Lardeau, Charles-Hugues, Karlsson, Johan, Turkki, Riku, Leuchowius, Karl-Johan, Smith, Kevin, Müllers, Erik

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Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation von Haslum, Johan Fredin, Matsoukas, Christos, Leuchowius, Karl-Johan, Smith, Kevin

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Are Natural Domain Foundation Models Useful for Medical Image Classification? von Huix, Joana Palés, Ganeshan, Adithya Raju, Haslum, Johan Fredin, Söderberg, Magnus, Matsoukas, Christos, Smith, Kevin

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Is it Time to Replace CNNs with Transformers for Medical Images? von Matsoukas, Christos, Haslum, Johan Fredin, Söderberg, Magnus, Smith, Kevin

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Metadata-guided Consistency Learning for High Content Images von Haslum, Johan Fredin, Matsoukas, Christos, Leuchowius, Karl-Johan, Müllers, Erik, Smith, Kevin

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What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors von Matsoukas, Christos, Haslum, Johan Fredin, Sorkhei, Moein, Söderberg, Magnus, Smith, Kevin

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Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation von Johan Fredin Haslum, Matsoukas, Christos, Karl-Johan Leuchowius, Smith, Kevin

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Pretrained ViTs Yield Versatile Representations For Medical Images von Matsoukas, Christos, Johan Fredin Haslum, Sorkhei, Moein, Söderberg, Magnus, Smith, Kevin

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Are Natural Domain Foundation Models Useful for Medical Image Classification? von Huix, Joana Palés, Adithya Raju Ganeshan, Johan Fredin Haslum, Söderberg, Magnus, Matsoukas, Christos, Smith, Kevin

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Metadata-guided Consistency Learning for High Content Images von Johan Fredin Haslum, Matsoukas, Christos, Karl-Johan Leuchowius, Müllers, Erik, Smith, Kevin

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Is it Time to Replace CNNs with Transformers for Medical Images? von Matsoukas, Christos, Johan Fredin Haslum, Söderberg, Magnus, Smith, Kevin

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Pretrained ViTs Yield Versatile Representations For Medical Images von Matsoukas, Christos, Haslum, Johan Fredin, Sorkhei, Moein, Söderberg, Magnus, Smith, Kevin

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Adding Seemingly Uninformative Labels Helps in Low Data Regimes von Matsoukas, Christos, Hernandez, Albert Bou I, Liu, Yue, Dembrower, Karin, Miranda, Gisele, Konuk, Emir, Haslum, Johan Fredin, Zouzos, Athanasios, Lindholm, Peter, Strand, Fredrik, Smith, Kevin

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What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors von Matsoukas, Christos, Johan Fredin Haslum, Sorkhei, Moein, Söderberg, Magnus, Smith, Kevin

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Adding Seemingly Uninformative Labels Helps in Low Data Regimes von Matsoukas, Christos, Albert Bou I Hernandez, Liu, Yue, Dembrower, Karin, Miranda, Gisele, Konuk, Emir, Johan Fredin Haslum, Zouzos, Athanasios, Lindholm, Peter, Strand, Fredrik, Smith, Kevin

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