Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization von Andreasen, Lisbeth Anita, Feragen, Aasa, Christensen, Anders Nymark, Thybo, Jonathan Kistrup, Svendsen, Morten Bo S., Zepf, Kilian, Lekadir, Karim, Tolsgaard, Martin Grønnebæk

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Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification von Zepf, Kilian, Wanna, Selma, Miani, Marco, Moore, Juston, Frellsen, Jes, Hauberg, Søren, Warburg, Frederik, Feragen, Aasa

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DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation von Lin, Manxi, Zepf, Kilian, Christensen, Anders Nymark, Bashir, Zahra, Svendsen, Morten Bo Søndergaard, Tolsgaard, Martin, Feragen, Aasa

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Navigating Uncertainty in Medical Image Segmentation von Zepf, Kilian, Frellsen, Jes, Feragen, Aasa

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That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation von Zepf, Kilian, Petersen, Eike, Frellsen, Jes, Feragen, Aasa

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Navigating Uncertainty in Medical Image Segmentation von Zepf, Kilian, Frellsen, Jes, Feragen, Aasa

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Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification von Zepf, Kilian, Wanna, Selma, Miani, Marco, Moore, Juston, Frellsen, Jes, Hauberg, Søren, Warburg, Frederik, Feragen, Aasa

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That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation von Zepf, Kilian, Petersen, Eike, Frellsen, Jes, Feragen, Aasa

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Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy von Arnavaz, Kasra, Krause, Oswin, Zepf, Kilian, Krivokapic, Jelena M, Heilmann, Silja, Jakob Andreas Bærentzen, Nyeng, Pia, Feragen, Aasa

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Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification von Zepf, Kilian, Wanna, Selma, Miani, Marco, Moore, Juston, Frellsen, Jes, Hauberg, Søren, Warburg, Frederik, Feragen, Aasa

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