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Martin Grønnebæk Tolsgaard
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Shortcut learning in medical image segmentation
Manxi Lin, Nina Weng, Kamil Mikolaj, Zahra Bashir, Morten B. S. Svendsen, Martin G. Tolsgaard, Anders N. Christensen, Aasa Feragen
Role of artificial-intelligence-assisted automated cardiac biometrics in prenatal screening for coarctation of aorta
Caroline A. Taksøe-Vester, Kamil Mikolaj, Olav B. B. Petersen, Niels G. Vejlstrup, Anders N. Christensen, Aasa Feragen, Mads Nielsen, Morten B. S. Svendsen, Martin G. Tolsgaard
Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation
Manxi Lin, Jakob Ambsdorf, Emilie P. F. Sejer, Zahra Bashir, Chun K. Wong, Paraskevas Pegios, Alberto Raheli, Morten B. S. Svendsen, Mads Nielsen, Martin G. Tolsgaard, Anders N. Christensen, Aasa Feragen
AI supported fetal echocardiography with quality assessment
Caroline A. Taksoee-Vester, Kamil Mikolaj, Zahra Bashir, Anders N. Christensen, Olav B. Petersen, Karin Sundberg, Aasa Feragen, Morten B. S. Svendsen, Mads Nielsen, Martin G. Tolsgaard
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation
Manxi Lin, Kilian Zepf, Anders N. Christensen, Zahra Bashir, Morten B. S. Svendsen, Martin Tolsgaard, Aasa Feragen
Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction
Paraskevas Pegios, Emilie P. F. Sejer, Manxi Lin, Zahra Bashir, Morten B. S. Svendsen, Mads Nielsen, Eike Petersen, Anders N. Christensen, Martin Tolsgaard, Aasa Feragen
Using machine learning to identify quality-of-care predictors for emergency caesarean sections: a retrospective cohort study
Betina R. Andersen, Ida Ammitzbøll, Jesper Hinrich, Sune Lehmann J., Charlotte V. Ringsted, Ellen C. L. Løkkegaard, Martin G. Tolsgaard