People
Aasa Feragen
Contact
Collaboratory
Website
Aasa's P1 Publications
Semantic similarity metrics for image registration
Steffen Czolbe, Paraskevas Pegios, Oswin Krause, Aasa Feragen
Populations of unlabelled networks: Graph space geometry and generalized geodesic principal components
Anna Calissano, Aasa Feragen, Simone Vantini
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
Bias in context: What to do when complete bias removal is not an option
Sune H. Holm, Eike Petersen, Melanie Ganz-Benjaminsen, Aasa Feragen
Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis?
Nina Weng, Siavash Bigdeli, Eike Petersen, 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
On (assessing) the fairness of risk score models
Eike Petersen, Melanie Ganz-Benjaminsen, Sune H. Holm, Aasa Feragen
Graph-valued regression: Prediction of unlabelled networks in a non-Euclidean graph space
Anna Calissano, Aasa Feragen, Simone Vantini
Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy
Kasra Arnavaz, Oswin Krause, Kilian Zepf, Jakob A. Bærentzen, Jelena M. Krivokapic, Silja Heilmann, Pia Nyeng, Aasa Freagen
Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer’s Disease Detection
Eike Petersen, Aasa Feragen, Maria L. da C. Zemsch, Anders Henriksen, Oskar E. W. Christensen, Melanie Ganz
DiffConv: Analyzing Irregular Point Clouds with an Irregular View
Manxi Lin, Aasa Feragen
The path toward equal performance in medical machine learning
Eike Petersen, Sune H. Holm, Melanie Ganz-Benjaminsen, Aasa Feragen
Assessing Bias in Medical AI
Melanie Ganz, Sune H. Holm, Aasa Feragen