People

Aasa Feragen

P1 Collaboratory Co-Lead and Professor, Technical University of Denmark

DTU Compute

Aasa's P1 Publications

Medical Image Computing and Computer Assisted Intervention–MICCAI 2024 (Proceedings – Editor)

Marius G. Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel

Ethics and Fairness in Medical Imaging (Proceedings – Editor)
Esther Puyol-Antón, Ghada Zamzmi, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Eike Petersen, John S. H. Baxter, Islem Rekik, Roy Eagleson
Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models
Markus D. S. Olsen, Jakob Ambsdorf, Manxi Lin, Caroline Taksøe-Vester, Morten B. S. Svendsen, Anders N. Christensen, Mads Nielsen, Martin G. Tolsgaard, Aasa Feragen, Paraskevas Pegios
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods
Vincent Olesen, Nina Weng, Aasa Feragen, Eike Petersen
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
Navigating Uncertainty in Medical Image Segmentation
Kilian Zepf, Jes Frellsen, Aasa Feragen
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
Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen
Interpreting Equivariant Representations
Andreas A. Hansen, Anna Calissano, Aasa Feragen
Incorporating Clinical Guidelines Through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
Tiantian Zhang, Manxi Lin, Hongda Guo, Xiaofan Zhang, Ka F. P. Chiu, Aasa Feragen, Qi Dou
Fast diffusion-based counterfactuals for shortcut removal and generation
Nina Weng, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Bigdeli
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
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-Benjaminsen
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

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People

Aasa Feragen

P1 Collaboratory Co-Lead and Professor, Technical University of Denmark

DTU Compute

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Causality and explainability

Aasa's P1 Publications

Medical Image Computing and Computer Assisted Intervention–MICCAI 2024 (Proceedings – Editor)

Ethics and Fairness in Medical Imaging (Proceedings – Editor)

Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models

Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods

Shortcut learning in medical image segmentation

Role of artificial-intelligence-assisted automated cardiac biometrics in prenatal screening for coarctation of aorta

Navigating Uncertainty in Medical Image Segmentation

Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

Interpreting Equivariant Representations

Incorporating Clinical Guidelines Through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

Fast diffusion-based counterfactuals for shortcut removal and generation

AI supported fetal echocardiography with quality assessment

Semantic similarity metrics for image registration

Populations of unlabelled networks: Graph space geometry and generalized geodesic principal components

DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation

Bias in context: What to do when complete bias removal is not an option

Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis?

Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction

On (assessing) the fairness of risk score models

Graph-valued regression: Prediction of unlabelled networks in a non-Euclidean graph space

Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy

Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer’s Disease Detection

DiffConv: Analyzing Irregular Point Clouds with an Irregular View

The path toward equal performance in medical machine learning

Assessing Bias in Medical AI