Scholar
Aasa Feragen
Google Scholar ID: MNDVpoUAAAAJ
Professor, DTU Compute
Machine learning
medical imaging
geometric modelling
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Citations & Impact
All-time
Citations
1,653
H-index
21
i10-index
42
Publications
20
Co-authors
77
list available
Publications
18 items
Is invariance all you need for algorithmic fairness? Removing demographic information can create new bias
2026
Cited
0
False Confidence: Automated Labels Confound Fairness Audits in Cervical Spine Segmentation
2026
Cited
0
Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation
2026
Cited
0
A Framework for Exploring and Disentangling Intersectional Bias: A Case Study in Fetal Ultrasound
2026
Cited
0
Fair Lung Disease Diagnosis from Chest CT via Gender-Adversarial Attention Multiple Instance Learning
2026
Cited
0
Measuring What VLMs Don't Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation
2026
Cited
0
Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models
2025
Cited
0
Investigating Label Bias and Representational Sources of Age-Related Disparities in Medical Segmentation
2025
Cited
0
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Co-authors
9 total
Mads Nielsen
Professor of Computer Science, University of Copenhagen
Marleen de Bruijne
Professor of AI in Medical Image Analysis; Erasmus MC Rotterdam and University of Copenhagen
Søren Hauberg
Cognitive Systems, DTU Compute, Technical University of Denmark
Jens Petersen
Computer Science, University of Copenhagen
Martin G. Tolsgaard, PhD DMSc
Professor, Copenhagen University Hospital Rigshospitalet and CAMES
Anders Nymark Christensen
Associate Professor - Technical University of Denmark
Oswin Krause
Department of Computer Science, University of Copenhagen
Melanie Ganz
Department of Computer Science, University of Copenhagen
