Aasa Feragen

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 61

Top Topics

Image Segmentation

Riemannian Metric

Similarity Metric

Gaussian Process

Top Venues

Publications

Kilian Zepf, Jes Frellsen, Aasa Feragen
Navigating Uncertainty in Medical Image Segmentation. CoRR (2024)
Manxi Lin, Nina Weng, Kamil Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
Shortcut Learning in Medical Image Segmentation. CoRR (2024)
Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. CoRR (2024)
Manxi Lin, Jakob Ambsdorf, Emilie Pi Fogtmann Sejer, Zahra Bashir, Chun Kit Wong, Paraskevas Pegios, Alberto Raheli, Morten Bo Søndergaard Svendsen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
Learning semantic image quality for fetal ultrasound from noisy ranking annotation. CoRR (2024)
Vincent Olesen, Nina Weng, Aasa Feragen, Eike Petersen
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods. CoRR (2024)
Tiantian Zhang, Manxi Lin, Hongda Guo, Xiaofan Zhang, Ka Fung Peter Chiu, Aasa Feragen, Qi Dou
Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring. CoRR (2024)
Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen
Interpreting Equivariant Representations. CoRR (2024)
Chun Kit Wong, Mary Ngo, Manxi Lin, Zahra Bashir, Amihai Heen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound. CoRR (2024)
Sara Sterlie, Nina Weng, Aasa Feragen
Non-discrimination Criteria for Generative Language Models. CoRR (2024)
Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Mads Nielsen, Eike Petersen, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. ASMUS@MICCAI (2023)
Nina Weng, Siavash Bigdeli, Eike Petersen, Aasa Feragen
Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis? CoRR (2023)
Nina Weng, Siavash Bigdeli, Eike Petersen, Aasa Feragen
Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis? CLIP/FAIMI/EPIMI@MICCAI (2023)
Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Aasa Feragen, Frederik Warburg
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty. CoRR (2023)
Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen
An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. ASMUS@MICCAI (2023)
Nina Weng, Paraskevas Pegios, Aasa Feragen, Eike Petersen, Siavash Bigdeli
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation. CoRR (2023)
Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen
An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. CoRR (2023)
Manxi Lin, Kilian Zepf, Anders Nymark Christensen, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. IPMI (2023)
Eike Petersen, Sune Hannibal Holm, Melanie Ganz, Aasa Feragen
The path toward equal performance in medical machine learning. Patterns 4 (7) (2023)
Kilian Zepf, Eike Petersen, Jes Frellsen, Aasa Feragen
That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation. CoRR (2023)
Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen
On (assessing) the fairness of risk score models. FAccT (2023)
Eike Petersen, Enzo Ferrante, Melanie Ganz, Aasa Feragen
Are demographically invariant models and representations in medical imaging fair? CoRR (2023)
Steffen Czolbe, Paraskevas Pegios, Oswin Krause, Aasa Feragen
Semantic similarity metrics for image registration. Medical Image Anal. 87 (2023)
Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR (2023)
Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen
On (assessing) the fairness of risk score models. CoRR (2023)
Kilian Zepf, Eike Petersen, Jes Frellsen, Aasa Feragen
That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation. ICLR (2023)
Kamil Mikolaj, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
Removing confounding information from fetal ultrasound images. CoRR (2023)
Manxi Lin, Aasa Feragen, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen
I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks. CoRR (2022)
Manxi Lin, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. CoRR (2022)
Eike Petersen, Aasa Feragen, Maria Luise da Costa Zemsch, Anders Henriksen, Oskar Eiler Wiese Christensen, Melanie Ganz
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection. CoRR (2022)
Anna Calissano, Aasa Feragen, Simone Vantini
Graph-valued regression: Prediction of unlabelled networks in a non-Euclidean graph space. J. Multivar. Anal. 190 (2022)
Manxi Lin, Aasa Feragen
DiffConv: Analyzing Irregular Point Clouds with an Irregular View. ECCV (3) (2022)
Eike Petersen, Aasa Feragen, Maria Luise da Costa Zemsch, Anders Henriksen, Oskar Eiler Wiese Christensen, Melanie Ganz
Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer's Disease Detection. MICCAI (1) (2022)
Steffen Czolbe, Aasa Feragen, Oswin Krause
Spot the Difference: Detection of Topological Changes via Geometric Alignment. NeurIPS (2021)
Steffen Czolbe, Aasa Feragen, Oswin Krause
Spot the Difference: Topological Anomaly Detection via Geometric Alignment. CoRR (2021)
Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen
Is Segmentation Uncertainty Useful? IPMI (2021)
Guan Wang, François Bernard Lauze, Aasa Feragen
Graph2Graph Learning with Conditional Autoregressive Models. CoRR (2021)
Magnus Herberthson, Deneb Boito, Tom C. J. Dela Haije, Aasa Feragen, Carl-Fredrik Westin, Evren Özarslan
. NeuroImage 238 (2021)
Manxi Lin, Aasa Feragen
diffConv: Analyzing Irregular Point Clouds with an Irregular View. CoRR (2021)
Kasra Arnavaz, Oswin Krause, Jelena M. Krivokapic, Silja Heilmann, Jakob Andreas Bærentzen, Pia Nyeng, Aasa Feragen
Semi-supervised, Topology-Aware Segmentation of Tubular Structures from Live Imaging 3D Microscopy. CoRR (2021)
Steffen Czolbe, Oswin Krause, Aasa Feragen
Semantic similarity metrics for learned image registration. CoRR (2021)
Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen
Is segmentation uncertainty useful? CoRR (2021)
Steffen Czolbe, Oswin Krause, Aasa Feragen
Semantic similarity metrics for learned image registration. MIDL (2021)
Tom C. J. Dela Haije, Evren Özarslan, Aasa Feragen
Enforcing necessary non-negativity constraints for common diffusion MRI models using sum of squares programming. NeuroImage 209 (2020)
Kasra Arnavaz, Aasa Feragen, Oswin Krause, Marco Loog
Bayesian Active Learning for Maximal Information Gain on Model Parameters. ICPR (2020)
Steffen Czolbe, Oswin Krause, Aasa Feragen
DeepSim: Semantic similarity metrics for learned image registration. CoRR (2020)
M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren
Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. CoRR (2019)
Rune Kok Nielsen, Sune Darkner, Aasa Feragen
TopAwaRe: Topology-Aware Registration. MICCAI (2) (2019)
Anton Mallasto, Tom C. J. Dela Haije, Aasa Feragen
A Formalization of The Natural Gradient Method for General Similarity Measures. CoRR (2019)
Anton Mallasto, Søren Hauberg, Aasa Feragen
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models. AISTATS (2019)
Helene Svane, Aasa Feragen
Reconstructing Objects from Noisy Images at Low Resolution. GbRPR (2019)
Anton Mallasto, Jes Frellsen, Wouter Boomsma, Aasa Feragen
(q, p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs. CoRR (2019)
Anton Mallasto, Tom C. J. Dela Haije, Aasa Feragen
A Formalization of the Natural Gradient Method for General Similarity Measures. GSI (2019)
Rune Kok Nielsen, Andreas Nugaard Holm, Aasa Feragen
Learning from graphs with structural variation. CoRR (2018)
Anton Mallasto, Aasa Feragen
Wrapped Gaussian Process Regression on Riemannian Manifolds. CVPR (2018)
Anton Mallasto, Søren Hauberg, Aasa Feragen
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models. CoRR (2018)
Anton Mallasto, Aasa Feragen
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes. NIPS (2017)
Niklas Kasenburg, Sune Darkner, Ute Hahn, Matthew G. Liptrot, Aasa Feragen
Structural parcellation of the thalamus using shortest-path tractography. ISBI (2016)
Aasa Feragen, Søren Hauberg
Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel? COLT (2016)
Søren Hauberg, Aasa Feragen, Raffi Enficiaud, Michael J. Black
Scalable Robust Principal Component Analysis Using Grassmann Averages. IEEE Trans. Pattern Anal. Mach. Intell. 38 (11) (2016)
Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Ellen Garde, Mads Nielsen, Aasa Feragen
Supervised hub-detection for brain connectivity. Medical Imaging: Image Processing (2016)
Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Silas N. Ørting, Mads Nielsen, Ellen Garde, Aasa Feragen
Training shortest-path tractography: Automatic learning of spatial priors. NeuroImage 130 (2016)
Aasa Feragen, François Lauze, Søren Hauberg
Geodesic exponential kernels: When curvature and linearity conflict. CVPR (2015)
Søren Hauberg, Michael Schober, Matthew G. Liptrot, Philipp Hennig, Aasa Feragen
A Random Riemannian Metric for Probabilistic Shortest-Path Tractography. MICCAI (1) (2015)
Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura Hohwu Thomsen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne
Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT. IEEE Trans. Medical Imaging 34 (6) (2015)
Veronika Cheplygina, David M. J. Tax, Marco Loog, Aasa Feragen
Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder. MLMI (2014)
Søren Hauberg, Aasa Feragen, Michael J. Black
Grassmann Averages for Scalable Robust PCA. CVPR (2014)
Michael Schober, Niklas Kasenburg, Aasa Feragen, Philipp Hennig, Søren Hauberg
Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers. MICCAI (3) (2014)
Aasa Feragen, François Lauze, Søren Hauberg
Geodesic Exponential Kernels: When Curvature and Linearity Conflict. CoRR (2014)
Aasa Feragen, Mads Nielsen, Eva Bjørn Vedel Jensen, Andrew du Plessis, François Lauze
Geometry and Statistics: Manifolds and Stratified Spaces. J. Math. Imaging Vis. 50 (1-2) (2014)
Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne
Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry. IPMI (2013)
Aasa Feragen, Megan Owen, Jens Petersen, Mathilde M. W. Wille, Laura H. Thomsen, Asger Dirksen, Marleen de Bruijne
Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees. IPMI (2013)
Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten M. Borgwardt
Scalable kernels for graphs with continuous attributes. NIPS (2013)
Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze
Toward a Theory of Statistical Tree-Shape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35 (8) (2013)
Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne
Geometric tree kernels: Classification of COPD from airway tree geometry CoRR (2013)
Aasa Feragen
Complexity of Computing Distances between Geometric Trees. SSPR/SPR (2012)
Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze
Towards a theory of statistical tree-shape analysis CoRR (2012)
Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura H. Thomsen, Mathilde M. W. Wille, Asger Dirksen, Marleen de Bruijne
A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees. MICCAI (3) (2012)
C. Chen, Lauge Sørensen, François Lauze, Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, Mads Nielsen
Towards exaggerated emphysema stereotypes. Medical Imaging: Computer-Aided Diagnosis (2012)
Aasa Feragen, Søren Hauberg, Mads Nielsen, François Lauze
Means in spaces of tree-like shapes. ICCV (2011)
Chen Chen, François Lauze, Christian Igel, Aasa Feragen, Marco Loog, Mads Nielsen
Towards exaggerated image stereotypes. ACPR (2011)
Aasa Feragen, François Lauze, Mads Nielsen
Fundamental Geodesic Deformations in Spaces of Treelike Shapes. ICPR (2010)
Aasa Feragen, François Lauze, Pechin Lo, Marleen de Bruijne, Mads Nielsen
Geometries on Spaces of Treelike Shapes. ACCV (2) (2010)