Aasa Feragen

According to our database, Aasa Feragen authored at least 72 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound.

Chun Kit Wong, Mary Ngo, Manxi Lin, Zahra Bashir, Amihai Heen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen

CoRR, 2024

Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment.

Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen

CoRR, 2024

Non-discrimination Criteria for Generative Language Models.

Sara Sterlie, Nina Weng, Aasa Feragen

CoRR, 2024

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 Fung Peter Chiu, Aasa Feragen, Qi Dou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification.

Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models.

Markus Ditlev Sjøgren Olsen, Jakob Ambsdorf, Manxi Lin, Caroline Taksøe-Vester, Morten Bo Søndergaard Svendsen, Anders Nymark Christensen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Paraskevas Pegios

Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

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

Vincent Olesen, Nina Weng, Aasa Feragen, Eike Petersen

Proceedings of the Ethics and Fairness in Medical Imaging, 2024

Shortcut Learning in Medical Image Segmentation.

Manxi Lin, Nina Weng, Kamil Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Navigating Uncertainty in Medical Image Segmentation.

Kilian Zepf, Jes Frellsen, Aasa Feragen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation.

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Interpreting Equivariant Representations.

Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation.

Nina Weng, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Bigdeli

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

The path toward equal performance in medical machine learning.

Eike Petersen, Sune Hannibal Holm, Melanie Ganz, Aasa Feragen

Patterns, July, 2023

Semantic similarity metrics for image registration.

Steffen Czolbe, Paraskevas Pegios, Oswin Krause, Aasa Feragen

Medical Image Anal., 2023

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.

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.

CoRR, 2023

Are demographically invariant models and representations in medical imaging fair?

Eike Petersen, Enzo Ferrante, Melanie Ganz, Aasa Feragen

CoRR, 2023

Removing confounding information from fetal ultrasound images.

Kamil Mikolaj, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen

CoRR, 2023

Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty.

Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Aasa Feragen, Frederik Warburg

CoRR, 2023

An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery.

Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen

Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction.

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

Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation.

Manxi Lin, Kilian Zepf, Anders Nymark Christensen, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen

Proceedings of the Information Processing in Medical Imaging, 2023

That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation.

Kilian Zepf, Eike Petersen, Jes Frellsen, Aasa Feragen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On (assessing) the fairness of risk score models.

Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

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

Nina Weng, Siavash Bigdeli, Eike Petersen, Aasa Feragen

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

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

Anna Calissano, Aasa Feragen, Simone Vantini

J. Multivar. Anal., 2022

I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks.

Manxi Lin, Aasa Feragen, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen

CoRR, 2022

DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation.

Manxi Lin, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen

CoRR, 2022

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

Eike Petersen, Aasa Feragen, Maria Luise da Costa Zemsch, Anders Henriksen, Oskar Eiler Wiese Christensen, Melanie Ganz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

DiffConv: Analyzing Irregular Point Clouds with an Irregular View.

Manxi Lin, Aasa Feragen

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

^Q-^s^{pace trajectory imaging with positivity constraints (QTI+)}.

Magnus Herberthson, Deneb Boito, Tom C. J. Dela Haije, Aasa Feragen, Carl-Fredrik Westin, Evren Özarslan

NeuroImage, 2021

Spot the Difference: Topological Anomaly Detection via Geometric Alignment.

Steffen Czolbe, Aasa Feragen, Oswin Krause

CoRR, 2021

Graph2Graph Learning with Conditional Autoregressive Models.

Guan Wang, François Bernard Lauze, Aasa Feragen

CoRR, 2021

Semi-supervised, Topology-Aware Segmentation of Tubular Structures from Live Imaging 3D Microscopy.

Kasra Arnavaz, Oswin Krause, Jelena M. Krivokapic, Silja Heilmann, Jakob Andreas Bærentzen, Pia Nyeng, Aasa Feragen

CoRR, 2021

Spot the Difference: Detection of Topological Changes via Geometric Alignment.

Steffen Czolbe, Aasa Feragen, Oswin Krause

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Semantic similarity metrics for learned image registration.

Steffen Czolbe, Oswin Krause, Aasa Feragen

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Is Segmentation Uncertainty Useful?

Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen

Proceedings of the Information Processing in Medical Imaging, 2021

2020

Enforcing necessary non-negativity constraints for common diffusion MRI models using sum of squares programming.

Tom C. J. Dela Haije, Evren Özarslan, Aasa Feragen

NeuroImage, 2020

DeepSim: Semantic similarity metrics for learned image registration.

Steffen Czolbe, Oswin Krause, Aasa Feragen

CoRR, 2020

Bayesian Active Learning for Maximal Information Gain on Model Parameters.

Kasra Arnavaz, Aasa Feragen, Oswin Krause, Marco Loog

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track.

M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren

CoRR, 2019

(q, p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs.

Anton Mallasto, Jes Frellsen, Wouter Boomsma, Aasa Feragen

CoRR, 2019

TopAwaRe: Topology-Aware Registration.

Rune Kok Nielsen, Sune Darkner, Aasa Feragen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Formalization of the Natural Gradient Method for General Similarity Measures.

Anton Mallasto, Tom C. J. Dela Haije, Aasa Feragen

Proceedings of the Geometric Science of Information - 4th International Conference, 2019

Reconstructing Objects from Noisy Images at Low Resolution.

Helene Svane, Aasa Feragen

Proceedings of the Graph-Based Representations in Pattern Recognition, 2019

Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models.

Anton Mallasto, Søren Hauberg, Aasa Feragen

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Learning from graphs with structural variation.

Rune Kok Nielsen, Andreas Nugaard Holm, Aasa Feragen

CoRR, 2018

Wrapped Gaussian Process Regression on Riemannian Manifolds.

Anton Mallasto, Aasa Feragen

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes.

Anton Mallasto, Aasa Feragen

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Scalable Robust Principal Component Analysis Using Grassmann Averages.

Søren Hauberg, Aasa Feragen, Raffi Enficiaud, Michael J. Black

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Training shortest-path tractography: Automatic learning of spatial priors.

Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Silas N. Ørting, Mads Nielsen, Ellen Garde, Aasa Feragen

NeuroImage, 2016

Supervised hub-detection for brain connectivity.

Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Ellen Garde, Mads Nielsen, Aasa Feragen

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Structural parcellation of the thalamus using shortest-path tractography.

Niklas Kasenburg, Sune Darkner, Ute Hahn, Matthew G. Liptrot, Aasa Feragen

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel?

Aasa Feragen, Søren Hauberg

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT.

Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura Hohwu Thomsen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne

IEEE Trans. Medical Imaging, 2015

A Random Riemannian Metric for Probabilistic Shortest-Path Tractography.

Søren Hauberg, Michael Schober, Matthew G. Liptrot, Philipp Hennig, Aasa Feragen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Geodesic exponential kernels: When curvature and linearity conflict.

Aasa Feragen, François Lauze, Søren Hauberg

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Geometry and Statistics: Manifolds and Stratified Spaces.

Aasa Feragen, Mads Nielsen, Eva Bjørn Vedel Jensen, Andrew du Plessis, François Lauze

J. Math. Imaging Vis., 2014

Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers.

Michael Schober, Niklas Kasenburg, Aasa Feragen, Philipp Hennig, Søren Hauberg

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder.

Veronika Cheplygina, David M. J. Tax, Marco Loog, Aasa Feragen

Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Grassmann Averages for Scalable Robust PCA.

Søren Hauberg, Aasa Feragen, Michael J. Black

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Toward a Theory of Statistical Tree-Shape Analysis.

Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Scalable kernels for graphs with continuous attributes.

Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten M. Borgwardt

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry.

Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne

Proceedings of the Information Processing in Medical Imaging, 2013

Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees.

Aasa Feragen, Megan Owen, Jens Petersen, Mathilde M. W. Wille, Laura H. Thomsen, Asger Dirksen, Marleen de Bruijne

Proceedings of the Information Processing in Medical Imaging, 2013

2012

Towards a theory of statistical tree-shape analysis

Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze

CoRR, 2012

Complexity of Computing Distances between Geometric Trees.

Aasa Feragen

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees.

Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura H. Thomsen, Mathilde M. W. Wille, Asger Dirksen, Marleen de Bruijne

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Towards exaggerated emphysema stereotypes.

C. Chen, Lauge Sørensen, François Lauze, Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, Mads Nielsen

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2011

Means in spaces of tree-like shapes.

Aasa Feragen, Søren Hauberg, Mads Nielsen, François Lauze

Proceedings of the IEEE International Conference on Computer Vision, 2011

Towards exaggerated image stereotypes.

Chen Chen, François Lauze, Christian Igel, Aasa Feragen, Marco Loog, Mads Nielsen

Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010

Fundamental Geodesic Deformations in Spaces of Treelike Shapes.

Aasa Feragen, François Lauze, Mads Nielsen

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Geometries on Spaces of Treelike Shapes.

Aasa Feragen, François Lauze, Pechin Lo, Marleen de Bruijne, Mads Nielsen

Proceedings of the Computer Vision - ACCV 2010, 2010