Aasa Feragen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
11
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | General Methods Make Great Domain-Specific Foundation Models: A Case-Study on Fetal Ultrasound. | Jakob Ambsdorf, Asbjrn Munk, Sebastian Nrgaard Llambias, Anders Nymark Christensen, Kamil Wojciech Mikolaj, Randall Balestriero, Martin Grnnebk Tolsgaard, Aasa Feragen, Mads Nielsen |
| 2025 | MICCAI | Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control. | Joris Fournel, Axel Bartoli, Baptiste Marchi, Arnaud Maurin, Siavash Arjomand Bigdeli, Alexis Jacquier, Aasa Feragen |
| 2025 | MICCAI | The Cervix in Context: Bias Assessment in Preterm Birth Prediction. | Joris Fournel, Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Martin Grnnebk Tolsgaard, Aasa Feragen |
| 2025 | MICCAI | Diffusion-Based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. | Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Sndergaard Svendsen, Zahra Bashir, Siavash Arjomand Bigdeli, Anders Nymark Christensen, Martin Grnnebk Tolsgaard, Aasa Feragen |
| 2025 | MICCAI | Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. | Chun Kit Wong, Anders Nymark Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin Grnnebk Tolsgaard, Aasa Feragen |
| 2024 | ECCV | Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria. | Sara Sterlie, Nina Weng, Aasa Feragen |
| 2024 | ECCV | Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation. | Nina Weng, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Arjomand Bigdeli |
| 2024 | ICML | Interpreting Equivariant Representations. | Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen |
| 2024 | MICCAI | Shortcut Learning in Medical Image Segmentation. | Manxi Lin, Nina Weng, Kamil Wojciech Mikolaj, Zahra Bashir, Morten Bo Sndergaard Svendsen, Martin Grnnebk Tolsgaard, Anders Nymark Christensen, Aasa Feragen |
| 2024 | MICCAI | Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods. | Vincent Olesen, Nina Weng, Aasa Feragen, Eike Petersen |
| 2024 | MICCAI | Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. | Markus Ditlev Sjgren Olsen, Jakob Ambsdorf, Manxi Lin, Caroline Takse-Vester, Morten Bo Sndergaard Svendsen, Anders Nymark Christensen, Mads Nielsen, Martin Grnnebk Tolsgaard, Aasa Feragen, Paraskevas Pegios |
| 2024 | MICCAI | Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification. | Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Sren Hauberg, Frederik Warburg, Aasa Feragen |
| 2024 | MICCAI | 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 |
| 2023 | ICLR | That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation. | Kilian Zepf, Eike Petersen, Jes Frellsen, Aasa Feragen |
| 2023 | MICCAI | Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. | Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Manxi Lin, Zahra Bashir, Morten Bo Sndergaard Svendsen, Mads Nielsen, Eike Petersen, Anders Nymark Christensen, Martin Grnnebk Tolsgaard, Aasa Feragen |
| 2023 | MICCAI | An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. | Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Sndergaard Svendsen, Martin Grnnebk Tolsgaard, Aasa Feragen, Anders Nymark Christensen |
| 2022 | ECCV | DiffConv: Analyzing Irregular Point Clouds with an Irregular View. | Manxi Lin, Aasa Feragen |
| 2022 | MICCAI | 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 |
| 2020 | ICPR | Bayesian Active Learning for Maximal Information Gain on Model Parameters. | Kasra Arnavaz, Aasa Feragen, Oswin Krause, Marco Loog |
| 2019 | AISTATS | Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models. | Anton Mallasto, Sren Hauberg, Aasa Feragen |
| 2019 | MICCAI | TopAwaRe: Topology-Aware Registration. | Rune Kok Nielsen, Sune Darkner, Aasa Feragen |
| 2018 | CVPR | Wrapped Gaussian Process Regression on Riemannian Manifolds. | Anton Mallasto, Aasa Feragen |
| 2016 | COLT | Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel? | Aasa Feragen, Sren Hauberg |
| 2015 | CVPR | Geodesic exponential kernels: When curvature and linearity conflict. | Aasa Feragen, Franois Lauze, Sren Hauberg |
| 2015 | MICCAI | A Random Riemannian Metric for Probabilistic Shortest-Path Tractography. | Sren Hauberg, Michael Schober, Matthew G. Liptrot, Philipp Hennig, Aasa Feragen |
| 2014 | CVPR | Grassmann Averages for Scalable Robust PCA. | Sren Hauberg, Aasa Feragen, Michael J. Black |
| 2014 | MICCAI | Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder. | Veronika Cheplygina, David M. J. Tax, Marco Loog, Aasa Feragen |
| 2014 | MICCAI | Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers. | Michael Schober, Niklas Kasenburg, Aasa Feragen, Philipp Hennig, Sren Hauberg |
| 2012 | MICCAI | 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 |
| 2012 | SSPR | Complexity of Computing Distances between Geometric Trees. | Aasa Feragen |
| 2011 | ICCV | Means in spaces of tree-like shapes. | Aasa Feragen, Sren Hauberg, Mads Nielsen, Franois Lauze |
| 2010 | ACCV | Geometries on Spaces of Treelike Shapes. | Aasa Feragen, Franois Lauze, Pechin Lo, Marleen de Bruijne, Mads Nielsen |
| 2010 | ICPR | Fundamental Geodesic Deformations in Spaces of Treelike Shapes. | Aasa Feragen, Franois Lauze, Mads Nielsen |