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ORCIDAasa Feragen
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- affiliation: Technical University of Denmark
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2020 – today
- 2023
[j10]Steffen Czolbe
, Paraskevas Pegios, Oswin Krause, Aasa Feragen:
Semantic similarity metrics for image registration. Medical Image Anal. 87: 102830 (2023)- [j9]Eike Petersen, Sune Hannibal Holm, Melanie Ganz, Aasa Feragen:
The path toward equal performance in medical machine learning. Patterns 4(7): 100790 (2023) - [c33]Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen:
On (assessing) the fairness of risk score models. FAccT 2023: 817-829 - [c32]Kilian Zepf, Eike Petersen, Jes Frellsen, Aasa Feragen:
That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation. ICLR 2023 - [c31]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: 654-666 - [i25]Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen:
On (assessing) the fairness of risk score models. CoRR abs/2302.08851 (2023) - [i24]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 abs/2303.13123 (2023) - [i23]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 abs/2303.13918 (2023) - [i22]Kilian Zepf, Eike Petersen, Jes Frellsen, Aasa Feragen:
That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation. CoRR abs/2303.15850 (2023) - [i21]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 abs/2304.05463 (2023) - [i20]Eike Petersen, Enzo Ferrante, Melanie Ganz, Aasa Feragen:
Are demographically invariant models and representations in medical imaging fair? CoRR abs/2305.01397 (2023) - [i19]Nina Weng, Siavash Bigdeli, Eike Petersen, Aasa Feragen:
Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis? CoRR abs/2308.05129 (2023) - 2022
- [j8]Anna Calissano, Aasa Feragen, Simone Vantini:
Graph-valued regression: Prediction of unlabelled networks in a non-Euclidean graph space. J. Multivar. Anal. 190: 104950 (2022) - [c30]Manxi Lin, Aasa Feragen:
DiffConv: Analyzing Irregular Point Clouds with an Irregular View. ECCV (3) 2022: 380-397 - [c29]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: 88-98 - [i18]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 abs/2204.01737 (2022) - [i17]Manxi Lin, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen:
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. CoRR abs/2205.11115 (2022) - [i16]Manxi Lin, Aasa Feragen, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen:
I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks. CoRR abs/2211.10630 (2022) - 2021
- [j7]Magnus Herberthson, Deneb Boito, Tom C. J. Dela Haije, Aasa Feragen, Carl-Fredrik Westin, Evren Özarslan:
Q-space trajectory imaging with positivity constraints (QTI+). NeuroImage 238: 118198 (2021) - [c28]Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen:
Is Segmentation Uncertainty Useful? IPMI 2021: 715-726 - [c27]Steffen Czolbe, Oswin Krause, Aasa Feragen:
Semantic similarity metrics for learned image registration. MIDL 2021: 105-118 - [c26]Steffen Czolbe, Aasa Feragen, Oswin Krause:
Spot the Difference: Detection of Topological Changes via Geometric Alignment. NeurIPS 2021: 14383-14395 - [e3]Aasa Feragen, Stefan Sommer, Julia A. Schnabel, Mads Nielsen:
Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Virtual Event, June 28-June 30, 2021, Proceedings. Lecture Notes in Computer Science 12729, Springer 2021, ISBN 978-3-030-78190-3 [contents] - [i15]Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen:
Is segmentation uncertainty useful? CoRR abs/2103.16265 (2021) - [i14]Steffen Czolbe, Oswin Krause, Aasa Feragen:
Semantic similarity metrics for learned image registration. CoRR abs/2104.10051 (2021) - [i13]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 abs/2105.09737 (2021) - [i12]Guan Wang, François Bernard Lauze, Aasa Feragen:
Graph2Graph Learning with Conditional Autoregressive Models. CoRR abs/2106.03236 (2021) - [i11]Steffen Czolbe, Aasa Feragen, Oswin Krause:
Spot the Difference: Topological Anomaly Detection via Geometric Alignment. CoRR abs/2106.08233 (2021) - [i10]Manxi Lin, Aasa Feragen:
diffConv: Analyzing Irregular Point Clouds with an Irregular View. CoRR abs/2111.14658 (2021) - 2020
- [j6]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: 116405 (2020) - [c25]Kasra Arnavaz, Aasa Feragen, Oswin Krause, Marco Loog:
Bayesian Active Learning for Maximal Information Gain on Model Parameters. ICPR 2020: 10524-10531 - [i9]Steffen Czolbe, Oswin Krause, Aasa Feragen:
DeepSim: Semantic similarity metrics for learned image registration. CoRR abs/2011.05735 (2020)
2010 – 2019
- 2019
- [c24]Anton Mallasto, Søren Hauberg, Aasa Feragen:
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models. AISTATS 2019: 2368-2377 - [c23]Helene Svane, Aasa Feragen:
Reconstructing Objects from Noisy Images at Low Resolution. GbRPR 2019: 204-214 - [c22]Anton Mallasto, Tom C. J. Dela Haije, Aasa Feragen:
A Formalization of the Natural Gradient Method for General Similarity Measures. GSI 2019: 599-607 - [c21]Rune Kok Nielsen, Sune Darkner, Aasa Feragen:
TopAwaRe: Topology-Aware Registration. MICCAI (2) 2019: 364-372 - [e2]M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom. Proceedings of Machine Learning Research 102, PMLR 2019 [contents] - [i8]Anton Mallasto, Jes Frellsen, Wouter Boomsma, Aasa Feragen:
(q, p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs. CoRR abs/1902.03642 (2019) - [i7]Anton Mallasto, Tom C. J. Dela Haije, Aasa Feragen:
A Formalization of The Natural Gradient Method for General Similarity Measures. CoRR abs/1902.08959 (2019) - [i6]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 abs/1907.08612 (2019) - 2018
- [c20]Anton Mallasto, Aasa Feragen:
Wrapped Gaussian Process Regression on Riemannian Manifolds. CVPR 2018: 5580-5588 - [i5]Anton Mallasto, Søren Hauberg, Aasa Feragen:
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models. CoRR abs/1805.09122 (2018) - [i4]Rune Kok Nielsen, Andreas Nugaard Holm, Aasa Feragen:
Learning from graphs with structural variation. CoRR abs/1806.11377 (2018) - 2017
- [c19]Anton Mallasto, Aasa Feragen:
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes. NIPS 2017: 5660-5670 - 2016
- [j5]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: 63-76 (2016) - [j4]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): 2298-2311 (2016) - [c18]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: 1647-1650 - [c17]Niklas Kasenburg, Sune Darkner, Ute Hahn, Matthew G. Liptrot, Aasa Feragen:
Structural parcellation of the thalamus using shortest-path tractography. ISBI 2016: 559-563 - [c16]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: 978409 - 2015
- [j3]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): 1212-1226 (2015) - [c15]Aasa Feragen, François Lauze, Søren Hauberg:
Geodesic exponential kernels: When curvature and linearity conflict. CVPR 2015: 3032-3042 - [c14]Søren Hauberg, Michael Schober, Matthew G. Liptrot, Philipp Hennig, Aasa Feragen:
A Random Riemannian Metric for Probabilistic Shortest-Path Tractography. MICCAI (1) 2015: 597-604 - [e1]Aasa Feragen, Marcello Pelillo, Marco Loog:
Similarity-Based Pattern Recognition - Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015, Proceedings. Lecture Notes in Computer Science 9370, Springer 2015, ISBN 978-3-319-24260-6 [contents] - 2014
- [j2]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): 1-4 (2014) - [c13]Søren Hauberg, Aasa Feragen, Michael J. Black:
Grassmann Averages for Scalable Robust PCA. CVPR 2014: 3810-3817 - [c12]Veronika Cheplygina, David M. J. Tax, Marco Loog, Aasa Feragen:
Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder. MLMI 2014: 190-197 - [c11]Michael Schober, Niklas Kasenburg, Aasa Feragen, Philipp Hennig, Søren Hauberg:
Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers. MICCAI (3) 2014: 265-272 - [i3]Aasa Feragen, François Lauze, Søren Hauberg:
Geodesic Exponential Kernels: When Curvature and Linearity Conflict. CoRR abs/1411.0296 (2014) - 2013
- [j1]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): 2008-2021 (2013) - [c10]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: 74-85 - [c9]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: 171-183 - [c8]Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten M. Borgwardt:
Scalable kernels for graphs with continuous attributes. NIPS 2013: 216-224 - [i2]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 abs/1303.7390 (2013) - 2012
- [c7]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: 83150Q - [c6]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: 147-155 - [c5]Aasa Feragen:
Complexity of Computing Distances between Geometric Trees. SSPR/SPR 2012: 89-97 - [i1]Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze:
Towards a theory of statistical tree-shape analysis. CoRR abs/1207.5371 (2012) - 2011
- [c4]Chen Chen, François Lauze, Christian Igel, Aasa Feragen, Marco Loog, Mads Nielsen:
Towards exaggerated image stereotypes. ACPR 2011: 422-426 - [c3]Aasa Feragen, Søren Hauberg, Mads Nielsen, François Lauze:
Means in spaces of tree-like shapes. ICCV 2011: 736-746 - 2010
- [c2]Aasa Feragen, François Lauze, Pechin Lo, Marleen de Bruijne, Mads Nielsen:
Geometries on Spaces of Treelike Shapes. ACCV (2) 2010: 160-173 - [c1]Aasa Feragen, François Lauze, Mads Nielsen:
Fundamental Geodesic Deformations in Spaces of Treelike Shapes. ICPR 2010: 2089-2093
Coauthor Index
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last updated on 2023-09-13 22:55 CEST by the dblp team
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