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ORCIDAasa Feragen
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- affiliation: Technical University of Denmark
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2020 – today
- 2025
[e17]Esther Puyol-Antón
, Ghada Zamzmi, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Eike Petersen, John S. H. Baxter, Islem Rekik, Roy Eagleson:
Ethics and Fairness in Medical Imaging - Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings. Lecture Notes in Computer Science 15198, Springer 2025, ISBN 978-3-031-72786-3 [contents]- 2024
- [c45]Nina Weng, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Bigdeli:
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation. ECCV (86) 2024: 338-357 - [c44]Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen:
Interpreting Equivariant Representations. ICML 2024 - [c43]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. ISBI 2024: 1-5 - [c42]Kilian Zepf, Jes Frellsen, Aasa Feragen:
Navigating Uncertainty in Medical Image Segmentation. ISBI 2024: 1-5 - [c41]Vincent Olesen, Nina Weng, Aasa Feragen, Eike Petersen:
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods. FAIMI/EPIMI@MICCAI 2024: 3-13 - [c40]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:
Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. ASMUS@MICCAI 2024: 209-219 - [c39]Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen:
Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification. MICCAI (8) 2024: 349-359 - [c38]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. MICCAI (5) 2024: 360-370 - [c37]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. MICCAI (8) 2024: 623-633 - [e16]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15001, Springer 2024, ISBN 978-3-031-72377-3 [contents] - [e15]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15002, Springer 2024, ISBN 978-3-031-72068-0 [contents] - [e14]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15003, Springer 2024, ISBN 978-3-031-72383-4 [contents] - [e13]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15004, Springer 2024, ISBN 978-3-031-72082-6 [contents] - [e12]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15005, Springer 2024, ISBN 978-3-031-72085-7 [contents] - [e11]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15006, Springer 2024, ISBN 978-3-031-72088-8 [contents] - [e10]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15007, Springer 2024, ISBN 978-3-031-72103-8 [contents] - [e9]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15008, Springer 2024, ISBN 978-3-031-72110-6 [contents] - [e8]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15009, Springer 2024, ISBN 978-3-031-72113-7 [contents] - [e7]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15010, Springer 2024, ISBN 978-3-031-72116-8 [contents] - [e6]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 15011, Springer 2024, ISBN 978-3-031-72119-9 [contents] - [e5]Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 15012, Springer 2024, ISBN 978-3-031-72389-6 [contents] - [i37]Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen:
Interpreting Equivariant Representations. CoRR abs/2401.12588 (2024) - [i36]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 abs/2402.08294 (2024) - [i35]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 abs/2403.06748 (2024) - [i34]Sara Sterlie, Nina Weng, Aasa Feragen:
Non-discrimination Criteria for Generative Language Models. CoRR abs/2403.08564 (2024) - [i33]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 abs/2403.08700 (2024) - [i32]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 abs/2404.00032 (2024) - [i31]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 abs/2405.08786 (2024) - [i30]Vincent Olesen, Nina Weng, Aasa Feragen, Eike Petersen:
Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods. CoRR abs/2406.12142 (2024) - [i29]Kilian Zepf, Jes Frellsen, Aasa Feragen:
Navigating Uncertainty in Medical Image Segmentation. CoRR abs/2407.16367 (2024) - [i28]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:
Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models. CoRR abs/2408.03654 (2024) - 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) - [c36]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: 142-152 - [c35]Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen:
On (assessing) the fairness of risk score models. FAccT 2023: 817-829 - [c34]Kilian Zepf, Eike Petersen, Jes Frellsen, Aasa Feragen:
That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation. ICLR 2023 - [c33]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 - [c32]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: 13-22 - [c31]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: 57-67 - [e4]Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen:
Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings. Lecture Notes in Computer Science 14242, Springer 2023, ISBN 978-3-031-45248-2 [contents] - [i27]Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen:
On (assessing) the fairness of risk score models. CoRR abs/2302.08851 (2023) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]Eike Petersen, Enzo Ferrante, Melanie Ganz, Aasa Feragen:
Are demographically invariant models and representations in medical imaging fair? CoRR abs/2305.01397 (2023) - [i21]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) - [i20]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 abs/2309.12325 (2023) - [i19]Nina Weng, Paraskevas Pegios, Aasa Feragen, Eike Petersen, Siavash Bigdeli:
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation. CoRR abs/2312.14223 (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. 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. 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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