Aasa Feragen - RankMe

134 papers A* 8A 1B 3Journal 61Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fair Lung Disease Diagnosis from Chest CT via Gender-Adversarial Attention Multiple Instance Learning. CoRR Aditya Parikh, Aasa Feragen
2026	—	`ed.`	Fairness of AI in Medical Imaging - Third International Workshop, FAIMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings FAIMI@MICCAI Esther Puyol-Antón, Enzo Ferrante, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Ben Glocker, Eike Petersen, Heisook Lee
2026	J	`jnl`	Measuring What VLMs Don't Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation. CoRR Aditya Parikh, Aasa Feragen, Sneha Das, Stella Frank
2025	—	`conf`	Are Generative Models Fair? A Study of Racial Bias in Dermatological Image Generation. SCIA (2) Miguel López-Pérez, Søren Hauberg, Aasa Feragen
2025	J	`jnl`	Are generative models fair? A study of racial bias in dermatological image generation. CoRR Miguel López-Pérez, Søren Hauberg, Aasa Feragen
2025	J	`jnl`	Bayesian generative models can flag performance loss, bias, and out-of-distribution image content. CoRR Miguel López-Pérez, Marco Miani, Valery Naranjo, Søren Hauberg, Aasa Feragen
2025	—	`conf`	Difficulty Estimation for Image-Specific Medical Image Segmentation Quality Control. MICCAI (13) Joris Fournel, Axel Bartoli, Baptiste Marchi, Arnaud Maurin, Siavash Arjomand Bigdeli, Alexis Jacquier, Aasa Feragen
2025	—	`conf`	Diffusion-Based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. ASMUS@MICCAI Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Arjomand Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	—	`ed.`	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 FAIMI/EPIMI@MICCAI 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
2025	—	`conf`	General Methods Make Great Domain-Specific Foundation Models: A Case-Study on Fetal Ultrasound. MICCAI (7) Jakob Ambsdorf, Asbjørn Munk, Sebastian Nørgaard Llambias, Anders Nymark Christensen, Kamil Wojciech Mikolaj, Randall Balestriero, Martin Grønnebæk Tolsgaard, Aasa Feragen, Mads Nielsen
2025	J	`jnl`	General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound. CoRR Jakob Ambsdorf, Asbjørn Munk, Sebastian Nørgaard Llambias, Anders Nymark Christensen, Kamil Wojciech Mikolaj, Randall Balestriero, Martin Grønnebæk Tolsgaard, Aasa Feragen, Mads Nielsen
2025	—	`conf`	Graph Counterfactual Explainable AI via Latent Space Traversal. NLDL Andreas Abildtrup Hansen, Paraskevas Pegios, Anna Calissano, Aasa Feragen
2025	J	`jnl`	Graph Counterfactual Explainable AI via Latent Space Traversal. CoRR Andreas Abildtrup Hansen, Paraskevas Pegios, Anna Calissano, Aasa Feragen
2025	—	`conf`	In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. FAccT Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Sarah de Boer, Víctor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila González, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, André G. C. Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
2025	J	`jnl`	In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. CoRR Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Sarah de Boer, Víctor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila González, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, André G. C. Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
2025	—	`conf`	Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. MICCAI (7) Chun Kit Wong, Anders Nymark Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	J	`jnl`	Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. CoRR Chun Kit Wong, Anders Nymark Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	J	`jnl`	Investigating Label Bias and Representational Sources of Age-Related Disparities in Medical Segmentation. CoRR Aditya Parikh, Sneha Das, Aasa Feragen
2025	—	`conf`	Medicine After Death: XAI and Algorithmic Fairness Under Label Bias. EWAF Olalekan Joseph Akintande, Siavash Arjomand Bigdeli, Aasa Feragen
2025	J	`jnl`	Onto-Epistemological Analysis of AI Explanations. CoRR Martina Mattioli, Eike Petersen, Aasa Feragen, Marcello Pelillo, Siavash Arjomand Bigdeli
2025	J	`jnl`	Patronus: Bringing Transparency to Diffusion Models with Prototypes. CoRR Nina Weng, Aasa Feragen, Siavash Arjomand Bigdeli
2025	J	`jnl`	Predicting abnormal fetal growth using deep learning. npj Digit. Medicine Kamil Wojciech Mikolaj, Anders Nymark Christensen, Caroline Taksøe-Vester, Aasa Feragen, Olav Bjørn Petersen, Manxi Lin, Mads Nielsen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard
2025	—	`conf`	The Cervix in Context: Bias Assessment in Preterm Birth Prediction. FAIMI@MICCAI Joris Fournel, Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	J	`jnl`	Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models. CoRR Chun Kit Wong, Paraskevas Pegios, Nina Weng, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2025	J	`jnl`	Who Does Your Algorithm Fail? Investigating Age and Ethnic Bias in the MAMA-MIA Dataset. CoRR Aditya Parikh, Sneha Das, Aasa Feragen
2024	J	`jnl`	Counterfactual Explanations via Riemannian Latent Space Traversal. CoRR Paraskevas Pegios, Aasa Feragen, Andreas Abildtrup Hansen, Georgios Arvanitidis
2024	J	`jnl`	Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound. CoRR Chun Kit Wong, Mary Ngo, Manxi Lin, Zahra Bashir, Amihai Heen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	J	`jnl`	Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. CoRR Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Arjomand Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2024	—	`conf`	Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation. ECCV (86) Nina Weng, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Arjomand Bigdeli
2024	—	`conf`	Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria. ECCV Workshops (21) Sara Sterlie, Nina Weng, Aasa Feragen
2024	—	`conf`	Incorporating Clinical Guidelines Through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring. MICCAI (5) Tiantian Zhang, Manxi Lin, Hongda Guo, Xiaofan Zhang, Ka Fung Peter Chiu, Aasa Feragen, Qi Dou
2024	J	`jnl`	Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring. CoRR Tiantian Zhang, Manxi Lin, Hongda Guo, Xiaofan Zhang, Ka Fung Peter Chiu, Aasa Feragen, Qi Dou
2024	A*	`conf`	Interpreting Equivariant Representations. ICML Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen
2024	J	`jnl`	Interpreting Equivariant Representations. CoRR Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen
2024	—	`conf`	Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification. MICCAI (8) Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen
2024	—	`conf`	Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation. ISBI 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
2024	J	`jnl`	Learning semantic image quality for fetal ultrasound from noisy ranking annotation. CoRR 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
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part I MICCAI (1) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part II MICCAI (2) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part III MICCAI (3) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IV MICCAI (4) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part IX MICCAI (9) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part V MICCAI (5) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VI MICCAI (6) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VII MICCAI (7) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII MICCAI (8) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part X MICCAI (10) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XI MICCAI (11) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part XII MICCAI (12) Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
2024	—	`conf`	Navigating Uncertainty in Medical Image Segmentation. ISBI Kilian Zepf, Jes Frellsen, Aasa Feragen
2024	J	`jnl`	Navigating Uncertainty in Medical Image Segmentation. CoRR Kilian Zepf, Jes Frellsen, Aasa Feragen
2024	J	`jnl`	Non-discrimination Criteria for Generative Language Models. CoRR Sara Sterlie, Nina Weng, Aasa Feragen
2024	—	`conf`	Shortcut Learning in Medical Image Segmentation. MICCAI (8) Manxi Lin, Nina Weng, Kamil Wojciech Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	J	`jnl`	Shortcut Learning in Medical Image Segmentation. CoRR Manxi Lin, Nina Weng, Kamil Wojciech Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	—	`conf`	Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis Using Slice Discovery Methods. FAIMI/EPIMI@MICCAI Vincent Olesen, Nina Weng, Aasa Feragen, Eike Petersen
2024	J	`jnl`	Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods. CoRR Vincent Olesen, Nina Weng, Aasa Feragen, Eike Petersen
2024	—	`conf`	Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. ASMUS@MICCAI 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
2024	J	`jnl`	Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models. CoRR 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
2023	—	`conf`	An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. ASMUS@MICCAI Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen
2023	J	`jnl`	An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. CoRR Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen
2023	—	`conf`	Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis? CLIP/FAIMI/EPIMI@MICCAI Nina Weng, Siavash Arjomand Bigdeli, Eike Petersen, Aasa Feragen
2023	J	`jnl`	Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis? CoRR Nina Weng, Siavash Arjomand Bigdeli, Eike Petersen, Aasa Feragen
2023	J	`jnl`	Are demographically invariant models and representations in medical imaging fair? CoRR Eike Petersen, Enzo Ferrante, Melanie Ganz, Aasa Feragen
2023	—	`ed.`	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 CLIP/FAIMI/EPIMI@MICCAI 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
2023	—	`conf`	DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. IPMI Manxi Lin, Kilian Zepf, Anders Nymark Christensen, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2023	J	`jnl`	FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. CoRR 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.
2023	J	`jnl`	Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation. CoRR Nina Weng, Paraskevas Pegios, Aasa Feragen, Eike Petersen, Siavash Arjomand Bigdeli
2023	J	`jnl`	Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty. CoRR Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Aasa Feragen, Frederik Warburg
2023	—	`conf`	Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. ASMUS@MICCAI 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
2023	—	`conf`	On (assessing) the fairness of risk score models. FAccT Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen
2023	J	`jnl`	On (assessing) the fairness of risk score models. CoRR Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen
2023	J	`jnl`	Removing confounding information from fetal ultrasound images. CoRR Kamil Wojciech Mikolaj, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2023	J	`jnl`	Semantic similarity metrics for image registration. Medical Image Anal. Steffen Czolbe, Paraskevas Pegios, Oswin Krause, Aasa Feragen
2023	J	`jnl`	That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation. CoRR Kilian Zepf, Eike Petersen, Jes Frellsen, Aasa Feragen
2023	A*	`conf`	That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation. ICLR Kilian Zepf, Eike Petersen, Jes Frellsen, Aasa Feragen
2023	J	`jnl`	The path toward equal performance in medical machine learning. Patterns Eike Petersen, Sune Hannibal Holm, Melanie Ganz, Aasa Feragen
2022	J	`jnl`	DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. CoRR Manxi Lin, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2022	—	`conf`	DiffConv: Analyzing Irregular Point Clouds with an Irregular View. ECCV (3) Manxi Lin, Aasa Feragen
2022	—	`conf`	Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer's Disease Detection. MICCAI (1) Eike Petersen, Aasa Feragen, Maria Luise da Costa Zemsch, Anders Henriksen, Oskar Eiler Wiese Christensen, Melanie Ganz
2022	J	`jnl`	Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection. CoRR Eike Petersen, Aasa Feragen, Maria Luise da Costa Zemsch, Anders Henriksen, Oskar Eiler Wiese Christensen, Melanie Ganz
2022	J	`jnl`	Graph-valued regression: Prediction of unlabelled networks in a non-Euclidean graph space. J. Multivar. Anal. Anna Calissano, Aasa Feragen, Simone Vantini
2022	J	`jnl`	I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks. CoRR Manxi Lin, Aasa Feragen, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen
2021	J	`jnl`	Graph2Graph Learning with Conditional Autoregressive Models. CoRR Guan Wang, François Bernard Lauze, Aasa Feragen
2021	—	`ed.`	Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Virtual Event, June 28-June 30, 2021, Proceedings IPMI Aasa Feragen, Stefan Sommer, Julia A. Schnabel, Mads Nielsen
2021	—	`conf`	Is Segmentation Uncertainty Useful? IPMI Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen
2021	J	`jnl`	Is segmentation uncertainty useful? CoRR Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen
2021	—	`conf`	Semantic similarity metrics for learned image registration. MIDL Steffen Czolbe, Oswin Krause, Aasa Feragen
2021	J	`jnl`	Semantic similarity metrics for learned image registration. CoRR Steffen Czolbe, Oswin Krause, Aasa Feragen
2021	J	`jnl`	Semi-supervised, Topology-Aware Segmentation of Tubular Structures from Live Imaging 3D Microscopy. CoRR Kasra Arnavaz, Oswin Krause, Jelena M. Krivokapic, Silja Heilmann, Jakob Andreas Bærentzen, Pia Nyeng, Aasa Feragen
2021	A*	`conf`	Spot the Difference: Detection of Topological Changes via Geometric Alignment. NeurIPS Steffen Czolbe, Aasa Feragen, Oswin Krause
2021	J	`jnl`	Spot the Difference: Topological Anomaly Detection via Geometric Alignment. CoRR Steffen Czolbe, Aasa Feragen, Oswin Krause
2021	J	`jnl`	diffConv: Analyzing Irregular Point Clouds with an Irregular View. CoRR Manxi Lin, Aasa Feragen
2020	B	`conf`	Bayesian Active Learning for Maximal Information Gain on Model Parameters. ICPR Kasra Arnavaz, Aasa Feragen, Oswin Krause, Marco Loog
2020	J	`jnl`	DeepSim: Semantic similarity metrics for learned image registration. CoRR Steffen Czolbe, Oswin Krause, Aasa Feragen
2020	J	`jnl`	Enforcing necessary non-negativity constraints for common diffusion MRI models using sum of squares programming. NeuroImage Tom C. J. Dela Haije, Evren Özarslan, Aasa Feragen
2019	J	`jnl`	(q, p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs. CoRR Anton Mallasto, Jes Frellsen, Wouter Boomsma, Aasa Feragen
2019	J	`jnl`	A Formalization of The Natural Gradient Method for General Similarity Measures. CoRR Anton Mallasto, Tom C. J. Dela Haije, Aasa Feragen
2019	—	`conf`	A Formalization of the Natural Gradient Method for General Similarity Measures. GSI Anton Mallasto, Tom C. J. Dela Haije, Aasa Feragen
2019	—	`ed.`	International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom MIDL M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren
2019	J	`jnl`	Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. CoRR M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren
2019	A	`conf`	Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models. AISTATS Anton Mallasto, Søren Hauberg, Aasa Feragen
2019	—	`conf`	Reconstructing Objects from Noisy Images at Low Resolution. GbRPR Helene Svane, Aasa Feragen
2019	—	`conf`	TopAwaRe: Topology-Aware Registration. MICCAI (2) Rune Kok Nielsen, Sune Darkner, Aasa Feragen
2018	J	`jnl`	Learning from graphs with structural variation. CoRR Rune Kok Nielsen, Andreas Nugaard Holm, Aasa Feragen
2018	J	`jnl`	Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models. CoRR Anton Mallasto, Søren Hauberg, Aasa Feragen
2018	A*	`conf`	Wrapped Gaussian Process Regression on Riemannian Manifolds. CVPR Anton Mallasto, Aasa Feragen
2017	—	`conf`	Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes. NIPS Anton Mallasto, Aasa Feragen
2016	A*	`conf`	Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel? COLT Aasa Feragen, Søren Hauberg
2016	J	`jnl`	Scalable Robust Principal Component Analysis Using Grassmann Averages. IEEE Trans. Pattern Anal. Mach. Intell. Søren Hauberg, Aasa Feragen, Raffi Enficiaud, Michael J. Black
2016	—	`conf`	Structural parcellation of the thalamus using shortest-path tractography. ISBI Niklas Kasenburg, Sune Darkner, Ute Hahn, Matthew G. Liptrot, Aasa Feragen
2016	B	`conf`	Supervised hub-detection for brain connectivity. Image Processing Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Ellen Garde, Mads Nielsen, Aasa Feragen
2016	J	`jnl`	Training shortest-path tractography: Automatic learning of spatial priors. NeuroImage Niklas Kasenburg, Matthew G. Liptrot, Nina Linde Reislev, Silas N. Ørting, Mads Nielsen, Ellen Garde, Aasa Feragen
2015	—	`conf`	A Random Riemannian Metric for Probabilistic Shortest-Path Tractography. MICCAI (1) Søren Hauberg, Michael Schober, Matthew G. Liptrot, Philipp Hennig, Aasa Feragen
2015	J	`jnl`	Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT. IEEE Trans. Medical Imaging Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura Hohwu Thomsen, Mathilde Marie Winkler Wille, Asger Dirksen, Marleen de Bruijne
2015	A*	`conf`	Geodesic exponential kernels: When curvature and linearity conflict. CVPR Aasa Feragen, François Lauze, Søren Hauberg
2015	—	`ed.`	Similarity-Based Pattern Recognition - Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015, Proceedings SIMBAD Aasa Feragen, Marcello Pelillo, Marco Loog
2014	J	`jnl`	Geodesic Exponential Kernels: When Curvature and Linearity Conflict. CoRR Aasa Feragen, François Lauze, Søren Hauberg
2014	J	`jnl`	Geometry and Statistics: Manifolds and Stratified Spaces. J. Math. Imaging Vis. Aasa Feragen, Mads Nielsen, Eva Bjørn Vedel Jensen, Andrew du Plessis, François Lauze
2014	A*	`conf`	Grassmann Averages for Scalable Robust PCA. CVPR Søren Hauberg, Aasa Feragen, Michael J. Black
2014	—	`conf`	Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder. MLMI Veronika Cheplygina, David M. J. Tax, Marco Loog, Aasa Feragen
2014	—	`conf`	Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers. MICCAI (3) Michael Schober, Niklas Kasenburg, Aasa Feragen, Philipp Hennig, Søren Hauberg
2013	—	`conf`	Geometric Tree Kernels: Classification of COPD from Airway Tree Geometry. IPMI Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne
2013	J	`jnl`	Geometric tree kernels: Classification of COPD from airway tree geometry CoRR Aasa Feragen, Jens Petersen, Dominik G. Grimm, Asger Dirksen, Jesper Johannes Holst Pedersen, Karsten M. Borgwardt, Marleen de Bruijne
2013	—	`conf`	Scalable kernels for graphs with continuous attributes. NIPS Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten M. Borgwardt
2013	J	`jnl`	Toward a Theory of Statistical Tree-Shape Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze
2013	—	`conf`	Tree-Space Statistics and Approximations for Large-Scale Analysis of Anatomical Trees. IPMI Aasa Feragen, Megan Owen, Jens Petersen, Mathilde M. W. Wille, Laura H. Thomsen, Asger Dirksen, Marleen de Bruijne
2012	—	`conf`	A Hierarchical Scheme for Geodesic Anatomical Labeling of Airway Trees. MICCAI (3) Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura H. Thomsen, Mathilde M. W. Wille, Asger Dirksen, Marleen de Bruijne
2012	—	`conf`	Complexity of Computing Distances between Geometric Trees. SSPR/SPR Aasa Feragen
2012	J	`jnl`	Towards a theory of statistical tree-shape analysis CoRR Aasa Feragen, Pechin Lo, Marleen de Bruijne, Mads Nielsen, François Lauze
2012	—	`conf`	Towards exaggerated emphysema stereotypes. Computer-Aided Diagnosis C. Chen, Lauge Sørensen, François Lauze, Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, Mads Nielsen
2011	A*	`conf`	Means in spaces of tree-like shapes. ICCV Aasa Feragen, Søren Hauberg, Mads Nielsen, François Lauze
2011	—	`conf`	Towards exaggerated image stereotypes. ACPR Chen Chen, François Lauze, Christian Igel, Aasa Feragen, Marco Loog, Mads Nielsen
2010	B	`conf`	Fundamental Geodesic Deformations in Spaces of Treelike Shapes. ICPR Aasa Feragen, François Lauze, Mads Nielsen
2010	—	`conf`	Geometries on Spaces of Treelike Shapes. ACCV (2) Aasa Feragen, François Lauze, Pechin Lo, Marleen de Bruijne, Mads Nielsen