Aasa Feragen

Professor of Medical Image Analysis

Scientific Talks

Northern Lights Deep Learning Conference, Keynote, January 2024
Computational Mathematics for Data Science, Keynote, November 2023
Machine Learning in Life Science: (Past,) Present and Future, keynote at BRIC group leader retreat, 10.10.2023
Explainable AI for improved fetal ultrasound diagnostics, CVPR Workshop on Medical Computer Vision, 2023
Explainable AI for improved fetal ultrasound diagnostics, seminar at ITU, May 4, 2023
Uncertainties in image segmentation and beyond, with Kilian Zepf, Seminar for the Intelligent Automation Group, RMIT University Melbourne, 18.4.2023
Uncertainty in image segmentation and beyond: A modelling tale, IEEE Webinar on Frontiers of Biomedical Imaging and Analysis, February 9 2023
Responsible AI is a technical challenge, Inaugural Lecture at DTU Compute, 27.1.2023
Stockholm Mathematics Centrum Colloquium, 2022
IMS Conference Interactions of Statistics and Geometry (ISAG), 2022
PRIME-MICCAI WOrkshop 2021, Keynote, September 2021
ASA Joint Statistical Meetings, Invited session on geometry and shapes of complex data, August 7–12, 2021
Keynote, 6th International Workshop Diff-CVML: Differential Geometry in Computer Vision and Machine Learning, CVPR Workshop, June 2021
Graph-valued regression models, Recent Advances in Statistical Analysis of Imaging DataRecent Advances in Statistical Analysis of Imaging Data, 4-5.12.2020
Statistics & Probability seminar of the School of Mathematical Sciences at the University of Nottingham, 3.12.2020
Uncertainty quantification in non-Euclidean domains, International Shape Statistics Discussion Group, 20.12.2020
Uncertainty quantification in non-Euclidean domains, Keynote, ShapeMI workshop at MICCAI 2020, 4.10.2020
Uncertainty quantification in non-Euclidean domains, Meet DTU Compute, 19.5.2020
The geometry of graph space: Towards graph-valued statistics, CMStatistics 2019, 16.12.2019
Uncertainty quantification for manifold valued models, DALI/ELLIS workshop on Geometric Deep Learning, 5.9.2019
Uncertainties in Diffusion MRI, DALI/ELLIS workshop on Health, 3.9.2019
Problematic confidence: The Role of Uncertainty when Data is estimated from Data, DALI/ELLIS WOrkshop on Hidden Gems, 3.9.2019
Quantifying Spatial Uncertainty in the Space of Curves: Streamline Tractography, Special session in Geometry-based Methods in Biomedical Image Analysis, International Symposium on Biomedical Image (ISBI), Venice, 2019
Geometry in Uncertainty Quantification, Dagstuhl Seminar on Visualization and Processing of Anisotropy in Imaging, Geometry, and Astronomy, 28.10-2-11, 2018

Talks for clinicians, industry and the general public

Når kunstig intelligens møder mennesker - Tekniske og etiske aspekter af hvordan vi bruger og forstår kunstig intelligens, for DTUs Afdeling for Kommunikation og Medier, 21.11.2023
Talk on Life Long Learning: About Responsible AI and Machine Learning (with Line Clemmensen), Digital Tech Summit, 9.11.2023
Forskerbattle, Herlev Hospital, 7.11.2023
Etik og bias i AI-løsninger, AI Danmark Summit, 26.10.2023
Responsible AI and Unwanted AI behavior, for KPMG Acor Tax, 9.10.2023
Når kunstig intelligens møder mennesker - Tekniske og etiske aspekter af hvordan vi bruger og forstår kunstig intelligens, for Greater Copenhagen EU Office, 28.9.2023
Fairness in AI, DTU Tech4Civ program on Data and digital technology as enablers for environmentally sustainable societies, 26.9.2023
Når kunstig intelligens møder mennesker Tekniske og etiske aspekter af hvordan vi bruger og forstår kunstig intelligens, for Digitaliseringsministeriet, 12.6.2023
Explanations and Expectations, Science and Cocktails at CAMES, 24.4.2023
Når kunstig intelligens møder mennesker Tekniske og etiske aspekter af hvordan vi bruger og forstår kunstig intelligens, for DTUs direktørkreds, 8.3.2023
AI som klinikerens samarbejdspartner, Videreuddannelsesprogram AI i radiologien, 7.2.2022
Algorithmic bias When your model is under bad influence, for Novo Nordisk, September 14 2022
Fairness in AI, for a DTU Tech4Civ programme on Digital transformation and modernization in Brazil, 8.11.2021
Fair algoritmer (for sundhed), Onlinemøde for IDAs Arbejdsgruppe for etik og teknologi, 4.11.2020
AI in Medical Imaging, Keynote, Årsmøde for Dansk Selskab for Medicinsk Magnetisk Resonans, 2.9.2020
Gender bias in diagnostic software: How did it happen? What are the consequences? And how can we fix it?, DTU Tech Talk (with Sune Hannibal Holm), 27.8.2020.
Bias and Fairness in Medicine, Sustainable AI in practice, DTU Compute, 25.8.2020

Activities

MICCAI 2024, Program chair
FAIMI Fairness of AI in Medical Imaging, online workshop (co-organizer), 6.11.2023
FAIMI Fairness of AI in Medical Imaging, MICCAI workshop (co-organizer), 12.10.2023
Geometrical and Topological Representation Learning Workshop at ICLR 2021,Panel Discussion on Manifold Learning 2.0, May 7 2021
Medical Imaging with Deep Learning (MIDL 2021), Area chair
The 27th international conference on Information Processing in Medical Imaging -- IPMI 2021, General Chair
Med-NeurIPS 2020, NeurIPS 2020 workshop, Organizer
NeurIPS 2020, Area Chair
IT Camp for Piger 2020: Fra Kalkulus til billedanalyse, speaker, DTU Compute, 16.10.2020
Medical Imaging with Deep Learning -- MIDL 2020, Area Chair
Med-NeurIPS 2019, NeurIPS 2019 workshop, Organizer
Medical Imaging with Deep Learning -- MIDL 2019, Program Chair
The 26th international conference on Information Processing in Medical Imaging -- IPMI 2019, Paper Selection Committee
Workshop on Diffusion MRI and Stochastic Geometry, 20-24.1.2019
Geometry in Machine Learning -- GIMLI, Workshop at ICML 2018, Organizer
Statistics for Data with Geometric Structure, Oberwolfach Workshop, 21-27.1.2018, Organizer