Explain yourself! Effects of Explanations in Human-Robot Interaction. - Jakob Ambsdorf; Alina Munir; Yiyao Wei; Klaas Degkwitz; Harm Matthias Harms; Susanne Stannek; Kyra Ahrens; Dennis Becker; Erik Strahl; Tom Weber; Stefan Wermter (RO-MAN, 2022)

Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations. - Björn Plüster; Jakob Ambsdorf; Lukas Braach; Jae Hee Lee 001; Stefan Wermter (CoRR, 2022)

What's on Your Mind, NICO? - Matthias Kerzel; Jakob Ambsdorf; Dennis Becker; Wenhao Lu; Erik Strahl; Josua Spisak; Connor Gaede; Tom Weber; Stefan Wermter (Künstliche Intell., 2022)

Benchmarking Faithfulness: Towards Accurate Natural Language Explanations in Vision-Language Tasks. - Jakob Ambsdorf (CoRR, 2023)

Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation. - 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 (ISBI, 2024)

Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. - 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 (ASMUS@MICCAI, 2024)

Yucca: A Deep Learning Framework For Medical Image Analysis. - Sebastian Nørgaard Llambias; Julia Machnio; Asbjørn Munk; Jakob Ambsdorf; Mads Nielsen; Mostafa Mehdipour-Ghazi (CoRR, 2024)

AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation. - Asbjørn Munk; Jakob Ambsdorf; Sebastian Nørgaard Llambias; Mads Nielsen (CoRR, 2024)

A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning. - Asbjørn Munk; Stefano Cerri; Jakob Ambsdorf; Julia Machnio; Sebastian Nørgaard Llambias; Vardan Nersesjan; Christian Hedeager Krag; Peirong Liu; Pablo Rocamora-García; Mostafa Mehdipour-Ghazi; Mikael Boesen; Michael Eriksen Benros; et al. (CoRR, 2025)

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound. - Jakob Ambsdorf; Asbjørn Munk; Sebastian Nørgaard Llambias; Anders Nymark Christensen; Kamil Wojciech Mikolaj; Randall Balestriero; Martin Grønnebæk Tolsgaard; Aasa Feragen; Mads Nielsen (CoRR, 2025)