DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. - Manxi Lin; Zahra Bashir; Martin Grønnebæk Tolsgaard; Anders Nymark Christensen; Aasa Feragen (CoRR, 2022)

I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks. - Manxi Lin; Aasa Feragen; Zahra Bashir; Martin Grønnebæk Tolsgaard; Anders Nymark Christensen (CoRR, 2022)

DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. - Manxi Lin; Kilian Zepf; Anders Nymark Christensen; Zahra Bashir; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Aasa Feragen (IPMI, 2023)

Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. - 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 (ASMUS@MICCAI, 2023)

An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. - Chun Kit Wong; Manxi Lin; Alberto Raheli; Zahra Bashir; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Aasa Feragen; Anders Nymark Christensen (ASMUS@MICCAI, 2023)

Removing confounding information from fetal ultrasound images. - Kamil Wojciech Mikolaj; Manxi Lin; Zahra Bashir; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Anders Nymark Christensen; Aasa Feragen (CoRR, 2023)

Assessing the Interpretability of Programmatic Policies with Large Language Models. - Zahra Bashir; Michael Bowling; Levi H. S. Lelis (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)

Shortcut Learning in Medical Image Segmentation. - Manxi Lin; Nina Weng; Kamil Wojciech Mikolaj; Zahra Bashir; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Anders Nymark Christensen; Aasa Feragen (MICCAI (8), 2024)

Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. - Paraskevas Pegios; Manxi Lin; Nina Weng; Morten Bo Søndergaard Svendsen; Zahra Bashir; Siavash Arjomand Bigdeli; Anders Nymark Christensen; Martin Grønnebæk Tolsgaard; Aasa Feragen (CoRR, 2024)

Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound. - Chun Kit Wong; Mary Ngo; Manxi Lin; Zahra Bashir; Amihai Heen; Morten Bo Søndergaard Svendsen; Martin Grønnebæk Tolsgaard; Anders Nymark Christensen; Aasa Feragen (CoRR, 2024)