Zahra Bashir

According to our database, Zahra Bashir authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Testing 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

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

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

Proceedings of the Simplifying Medical Ultrasound - 6th International Workshop, 2025

SEGClobber - A Linear Clobber Solver.

Taylor Folkersen, Zahra Bashir, Fatemeh Tavakoli, Martin Müller

Proceedings of the Advances in Computer Games - 19th International Conference, 2025

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Assessing the Interpretability of Programmatic Policies with Large Language Models.

Zahra Bashir, Michael Bowling, Levi H. S. Lelis

CoRR, 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

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

Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 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

Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

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

Proceedings of the Information Processing in Medical Imaging, 2023

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, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen

CoRR, 2022