Anders Nymark Christensen

According to our database, Anders Nymark Christensen authored at least 19 papers between 2016 and 2024.

Collaborative distances:

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

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 Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen

CoRR, 2024

Shortcut Learning in Medical Image Segmentation.

Manxi Lin, Nina Weng, Kamil Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen

CoRR, 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

CoRR, 2024

2023

Removing confounding information from fetal ultrasound images.

Kamil Mikolaj, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen

CoRR, 2023

Multi-modal data generation with a deep metric variational autoencoder.

Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 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

A Deep Learning Approach for Detecting Otitis Media From Wideband Tympanometry Measurements.

Josefine Vilsbøll Sundgaard, Peter Bray, Søren Laugesen, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Anders Nymark Christensen, Rasmus R. Paulsen

IEEE J. Biomed. Health Informatics, 2022

Deep Unsupervised 4-D Seismic 3-D Time-Shift Estimation With Convolutional Neural Networks.

Jesper Sören Dramsch, Anders Nymark Christensen, Colin MacBeth, Mikael Lüthje

IEEE Trans. Geosci. Remote. Sens., 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

Was that so Hard? Estimating Human Classification Difficulty.

Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen

Proceedings of the Applications of Medical Artificial Intelligence, 2022

2021

Deep metric learning for otitis media classification.

Josefine Vilsbøll Sundgaard, James Michael Harte, Peter Bray, Søren Laugesen, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen

Medical Image Anal., 2021

Complex-valued neural networks for machine learning on non-stationary physical data.

Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen

Comput. Geosci., 2021

Faster Multi-Object Segmentation using Parallel Quadratic Pseudo-Boolean Optimization.

Niels Jeppesen, Patrick M. Jensen, Anders Nymark Christensen, Anders B. Dahl, Vedrana Andersen Dahl

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Sparse Layered Graphs for Multi-Object Segmentation.

Niels Jeppesen, Anders Nymark Christensen, Vedrana Andersen Dahl, Anders B. Dahl

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2017

Automatic Segmentation of Abdominal Fat in MRI-Scans, Using Graph-Cuts and Image Derived Energies.

Anders Nymark Christensen, Christian Thode Larsen, Camilla Maria Mandrup, Martin Bæk Petersen, Rasmus Larsen, Knut Conradsen, Vedrana Andersen Dahl

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

2016

Data Analysis of Medical Images: CT, MRI, Phase Contrast X-ray and PET.

Anders Nymark Christensen

PhD thesis, 2016