Anders Nymark Christensen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Quality Assessment

Object Segmentation

Top Venues

Publications

Manxi Lin, Nina Weng, Kamil Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
Shortcut Learning in Medical Image Segmentation. CoRR (2024)
Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. CoRR (2024)
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
Learning semantic image quality for fetal ultrasound from noisy ranking annotation. CoRR (2024)
Chun Kit Wong, Mary Ngo, Manxi Lin, Zahra Bashir, Amihai Heen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound. CoRR (2024)
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
Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. ASMUS@MICCAI (2023)
Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen
An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. ASMUS@MICCAI (2023)
Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen
An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. CoRR (2023)
Manxi Lin, Kilian Zepf, Anders Nymark Christensen, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. IPMI (2023)
Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
Multi-modal data generation with a deep metric variational autoencoder. NLDL (2023)
Kamil Mikolaj, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
Removing confounding information from fetal ultrasound images. CoRR (2023)
Manxi Lin, Aasa Feragen, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen
I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks. CoRR (2022)
Manxi Lin, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. CoRR (2022)
Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen
Was that so hard? Estimating human classification difficulty. CoRR (2022)
Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen
Was that so Hard? Estimating Human Classification Difficulty. AMAI@MICCAI (2022)
Josefine Vilsbøll Sundgaard, Peter Bray, Søren Laugesen, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Anders Nymark Christensen, Rasmus R. Paulsen
A Deep Learning Approach for Detecting Otitis Media From Wideband Tympanometry Measurements. IEEE J. Biomed. Health Informatics 26 (7) (2022)
Jesper Sören Dramsch, Anders Nymark Christensen, Colin MacBeth, Mikael Lüthje
Deep Unsupervised 4-D Seismic 3-D Time-Shift Estimation With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
Multi-modal data generation with a deep metric variational autoencoder. CoRR (2022)
Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen
Complex-valued neural networks for machine learning on non-stationary physical data. Comput. Geosci. 146 (2021)
Niels Jeppesen, Patrick M. Jensen, Anders Nymark Christensen, Anders B. Dahl, Vedrana Andersen Dahl
Faster Multi-Object Segmentation using Parallel Quadratic Pseudo-Boolean Optimization. ICCV (2021)
Josefine Vilsbøll Sundgaard, James Michael Harte, Peter Bray, Søren Laugesen, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
Deep metric learning for otitis media classification. Medical Image Anal. 71 (2021)
Niels Jeppesen, Anders Nymark Christensen, Vedrana Andersen Dahl, Anders B. Dahl
Sparse Layered Graphs for Multi-Object Segmentation. CVPR (2020)
Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen
Complex-valued neural networks for machine learning on non-stationary physical data. CoRR (2019)
Anders Nymark Christensen, Christian Thode Larsen, Camilla Maria Mandrup, Martin Bæk Petersen, Rasmus Larsen, Knut Conradsen, Vedrana Andersen Dahl
Automatic Segmentation of Abdominal Fat in MRI-Scans, Using Graph-Cuts and Image Derived Energies. SCIA (2) (2017)