Anders Nymark Christensen

49 papers A* 2Journal 28Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MaskDiME: Adaptive Masked Diffusion for Precise and Efficient Visual Counterfactual Explanations. CoRR Changlu Guo, Anders Nymark Christensen, Anders Bjorholm Dahl, Morten Rieger Hannemose
2025	—	`conf`	Determining Fetal Orientations From Blind Sweep Ultrasound Video. SCIA (2) Jakub Maciej Wisniewski, Anders Nymark Christensen, Mary Ngo, Martin Grønnebæk Tolsgaard, Chun Kit Wong
2025	J	`jnl`	Determining Fetal Orientations From Blind Sweep Ultrasound Video. CoRR Jakub Maciej Wisniewski, Anders Nymark Christensen, Mary Ngo, Martin Grønnebæk Tolsgaard, Chun Kit Wong
2025	—	`conf`	Diffusion-Based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. ASMUS@MICCAI Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Arjomand Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	—	`conf`	Fast Sphericity and Roundness approximation in 2D and 3D using Local Thickness. CVPR Workshops Pawel Tomasz Pieta, Peter Winkel Rasmussen, Anders Bjorholm Dahl, Anders Nymark Christensen
2025	J	`jnl`	Fast Sphericity and Roundness approximation in 2D and 3D using Local Thickness. CoRR Pawel Tomasz Pieta, Peter Winkel Rasumssen, Anders Bjorholm Dahl, Anders Nymark Christensen
2025	J	`jnl`	Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D. IEEE Access Pawel Tomasz Pieta, Anders Bjorholm Dahl, Jeppe Revall Frisvad, Siavash Arjomand Bigdeli, Anders Nymark Christensen
2025	—	`conf`	General Methods Make Great Domain-Specific Foundation Models: A Case-Study on Fetal Ultrasound. MICCAI (7) Jakob Ambsdorf, Asbjørn Munk, Sebastian Nørgaard Llambias, Anders Nymark Christensen, Kamil Wojciech Mikolaj, Randall Balestriero, Martin Grønnebæk Tolsgaard, Aasa Feragen, Mads Nielsen
2025	J	`jnl`	General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound. CoRR Jakob Ambsdorf, Asbjørn Munk, Sebastian Nørgaard Llambias, Anders Nymark Christensen, Kamil Wojciech Mikolaj, Randall Balestriero, Martin Grønnebæk Tolsgaard, Aasa Feragen, Mads Nielsen
2025	—	`conf`	Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. MICCAI (7) Chun Kit Wong, Anders Nymark Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	J	`jnl`	Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound. CoRR Chun Kit Wong, Anders Nymark Christensen, Cosmin I. Bercea, Julia A. Schnabel, Martin Grønnebæk Tolsgaard, Aasa Feragen
2025	—	`conf`	Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation. DGM4MICCAI@MICCAI Changlu Guo, Anders Nymark Christensen, Morten Rieger Hannemose
2025	J	`jnl`	Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation. CoRR Changlu Guo, Anders Nymark Christensen, Morten Rieger Hannemose
2025	J	`jnl`	Predicting abnormal fetal growth using deep learning. npj Digit. Medicine Kamil Wojciech Mikolaj, Anders Nymark Christensen, Caroline Taksøe-Vester, Aasa Feragen, Olav Bjørn Petersen, Manxi Lin, Mads Nielsen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard
2025	J	`jnl`	SA-UNetv2: Rethinking Spatial Attention U-Net for Retinal Vessel Segmentation. CoRR Changlu Guo, Anders Nymark Christensen, Anders Bjorholm Dahl, Yugen Yi, Morten Rieger Hannemose
2025	—	`conf`	Spherical Harmonics Grid for Fast Ultrasound 3D Reconstruction. SCIA (1) Kamil Wojciech Mikolaj, Anders Nymark Christensen
2025	—	`conf`	Uncertainty-Aware Classification: A Human-Guided Bayesian Deep Learning Framework. UNSURE@MICCAI Peter Johannes Tejlgaard Kampen, Marcel Reimann, Morten Rieger Hannemose, Anders Nymark Christensen, Miriam Kolko, Anders Bjorholm Dahl, Josefine Vilsbøll Sundgaard
2025	J	`jnl`	Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models. CoRR Chun Kit Wong, Paraskevas Pegios, Nina Weng, Emilie Pi Fogtmann Sejer, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	J	`jnl`	Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound. CoRR Chun Kit Wong, Mary Ngo, Manxi Lin, Zahra Bashir, Amihai Heen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	J	`jnl`	Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment. CoRR Paraskevas Pegios, Manxi Lin, Nina Weng, Morten Bo Søndergaard Svendsen, Zahra Bashir, Siavash Arjomand Bigdeli, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2024	J	`jnl`	Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D. CoRR Pawel Tomasz Pieta, Anders Bjorholm Dahl, Jeppe Revall Frisvad, Siavash Arjomand Bigdeli, Anders Nymark Christensen
2024	—	`conf`	Is This Hard for You? Personalized Human Difficulty Estimation for Skin Lesion Diagnosis. MICCAI (12) Peter Johannes Tejlgaard Kampen, Anders Nymark Christensen, Morten Rieger Hannemose
2024	—	`conf`	Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation. ISBI 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
2024	J	`jnl`	Learning semantic image quality for fetal ultrasound from noisy ranking annotation. CoRR 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
2024	J	`jnl`	MozzaVID: Mozzarella Volumetric Image Dataset. CoRR Pawel Tomasz Pieta, Peter Winkel Rasmussen, Anders Bjorholm Dahl, Jeppe Revall Frisvad, Siavash Arjomand Bigdeli, Carsten Gundlach, Anders Nymark Christensen
2024	—	`conf`	Shortcut Learning in Medical Image Segmentation. MICCAI (8) Manxi Lin, Nina Weng, Kamil Wojciech Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	J	`jnl`	Shortcut Learning in Medical Image Segmentation. CoRR Manxi Lin, Nina Weng, Kamil Wojciech Mikolaj, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2024	—	`conf`	Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. ASMUS@MICCAI 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
2024	J	`jnl`	Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models. CoRR 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
2023	—	`conf`	An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. ASMUS@MICCAI Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen
2023	J	`jnl`	An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. CoRR Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen
2023	—	`conf`	DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. IPMI Manxi Lin, Kilian Zepf, Anders Nymark Christensen, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen
2023	—	`conf`	Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. ASMUS@MICCAI 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
2023	—	`conf`	Multi-modal data generation with a deep metric variational autoencoder. NLDL Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
2023	J	`jnl`	Removing confounding information from fetal ultrasound images. CoRR Kamil Wojciech Mikolaj, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2022	J	`jnl`	A Deep Learning Approach for Detecting Otitis Media From Wideband Tympanometry Measurements. IEEE J. Biomed. Health Informatics Josefine Vilsbøll Sundgaard, Peter Bray, Søren Laugesen, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Anders Nymark Christensen, Rasmus R. Paulsen
2022	J	`jnl`	DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. CoRR Manxi Lin, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen
2022	J	`jnl`	Deep Unsupervised 4-D Seismic 3-D Time-Shift Estimation With Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. Jesper Sören Dramsch, Anders Nymark Christensen, Colin MacBeth, Mikael Lüthje
2022	J	`jnl`	I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks. CoRR Manxi Lin, Aasa Feragen, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen
2022	J	`jnl`	Multi-modal data generation with a deep metric variational autoencoder. CoRR Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Michael Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
2022	—	`conf`	Was that so Hard? Estimating Human Classification Difficulty. AMAI@MICCAI Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen
2022	J	`jnl`	Was that so hard? Estimating human classification difficulty. CoRR Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen
2021	J	`jnl`	Complex-valued neural networks for machine learning on non-stationary physical data. Comput. Geosci. Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen
2021	J	`jnl`	Deep metric learning for otitis media classification. Medical Image Anal. Josefine Vilsbøll Sundgaard, James Michael Harte, Peter Bray, Søren Laugesen, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
2021	A*	`conf`	Faster Multi-Object Segmentation using Parallel Quadratic Pseudo-Boolean Optimization. ICCV Niels Jeppesen, Patrick M. Jensen, Anders Nymark Christensen, Anders B. Dahl, Vedrana Andersen Dahl
2020	A*	`conf`	Sparse Layered Graphs for Multi-Object Segmentation. CVPR Niels Jeppesen, Anders Nymark Christensen, Vedrana Andersen Dahl, Anders B. Dahl
2019	J	`jnl`	Complex-valued neural networks for machine learning on non-stationary physical data. CoRR Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen
2017	—	`conf`	Automatic Segmentation of Abdominal Fat in MRI-Scans, Using Graph-Cuts and Image Derived Energies. SCIA (2) Anders Nymark Christensen, Christian Thode Larsen, Camilla Maria Mandrup, Martin Bæk Petersen, Rasmus Larsen, Knut Conradsen, Vedrana Andersen Dahl
2016	—	`—`	Data Analysis of Medical Images: CT, MRI, Phase Contrast X-ray and PET. Anders Nymark Christensen