Data Analysis of Medical Images: CT, MRI, Phase Contrast X-ray and PET. - Anders Nymark Christensen (2016)

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 001; Knut Conradsen; Vedrana Andersen Dahl (SCIA (2), 2017)

Sparse Layered Graphs for Multi-Object Segmentation. - Niels Jeppesen; Anders Nymark Christensen; Vedrana Andersen Dahl; Anders B. Dahl (CVPR, 2020)

Faster Multi-Object Segmentation using Parallel Quadratic Pseudo-Boolean Optimization. - Niels Jeppesen; Patrick M. Jensen; Anders Nymark Christensen; Anders B. Dahl; Vedrana Andersen Dahl (ICCV, 2021)

Complex-valued neural networks for machine learning on non-stationary physical data. - Jesper Sören Dramsch; Mikael Lüthje; Anders Nymark Christensen (Comput. Geosci., 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)

Was that so Hard? Estimating Human Classification Difficulty. - Morten Rieger Hannemose; Josefine Vilsbøll Sundgaard; Niels Kvorning Ternov; Rasmus R. Paulsen; Anders Nymark Christensen (AMAI@MICCAI, 2022)

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)

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)

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)

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)

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 (NLDL, 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)

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)

Is This Hard for You? Personalized Human Difficulty Estimation for Skin Lesion Diagnosis. - Peter Johannes Tejlgaard Kampen; Anders Nymark Christensen; Morten Rieger Hannemose (MICCAI (12), 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)

Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. - 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 (ASMUS@MICCAI, 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)

MozzaVID: Mozzarella Volumetric Image Dataset. - Pawel Tomasz Pieta; Peter Winkel Rasmussen; Anders Bjorholm Dahl; Jeppe Revall Frisvad; Siavash Arjomand Bigdeli; Carsten Gundlach; Anders Nymark Christensen (CoRR, 2024)

Fast Sphericity and Roundness approximation in 2D and 3D using Local Thickness. - Pawel Tomasz Pieta; Peter Winkel Rasmussen; Anders Bjorholm Dahl; Anders Nymark Christensen (CVPR Workshops, 2025)

Spherical Harmonics Grid for Fast Ultrasound 3D Reconstruction. - Kamil Wojciech Mikolaj; Anders Nymark Christensen (SCIA (1), 2025)

Determining Fetal Orientations From Blind Sweep Ultrasound Video. - Jakub Maciej Wisniewski; Anders Nymark Christensen; Mary Ngo; Martin Grønnebæk Tolsgaard; Chun Kit Wong (SCIA (2), 2025)

Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D. - Pawel Tomasz Pieta; Anders Bjorholm Dahl; Jeppe Revall Frisvad; Siavash Arjomand Bigdeli; Anders Nymark Christensen (IEEE Access, 2025)

Predicting abnormal fetal growth using deep learning. - 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 (npj Digit. Medicine, 2025)

Fast Sphericity and Roundness approximation in 2D and 3D using Local Thickness. - Pawel Tomasz Pieta; Peter Winkel Rasumssen; Anders Bjorholm Dahl; Anders Nymark Christensen (CoRR, 2025)

General Methods Make Great Domain-specific Foundation Models: A Case-study on Fetal Ultrasound. - Jakob Ambsdorf; Asbjørn Munk; Sebastian Nørgaard Llambias; Anders Nymark Christensen; Kamil Wojciech Mikolaj; Randall Balestriero; Martin Grønnebæk Tolsgaard; Aasa Feragen; Mads Nielsen (CoRR, 2025)

Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation. - Changlu Guo; Anders Nymark Christensen; Morten Rieger Hannemose (CoRR, 2025)