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Anders Nymark Christensen
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2020 – today
- 2024
- [c12]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. ISBI 2024: 1-5 - [c11]Peter Johannes Tejlgaard Kampen, Anders Nymark Christensen, Morten Rieger Hannemose:
Is This Hard for You? Personalized Human Difficulty Estimation for Skin Lesion Diagnosis. MICCAI (12) 2024: 175-184 - [c10]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:
Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. ASMUS@MICCAI 2024: 209-219 - [c9]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. MICCAI (8) 2024: 623-633 - [i13]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 abs/2402.08294 (2024) - [i12]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 abs/2403.06748 (2024) - [i11]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 abs/2403.08700 (2024) - [i10]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 abs/2404.00032 (2024) - [i9]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:
Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models. CoRR abs/2408.03654 (2024) - [i8]Pawel Pieta, Anders Bjorholm Dahl, Jeppe Revall Frisvad, Siavash Arjomand Bigdeli, Anders Nymark Christensen:
Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D. CoRR abs/2409.13389 (2024) - 2023
- [c8]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: 654-666 - [c7]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: 13-22 - [c6]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: 57-67 - [c5]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 - [i7]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 abs/2303.13918 (2023) - [i6]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 abs/2304.05463 (2023) - 2022
- [j4]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: 1-16 (2022) - [j3]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): 2974-2982 (2022) - [c4]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: 88-97 - [i5]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 abs/2202.03434 (2022) - [i4]Morten Rieger Hannemose, Josefine Vilsbøll Sundgaard, Niels Kvorning Ternov, Rasmus R. Paulsen, Anders Nymark Christensen:
Was that so hard? Estimating human classification difficulty. CoRR abs/2203.11824 (2022) - [i3]Manxi Lin, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen:
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation. CoRR abs/2205.11115 (2022) - [i2]Manxi Lin, Aasa Feragen, Zahra Bashir, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen:
I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks. CoRR abs/2211.10630 (2022) - 2021
- [j2]Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen:
Complex-valued neural networks for machine learning on non-stationary physical data. Comput. Geosci. 146: 104643 (2021) - [j1]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: 102034 (2021) - [c3]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: 6240-6249 - 2020
- [c2]Niels Jeppesen, Anders Nymark Christensen, Vedrana Andersen Dahl, Anders B. Dahl:
Sparse Layered Graphs for Multi-Object Segmentation. CVPR 2020: 12774-12782
2010 – 2019
- 2019
- [i1]Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen:
Complex-valued neural networks for machine learning on non-stationary physical data. CoRR abs/1905.12321 (2019) - 2017
- [c1]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: 109-120 - 2016
- [b1]Anders Nymark Christensen:
Data Analysis of Medical Images: CT, MRI, Phase Contrast X-ray and PET. Technical University of Denmark, 2016
Coauthor Index
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