A. Christensen

发表

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

M. Lüthje, J. Dramsch, C. MacBeth, 2019 .

Characterization of the fiber orientations in non-crimp glass fiber reinforced composites using structure tensor

Vedrana Andersen Dahl, A. Dahl, A. Christensen, 2020 .

DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation

A. Christensen, A. Feragen, M. Tolsgaard, 2022, ArXiv.

A new self-made digital slide scanner and microscope for imaging and quantification of fluorescent microspheres

G. Greisen, I. Law, A. Christensen, 2015 .

Generalizability and usefulness of artificial intelligence for skin cancer diagnostics: An algorithm validation study

L. Konge, M. Hannemose, P. Guitera, 2022, JEADV Clinical Practice.

I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks

A. Christensen, A. Feragen, M. Tolsgaard, 2022, ArXiv.

Deep metric learning for otitis media classification

Rasmus R. Paulsen, James Michael Harte, Søren Laugesen, 2021, Medical Image Anal..

Multi-modal data generation with a deep metric variational autoencoder

Josefine Vilsbøll Sundgaard, M. Hannemose, R. Paulsen, 2022, NLDL.

Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization

K. Lekadir, A. Christensen, A. Feragen, 2023, Scientific Reports.

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

Colin MacBeth, Jesper Sören Dramsch, Mikael Lüthje, 2021, IEEE Transactions on Geoscience and Remote Sensing.

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

Jesper Sören Dramsch, Mikael Lüthje, Anders Nymark Christensen, 2019, Comput. Geosci..

DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation

A. Christensen, M. Tolsgaard, Manxi Lin, 2022, IPMI.