Convolutional neural networks for SAR image segmentation. - David Malmgren-Hansen; Morten Nobel-Jørgensen (ISSPIT, 2015)

Spatial noise-aware temperature retrieval from infrared sounder data. - David Malmgren-Hansen; Valero Laparra; Allan Aasbjerg Nielsen; Gustau Camps-Valls (IGARSS, 2017)

Analyzing Learned Convnet Features with Dirichlet Process Gaussian Mixture Models. - David Malmgren-Hansen; Allan Aasbjerg Nielsen; Rasmus Engholm (CoRR, 2017)

Improving SAR Automatic Target Recognition Models With Transfer Learning From Simulated Data. - David Malmgren-Hansen; Anders Kusk; Jørgen Dall; Allan Aasbjerg Nielsen; Rasmus Engholm; Henning Skriver (IEEE Geosci. Remote. Sens. Lett., 2017)

Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. - David Malmgren-Hansen; Allan Aasbjerg Nielsen; Valero Laparra; Gustau Camps-Valls (IGARSS, 2018)

Convolutional Neural Networks - Generalizability and Interpretations. - David Malmgren-Hansen (2018)

Sparse-View Spectral CT Reconstruction Using Deep Learning. - Wail Mustafa; Christian Kehl; Ulrik Lund Olsen; Søren Kimmer Schou Gregersen; David Malmgren-Hansen; Jan Kehres; Anders Bjorholm Dahl (CoRR, 2020)

Sentinel-1 Change Detection Analysis for Cyclone Damage Assessment in Urban Environments. - David Malmgren-Hansen; Thomas Sohnesen; Peter Fisker; Javier Baez (Remote. Sens., 2020)

Explainability in CNN Models By Means of Z-Scores. - David Malmgren-Hansen; Allan Aasbjerg Nielsen; Leif Toudal Pedersen (CoRR, 2021)

A Convolutional Neural Network Architecture for Sentinel-1 and AMSR2 Data Fusion. - David Malmgren-Hansen; Leif Toudal Pedersen; Allan Aasbjerg Nielsen; Matilde Brandt Kreiner; Roberto Saldo; Henning Skriver; John Lavelle; Jørgen Buus-Hinkler; Klaus A. Harnvig Krane (IEEE Trans. Geosci. Remote. Sens., 2021)