Image De-Quantization Using Plate Bending Model. - David Völgyes; Anne Catrine Trægde Martinsen; Arne Stray-Pedersen; Dag Waaler; Marius Pedersen (Algorithms, 2018)

A Weighted Histogram-Based Tone Mapping Algorithm for CT Images. - David Völgyes; Anne Catrine Trægde Martinsen; Arne Stray-Pedersen; Dag Waaler; Marius Pedersen (Algorithms, 2018)

CryoSat-2 waveform classification for melt event monitoring. - Martijn Vermeer; David Völgyes; Malcolm McMillan; Daniele Fantin (NLDL, 2022)

Mitral Annulus Segmentation and Anatomical Orientation Detection in TEE Images Using Periodic 3D CNN. - Børge Solli Andreassen; David Völgyes; Eigil Samset; Anne H. Schistad Solberg (IEEE Access, 2022)

Semi- and weak-supervised learning for Norwegian tree species detection. - Martijn Vermeer; David Völgyes; Tord Kriznik Sørensen; Heidrun Miller; Daniele Fantin (NLDL, 2023)

Atmospheric Corrections for Earth Observation with Deep Learning. - Kristoffer Langstad; David Völgyes; Eleonora Jonasova Parelius (IGARSS, 2024)

Introducing Anatomical Constraints in Mitral Annulus Segmentation in Transesophageal Echocardiography. - Børge Solli Andreassen; Sarina Thomas; Anne H. Schistad Solberg; Eigil Samset; David Völgyes (ASMUS@MICCAI, 2024)

Lidar-based Norwegian tree species detection using deep learning. - Martijn Vermeer; Jacob Alexander Hay; David Völgyes; Zsófia Koma; Johannes Breidenbach; Daniele Fantin (NLDL, 2024)

Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction From LiDAR Data With Limited Annotations. - Anuja Vats; David Völgyes; Martijn Vermeer; Marius Pedersen; Kiran B. Raja; Daniele S. M. Fantin; Jacob Alexander Hay (IEEE Trans. Geosci. Remote. Sens., 2024)