David Völgyes

Orcid: 0000-0001-9723-5532

According to our database1, David Völgyes authored at least 9 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction From LiDAR Data With Limited Annotations.
IEEE Trans. Geosci. Remote. Sens., 2024

Lidar-based Norwegian tree species detection using deep learning.
Proceedings of the Northern Lights Deep Learning Conference, 2024

Introducing Anatomical Constraints in Mitral Annulus Segmentation in Transesophageal Echocardiography.
Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

Atmospheric Corrections for Earth Observation with Deep Learning.
Proceedings of the IGARSS 2024, 2024

2023
Semi- and weak-supervised learning for Norwegian tree species detection.
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

2022
Mitral Annulus Segmentation and Anatomical Orientation Detection in TEE Images Using Periodic 3D CNN.
IEEE Access, 2022

CryoSat-2 waveform classification for melt event monitoring.
Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

2018
A Weighted Histogram-Based Tone Mapping Algorithm for CT Images.
Algorithms, 2018

Image De-Quantization Using Plate Bending Model.
Algorithms, 2018


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