Deep Learning for Inverse Problems

Project: Funded research › Other mainly public funds

In this project deep learning approaches are used to solve problems in estimation theory and to solve particular inverse problems.

Status	Finished
Effective start/end date	01.03.2019 → 31.12.2019

Surfing Virtual Waves to Thermal Tomography: From model- to deep learning-based reconstructions
Kovacs, P., Lehner, B., Thummerer, G., Mayr, G., Burgholzer, P. & Huemer, M., Jan 2022, In: IEEE Signal Processing Magazine. 39, 1, p. 55-67 13 p.
Research output: Contribution to journal › Article › peer-review
A Hybrid Approach for Thermographic Imaging With Deep Learning
Kovacs, P., Lehner, B., Thummerer, G., Mayr, G., Burgholzer, P. & Huemer, M., May 2020, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). IEEE, p. 4277-4281 5 p. 9053411. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).
Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
Deep learning approaches for thermographic imaging
Kovacs, P., Lehner, B., Thummerer, G., Mayr, G., Burgholzer, P. & Huemer, M., 21 Oct 2020, In: Journal of Applied Physics. 128, 15, p. 155103 17 p., 155103.
Research output: Contribution to journal › Article › peer-review

A Hybrid Approach for Thermographic Imaging With Deep Learning
Kovacs, P. (Speaker)
08 May 2020
Activity: Talk or presentation › Contributed talk › science-to-science
Variable projection for multiple frequency estimation
Garcia Guzman, Y. (Speaker)
06 May 2020
Activity: Talk or presentation › Contributed talk › science-to-science

Project Details