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5 Publikationen

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[5]
2024 | Artikel | FH-PUB-ID: 5500 | OA
Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data
Z.H. Shah, M. Müller, W. Hübner, T.-C. Wang, D. Telman, T. Huser, W. Schenck, GigaScience 13 (2024).
HSBI-PUB | DOI | Download (ext.)
 
[4]
2024 | Artikel | FH-PUB-ID: 5499
Image restoration in frequency space using complex-valued CNNs
Z.H. Shah, M. Müller, W. Hübner, H. Ortkrass, B. Hammer, T. Huser, W. Schenck, Frontiers in Artificial Intelligence 7 (2024).
HSBI-PUB | DOI
 
[3]
2022 | Konferenzbeitrag | FH-PUB-ID: 2945
Impact of different loss functions on denoising of microscopic images
Z.H. Shah, M. Muller, B. Hammer, T. Huser, W. Schenck, in: 2022 International Joint Conference on Neural Networks (IJCNN), IEEE, 2022, pp. 1–10.
HSBI-PUB | DOI
 
[2]
2021 | Artikel | FH-PUB-ID: 1201 | OA
Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images
Z.H. Shah, M. Müller, T.-C. Wang, P.M. Scheidig, A. Schneider, M. Schüttpelz, T. Huser, W. Schenck, Photonics Research 9 (2021).
HSBI-PUB | DOI | Download (ext.)
 
[1]
2020 | Diskussionspapier | FH-PUB-ID: 2778 | OA
Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images
Z.H. Shah, M. Müller, T.-C. Wang, P.M. Scheidig, A. Schneider, M. Schüttpelz, T. Huser, W. Schenck, Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images, Cold Spring Harbor Laboratory, 2020.
HSBI-PUB | DOI | Download (ext.)
 

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5 Publikationen

Alle markieren

[5]
2024 | Artikel | FH-PUB-ID: 5500 | OA
Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data
Z.H. Shah, M. Müller, W. Hübner, T.-C. Wang, D. Telman, T. Huser, W. Schenck, GigaScience 13 (2024).
HSBI-PUB | DOI | Download (ext.)
 
[4]
2024 | Artikel | FH-PUB-ID: 5499
Image restoration in frequency space using complex-valued CNNs
Z.H. Shah, M. Müller, W. Hübner, H. Ortkrass, B. Hammer, T. Huser, W. Schenck, Frontiers in Artificial Intelligence 7 (2024).
HSBI-PUB | DOI
 
[3]
2022 | Konferenzbeitrag | FH-PUB-ID: 2945
Impact of different loss functions on denoising of microscopic images
Z.H. Shah, M. Muller, B. Hammer, T. Huser, W. Schenck, in: 2022 International Joint Conference on Neural Networks (IJCNN), IEEE, 2022, pp. 1–10.
HSBI-PUB | DOI
 
[2]
2021 | Artikel | FH-PUB-ID: 1201 | OA
Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images
Z.H. Shah, M. Müller, T.-C. Wang, P.M. Scheidig, A. Schneider, M. Schüttpelz, T. Huser, W. Schenck, Photonics Research 9 (2021).
HSBI-PUB | DOI | Download (ext.)
 
[1]
2020 | Diskussionspapier | FH-PUB-ID: 2778 | OA
Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images
Z.H. Shah, M. Müller, T.-C. Wang, P.M. Scheidig, A. Schneider, M. Schüttpelz, T. Huser, W. Schenck, Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images, Cold Spring Harbor Laboratory, 2020.
HSBI-PUB | DOI | Download (ext.)
 

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