Zafran Hussain Shah
5 Publikationen
2024 | Artikel | FH-PUB-ID: 5500 | 
Shah, Z. H., Müller, M., Hübner, W., Wang, T.-C., Telman, D., Huser, T., & Schenck, W. (2024). Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data. GigaScience, 13. https://doi.org/10.1093/gigascience/giad109
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2024 | Artikel | FH-PUB-ID: 5499
Shah, Z. H., Müller, M., Hübner, W., Ortkrass, H., Hammer, B., Huser, T., & Schenck, W. (2024). Image restoration in frequency space using complex-valued CNNs. Frontiers in Artificial Intelligence, 7. https://doi.org/10.3389/frai.2024.1353873
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2022 | Konferenzbeitrag | FH-PUB-ID: 2945
Shah, Z. H., Muller, M., Hammer, B., Huser, T., & Schenck, W. (2022). Impact of different loss functions on denoising of microscopic images. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp. 1–10). Padua, Italy: IEEE. https://doi.org/10.1109/IJCNN55064.2022.9892936
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2021 | Artikel | FH-PUB-ID: 1201 |
Shah, Z. H., Müller, M., Wang, T.-C., Scheidig, P. M., Schneider, A., Schüttpelz, M., … Schenck, W. (2021). Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images. Photonics Research, 9(5). https://doi.org/10.1364/PRJ.416437
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2020 | Diskussionspapier | FH-PUB-ID: 2778 |
Shah, Z. H., Müller, M., Wang, T.-C., Scheidig, P. M., Schneider, A., Schüttpelz, M., … Schenck, W. (2020). Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2020.10.27.352633
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5 Publikationen
2024 | Artikel | FH-PUB-ID: 5500 |
Shah, Z. H., Müller, M., Hübner, W., Wang, T.-C., Telman, D., Huser, T., & Schenck, W. (2024). Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data. GigaScience, 13. https://doi.org/10.1093/gigascience/giad109
HSBI-PUB
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 5499
Shah, Z. H., Müller, M., Hübner, W., Ortkrass, H., Hammer, B., Huser, T., & Schenck, W. (2024). Image restoration in frequency space using complex-valued CNNs. Frontiers in Artificial Intelligence, 7. https://doi.org/10.3389/frai.2024.1353873
HSBI-PUB
| DOI
2022 | Konferenzbeitrag | FH-PUB-ID: 2945
Shah, Z. H., Muller, M., Hammer, B., Huser, T., & Schenck, W. (2022). Impact of different loss functions on denoising of microscopic images. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp. 1–10). Padua, Italy: IEEE. https://doi.org/10.1109/IJCNN55064.2022.9892936
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1201 |
Shah, Z. H., Müller, M., Wang, T.-C., Scheidig, P. M., Schneider, A., Schüttpelz, M., … Schenck, W. (2021). Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images. Photonics Research, 9(5). https://doi.org/10.1364/PRJ.416437
HSBI-PUB
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| Download (ext.)
2020 | Diskussionspapier | FH-PUB-ID: 2778 |
Shah, Z. H., Müller, M., Wang, T.-C., Scheidig, P. M., Schneider, A., Schüttpelz, M., … Schenck, W. (2020). Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2020.10.27.352633
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| Download (ext.)