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Mirpeyman Seyyedmohammadidizaj [59137]

Osebna bibliografija za leto 2026

ČLANKI IN DRUGI SESTAVNI DELI

1.08 Objavljeni znanstveni prispevek na konferenci

1. CUGMAS, Blaž, STRUC, Eva, SEYYEDMOHAMMADIDIZAJ, Mirpeyman, BÜRMEN, Miran, NAGLIČ, Peter, IVANOVS, Maksims. Comparative visual evaluation of iteratively and GAN-reconstructed lensless digital in-line holographic images for classifying canine-allergenic pollen types. V: POPP, Jürgen (ur.), GERGELY, Csilla (ur.). Biomedical Spectroscopy, Microscopy, and Imaging IV : SPIE Photonics Europe : 12-17 April 2026, Strasbourg, France. Bellingham: SPIE, 2026. 5 str., ilustr. Proceedings of SPIE, vol. 14094. ISSN 1996-756X. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/14094/3100200/Comparative-visual-evaluation-of-iteratively-and-GAN-reconstructed-lensless-digital/10.1117/12.3100200.full, DOI: 10.1117/12.3100200. [COBISS.SI-ID 288916227]
2. SEYYEDMOHAMMADIDIZAJ, Mirpeyman, CUGMAS, Blaž, STRUC, Eva, BÜRMEN, Miran. Comparison of physics-informed and GAN-based deep learning for digital inline holographic reconstruction of pollen samples. V: GEORGAKOUDI, Irene (ur.), GEORGES, Marc P. (ur.), VERRIER, Nicolas (ur.). Unconventional Optical Imaging V : 13–16 April 2026 : Strasbourg, France. Bellingham: SPIE, cop. 2026. 4 str., ilustr. Proceedings of SPIE, Vol. 14083. ISBN 979-8-90-232126-2. ISSN 1996-756X. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/14083/3097912/Comparison-of-physics-informed-and-GAN-based-deep-learning-for/10.1117/12.3097912.full, DOI: 10.1117/12.3097912. [COBISS.SI-ID 288935683]

IZVEDENA DELA (DOGODKI)

3.15 Prispevek na konferenci brez natisa

3. SEYYEDMOHAMMADIDIZAJ, Mirpeyman, CUGMAS, Blaž, STRUC, Eva, BÜRMEN, Miran. Physics-informed deep learning for holographic reconstruction of pollen samples in digital in-line holographic and lensless microscopy : poster presentation at II International Summer School: Holography and Beyond, University of Alicante, Alicante, Spain, 29 June – 3 July 2026. [COBISS.SI-ID 289221379]
4. SEYYEDMOHAMMADIDIZAJ, Mirpeyman, CUGMAS, Blaž, STRUC, Eva, BÜRMEN, Miran. Physics-informed deep learning for holographic reconstruction of pollen samples in digital in-line holographic and lensless microscopy : poster presentation at The Bad Honnef Physics School on Physics of Imaging: Holography, Ptychography, Tomography et al. & AI, Deutsche Physikalische Gesellschaft (DPG), Bad Honnef, Germany, 5–10 July 2026. [COBISS.SI-ID 289210883]