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pro vyhledávání: '"Ashesh, Ashesh"'
Microscopy is routinely used to image biological structures of interest. Due to imaging constraints, acquired images, also called as micrographs, are typically low-SNR and contain noise. Over the last few years, regression-based tasks like unsupervis
Externí odkaz:
http://arxiv.org/abs/2408.08747
Autor:
Ashesh, Ashesh, Jug, Florian
In this work, we present denoiSplit, a method to tackle a new analysis task, i.e. the challenge of joint semantic image splitting and unsupervised denoising. This dual approach has important applications in fluorescence microscopy, where semantic ima
Externí odkaz:
http://arxiv.org/abs/2403.11854
Publikováno v:
Artificial Intelligence for the Earth Systems. 1
Deep learning models are developed for high-resolution quantitative precipitation nowcasting (QPN) in Taiwan up to 3 h ahead. Many recent works aim to accurately predict relatively rare high-rainfall events with the help of deep learning. This rarity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2efdfc11cd1bb2d03b22fdcb1218ea52
https://doi.org/10.1175/aies-d-21-0005.1
https://doi.org/10.1175/aies-d-21-0005.1
Publikováno v:
In Biophysical Journal 8 February 2024 123(3) Supplement 1:553a-553a