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Glimpse: Generalized local imaging with mlps
Deep learning is the current de facto state of the art in tomographic imaging. A common
approach is to feed the result of a simple inversion, for example the backprojection, to a …
approach is to feed the result of a simple inversion, for example the backprojection, to a …
End-to-end localized deep learning for Cryo-ET
V Kishore, V Debarnot, RD Righetto… - arxiv preprint arxiv …, 2025 - arxiv.org
Cryo-electron tomography (cryo-ET) enables 3D visualization of cellular environments.
Accurate reconstruction of high-resolution volumes is complicated by the very low signal-to …
Accurate reconstruction of high-resolution volumes is complicated by the very low signal-to …
Injectivity and locality: robust deep learning for bayesian imaging
AE Khorashadizadeh - 2024 - edoc.unibas.ch
Imaging inverse problems are crucial in exploring and understanding various phenomena in
our universe. Astronomers decode light signals from distant galaxies, physicians use …
our universe. Astronomers decode light signals from distant galaxies, physicians use …