Just-in-time deep learning for real-time X-ray computed tomography
Real-time X-ray tomography pipelines, such as implemented by RECAST3D, compute and
visualize tomographic reconstructions in milliseconds, and enable the observation of …
visualize tomographic reconstructions in milliseconds, and enable the observation of …
[PDF][PDF] DLSIA: Deep Learning for Scientific Image Analysis
EJ Roberts, T Chavez, A Hexemer… - Journal of Applied …, 2024 - journals.iucr.org
DLSIA (Deep Learning for Scientific Image Analysis) is a Python-based machine learning
library that empowers scientists and researchers across diverse scientific domains with a …
library that empowers scientists and researchers across diverse scientific domains with a …
Auto-compressing subset pruning for semantic image segmentation
K Ditschuneit, JS Otterbach - DAGM German Conference on Pattern …, 2022 - Springer
State-of-the-art semantic segmentation models are characterized by high parameter counts
and slow inference times, making them unsuitable for deployment in resource-constrained …
and slow inference times, making them unsuitable for deployment in resource-constrained …
[PDF][PDF] Spectral imaging and tomographic reconstruction methods for industrial applications
MT Zeegers - 2023 - scholarlypublications …
[1] W. van Aarle, WJ Palenstijn, J. Cant, E. Janssens, F. Bleichrodt, A. Dabravolski, J. De
Beenhouwer, KJ Batenburg, and J. Sijbers.“Fast and flexible X-ray tomography using the …
Beenhouwer, KJ Batenburg, and J. Sijbers.“Fast and flexible X-ray tomography using the …