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04/01/2023
Real-Time Tilt Undersampling Optimization during Electron Tomography of Beam Sensitive Samples using Golden Ratio Scanning and RECAST3D
Electron tomography is a widely used technique for 3D structural analysi...
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11/14/2022
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning
Graphics Processing Units (GPUs) have revolutionized the computing lands...
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10/04/2022
Benchmarking optimization algorithms for auto-tuning GPU kernels
Recent years have witnessed phenomenal growth in the application, and ca...
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01/28/2022
A tomographic workflow to enable deep learning for X-ray based foreign object detection
Detection of unwanted (`foreign') objects within products is a common pr...
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12/21/2021
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography
Advances in multi-spectral detectors are causing a paradigm shift in X-r...
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04/12/2021
Unsupervised foreign object detection based on dual-energy absorptiometry in the food industry
X-ray imaging is a widely used technique for non-destructive inspection ...
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12/24/2020
Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning
We present three parallel-beam tomographic datasets of 94 apples with in...
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02/03/2020
Atomic Super-Resolution Tomography
We consider the problem of reconstructing a nanocrystal at atomic resolu...
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05/12/2019
A Cone-Beam X-Ray CT Data Collection Designed for Machine Learning
Unlike previous works, this open data collection consists of X-ray cone-...
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08/28/2018