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Found 4 papers, 2 papers with code
AutoCT: Automated CT registration, segmentation, and quantification
The processing and analysis of computed tomography (CT) imaging is important for both basic scientific development and clinical applications.
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography
However, obtaining high-quality object reconstructions for the training dataset requires high x-ray dose measurements that can destroy or alter the specimen before imaging is complete.
Quantum pixel representations and compression for $N$-dimensional images
We introduce a novel and uniform framework for quantum pixel representations that overarches many of the most popular representations proposed in the recent literature, such as (I)FRQI, (I)NEQR, MCRQI, and (I)NCQI.
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization
We present a new software, HYPPO, that enables the automatic tuning of hyperparameters of various deep learning (DL) models.
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