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3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture
To the best of our knowledge, this work is the first to apply an unrolled deep learning architecture for reconstruction on full-sized clinical data, like those in the Low dose CT image and projection data set (LDCT).
Deep learning based dictionary learning and tomographic image reconstruction
This work presents an approach for image reconstruction in clinical low-dose tomography that combines principles from sparse signal processing with ideas from deep learning.
A Language for Describing Optimization Strategies
In contrast to systems with scheduling APIs, in Elevate programmers are not restricted to a set of built-in optimizations but define their own optimization strategies freely in a composable way.
Programming Languages Performance
