# Deep Learning Based Computed Tomography Whys and Wherefores

arXiv: https://arxiv.org/abs/1904.03908 · HTML: https://mlsanity.com/paper/1904.03908/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Apr 2019.

## Built on by (most cited first, 2 of 2)

- [A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography](https://mlsanity.com/paper/2211.00002/) (2022)
- [HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization](https://mlsanity.com/paper/2110.01698/) (2021)

## Abstract (arXiv)

This is an article about the Computed Tomography (CT) and how Deep Learning influences CT reconstruction pipeline, especially in low dose scenarios.