DART: A Practical Reconstruction Algorithm for Discrete Tomography

By Kees Joost Batenburg, Jan Sijbers. IEEE Transactions on Image Processing, 2011

324 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/51f942a93fdf4ebf6303cb9ec4360f6b8c50f131

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Ozan Öktem
2. Jonas Adler
3. Paulo J. M. Monteiro
4. Shuhao Cao

In Computer Vision and Pattern Recognition

1. M. Serdar
2. S. Brisard
3. Paulo J. M. Monteiro
4. Jonas Adler
5. Ozan Öktem

In Radiology, Nuclear Medicine and Imaging

1. Jonas Adler
2. Ozan Öktem
3. Jong Chul Ye
4. Zongben Xu
5. Yoseob Han

Citations in the corpus

• Multiscale X-ray tomography of cementitious materials: A review (2020, background): “It is possible to introduce box constraints [59, 60], various regularization terms [59, 61], or even perform reconstruction and segmentation simultaneously [62, 63].”
• Solving ill-posed inverse problems using iterative deep neural networks (2017, background): “Other examples are joint image reconstruction and segmentation [5, 28, 34] and shape based reconstruction [17, 18, 30].”