Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation.

By D. Yankelevitz, A. Reeves, W. Kostis, Binsheng Zhao, C. Henschke. Radiology, 2000

620 citations recorded by the source corpus.

Subfields: Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/4fa82990d73d379d23071db438d8720ada23e6d5

How researchers see this paper

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

In Pulmonary and Respiratory Medicine

1. Mathias Prokop
2. B. van Ginneken
3. Arnold M. R. Schilham

In Radiology, Nuclear Medicine and Imaging

1. B. van Ginneken
2. Mathias Prokop
3. Arnold M. R. Schilham

Citations in the corpus

• Clinical biomarkers in drug discovery and development (2003, neutral): “High-resolution CT combined with automated computational analysi”
• Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images (2003, methodology): “More recently, three-dimensional (3-D) measures of nodule volume, shape, and surface characteristics have been described in the literature [7]–[11].”