CHAPTER 2 – Statistical parametric mapping
By Karl J. Friston. 2007
670 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/c1138c3b7dfde65ca34b89291c4a6633b9cd4bea
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Abhishek Datta
- Sandeep Kaushik
- Yu Huang
- Mohit Sharma
- Lucas C. Parra
- Marom Bikson
- Sabyasachi Dash
- Sushil Kumar Shakyawar
In Radiology, Nuclear Medicine and Imaging
- Abhishek Datta
- Sandeep Kaushik
- Yu Huang
- Mohit Sharma
- Lucas C. Parra
- Marom Bikson
- Sabyasachi Dash
- Sushil Kumar Shakyawar
Citations in the corpus
- Big data in healthcare: management, analysis and future prospects (2019, methodology): “For example, Visualization Toolkit is a freely available software which allows powerful processing and analysis of 3D images from medical tests [23], while SPM can process and analyze 5 different types of brain images (e.g. MRI, fMRI, PET, CT-Scan and EEG) [24].”
- Realistic volumetric-approach to simulate transcranial electric stimulation—ROAST—a fully automated open-source pipeline (2017, methodology): “For example, SPM (Statistical Parametric Mapping, Friston (2007)), FSL (FMRIB Software Library, Smith (2002); Smith et al. (2004)) and FreeSurfer (Dale et al., 1999; Fischl et al., 1999) can all generate segmentations for the brain and head, with each one having di ff erent pros and cons (for a…”