Patient-specific detection of perfusion abnormalities combining within-subject and between-subject variances in Arterial Spin Labeling

By Camille Maumet, Pierre Maurel, J. Ferré, B. Carsin, C. Barillot. 2013

15 citations recorded by the source corpus.

Subfields: Biophysics, Radiology, Nuclear Medicine and Imaging

How researchers see this paper

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

In Biophysics

1. Ben Glocker
2. Ender Konukoglu

In Radiology, Nuclear Medicine and Imaging

1. Ben Glocker
2. Ender Konukoglu

Citations in the corpus

• Visual Feature Attribution Using Wasserstein GANs (2017, methodology): “took a one-versus-all group analysis approach [37, 36], while Konukoglu and Glocker extracted subject-specific maps with predictive models and Markov Random Field restoration [30, 31].”
• An a contrario approach for the detection of patient-specific brain perfusion abnormalities with arterial spin labelling (2016, unknown): “In (Maumet et al., 2013), we showed that using a heteroscedastic GLM should be favored (over the homoscedastic approach) in ASL studies studying single patients.”
• SubCMap: Subject and Condition Specific Effect Maps (2017, background): “Researchers have tackled this issue in [15, 16] by performing one-versus-all group analysis.”