An a contrario approach for the detection of patient-specific brain perfusion abnormalities with arterial spin labelling

By Camille Maumet, Pierre Maurel, J. Ferré, C. Barillot. 2016

12 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, 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 Cognitive Neuroscience

1. Ben Glocker
2. Ender Konukoglu

In Computer Vision and Pattern Recognition

1. Ben Glocker
2. Ender Konukoglu
3. Christian F. Baumgartner
4. Jia Xi Ang
5. Lisa M. Koch
6. Kerem Can Tezcan
7. Luc Van Gool
8. Nikos Paragios

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].”
• SubCMap: Subject and Condition Specific Effect Maps (2017, background): “Researchers have tackled this issue in [15, 16] by performing one-versus-all group analysis.”
• Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases (2016, methodology): “This approach has been applied to brain lesion [13,14,15,16] and recently to neurodegenerative diseases [17].”