activity
20102022
most citedSelf-similar correlation function in brain resting-state fMRI

152 citations · 206 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury

Margherita Rosnati, Eyal Soreq, Miguel Monteiro +8

The accurate prognosis for traumatic brain injury (TBI) patients is difficult yet essential to inform therapy, patient management, and long-term after-care. Patient characteristics…

cs.CV2022

Distributional Gaussian Processes Layers for Out-of-Distribution Detection

Sebastian G. Popescu, David J. Sharp, James H. Cole +2

Machine learning models deployed on medical imaging tasks must be equipped with out-of-distribution detection capabilities in order to avoid erroneous predictions. It is unsure whe…

q-bio.NC2016★ 15 cited

Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization

Romy Lorenz, Ricardo Pio Monti, Adam Hampshire +7

Non-invasive brain stimulation, such as transcranial alternating current stimulation (tACS) provides a powerful tool to directly modulate brain oscillations that mediate complex co…

stat.ML2013★ 8 cited

Estimating Time-varying Brain Connectivity Networks from Functional MRI Time Series

Ricardo Pio Monti, Peter Hellyer, David Sharp +3

Understanding the functional architecture of the brain in terms of networks is becoming increasingly common. In most fMRI applications functional networks are assumed to be station…

q-bio.NC2013★ 31 cited

Spatial dependency between task positive and task negative networks

Robert Leech, Gregory T. Scott, Robin Carhart-Harris +3

Functional neuroimaging reveals both relative increases (task-positive) and decreases (task-negative) in neural activation with many tasks. There are strong spatial similarities be…

q-bio.NC2010★ 152 cited

Self-similar correlation function in brain resting-state fMRI

Paul Expert, Renaud Lambiotte, Dante R. Chialvo +4

Adaptive behavior, cognition and emotion are the result of a bewildering variety of brain spatiotemporal activity patterns. An important problem in neuroscience is to understand th…