activity
20192022
most citedA Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

164 citations · 309 across the 5 of their papers we have counts for

collaborators

6 papers

physics.bio-ph2022

Microscopic-scale recording of brain neuronal electrical activity using a diamond quantum sensor

Nikolaj Winther Hansen, James Luke Webb, Luca Troise +13

An important tool in the investigation of the early stages of neurodegenerative disease is the study of dissected living tissue from the brain of an animal model. Such investigatio…

cs.CV2022★ 2 cited

An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation

Stefano Cerri, Douglas N. Greve, Andrew Hoopes +4

In this paper we describe and validate a longitudinal method for whole-brain segmentation of longitudinal MRI scans. It builds upon an existing whole-brain segmentation method that…

physics.bio-ph2021★ 1 cited

Laser stimulation of muscle activity with simultaneous detection using a diamond colour centre biosensor

Luca Troise, Nikolaj Winther Hansen, Christoffer Olsson +13

The detection of physiological activity at the microscopic level is key for understanding the function of biosystems and relating this to physical structure. Current sensing method…

eess.IV2020★ 164 cited

A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

Stefano Cerri, Oula Puonti, Dominik S. Meier +4

Here we present a method for the simultaneous segmentation of white matter lesions and normal-appearing neuroanatomical structures from multi-contrast brain MRI scans of multiple s…

physics.med-ph2019★ 142 cited

Accessibility of Cortical Regions to Focal TES: Dependence on Spatial Position, Safety, and Practical Constraints

Guilherme Bicalho Saturnino, Hartwig Roman Siebner, Axel Thielscher +1

Transcranial electric stimulation (TES) can modulate intrinsic neural activity in the brain by injecting weak currents through electrodes attached to the scalp. TES has been widely…

econ.GN2019

Ergodicity-breaking reveals time optimal decision making in humans

David Meder, Finn Rabe, Tobias Morville +5

Ergodicity describes an equivalence between the expectation value and the time average of observables. Applied to human behaviour, ergodic theories of decision-making reveal how in…