Acquisition-invariant brain MRI segmentation with informative uncertainties

no code implementations • 7 Nov 2021 • Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Klaser, David Thomas, Ivana Drobnjak, Sebastien Ourselin, M Jorge Cardoso

Combining multi-site data can strengthen and uncover trends, but is a task that is marred by the influence of site-specific covariates that can bias the data and therefore any downstream analyses.

MRI segmentation Segmentation

The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties

no code implementations • 4 Nov 2021 • Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Klaser, David Thomas, Ivana Drobnjak, Sebastien Ourselin, M Jorge Cardoso

Being able to adequately process and combine data arising from different sites is crucial in neuroimaging, but is difficult, owing to site, sequence and acquisition-parameter dependent biases.

Brain Segmentation

PER Measurement of BLE in RF Interference and Harsh Electromagnetic Environment

no code implementations • 1 May 2021 • Mir Lodro, Gabriele Gradoni, Ana Vukovic, David Thomas, Steve Greedy

We check the PER performance in the line-of-sight (LOS) and non-line-of-sight (NLOS) scenario in absence of any interfering signal and in presence of wideband WLAN interference.

Near-field Image Transmission and EVM Measurements in Rich Scattering Environment

no code implementations • 31 Jan 2021 • Mir Lodro, Gabriele Gradoni, Christopher Smartt, Ana Vukovic, David Thomas, Steve Greedy

We focus on the key communication receiver parameters to observe the effect of near-field link in presence of rich-scattering and in presence of loading with RF absorber cones.