Selective learning for sensing using shift-invariant spectrally stable undersampled networks.

The amount of data collected for sensing tasks in scientific computing is based on the Shannon-Nyquist sampling theorem proposed in the 1940s. Sensor data generation will surpass 73 trillion GB by 2025 as we increase the high-fidelity digitization of the physical world. Skyrocketing data infrastructure costs and time to maintain and compute on all this data are increasingly common.

A Novel Approach to Decode Covert Spatial Attention Using SSVEP and Single-Frequency Phase-Coded Stimuli.

This paper investigates for the first time the use of single-frequency phase-coded stimuli to detect covert visuo-spatial attention (CVSA) with steady-state visual evoked potentials (SSVEP). Two 15Hz pattern-onset stimulations were encoded with opposite phases and simultaneously presented on a LCD monitor. The effects of attending each stimulus on the amplitudes and phases of the evoked SSVEPs across the visual cortex are explored.

Measuring light transport properties using speckle patterns as structured illumination.

The measurement of light absorption and scattering properties of biological materials has several diagnostic and therapeutic applications. We can measure these properties for skin without contact using structured illumination and imaging. However, building simple handheld devices remains challenging due to motion artefacts and moving targets.

Lesion Volume Estimation from TBI-MRI.

Traumatic brain injury (TBI) is a major problem affecting millions of people around the world every year. Usually, TBI results from any direct or indirect physical impact, sudden jerks, or blunt impacts to the head, leading to damage to the brain. Current research in TBI is focused on analyzing the biological and behavioral states of patients prone to such injuries.

A generalized Laplacian of Gaussian filter for blob detection and its applications.

In this paper, we propose a generalized Laplacian of Gaussian (LoG) (gLoG) filter for detecting general elliptical blob structures in images. The gLoG filter can not only accurately locate the blob centers but also estimate the scales, shapes, and orientations of the detected blobs. These functions can be realized by generalizing the common 3-D LoG scale-space blob detector to a 5-D gLoG scale-space one, where the five parameters are image-domain coordinates (x, y), scales (σ(x), σ(y)), and orientation (θ), respectively.

Comparison of 7 staging systems in north Indian cohort of hepatocellular carcinoma.

Background & Aim: Many liver staging systems have been proposed for patients with hepatocellular carcinoma (HCC); however it is still controversial which staging system is best. The aim of this study was to compare the ability of 7 different staging systems in predicting survival in an Indian cohort of patients with HCC.

Methods: In this prospective study, 101 HCC patients were diagnosed and stratified according to 7 different staging systems; along with analysis of independent predictors of survival and their correlation with it (Kaplan-Meier analysis).