Automatic Quantification of Radiographic Finger Joint Space Width of Patients with Early Rheumatoid Arthritis
This study proposes a fully automatic method for both joint location and margin detection in early RA hand radiographs. It increases the current radiographic detection rate of the finger joints and enhances the margin detection procedure. It may be expected that our method aids rheumatologists in objective assessment of joint damage in early RA patients.
How Modeling Standards, Software, and Initiatives Support Reproducibility in Systems Biology and Systems Medicine
We focus on reproducibility issues related to computational modeling in systems biology and medicine and give special attention to initiatives, standards and software tools that already exist and have improved the reproducibility of simulation studies in the past years.
Electrophysiological Source Imaging of Brain Networks Perturbed by Low-Intensity Transcranial Focused Ultrasound
We report an experimental investigation to noninvasively detect electrophysiological response induced by low-intensity transcranial focused ultrasound (tFUS) in an in vivo animal model, and perform electrophysiological source imaging (ESI) of tFUS-induced brain activity from noninvasive scalp EEG recordings. Neural activation has been observed following low-intensity tFUS, for various ultrasound intensities and sonication durations.
A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data from Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects
we propose a novel neurocomputing development system, called NeuCube that utilizes 3-D brain-like spiking Neural Networks (SNNs) for modelling, learning, classification and visualisation of spatiotemporal brain data for better understanding of brain functions. It is accurate in classifying EEG data and reveals new knowledge on brain functions as response to treatment of subjects addicted to drugs.
Detection Algorithm of Phase Singularity Using Phase Variance Analysis for Epicardial Optical Mapping Data
We proposed a novel detection method of cardiac spiral wave that finds the peaks in the phase variance distribution. We evaluated the proposed method in comparison with the conventional convolution method, using optical mapping data of both single spiral wave and multiple spiral waves……
A Novel Algorithm for Remote Photoplethysmography: Spatial Subspace Rotation
We propose a conceptually novel algorithm, namely “Spatial Subspace Rotation” (2SR), that improves the robustness of remote photoplethysmography. Based on the assumption of (1) spatially redundant pixel-sensors of a camera and (2) a well-defined skin mask, our core idea is to estimate a spatial subspace of skin-pixels and measure its temporal rotation for pulse extraction.