Proposal of a Geometric Calibration Method Using Sparse Recovery to Remove Linear Array Push-Broom Sensor Bias. [PDF]
Sensors (Basel), 2019 Chen J, Sha Z, Yang J, An W.
europepmc +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Sparse recovery of undersampled intensity patterns for coherent diffraction imaging at high X-ray energies. [PDF]
Sci Rep, 2018 Maddali S +7 more
europepmc +1 more source
Advanced Science, EarlyView.NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider +14 more
wiley +1 more source
Pruning-Based Sparse Recovery for Electrocardiogram Reconstruction from Compressed Measurements. [PDF]
Sensors (Basel), 2017 Lee J, Kim K, Choi JW.
europepmc +1 more source
A Critical Time Window of Neocortex Modulation for Remote Fear Memory in Rats and Humans
Advanced Science, EarlyView.This study identifies a delayed consolidation window around 18 h after fear learning in the mPFC essential for remote fear memory. VTA dopaminergic input during this window sustains remote memory in rats, while non‐invasive stimulation of homologous human mPFC at the corresponding time selectively weakens remote but not recent fear memory, revealing a ...
Lu Cao +19 more
wiley +1 more source
Robust Sparse Recovery with Sparse Bernoulli matrices via Expanders
Sparse binary matrices are of great interest in the field of sparse recovery, nonnegative compressed sensing, statistics in networks, and theoretical computer science. This class of matrices makes it possible to perform signal recovery with lower storage
Abdalla, Pedro
core
Greedy Algorithms for Nonnegativity-Constrained Simultaneous Sparse Recovery. [PDF]
Signal Processing, 2016 Kim D, Haldar JP.
europepmc +1 more source
Charting Endocrine Progenitors Across Species and Organs
Advanced Science, EarlyView.Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing +21 more
wiley +1 more source
On-line EEG Denoising and Cleaning Using Correlated Sparse Recovery and Active Learning. [PDF]
Int J Wirel Inf Netw, 2017 Gupta M, Beckett SA, Klerman EB.
europepmc +1 more source