Results 151 to 160 of about 25,600 (268)

Free‐Breathing 3D Whole Heart and Aorta Cine MRI Without Contrast Agent—Comparison to Clinical Standard

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The demand for cardiac MRI is increasing with the growing burden of cardiovascular disease. However, conventional protocols require sequential acquisitions for multi‐breath‐hold 2D cine and 3D MR angiography (MRA), which is time‐consuming.
Ruixin Chen, Huangling Lu, Alexandru Cernicanu, Jos Westenberg, Merlijn Sevenster, Jochen Keupp, Jakob Meineke, Hildo J. Lamb   +7 more
wiley   +1 more source

Feasibility of short-term hospital mask demand forecasting using a backpropagation neural network under data scarcity. [PDF]

Sci Rep
Wang Y, Han Y, Wang S, Guan Z, Chang C.
europepmc   +1 more source

Interleaved Diffractive Networks for Information Transfer Through Random Diffusers

Laser &Photonics Reviews, EarlyView.
This work presents a cascaded diffractive optical network that enables information transfer through random, unknown diffusers using passive, interleaved structured layers that mitigate scattering without digital computation. A hybrid optical‐digital version further improves robustness and reconstruction fidelity under distortions, with both simulations
Yuhang Li, Yiyang Wu, Shiqi Chen, Xilin Yang, Aydogan Ozcan   +4 more
wiley   +1 more source

Stochasticity in action potential backpropagation: consequences for neuronal computation. [PDF]

Front Cell Neurosci
Antic SD, Milicevic KD, Lytton WW.
europepmc   +1 more source

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The Unadjusted Langevin Algorithm (ULA) in combination with diffusion models can generate high quality MRI reconstructions with uncertainty estimation from highly undersampled k‐space data. However, sampling methods such as diffusion posterior sampling (DPS) or likelihood annealing suffer from long reconstruction times and the need for
Moritz Blumenthal, Tina Holliber, Jonathan I. Tamir, Martin Uecker   +3 more
wiley   +1 more source

Generative Data Augmentation for ArUco-Free RGB-Based 6-DoF Object Pose Estimation. [PDF]

J Imaging
Scribano C, Ferrari I, Franchini G, Govi E, Sapienza D, Poppi T, Verucchi M, Bertogna M.   +7 more
europepmc   +1 more source

Zero‐Shot Self‐Supervised Learning of Single Breath‐Hold Magnetic Resonance Cholangiopancreatography (MRCP) Reconstruction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To investigate the feasibility of zero‐shot self‐supervised learning reconstruction for reducing breath‐hold times in magnetic resonance cholangiopancreatography (MRCP). Methods Breath‐hold MRCP was acquired from 11 healthy volunteers on 3T scanners using an incoherent k‐space sampling pattern, leading to a 14‐s acquisition time and an
Jinho Kim, Marcel Dominik Nickel, Florian Knoll   +2 more
wiley   +1 more source

Study on the Evaluation Method of Collaborative Dust Prevention Effect with Coal Miners-Based on Feature Reduction, Genetic Algorithm, and Backpropagation. [PDF]

Saf Health Work
Shi S, Zheng H, Li H, Wang X.
europepmc   +1 more source

Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto, Pierangelo Malfi, Armando Nicolella, Francesco Melluso, Chiara Cosenza, Sergio Savino, Vincenzo Niola   +6 more
wiley   +1 more source

A Multi-Branch Training Strategy for Enhancing Neighborhood Signals in GNNs for Community Detection. [PDF]

Entropy (Basel)
Guo Y, Wu Q, Lü L.
europepmc   +1 more source