Results 81 to 90 of about 118,476 (365)

Reproducibility of graph measures at the subject level using resting‐state fMRI

open access: yesBrain and Behavior, 2020
Introduction Graph metrics have been proposed as potential biomarkers for diagnosis in clinical work. However, before it can be applied in a clinical setting, their reproducibility should be evaluated.
Qian Ran   +5 more
doaj   +1 more source

Image volume denoising using a Fourier-wavelet basis [PDF]

open access: yes, 2003
A novel approach to the removal of noise from threedimensional image data is described. The image sequence is represented using a non-adaptive wavelet basis, carefully chosen for its ability to compactly represent locally planar surfaces.
Wilson, Roland   +3 more
core  

Plug-and-Play Priors for Model Based Reconstruction

open access: yes, 2013
Model-based reconstruction is a powerful framework for solving a variety of inverse problems in imaging. The method works by combining a forward model of the imaging system with a prior model of the image itself, and the reconstruction is then computed ...
Bouman, Charles A.   +5 more
core   +1 more source

Scheduled denoising autoencoders

open access: yes, 2014
We present a representation learning method that learns features at multiple different levels of scale. Working within the unsupervised framework of denoising autoencoders, we observe that when the input is heavily corrupted during training, the network tends to learn coarse-grained features, whereas when the input is only slightly corrupted, the ...
Geras, Krzysztof, Sutton, Charles
openaire   +3 more sources

A Versatile Microfluidic Extrusion‐Based Hydrogel Platform for Self‐Organization and Long‐Term Maintenance of Engineered 3D Lymphatic Endothelium

open access: yesAdvanced Healthcare Materials, EarlyView.
Microfluidic coaxial extrusion generates size‐controlled 3D lymphatic tubes from primary human dermal lymphatic endothelial cells in a defined four‐component matrix. These engineered vessels self‐organize into stable lymphatic endothelium, maintain selective macromolecular permeability for 30 days, and enable direct comparison with blood endothelial ...
Elsa Mazari‐Arrighi   +8 more
wiley   +1 more source

Evidence for Itinerant Ferromagnetic Flat Bands Producing Large Transverse Responses

open access: yesAdvanced Materials, EarlyView.
Itinerant ferromagnetic flat bands are demonstrated in GdCo5 with a high Curie temperature of 940K, a stacked honeycomb–kagome lattice, through angle‐resolved photoemission spectroscopy and magneto‐thermoelectric measurements. These topological flat bands generate large Berry curvaturte, producing gigantic anomalous Nernst effect with record‐high ...
Susumu Minami   +15 more
wiley   +1 more source

From Signal to Safety: A Data-Driven Dual Denoising Model for Reliable Assessment of Blasting Vibration Impacts

open access: yesBuildings
With the acceleration of urban renewal, directional blasting has become a common method for building demolition. Analyzing the time–frequency characteristics of blast-induced seismic waves allows for the assessment of risks to surrounding structures ...
Miao Sun   +5 more
doaj   +1 more source

Research on microseismic signal denoising based on variational mode decomposition and wavelet energy entropy

open access: yes矿业科学学报, 2019
Microseismic monitoring technology is widely used in such fields as mining engineering,petroleum and gas exploitation,and safety monitoring.In order to solve the problem of random noise in microseismic signals collected by microseismic monitoring,a ...
Sun Yuan   +4 more
doaj   +1 more source

Nonlocal Spatial–Spectral Neural Network for Hyperspectral Image Denoising

open access: yes, 2022
Hyperspectral image (HSI) denoising is an essential preprocessing step to improve the quality of HSIs. The difficulty of HSI denoising lies in effectively modeling the intrinsic characteristics of HSIs, such as spatial-spectral correlation (SSC), global ...
Zhou, Jun   +4 more
core   +1 more source

Inverse Design of Amorphous Materials With Targeted Properties

open access: yesAdvanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler   +4 more
wiley   +1 more source

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