Results 91 to 100 of about 1,707,291 (329)

Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions

open access: yesFEBS Letters, EarlyView.
We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva   +10 more
wiley   +1 more source

Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network

open access: yes, 2016
Accurate delineation of the left ventricle (LV) is an important step in evaluation of cardiac function. In this paper, we present an automatic method for segmentation of the LV in cardiac CT angiography (CCTA) scans.
de Vos, Bob D.   +5 more
core   +1 more source

Three‐dimensional body composition parameters using automatic volumetric segmentation allow accurate prediction of colorectal cancer outcomes

open access: yesJournal of Cachexia, Sarcopenia and Muscle
Background Parameters obtained from two‐dimensional (2D) cross‐sectional images have been used to determine body composition. However, data from three‐dimensional (3D) volumetric body images reflect real body composition more accurately and may be better
Aiya Bimurzayeva   +15 more
doaj   +1 more source

Investigation of deep learning approaches for automated damage diagnostics in fiber metal laminates using Detectron2 and SAM

open access: yesFrontiers in Artificial Intelligence
The impact damage is one of the major causes of structural failures in Fiber Metal Laminate (FML) plates, which are widely used in the aerospace and automotive industries due to their superior mechanical properties.
Sanjeev Kumar, Stefan Bosse, Chirag Shah
doaj   +1 more source

The (Glg)ABCs of cyanobacteria: modelling of glycogen synthesis and functional divergence of glycogen synthases in Synechocystis sp. PCC 6803

open access: yesFEBS Letters, EarlyView.
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee   +3 more
wiley   +1 more source

SegFlow: Joint Learning for Video Object Segmentation and Optical Flow

open access: yes, 2017
This paper proposes an end-to-end trainable network, SegFlow, for simultaneously predicting pixel-wise object segmentation and optical flow in videos. The proposed SegFlow has two branches where useful information of object segmentation and optical flow ...
Cheng, Jingchun   +3 more
core   +1 more source

Subcellular object quantification with Squassh3C and SquasshAnalyst

open access: yesBioTechniques, 2015
Quantitative image analysis plays an important role in contemporary biomedical research. Squassh is a method for automatic detection, segmentation, and quantification of subcellular structures and analysis of their colocalization.
Aurélien Rizk   +3 more
doaj   +1 more source

Unified segmentation

open access: yesNeuroImage, 2005
A probabilistic framework is presented that enables image registration, tissue classification, and bias correction to be combined within the same generative model. A derivation of a log-likelihood objective function for the unified model is provided.
John, Ashburner, Karl J, Friston
openaire   +2 more sources

Structural biology of ferritin nanocages

open access: yesFEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

Distributed Low-rank Subspace Segmentation

open access: yes, 2013
Vision problems ranging from image clustering to motion segmentation to semi-supervised learning can naturally be framed as subspace segmentation problems, in which one aims to recover multiple low-dimensional subspaces from noisy and corrupted input ...
Chang, Shih-Fu   +4 more
core   +1 more source

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