Results 61 to 70 of about 4,469,643 (384)
Unsupervised convolutional neural networks for motion estimation [PDF]
International Conference on Information Photonics, 2016 Traditional methods for motion estimation estimate the motion field F between a pair of images as the one that minimizes a predesigned cost function. In this paper, we propose a direct method and train a Convolutional Neural Network (CNN) that when, at ...
A. Ahmadi, I. Patras
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra +3 more
wiley +1 more source
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
FEBS Letters, EarlyView.We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
Motion Velocity, Acceleration and Energy Expenditure Estimation Using Micro Flow Sensor
IEEE Access, 2019 Motion velocity, acceleration, and energy expenditure estimations are important in quantitative assessments for physical recovery and exercise-based interventions for post-stroke patients with partial losses of neurological functions. This paper proposes
Junchang Zhang, Shiqiang Liu, Rong Zhu
doaj +1 more source
Myocardial strain analysis of echocardiography based on deep learning
Frontiers in Cardiovascular Medicine, 2022 BackgroundStrain analysis provides more thorough spatiotemporal signatures for myocardial contraction, which is helpful for early detection of cardiac insufficiency.
Yinlong Deng +9 more
doaj +1 more source
Estimating motion from MRI data [PDF]
Proceedings of the IEEE, 2003 INVITED PAPER: Magnetic resonance imaging (MRI) is an ideal imaging modality to measure blood flow and tissue motion. It provides excellent contrast between soft tissues, and images can be acquired at positions and orientations freely defined by the user.
Cengizhan, Ozturk +2 more
openaire +2 more sources
Motion estimation and quality enhancement for a single image in dynamic single-pixel imaging.
Optics Express, 2019 In single-pixel imaging (SPI), a large number of illuminations is usually required to capture one single image. Consequently, SPI may only achieve a very low frame rate for a fast-moving object and the reconstructed images are contaminated with blur and ...
Shuming Jiao +5 more
semanticscholar +1 more source
A Variational Model for Joint Motion Estimation and Image Reconstruction [PDF]
SIAM Journal of Imaging Sciences, 2016 The aim of this paper is to derive and analyze a variational model for the joint estimation of motion and reconstruction of image sequences, which is based on a time-continuous Eulerian motion model.
M. Burger, H. Dirks, C. Schönlieb
semanticscholar +1 more source
Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions
FEBS 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
Human Age Estimation Method Robust to Camera Sensor and/or Face Movement
Sensors, 2015 Human age can be employed in many useful real-life applications, such as customer service systems, automatic vending machines, entertainment, etc.
Dat Tien Nguyen +3 more
doaj +1 more source