Results 61 to 70 of about 390,825 (273)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Blinatumomab is a bispecific T‐cell engager approved for the treatment of pediatric B‐cell acute lymphoblastic leukemia (B‐ALL). Outpatient home infusion reduces hospitalization burden and optimizes resource utilization, but is logistically challenging.
Angela Parra del Riego +10 more
wiley +1 more source
Multi‐feature fusion attention network for single image super‐resolution
IET Image Processing, 2023 Single Image Super‐Resolution algorithms have made enormous progress in recent years. However, many previous Convolution Neural Network (CNN) based Super‐Resolution algorithms only stack uniform convolution layers of fixed kernel size, and frequently ...
Jiacheng Chen +3 more
doaj +1 more source
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks
, 2018 Magnetic resonance image (MRI) in high spatial resolution provides detailed anatomical information and is often necessary for accurate quantitative analysis.
Chen, Yuhua +6 more
core +2 more sources
Single image super resolution via neighbor reconstruction [PDF]
Pattern Recognition Letters, 2019 Super Resolution (SR) is a complex, ill-posed problem where the aim is to construct the mapping between the low and high resolution manifolds of image patches. Anchored neighborhood regression for SR (namely A+ [27]) has shown promising results. In this paper we present a new regression-based SR algorithm that overcomes the limitations of A+ and ...
Zhihong Zhang 0001 +7 more
openaire +2 more sources
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Seven ways to improve example-based single image super resolution
, 2015 In this paper we present seven techniques that everybody should know to improve example-based single image super resolution (SR): 1) augmentation of data, 2) use of large dictionaries with efficient search structures, 3) cascading, 4) image self ...
Rothe, Rasmus +2 more
core +1 more source
FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Robust Prior-Based Single Image Super Resolution Under Multiple Gaussian Degradations
IEEE Access, 2020 Although SISR (Single Image Super Resolution) problem can be effectively solved by deep learning based methods, the training phase often considers single degradation type such as bicubic interpolation or Gaussian blur with fixed variance.
Wenyi Wang +4 more
doaj +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
Extending resolution within a single imaging frame
Nature Communications, 2022 The presented Mean-Shift Super Resolution (MSSR) algorithm can extend spatial resolution within a single microscopy image. Its applicability extends across a wide range of experimental and instrumental configurations and it is compatible with other super-
Esley Torres-García +27 more
doaj +1 more source