Results 71 to 80 of about 1,432,491 (277)
MRI Reconstruction Via Cascaded Channel-Wise Attention Network [PDF]
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019 We consider an MRI reconstruction problem with input of k-space data at a very low undersampled rate. This can practically benefit patient due to reduced time of MRI scan, but it is also challenging since quality of reconstruction may be compromised. Currently, deep learning based methods dominate MRI reconstruction over traditional approaches such as ...
Huang, Qiaoying +5 more
openaire +2 more sources
The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes
FEBS Letters, EarlyView.Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga +3 more
wiley +1 more source
Multiscale Hybrid Convolutional Deep Neural Networks with Channel Attention
Entropy, 2022 Attention mechanisms can improve the performance of neural networks, but the recent attention networks bring a greater computational overhead while improving network performance.
Hua Yang +4 more
doaj +1 more source
FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Countering Quantum Noise with Supplementary Classical Information
, 2002 We consider situations in which i) Alice wishes to send quantum information to Bob via a noisy quantum channel, ii) Alice has a classical description of the states she wishes to send and iii) Alice can make use of a finite amount of noiseless classical ...
A. Kent +13 more
core +1 more source
Channel-Attentive Graph Neural Networks
2024 IEEE International Conference on Data Mining (ICDM)Graph Neural Networks (GNNs) set the state-of-the-art in representation learning for graph-structured data. They are used in many domains, from online social networks to complex molecules. Most GNNs leverage the message-passing paradigm and achieve strong performances on various tasks.
Karabulut, Tuğrul Hasan +1 more
openaire +2 more sources
PKCAM: Previous Knowledge Channel Attention Module
, 2022 Recently, attention mechanisms have been explored with ConvNets, both across the spatial and channel dimensions. However, from our knowledge, all the existing methods devote the attention modules to capture local interactions from a uni-scale. In this paper, we propose a Previous Knowledge Channel Attention Module(PKCAM), that captures channel-wise ...
Bakr, Eslam Mohamed +2 more
openaire +2 more sources
AAA+ protein unfoldases—the Moirai of the proteome
FEBS Letters, EarlyView.AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley +1 more source
The PI3Kδ inhibitor roginolisib (IOA‐244) preserves T‐cell function and activity
Molecular Oncology, EarlyView.Identification of novel PI3K inhibitors with limited immune‐related adverse effects is highly sought after. We found that roginolisib and idelalisib inhibit chronic lymphocytic leukemia (CLL) cells and Treg suppressive functions to similar extents, but roginolisib affects cytotoxic T‐cell function and promotion of pro‐inflammatory T helper subsets to a
Elise Solli +7 more
wiley +1 more source
Sequential vessel segmentation via deep channel attention network
Neural Networks, 2020 14
Dongdong Hao +6 more
openaire +4 more sources