Results 71 to 80 of about 1,138,724 (269)

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, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Efficient Deep Image Prior with Spatial-Channel Attention Transformer

Mathematics
The deep image prior (DIP) suggests that it is possible to train a randomly initialized network with a suitable architecture to solve inverse imaging problems by simply optimizing its parameters to reconstruct a single degraded image.
Weiwei Lin, Zeqing Zhang, Jin Lin, Ying You   +3 more
doaj   +1 more source

Fast Shadow Detection from a Single Image Using a Patched Convolutional Neural Network

, 2018
In recent years, various shadow detection methods from a single image have been proposed and used in vision systems; however, most of them are not appropriate for the robotic applications due to the expensive time complexity. This paper introduces a fast
Hosseinzadeh, Sepideh, Shakeri, Moein, Zhang, Hong   +2 more
core   +1 more source

Image Deconvolution with Deep Image and Kernel Priors [PDF]

2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019
Image deconvolution is the process of recovering convolutional degraded images, which is always a hard inverse problem because of its mathematically ill-posed property. On the success of the recently proposed deep image prior (DIP), we build an image deconvolution model with deep image and kernel priors (DIKP).
Wang, Zhunxuan, Wang, Zipei, Li, Qiqi, Bilen, Hakan   +3 more
openaire   +2 more sources

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

FEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

From shallow sea to deep sea: research progress in underwater image restoration

Frontiers in Marine Science, 2023
Underwater images play a crucial role in various fields, including oceanographic engineering, marine exploitation, and marine environmental protection.
Wei Song, Yaling Liu, Dongmei Huang, Bing Zhang, Zhihao Shen, Huifang Xu   +5 more
doaj   +1 more source

Bootstrapping Deep Neural Networks from Approximate Image Processing Pipelines

, 2018
Complex image processing and computer vision systems often consist of a processing pipeline of functional modules. We intend to replace parts or all of a target pipeline with deep neural networks to achieve benefits such as increased accuracy or reduced ...
Chai, Sek, Hostetler, Jesse, Son, Kilho
core   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

Removal of speckle noises from ultrasound images using five different deep learning networks

Engineering Science and Technology, an International Journal, 2022
Image enhancement methods are applied to medical images to reduce the noise that they contain. There are many academic studies in the literature using classical image enhancement methods.
Onur Karaoğlu, Hasan Şakir Bilge, İhsan Uluer   +2 more
doaj   +1 more source

DeepEIT: Deep Image Prior Enabled Electrical Impedance Tomography

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Neural networks (NNs) have been widely applied in tomographic imaging through data-driven training and image processing. One of the main challenges in using NNs in real medical imaging is the requirement of massive amounts of training data - which are not always available in clinical practice.
Dong Liu, Junwu Wang, Qianxue Shan, Danny Smyl, Jiansong Deng, Jiangfeng Du   +5 more
openaire   +2 more sources