Results 61 to 70 of about 225,507 (258)

Image deblurring method driven by double layer convolution neural network denoising module

Nantong Daxue xuebao. Ziran kexue ban, 2022
To solve this problem for inflexible of noise levels for deep convolution neural network for image denoising, an image deblurring method driven by a double deep convolution neural network for image denoising is proposed.The learning capability of ...
WU Jingjing; MA Jingning; ZHU Yonggui
doaj   +1 more source

Experience With Performing Rheocarna Therapy via the Single‐Needle Method for Treatment of Chronic Limb‐Threatening Ischemia

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi, Rie Tanaka, Reona Kawahira, Shingo Nabeta, Kouhei Naoi, Kazuhito Kitajima, Akira Wada, Tomonari Takagi, Norihiko Ohura, Akira Miyamoto   +9 more
wiley   +1 more source

Blind Image Deconvolution Using Variational Deep Image Prior

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization. While deep-learning-based methods have simplified the optimization by end-to-end training, they fail to generalize well to blurs unseen in the training dataset. Thus, training image-specific models is important for higher generalization. Deep image prior
Dong Huo, Abbas Masoumzadeh, Rafsanjany Kushol, Yee-Hong Yang   +3 more
openaire   +3 more sources

Learning Spectral–Spatial-Former Deep Prior for Hyperspectral Image Superresolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The superresolution (SR) technique is a leading solution for achieving high spatial–spectral resolution in hyperspectral (HS) images, which current sensors struggle to provide due to cost and physical constraints.
Zeinab Dehghan, Jingxiang Yang, Abdolraheem Khader, Jian Fang, Liang Xiao   +4 more
doaj   +1 more source

A Model-Driven Deep Dehazing Approach by Learning Deep Priors

IEEE Access, 2021
Photos taken in hazy weather are usually covered with white masks and lose important details. Haze removal is a fundamental task and a prerequisite to many other vision tasks.
Dong Yang, Jian Sun
doaj   +1 more source

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

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

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

Linking neurogenesis, oligodendrogenesis, and myelination defects to neurodevelopmental disruption in primary mitochondrial disorders

FEBS Letters, EarlyView.
Mitochondrial remodeling shapes neural and glial lineage progression by matching metabolic supply with demand. Elevated OXPHOS supports differentiation and myelin formation, while myelin compaction lowers mitochondrial dependence, revealing mitochondria as key drivers of developmental energy adaptation.
Sahitya Ranjan Biswas, Porter L. Tomsick, Alicia M. Pickrell, Paul D. Morton   +3 more
wiley   +1 more source

DeepRED: Deep Image Prior Powered by RED

CoRR, 2019
Inverse problems in imaging are extensively studied, with a variety of strategies, tools, and theory that have been accumulated over the years. Recently, this field has been immensely influenced by the emergence of deep-learning techniques. One such contribution, which is the focus of this paper, is the Deep Image Prior (DIP) work by Ulyanov, Vedaldi ...
Gary Mataev, Michael Elad, Peyman Milanfar   +2 more
openaire   +2 more sources