Results 131 to 140 of about 164,404 (265)

Double resolution microwave holography

open access: yes, 1976
Includes bibliographical references.This thesis endeavours to record the development and subsequent evaluation of a simple technique for the recording of microwave holograms using common hardware components, which offers the possibility of significant ...
Nilsen, Christopher Shakespeare
core  

Restricted Boltzmann machine approach to couple dictionary training for image super-resolution

open access: yes, 2013
Image super-resolution means forming high-resolution images from low-resolution images. In this paper, we develop a new approach based on the deep Restricted Boltzmann Machines (RBM) for image super-resolution.
Junbin Gao   +5 more
core   +1 more source

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

open access: yesMolecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova   +14 more
wiley   +1 more source

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

open access: yesMolecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh   +12 more
wiley   +1 more source

Advanced Methods for High Resolution SAR information extraction: Data and User-driven evaluation approaches for Image Information Mining

open access: yes, 2011
We are concerned in this thesis by the problem of Image Information Mining (IIM) for exploitation and understanding of high resolution Synthetic Aperture Radar (SAR) data.
Espinoza-Molina, Daniela
core  

A joint image super‐resolution network for multiple degradations removal via complementary transformer and convolutional neural network

open access: yesIET Image Processing
While recent years have witnessed the unprecedented success of deep convolutional neural networks (CNNs) and vision transformers in single‐image super‐resolution (SISR), the degradation assumptions are simple and usually bicubic downsampling. Thus, their
Guoping Li, Zhenting Zhou, Guozhong Wang
doaj   +1 more source

CD47 promotes mitogen‐activated protein kinase and epithelial‐to‐mesenchymal transition molecular programs to drive prometastatic phenotypes in non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau   +8 more
wiley   +1 more source

Cross view capture for stereo image super-resolution

open access: yes, 2021
Stereo image super-resolution exploits additional features from cross view image pairs for high resolution (HR) image reconstruction. Recently, several new methods have been proposed to investigate cross view features along epipolar lines to enhance the ...
Xiangyuan Zhu (10729956)   +5 more
core  

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

open access: yesMolecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan   +16 more
wiley   +1 more source

Large receptive field convolutional neural network for image super-resolution

open access: yes, 2017
This paper presents a new approach to Single Image Super Resolution (SISR), based upon Convolutional Neural Network (CNN). Although the SISR is ill-posed which can be seen as finding a non-linear mapping from a low to high dimensional space.
Wang Q(王强)   +3 more
core  

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