Results 141 to 150 of about 475,373 (270)

VariGAN: Enhancing Image Style Transfer via UNet Generator, Depthwise Discriminator, and LPIPS Loss in Adversarial Learning Framework. [PDF]

Sensors (Basel)
Guan D, Lin X, Zhang H, Zhou H.
europepmc   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source

Illustration image style transfer method design based on improved cyclic consistent adversarial network. [PDF]

PLoS One
Wang X, Jiang J.
europepmc   +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, Alessio Bevilacqua, Mathias Wenes, Denis Migliorini, Lars van der Veen, Sigrid S Skånland, Giusy Di Conza, Kjetil Taskén   +7 more
wiley   +1 more source

Neural Style Transfer for Image Stylization

Highlights in Science, Engineering and Technology
Image style migration, exploring the transformation of visual styles from one image to another, has become a focal point in computer vision research. The semantic and stylistic features of images are difficult to express directly through mathematical models, which greatly increases the difficulty of image stylization.
openaire   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

ASSIST-U: A system for segmentation and image style transfer for ureteroscopy. [PDF]

Healthc Technol Lett
Lu D, Wu Y, Acar A, Yao X, Wu JY, Kavoussi N, Oguz I.   +6 more
europepmc   +1 more source

Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin

Molecular Oncology, EarlyView.
Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon, Dong Young Kim, Yuna Kim, Uk‐Il Kim, Jae‐Sung Kim   +4 more
wiley   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Image style transfer with neural networks

, 2020
Abstract. The main goal of this thesis is to introduce the reader to different style transfer methods that are based on artificial neural networks. The thesis begins with an introduction to some key concepts regarding artificial neural networks. These concepts include a single artificial neuron, a feedforward neural network, convolutional neural network ...
openaire   +1 more source