Results 71 to 80 of about 16,712,425 (389)
FEBS Letters, EarlyView.In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali +3 more
wiley +1 more source
CIDEr: Consensus-based image description evaluation [PDF]
Computer Vision and Pattern Recognition, 2014 Automatically describing an image with a sentence is a long-standing challenge in computer vision and natural language processing. Due to recent progress in object detection, attribute classification, action recognition, etc., there is renewed interest ...
Ramakrishna Vedantam +2 more
semanticscholar +1 more source
Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE [PDF]
arXiv, 2020 Training segmentation networks requires large annotated datasets, but manual annotation is time consuming and costly. We here investigate if the combination of a noise-to-image GAN and an image-to-image GAN can be used to synthesize realistic brain tumor images as well as the corresponding tumor annotations (labels), to substantially increase the ...
arxiv
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS Letters, EarlyView.FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac +3 more
wiley +1 more source
Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
FEBS Letters, EarlyView.This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source
Places: A 10 Million Image Database for Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 The rise of multi-million-item dataset initiatives has enabled data-hungry machine learning algorithms to reach near-human semantic classification performance at tasks such as visual object and scene recognition.
Bolei Zhou +4 more
semanticscholar +1 more source
Show and tell: A neural image caption generator [PDF]
Computer Vision and Pattern Recognition, 2014 Automatically describing the content of an image is a fundamental problem in artificial intelligence that connects computer vision and natural language processing.
O. Vinyals +3 more
semanticscholar +1 more source
Functional variation among LPMOs revealed by the inhibitory effects of cyanide and buffer ions
FEBS Letters, EarlyView.This study addresses the inhibition of lytic polysaccharide monooxygenases (LPMOs) by cyanide and explains how and why the magnitude of observed inhibitory effects depends on the way LPMO reactions are setup and on the type of LPMO. Enzymes known as lytic polysaccharide monooxygenases (LPMOs) are mono‐copper polysaccharide‐degrading peroxygenases that ...
Ole Golten +10 more
wiley +1 more source
Tractography-based navigated TMS language mapping protocol
Frontiers in Oncology, 2022 IntroductionThis study explores the feasibility of implementing a tractography-based navigated transcranial magnetic stimulation (nTMS) language mapping protocol targeting cortical terminations of the arcuate fasciculus (AF).
Klara Reisch +8 more
doaj +1 more source
Deep Decomposition Network for Image Processing: A Case Study for Visible and Infrared Image Fusion [PDF]
arXiv, 2021 Image decomposition is a crucial subject in the field of image processing. It can extract salient features from the source image. We propose a new image decomposition method based on convolutional neural network. This method can be applied to many image processing tasks.
arxiv