Results 121 to 130 of about 116,500 (328)
Advanced Science, EarlyView.This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang +4 more
wiley +1 more source
Steered Mixture of Experts Regression for Image Denoising with Multi-Model-Inference [PDF]
, 2023 Aytaç Özkan, Yi-Hsin Li, Thomas Sikora
openalex +1 more source
Advanced Science, EarlyView.We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu +7 more
wiley +1 more source
Advanced Science, EarlyView.Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol +17 more
wiley +1 more source
Iterative denoising of ghost imaging
Optics Express, 2014 We present a new technique to denoise ghost imaging (GI) in which conventional intensity correlation GI and an iteration process have been combined to give an accurate estimate of the actual noise affecting image quality. The blurring influence of the speckle areas in the beam is reduced in the iteration by setting a threshold. It is shown that with an
Xu-Ri, Yao +6 more
openaire +2 more sources
Advanced Science, EarlyView.Single‐cell sequencing reveals stress‐programmed immune states driving TNFα–TNFR2–mediated Treg activation and therapy resistance in breast cancer, while targeting this axis restores antitumor immunity. ABSTRACT The tumor microenvironment (TME) harbors diverse immune cell states that shape therapeutic outcomes in breast cancer.
Zhibo Shao +18 more
wiley +1 more source
Advanced Science, EarlyView.scPER presents an adversarial‐autoencoder framework that deconvolves bulk total RNA‐seq to quantify tumor‐microenvironment cell types and uncover phenotype‐linked subclusters. Across diverse benchmarks, scPER improves accuracy over existing tools.
Bingrui Li, Xiaobo Zhou, Raghu Kalluri
wiley +1 more source
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction [PDF]
, 2022 Yutong Xie, Quanzheng Li
openalex +1 more source
A Trypsin‐Like Serine Protease ZmNAL1a Fine‐Tunes Maize Floral Transition and Flowering Time
Advanced Science, EarlyView.This study identifies a trypsin‐like serine protease, ZmNAL1a, that moves from leaves to the shoot apical meristem. ZmNAL1a promotes the floral transition by degrading TOPLESS‐like corepressor REL2, which thereby enhances the expression of key flowering genes through elevating histone acetylation and relieving REL2–ZmEREBP147‐mediated transcriptional ...
Nan Li +15 more
wiley +1 more source