Results 151 to 160 of about 52,085 (312)
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
Image Fusion for Super‐Resolution Mass Spectrometry Imaging of Plant Tissue
A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Yuchen Zou +3 more
wiley +1 more source
This study presents an approach that demonstrates the capabilities of Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) in solving mechanics-related problems, particularly in the design of monolithic reinforced concrete ...
A. E. Zheltkovich +9 more
doaj +1 more source
Learning Semantically Coherent and Reusable Kernels in Convolution Neural Nets for Sentence Classification [PDF]
Madhusudan Lakshmana +3 more
openalex +1 more source
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
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li +8 more
wiley +1 more source
Broadband All‐Optical Memtransistor Based on Organic Cocrystals for Noise‐Robust Motion Recognition
This work presents an all‐optical synaptic transistor using DTT‐TCNQ organic charge transfer cocrystals, achieving broadband bidirectional modulation (395–808 nm) with highly linear synaptic plasticity (nonlinearity coefficients αp = 0.00191, αd = 0.00305).
Zhaohui Cai +8 more
wiley +1 more source
Real‐Time In Vivo Cellular‐Level Imaging During Puncture
We present an artificial‐intelligence‐empowered integrative‐light‐field microendoscopy (AIM) needle that delivers real‐time in vivo, diffraction‐limited cellular‐level imaging during puncture and visualizes layered microstructures along the needle path. As a microscopic complement to CT/ultrasound, it improves sampling localization and adds preliminary
Huifang Gao +13 more
wiley +1 more source
OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis
OBUSight, a clinically aligned generative AI model that jointly generates reports and predicts diseases through multimodal semantic alignment, was trained and validated on a large multicenter dataset. OBUSight outperformed eight state‐of‐the‐art models, provided clinically reliable reports, enhanced diagnostic efficiency, and achieved performance ...
Xiaocong Liu +17 more
wiley +1 more source

