Results 231 to 240 of about 1,980,897 (317)

Radon-Guided Wavelet-Domain Attention U-Net for Periodic Artifact Suppression in Brain MRI. [PDF]

J Imaging
Rios-Perez JD, Sanchez-Torres G, Sanchez-Torres G, Branch-Bedoya JW, Laiton-Bonadiez CA.   +4 more
europepmc   +1 more source

Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning

Advanced Science, EarlyView.
A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Jinwook Yeo, Peter Serles, Donggeun Park, Julia R. Greer, Seunghwa Ryu   +4 more
wiley   +1 more source

Beyond visual inspection: the deep learning revolution in quantitative cerebrovascular imaging. [PDF]

Front Neurosci
Mao X, Yang H, Weng S, Peng F, Xu J.
europepmc   +1 more source

Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO

Advanced Science, EarlyView.
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu, Jinpo Su, Haotian Zhou, Yilin Shen, Mengke Qin, Yingjie Luo, Tiancai Wang, Zhenglin Chen, Yuanyuan Wang, Xiaokai Ma   +9 more
wiley   +1 more source

Image Distortion Correction for Diffusion MR Imaging Using a Transformer-based U-Net. [PDF]

Magn Reson Med Sci
Ueyama T, Takahashi E, Fujita N, Suzuki Y, Inui S, Yasaka K, Iwanaga H, Abe O, Terada Y.   +8 more
europepmc   +1 more source

A Biomimetic Solvatochromic Chip With Optimized Chemical Diversity for On‐Site Liquid Identification

Advanced Science, EarlyView.
A compact biomimetic photonic‐gustatory chip uses Hansen‐solubility‐parameter‐guided solvatochromic disks to create distinct color patterns in organic liquids. An optimized four‐disk array distinguishes solvent types, ratios, homologues, isomers, and alcoholic beverages. Coupled with smartphone imaging and deep learning, it identifies 80 liquid classes
Jintao Zhang, Hao Ouyang, Yin Cheng, Nuoye Xiong, Xunchi Ma, Xueling Li, Guangming Zhu, Liang Zhang, Jing Sun, Ranran Wang   +9 more
wiley   +1 more source

Connecting the dots: deep learning-based automated model building methods in cryo-EM. [PDF]

Front Mol Biosci
Bansia H, des Georges A.
europepmc   +1 more source

LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides

Advanced Science, EarlyView.
An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu, Congran Jia, Yuzhou Hao, Xuejie Li, Yang Wang, Artem Oganov, Jun Sun, Xiangdong Ding, Turab Lookman, Zhibin Gao   +9 more
wiley   +1 more source

Parameter Adaptive Network for Large-Scale Neural In-Loop Filtering in Versatile Video Coding. [PDF]

Sensors (Basel)
Wu Y, Cai F, Song X, Zuo X.
europepmc   +1 more source