Results 201 to 210 of about 532,382 (296)
Enhanced 2D Spiral Cine DENSE MRI Using Low-Rank Denoising for Improved Apparent Signal-to-Noise Ratio, Spatial Resolution, Efficiency, Accuracy, and Accessibility. [PDF]
Shih SF +9 more
europepmc +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Untangling brain and behavioural measures of visual statistical learning: A longitudinal study in infancy. [PDF]
Capparini C +3 more
europepmc +1 more source
This work presents a robot‐assisted Doppler optical coherence tomography system for autonomous, wide‐field intraoperative assessment of microvascular anastomoses. Machine‐vision–guided probe positioning and adaptive scan planning enable three‐dimensional structural and hemodynamic imaging over extended vessel segments.
Xiaochen Li +10 more
wiley +1 more source
Low-Altitude Target Localization Method Based on Exogenous Radar with Multi-Base Station and 5G SSB Signals. [PDF]
Xu Y +5 more
europepmc +1 more source
C. Chew +3 more
semanticscholar +1 more source
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet +8 more
wiley +1 more source
Combining 3D iterative image reconstruction and deep learning to improve image quality of knee joint MRI fast sequences: a focus on meniscal injury evaluation. [PDF]
Peng C +7 more
europepmc +1 more source
On the Extended Relationships Among EVM, BER and SNR as Performance Metrics
R. Shafik +2 more
semanticscholar +1 more source
EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi +7 more
wiley +1 more source

