Results 211 to 220 of about 20,082 (264)

Autoregressive Hypergraph

open access: yesJournal of Time Series Analysis, EarlyView.
ABSTRACT Traditional graph representations are insufficient for modelling real‐world phenomena involving multi‐entity interactions, such as collaborative projects or protein complexes, necessitating the use of hypergraphs. While hypergraphs preserve the intrinsic nature of such complex relationships, existing models often overlook temporal evolution in
Xianghe Zhu, Qiwei Yao
wiley   +1 more source

Autonomous Velocity Encoding (VENC) Selection Improves Precision of Quantitative Flow Measurement. [PDF]

open access: yesJ Magn Reson Imaging
Daudé P   +9 more
europepmc   +1 more source

High‐throughput, high‐fidelity reconstruction of whole mouse‐heart cytoarchitecture at cellular scale

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Experimental workflow of the dual‐camera light‐sheet microscope (dual‐mesoSPIM) pipeline. Intact adult mouse hearts undergo CUBIC‐based delipidation and refractive‐index matching, rendering the whole organ optically transparent (left).
Francesco Giardini   +12 more
wiley   +1 more source

Comparative multimodal calibration of patient‐specific atrial fibrillation models: Impact of imaging and electrophysiology data on arrhythmogenic substrate identification

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Comparative multimodal calibration of patient‐specific left atrial (LA) models to identify arrhythmogenic substrates in atrial fibrillation (AF). A, LA models shown in posterior and anterior views, calibrated separately using: late gadolinium enhancement magnetic resonance imaging (LGE‐MRI) image intensity ratio (IIR; blue–red ...
Mahmoud Ehnesh   +14 more
wiley   +1 more source

Leakage‐Controlled Evaluation of Pixel‐Level MRI–sCT Fusion Reveals a Quality–Performance Mismatch in Brain Tumour Classification

open access: yesVector: The Journal of Engineering, Volume 2027, Issue 1, January/December 2027.
This study presents a leakage‐free evaluation of pixel‐level MRI–synthetic CT fusion for brain tumour classification using EfficientNet‐B0, image‐quality metrics, statistical testing and Grad‐CAM explainability. The results show that although fusion methods improved several image‐quality measures, none outperformed MRI‐only classification in accuracy ...
Muazzam Ali   +3 more
wiley   +1 more source

Combining Voiceprint Feature Extraction With Deep Learning Based Classifiers for Early Chronic Obstructive Pulmonary Disease Screening

open access: yesVector: The Journal of Engineering, Volume 2027, Issue 1, January/December 2027.
Graphic Abstract (GA) presents an overview of the CNN‐based classification process, which consists of several convolutional layers, several pooling layers, and a classification layer. Multilayer CNNs are capable of automatic feature enhancement, denoising, feature extraction, and pattern recognition tasks, and they have been applied in automatic ...
Pi‐Yun Chen   +6 more
wiley   +1 more source

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