Results 201 to 210 of about 55,120 (264)

Image processing-based warning system for preventing the fuel selector valve from remaining closed in small trainer aircraft. [PDF]

Sci Rep
Çoban İH, Kazan FA.
europepmc   +1 more source

Why Use Immersive Virtual Reality to Assess Gait in Functional Motor Disorders?

Movement Disorders, EarlyView.
Abstract Background Functional motor disorders (FMD) are disabling conditions modulated by attentional demands. Immersive virtual reality (iVR) engages multiple attentional and sensory networks, but its application in people with FMD (PwFMD) remains limited.
Marialuisa Gandolfi, Chiara Bonetto, Corrado Perin, Angela Sandri, Giulia Bonardi, Ilaria Antonella Di Vico, Laura Avanzino, Elisa Pelosin, Mauro Crestani, Christian Geroin, Denis Vidale, Marco Pirini, Mirta Fiorio, Michele Tinazzi, Francesca Salaorni   +14 more
wiley   +1 more source

Kilometer-scale convection-allowing model emulation using generative diffusion modeling. [PDF]

Sci Adv
Pathak J, Cohen Y, Garg P, Harrington P, Brenowitz N, Durran D, Mardani M, Vahdat A, Xu S, Kashinath K, Pritchard M.   +10 more
europepmc   +1 more source

A Deep Nonlinear Subspace Modeling and Reconstruction for Diffusion‐Weighted Imaging Using Denoising Auto‐Encoder

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To present a novel, nonlinear subspace modeling and joint k–q‐space reconstruction technique for high‐resolution, multi‐band, multi‐shell diffusion‐weighted imaging (DWI). Methods High b‐value (> 1000 s/mm2), high resolution DWI has the drawback of generally low signal‐to‐noise ratios (SNRs).
Julius Glaser, Zhengguo Tan, Annika Hofmann, Frederik Bernd Laun, Florian Knoll   +4 more
wiley   +1 more source

HA-DETR: accelerating real-time object detection by replacing decoder self-attention. [PDF]

Sci Rep
Tang Y, Wang S.
europepmc   +1 more source

Deep Learning‐Based Dynamic Segmentation of the Left Atrium in 4D Flow MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To design a deep learning pipeline for automated, time‐resolved segmentation of the left atrium (LA) from 4D flow MRI data. Methods We studied 100 individuals including 65 patients with atrial fibrillation (AF) and 35 healthy subjects (HS) resulting in 2530 4D flow MRI time‐volumes acquired in different centers and scanners.
Jonas Leite, Tom Da‐Silva Faria, Marie Shannon Soulez, Khaoula Bouazizi, Perrine Marsac, Elie Mousseaux, Jérôme Lamy, Moussa Gueda Moussa, Olivier Piot, Jacques Feignoux, Daniel Giese, Nicolas Badenco, Estelle Gandjbakhch, Alban Redheuil, Mikaël Laredo, Emilie Bollache, Nadjia Kachenoura   +16 more
wiley   +1 more source

Accelerating the tuning process for optimizing DNN operators by ROFT model. [PDF]

Sci Rep
He Z, Zhong H, Shi X, Zhao C, Wen J, Shang M.   +5 more
europepmc   +1 more source

Recent advances in artificial intelligence for radiology report generation: a brief review. [PDF]

BJR Artif Intell
Tran C, Pal B, Stirrat T, Shi V, Umair M.   +4 more
europepmc   +1 more source

NVIDIA CUDA [Slides]

, 2019
openaire   +2 more sources

ON-NSW: Accelerating High-Dimensional Vector Search on Edge Devices with GPU-Optimized NSW. [PDF]

Sensors (Basel)
Park T, Lee H, Na Y, Kim WH.
europepmc   +1 more source