Results 191 to 200 of about 55,300 (265)

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

GBR-DETR: A Real-Time Tomato Leaf Disease Detection Model for Edge Device Deployment. [PDF]

Sensors (Basel)
Zhuo J, Dong G, Huang Q, Zhou L, Zhao F, Yuan P, Yang X.   +6 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

GPU-Accelerated Signal Processing for Distributed Vibration Sensing Based on OVNA Method. [PDF]

Sensors (Basel)
Meoli A, Vallifuoco R, Coscetta A, Zeni L, Minardo A.   +4 more
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

Review of large YOLOv8 and RT-DETR energy efficiency on edge devices for real-time detection. [PDF]

Sci Rep
Suchý I, Turčaník M.
europepmc   +1 more source

Fully 3D Unrolled Magnetic Resonance Fingerprinting Reconstruction via Staged Pretraining and Implicit Gridding

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative imaging, but high‐resolution 3D reconstructions remain computationally expensive due to the NUFFTs required at every iteration, and the commonly used Locally Low Rank (LLR) regularization becomes ineffective at high acceleration.
Yonatan Urman, Mark Nishimura, Daniel R. Abraham, Xiaozhi Cao, Kawin Setsompop   +4 more
wiley   +1 more source

Efficient Parallelization of Message Passing Neural Network Potentials for Large-Scale Molecular Dynamics. [PDF]

JACS Au
Xia J, Jiang B.
europepmc   +1 more source

Accelerating Stroke MRI With Diffusion Probabilistic Models Through Large‐Scale Pre‐Training and Target‐Specific Fine‐Tuning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a data‐efficient strategy for accelerated MRI reconstruction with Diffusion Probabilistic Generative Models (DPMs) that enables faster scan times in clinical stroke MRI when only limited fully‐sampled data are available. Methods Our simple training strategy first pre‐trains a DPM on a large, diverse collection of publicly ...
Yamin Arefeen, Sidharth Kumar, Steven Warach, Hamidreza Saber, Jonathan Isaac Tamir   +4 more
wiley   +1 more source

Technical implementation and feasibility of the world's first artificial intelligence-assisted augmented reality-based instrument de-occlusion in robotic-assisted right hemicolectomy. [PDF]

Ann Coloproctol
Petropoulou T, Backer P, Evangelou K, Simoens J, Polydorou A, Mottrie A.   +5 more
europepmc   +1 more source