Results 181 to 190 of about 55,056 (264)
Protocol for quantitative analysis of adult zebrafish swimming behavior using DeepLabCut. [PDF]
Keerthisinghe P +3 more
europepmc +1 more source
Deep Learning‐Based Dynamic Segmentation of the Left Atrium in 4D Flow MRI
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 +16 more
wiley +1 more source
Efficient Thermal Pose Estimation: Balancing Accuracy and Edge Deployment for Smart Home Activity Recognition. [PDF]
Vdoviak G +4 more
europepmc +1 more source
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 +4 more
wiley +1 more source
Spectrally optimised YOLOv10s-SeqOpt framework for real-time UAV-based early detection of avocado foliar diseases in indian orchards. [PDF]
Karthik RP +3 more
europepmc +1 more source
ABSTRACT Purpose To develop and evaluate an automated clinical prototype for a 1‐min free‐breathing T1‐weighted 3D MRI and a 2.25‐min 4D MRI utilizing radial k‐space acquisition and deep learning (DL) auto‐navigation and reconstruction. Methods The clinical prototype was deployed on 3 T GE Healthcare scanners, using the GE DISCO‐Star (radial golden ...
Victor Murray +8 more
wiley +1 more source
Real-Time Beef Cattle Body Condition Scoring Using EdgeBCS-YOLO: A Lightweight Framework for Edge Deployment. [PDF]
Liu Z +5 more
europepmc +1 more source
ABSTRACT Purpose To develop a unified image reconstruction framework that bridges real‐time and gated cardiac MRI, including quantitative MRI. Methods We introduce generative multitasking, which learns subject‐ and dataset‐specific implicit neural temporal bases from sequence timings and an interpretable latent space for cardiac and respiratory motion.
Xinguo Fang, Anthony G. Christodoulou
wiley +1 more source
GBR-DETR: A Real-Time Tomato Leaf Disease Detection Model for Edge Device Deployment. [PDF]
Zhuo J +6 more
europepmc +1 more source
Combined ADC and T2 Mapping in the Prostate Using a 3D Reduced FOV Sequence
ABSTRACT Purpose To develop a 3D reduced FOV sequence for combined ADC and T2 mapping in the prostate in a single scan. Methods A 3D ADC and T2 mapping reduced FOV acquisition is enabled using T2 and diffusion preparation modules with slab‐selective tip‐down pulses and magnitude stabilizer gradients.
Yannik Ott +8 more
wiley +1 more source

