Results 221 to 230 of about 66,359 (302)

Real-Time Markerless Tooth Detection Towards Dynamic Robot-Assisted Dental Implant Navigation. [PDF]

Dent J (Basel)
Bulbucan V, Pisla D, Tucan P, Dinu C, Vaida C, Mocan R, Baciut M, Stoia S, Hedesiu M, Zima I, Pisla D, Team Project Group.   +11 more
europepmc   +1 more source

Simultaneous T2, T2*, and R2′ Mapping for Multiple Sclerosis Using Nonlinear Model‐Based Reconstruction of Undersampled Radial RARE‐EPI MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To demonstrate the synergy of undersampled radial 2in1‐RARE‐EPI acquisition and nonlinear model‐based reconstruction for accelerated and simultaneous T2, T2*, and R2′ mapping in brains of patients with multiple sclerosis (MS). Methods 2in1‐RARE‐EPI combines a RARE module with an EPI module to capture T2 and T2* information.
Jose Raul Velasquez Vides, Carl J. J. Herrmann, Thomas Gladytz, Hoby P. Hetherington, Hendrik Mattern, Xiaoqing Wang, Jason M. Millward, Shahriar Shalikar, Igor Fabian Tellez Ceja, Beate Endemann, Sonia Waiczies, Joseph Kuchling, Friedemann Paul, Georg Rose, Min‐Chi Ku, Franz Schmitt, Thoralf Niendorf   +16 more
wiley   +1 more source

Efficient Thermal Pose Estimation: Balancing Accuracy and Edge Deployment for Smart Home Activity Recognition. [PDF]

Sensors (Basel)
Vdoviak G, Sledevič T, Abromavičius V, Navakauskas D, Kaklauskas A.   +4 more
europepmc   +1 more source

Zero‐Shot Self‐Supervised Learning of Single Breath‐Hold Magnetic Resonance Cholangiopancreatography (MRCP) Reconstruction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To investigate the feasibility of zero‐shot self‐supervised learning reconstruction for reducing breath‐hold times in magnetic resonance cholangiopancreatography (MRCP). Methods Breath‐hold MRCP was acquired from 11 healthy volunteers on 3T scanners using an incoherent k‐space sampling pattern, leading to a 14‐s acquisition time and an
Jinho Kim, Marcel Dominik Nickel, Florian Knoll   +2 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]

Sci Rep
Karthik RP, Govindasamy M, Muthusamy S, Routray A.   +3 more
europepmc   +1 more source

Laterally Oscillating Trajectory for Undersampling Slices: LOTUS

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose While spiral sampling offers SNR advantages for diffusion MRI, its acceleration with simultaneous multislice remains relatively unexplored. This study introduces Laterally Oscillating Trajectory for Undersampling Slices (LOTUS), which is a 3D spiral‐like k‐space trajectory that aims to minimize g‐factor via controlled incoherent ...
Mayuri Sothynathan, Paul I. Dubovan, Corey A. Baron   +2 more
wiley   +1 more source

Real-Time Beef Cattle Body Condition Scoring Using EdgeBCS-YOLO: A Lightweight Framework for Edge Deployment. [PDF]

Animals (Basel)
Liu Z, Weng Z, Zheng Z, Gong C, Wang Z, Wang J.   +5 more
europepmc   +1 more source

Design of an 8‐Channel Transmit 32‐Channel Receive 11.7T Head Coil and Evaluation of SNR Gains

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To design and develop an 8‐channel transmit 32‐channel receive 11.7T head coil for the strongest human MRI scanner to date, demonstrate safety, and evaluate signal‐to‐noise ratio (SNR) gains compared to 7T, the most used ultra‐high‐field (UHF) platform.
Son Chu, Jeslin Parackal Issac, Caroline Le Ster, Alexis Amadon, Vincent Gras, Paul‐François Gapais, Rüdiger Stirnberg, Nicolas Boulant, Shajan Gunamony   +8 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

Where were all the trees? Computer vision meets landscape history to unlock the potential of historical Ordnance Survey maps

People and Nature, EarlyView.
Abstract The first edition of the Ordnance Survey's 1:2500 County Series is marked with treed areas, such as woodlands and orchards, and, remarkably, freestanding trees. Consequently, it is an unparalleled source of information on the distribution of trees across Britain in the mid‐late nineteenth century, when the maps were first surveyed. In order to
Toby Pillatt, William A. P. Smith
wiley   +1 more source