## What is/are Real Time 2d?

Real Time 2d - The purpose of this study is to investigate the feasibility of tracking the intrafraction prostate motion using an intensity-based template registration technique between real-time 2D cine and 3D MRI acquired during MR-guided Adaptative Radiation Therapy (MRgART).^{[1]}In addition, real-time 2D images were acquired via optical coherence tomography (OCT) to quantify the cake layer formed on the membrane.

^{[2]}Some of these applications require real-time 2D graphics processing running on limited design specifications such as low power consumption and a small area.

^{[3]}To overcome these limitations, we used uniform 13C isotope labeling and real-time 2D heteronuclear NMR spectroscopy in live C.

^{[4]}To obtain the 3D bounding boxes of the objects, we modified a proven real-time 2D detector, YOLOv3, to predict 3D object localization, object dimensions, and object orientation.

^{[5]}We propose a deep learning real-time 2D/3D registration method based on Convolutional Neural Networks (CNN) to localize the current 2D US image relative to the available 3D TRUS reference volume.

^{[6]}The architecture of STARDOS is shown, along with example payload configurations and analysis use cases such as triangular greeness index (TGI) and feature extraction and matching for real-time 2d photogrammetry.

^{[7]}Within a few years, VisPy reached a large scientific audience and became the main real-time 2D/3D scientific rendering library in Python.

^{[8]}Fluorescence imaging technology combined with a >2MW/cm2 damage threshold, fluorescent plate and a CMOS camera was developed for real-time 2D beam profiling of high-power lasers without any attenuators and any image reconstructions.

^{[9]}This paper provides the results of real-time 2D imaging of OCR of live cells/tissues to gain spatial and temporal dynamics of target cell metabolism.

^{[10]}Users with visual impairments find it difficult to enjoy real-time 2D interactive applications on the touchscreen.

^{[11]}This work presents a fast and accurate method for real-time 2D to 3D motion estimation using a KF approach to handle the random-walk component of prostate cancer motion.

^{[12]}PURPOSE A rapid real-time 2D accelerated method was developed for MRI using principal component analysis (PCA) in the temporal domain.

^{[13]}A real-time 2D-SWE was performed using the LOGIQ E9 system (GE Medical Systems, Wisconsin, USA).

^{[14]}All participants had real-time 2D-TVS and, later, blinded off-line 3D-TVS to diagnose adenomyosis.

^{[15]}In this work, we propose an interaction-driven approach streamlined to support and improve a wide range of real-time 2D interaction metaphors for arbitrarily large pointclouds based on detected primitive shapes.

^{[16]}In particular it is shown how machine learning can help to generate point patterns useful for a variety of computer graphics tasks, how path planning can guide image warping, how sparsity-enforcing optimization can lead to significant speedups in interactive distribution effect rendering, and how probabilistic inference can be used to perform real-time 2D-to-3D conversion.

^{[17]}With or without using Doppler techniques, 3D-HyFoSy does not seem to offer benefits above real-time 2D-HyFoSy.

^{[18]}Intrafraction motion review (IMR), a real-time 2D, motion management feature of the Varian Truebeam™ incorporates triggered imaging, automatic fiducial marker detection and automatic beam hold.

^{[19]}The novelty of this sensor is that it can generate a real-time 2D subsurface image which can be used to understand structure beneath the top surface.

^{[20]}Proposed system can reconstruct real-time 2D images for continuously monitoring applications where impedance changes rapidly.

^{[21]}Based on the real-time 2D cup coordinates, audio-visual feedback about performance can be delivered to increase motivation.

^{[22]}Noninvasive neuroimaging and increased user engagement improve EEG-based neural decoding and facilitate real-time 2D robotic device control.

^{[23]}Our approach builds upon a real-time 2D multi-person pose estimation system and greedily solves the association problem between multiple views.

^{[24]}The proposed techniques enable efficient real-time 2D and 3D skeletonization of binary images, which could improve the performance of many existing machine learning applications.

^{[25]}In this study, stabilized spectra were implemented using the mean periodic signal technique to enable real-time 2D temperature measurement in harsh conditions.

^{[26]}Finally, we demonstrated video-rate, real-time 2D image acquisition using optimised source aperture geometries.

^{[27]}This new model only takes real-time 2D observation images as the weak supervision, and doesn’t rely on prior knowledge of shape models or any referenced observations.

^{[28]}Using real-time 2D-CEUS, the mean CV was 0.

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