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Temporally guided articulated hand pose tracking in surgical videos
PurposeArticulated hand pose tracking is an under-explored problem that carries the potential for use in an extensive number of applications,...
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Validation of real-time inside-out tracking and depth realization technologies for augmented reality-based neuronavigation
PurposeConcomitant with the significant advances in computing technology, the utilization of augmented reality-based navigation in clinical...
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TAToo: vision-based joint tracking of anatomy and tool for skull-base surgery
PurposeTracking the 3D motion of the surgical tool and the patient anatomy is a fundamental requirement for computer-assisted skull-base surgery....
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Enhancing electromagnetic tracking accuracy in medical applications using pre-trained witness sensor distortion models
PurposeElectromagnetic tracking (EMT) accuracy is affected by the presence of surrounding metallic materials. In this work, we propose measuring the...
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Digital in-line holographic microscopy for label-free identification and tracking of biological cells
Digital in-line holographic microscopy (DIHM) is a non-invasive, real-time, label-free technique that captures three-dimensional (3D) positional,...
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Enhancement of instrumented ultrasonic tracking images using deep learning
Purpose:Instrumented ultrasonic tracking provides needle localisation during ultrasound-guided minimally invasive percutaneous procedures. Here, a...
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Machine learning for distinguishing saudi children with and without autism via eye-tracking data
BackgroundDespite the prevalence of Autism Spectrum Disorder (ASD) globally, there’s a knowledge gap pertaining to autism in Arabic nations....
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Head motion-corrected eye gaze tracking with the da Vinci surgical system
PurposeTo facilitate the integration of point of gaze (POG) as an input modality for robot-assisted surgery, we introduce a robust head movement...
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Eye-tracking correlates of response to joint attention in preschool children with autism spectrum disorder
BackgroundA number of differences in joint attention behaviour between children with autism spectrum disorder (ASD) and typically develo** (TD)...
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Visual tracking at 4 months in preterm infants predicts 6.5-year cognition and attention
BackgroundVisual tracking of moving objects requires sustained attention and prediction of the object’s trajectory. We tested the hypothesis that...
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Further clarification of cognitive processes of prospective memory in schizophrenia by comparing eye-tracking and ecologically-valid measurements
The aim of this study is to compare ecologically-valid measure (the Cambridge Prospective Memory Test, CAMPROMPT) and laboratory measure...
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Tracking and evaluating motion skills in laparoscopy with inertial sensors
BackgroundAnalysis of surgical instrument motion is applicable in surgical skill assessment and monitoring of the learning progress in laparoscopy....
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A method of motion estimation of segmental ventricular wall with tracking of ultrasonic echocardiogram
BackgroundUltrasonic echocardiography is commonly used for monitoring myocardial dysfunction. However, it has limitations such as poor quality of...
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Study on method of organ section retention and tracking through deep learning in automated diagnostic and therapeutic robotics
PurposeIn high-intensity focused ultrasound (HIFU) treatment of the kidney and liver, tracking the organs is essential because respiratory motions...
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Free-viewing gaze patterns reveal a mood-congruency bias in MDD during an affective fMRI/eye-tracking task
Major depressive disorder (MDD) has been related to abnormal amygdala activity during emotional face processing. However, a recent large-scale study (
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Object extraction via deep learning-based marker-free tracking framework of surgical instruments for laparoscope-holder robots
PurposeThe surgical instrument tracking framework, especially the marker-free surgical instrument tracking framework, is the key to visual servoing...
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Fetal left and right ventricular strain parameters using speckle tracking in congenital heart diseases
Assessment of fetal ventricular function is mostly subjective, and currently, for the objective assessment left ventricular shortening fraction is...
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Robust hand tracking for surgical telestration
PurposeAs human failure has been shown to be one primary cause for post-operative death, surgical training is of the utmost socioeconomic importance....
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Endoscopic measurement of the size of gastrointestinal polyps using an electromagnetic tracking system and computer vision-based algorithm
PurposePolyp size is an important factor that may influence diagnosis and clinical management decision, but estimation by visual inspection during...
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Application and evaluation of surgical tool and tool tip recognition based on Convolutional Neural Network in multiple endoscopic surgical scenarios
BackgroundIn recent years, computer-assisted intervention and robot-assisted surgery are receiving increasing attention. The need for real-time...
