AIMC Topic: Video Recording

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Evaluating the generalizability of video-based assessment of intraoperative surgical skill in capsulorhexis.

International journal of computer assisted radiology and surgery
PURPOSE: Assessment of intraoperative surgical skill is necessary to train surgeons and certify them for practice. The generalizability of deep learning models for video-based assessment (VBA) of surgical skill has not yet been evaluated. In this wor...

Machine Learning Methods to Track Dynamic Facial Function in Facial Palsy.

IEEE transactions on bio-medical engineering
OBJECTIVE: For patients with facial palsy, the wait for return of facial function and resulting vision risk from poor eye closure, difficulty speaking and eating from flaccid oral sphincter muscles, and psychological morbidity from the inability to s...

A segmentation network based on CNNs for identifying laryngeal structures in video laryngoscope images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Video laryngoscopes have become increasingly vital in tracheal intubation, providing clear imaging that significantly improves success rates, especially for less experienced clinicians. However, accurate recognition of laryngeal structures remains ch...

Prototype-guided and dynamic-aware video anomaly detection.

Neural networks : the official journal of the International Neural Network Society
Anomaly detection in intelligent surveillance system is an important and challenging task, which commonly learns a model describing normal patterns via frame reconstruction or prediction and assumes that anomalies deviate form the learned normal mode...

Memory Transmission Based Referring Video Object Segmentation.

Neural networks : the official journal of the International Neural Network Society
Referring Video Object Segmentation (RVOS) addresses the task of segmenting target objects described by textual descriptions from videos. In order to ensure the consistency of objects segmented from video frames, inter-frame modeling is adopted to ca...

Advanced traffic conflict analysis for safety evaluation at roundabouts under mixed traffic using extreme value theory.

Accident; analysis and prevention
Roundabout safety evaluation in non-lane-based, heterogeneous traffic conditions in low-middle-income countries brings challenges due to unavailable/unreliable crash data, thereby switching to the utilization of safety surrogates. This study employed...

A pipeline for enabling Nearshore Infrared Video Super-resolution to learn more high-frequency foreground information.

Neural networks : the official journal of the International Neural Network Society
A key challenge in Nearshore Infrared Video Super-resolution (NIVSR) is the limited high-frequency foreground information. The most common approach is to fuse frames in order to learn cross-temporal information. However, existing methods struggle to ...

Computer vision and tactile glove: A multimodal model in lifting task risk assessment.

Applied ergonomics
Work-related injuries from overexertion, particularly lifting, are a major concern in occupational safety. Traditional assessment tools, such as the Revised NIOSH Lifting Equation (RNLE), require significant training and practice for deployment. This...

Automated detection of anterior crossbite on intraoral images and videos utilizing deep learning.

International journal of computerized dentistry
AIM: Malocclusion has emerged as a burgeoning global public health concern. Individuals with an anterior crossbite face an elevated risk of exhibiting characteristics such as a concave facial profile, negative overjet, and poor masticatory efficiency...

Towards Automated Eye Movement Characterization for Stroke Patients Using Synthetic Video Data and Machine Learning.

Studies in health technology and informatics
Stroke is a critical medical emergency that can cause permanent disability or death. Rapid identification of stroke, especially in prehospital settings, is crucial for timely treatment. Video analysis and machine learning (ML) could facilitate the pr...