AI Medical Compendium Topic

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Video Recording

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Two-Stream Transformer Networks for Video-Based Face Alignment.

IEEE transactions on pattern analysis and machine intelligence
In this paper, we propose a two-stream transformer networks (TSTN) approach for video-based face alignment. Unlike conventional image-based face alignment approaches which cannot explicitly model the temporal dependency in videos and motivated by the...

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.

IEEE transactions on medical imaging
Identifying and interpreting fetal standard scan planes during 2-D ultrasound mid-pregnancy examinations are highly complex tasks, which require years of training. Apart from guiding the probe to the correct location, it can be equally difficult for ...

Robotic versus thoracoscopic thymectomy: The current evidence.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The purpose of this study was to analyze all relevant comparative studies comparing robot-assisted minimally invasive thymectomy (RATS) and video-assisted thoracic surgery thymectomy (VATS) in terms of surgical and short-term outcomes.

[Comparison of different stylets used for intubation with the C-MAC D-Blade Videolaryngoscope: a randomized controlled study].

Revista brasileira de anestesiologia
OBJECTIVE: The angle of the C-MAC D-Blade videolaryngoscope, which is used for difficult airway interventions, is not compatible with routinely used endotracheal tubes.

Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition.

IEEE transactions on pattern analysis and machine intelligence
Human faces in surveillance videos often suffer from severe image blur, dramatic pose variations, and occlusion. In this paper, we propose a comprehensive framework based on Convolutional Neural Networks (CNN) to overcome challenges in video-based fa...

Deeply Learned View-Invariant Features for Cross-View Action Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Classifying human actions from varied views is challenging due to huge data variations in different views. The key to this problem is to learn discriminative view-invariant features robust to view variations. In this paper, we address this problem by...

Learning a Deep Model for Human Action Recognition from Novel Viewpoints.

IEEE transactions on pattern analysis and machine intelligence
Recognizing human actions from unknown and unseen (novel) views is a challenging problem. We propose a Robust Non-Linear Knowledge Transfer Model (R-NKTM) for human action recognition from novel views. The proposed R-NKTM is a deep fully-connected ne...

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework.

IEEE transactions on cybernetics
Ultrasound (US) imaging is a widely used screening tool for obstetric examination and diagnosis. Accurate acquisition of fetal standard planes with key anatomical structures is very crucial for substantial biometric measurement and diagnosis. However...

Honey bee hairs and pollenkitt are essential for pollen capture and removal.

Bioinspiration & biomimetics
While insect grooming has been observed and documented for over one hundred years, we present the first quantitative analysis of this highly dynamic process. Pollinating insects, like honey bees, purposely cover themselves with millions of pollen par...

Computer vision-based diameter maps to study fluoroscopic recordings of small intestinal motility from conscious experimental animals.

Neurogastroenterology and motility
BACKGROUND: When available, fluoroscopic recordings are a relatively cheap, non-invasive and technically straightforward way to study gastrointestinal motility. Spatiotemporal maps have been used to characterize motility of intestinal preparations in...