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Real-time microrobot posture recognition via biplane X-ray imaging system for external electromagnetic actuation.

International journal of computer assisted radiology and surgery
PURPOSE: As a promising intravascular therapeutic approach for autonomous catheterization, especially for thrombosis treatment, a microrobot or robotic catheter driven by an external electromagnetic actuation system has been recently investigated. Ho...

Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review.

Computers in biology and medicine
PURPOSE OF REVIEW: Atherosclerosis is the leading cause of cardiovascular disease (CVD) and stroke. Typically, atherosclerotic calcium is found during the mature stage of the atherosclerosis disease. It is therefore often a challenge to identify and ...

Deep learning is combined with massive-scale citizen science to improve large-scale image classification.

Nature biotechnology
Pattern recognition and classification of images are key challenges throughout the life sciences. We combined two approaches for large-scale classification of fluorescence microscopy images. First, using the publicly available data set from the Cell ...

Effect of Initial Graft Tension During Calcaneofibular Ligament Reconstruction on Ankle Kinematics and Laxity.

The American journal of sports medicine
BACKGROUND: Although a variety of surgical procedures for lateral ankle ligament reconstruction have frequently been reported, little is known about the effects of initial graft tension. Purpose/Hypothesis: The purpose was to investigate the effects ...

Application of chaos in a recurrent neural network to control in ill-posed problems: a novel autonomous robot arm.

Biological cybernetics
Inspired by a viewpoint that complex/chaotic dynamics would play an important role in biological systems including the brain, chaotic dynamics introduced in a recurrent neural network was applied to robot control in ill-posed situations. By computer ...

Computational Optics Enables Breast Cancer Profiling in Point-of-Care Settings.

ACS nano
The global burden of cancer, severe diagnostic bottlenecks in underserved regions, and underfunded health care systems are fueling the need for inexpensive, rapid, and treatment-informative diagnostics. On the basis of advances in computational optic...

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.

Nature neuroscience
Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis ca...

EEG-Based Emotion Recognition Using Quadratic Time-Frequency Distribution.

Sensors (Basel, Switzerland)
Accurate recognition and understating of human emotions is an essential skill that can improve the collaboration between humans and machines. In this vein, electroencephalogram (EEG)-based emotion recognition is considered an active research field wi...

Sleep-wake classification via quantifying heart rate variability by convolutional neural network.

Physiological measurement
OBJECTIVE: Fluctuations in heart rate are intimately related to changes in the physiological state of the organism. We exploit this relationship by classifying a human participant's wake/sleep status using his instantaneous heart rate (IHR) series.
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The Fuzziness of the Molecular World and Its Perspectives.

Molecules (Basel, Switzerland)
Scientists want to comprehend and control complex systems. Their success depends on the ability to face also the challenges of the corresponding computational complexity. A promising research line is artificial intelligence (AI). In AI, fuzzy logic p...