Near-infrared multispectral imaging (NIR-MSI) has attracted attention in the surgical field owing to its ability to penetrate tissues and analyze molecular vibrations with high spa...
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Intercellular communication is mediated by fibrous structures known as tunneling nanotubes (TNTs). TNTs are present in diseased cells, including cancer cells, and facilitate the tr...
Phase-change nano-droplets (PCNDs) have been gaining attention for their potential applications in ultrasound-based therapeutic and diagnostic technologies. PCNDs transform from a ...
Atrial fibrillation (AF) is the most common arrhythmia that increases the risk of cardiac diseases such as stroke; hence, its early detection is important. Although many studies ha...
An intravascular shunt (arteriovenous anastomosis) created during hemodialysis is a common site of stenosis. Early detection of stenosis is crucial for treatment; hence, shunt soun...
Predicting spatiotemporal neural activity could lead to early detection of seizures and better understanding of cognitive processes in the brain. Parallel reservoir computing, wher...
Urine-related information, such as voided volume and flow rate, is important for the diagnosis of dysuria. Uroflowmeters, which are used for obtaining urine information, measure ma...
We investigated a system identification method for modeling the standing posture without external perturbation. Assuming that postural sway during quiet standing is caused by inter...
Surgical cameras and endoscopes provide important imaging information about a patient's anatomy and pathology, but most of the data are limited to 2D textured representations of vi...
To realize real-time image registration between preoperative three-dimensional ultrasound images and an intraoperative two-dimensional (2D) ultrasound image, accurate image extract...
Mindfulness (MF) is a type of meditation, the purpose of which is to free the mind from anxiety about the future and regrets about the past. Usually with MF, a person counts the nu...
The development of data measurement and pattern recognition modules using wearable sensing technology and deep-learning models has encouraged the realization of daily and long-term...
Regenerative medicine involves the regeneration and repair of cells, tissues, and organs to restore health. To meet the requirements of clinical applications, it is necessary to co...
Humanlike text-to-speech synthesis has not yet been achieved using machines. Reading speed is a critical parameter determining natural prosody and is used to assess the quality of ...
The experience referred to as “flow” is characterized by complete immersion in an activity and achievement of excellent performance. Thus far, methods for assessing the intensity o...
We propose data augmentation using fractal images to train deep learning models for medical image diagnosis. Deep learning models for image classification typically demand large da...
The effects of the region-specific material properties of the patellar tendon (PT) on the magnitude and distribution of local stress and strain are poorly understood. Hence, this s...
To achieve low-energy defibrillation for ventricular tachycardia (VT) and fibrillation (VF), an experimental system is essential to investigate appropriate point stimulation protoc...
This study evaluated the validity of using pulse rate variability (PRV) obtained from green light photoplethysmography (PPG) as an alternative index of heart rate variability (HRV)...
The utilization of calcium chloride (CaCl2) pre-crosslinking in gelatin-alginate ink holds promise for creating printable ink formulations that exhibit good printability and do not...
