A5102939404- Advanced MRI Techniques and Applications
- Cerebrovascular and Carotid Artery Diseases
- MRI in cancer diagnosis
- Intracranial Aneurysms: Treatment and Complications
- Spectroscopy and Chemometric Analyses
- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Medical Imaging Techniques and Applications
- Climate variability and models
- Tropical and Extratropical Cyclones Research
- Radiation Dose and Imaging
- Meteorological Phenomena and Simulations
- Fluid Dynamics and Turbulent Flows
- Pulsars and Gravitational Waves Research
- Advanced X-ray Imaging Techniques
- Gamma-ray bursts and supernovae
- Traumatic Brain Injury and Neurovascular Disturbances
- Advanced Radiotherapy Techniques
- Atomic and Subatomic Physics Research
- Geophysics and Gravity Measurements
- Cardiovascular Health and Disease Prevention
- Remote Sensing and LiDAR Applications
- Advanced X-ray and CT Imaging
Kyushu University
2023
Nagoya University
2018-2020
Kyoto University Hospital
2017
Fujitsu (China)
2015
Rice ( Oryza sativa L.) is one of the most important cereals, which provides 20% world’s food energy. However, its productivity poorly assessed especially in global South. Here, we provide a first study to perform deep-learning-based approach for instantaneously estimating rice yield using red-green-blue images. During ripening stage and at harvest, over 22,000 digital images were captured vertically downward canopy from distance 0.8 0.9 m 4,820 harvesting plots having 0.1 16.1 t·ha −1...
Above-ground biomass (AGB) is an important indicator of crop productivity. Destructive measurements AGB incur huge costs, and most non-destructive estimations cannot be applied to diverse cultivars having different canopy architectures. This insufficient access data has potentially limited improvements in Recently, a deep learning technique called convolutional neural network (CNN) been estimate due its high capacity for digital image recognition. However, the versatility CNN-based...
We aim to elucidate the effect of spatial resolution three-dimensional cine phase contrast magnetic resonance (3D PC MR) imaging on accuracy blood flow analysis, and examine optimal setting for using phantoms.The phantom has five types acrylic pipes that represent human vessels (inner diameters: 15, 12, 9, 6, 3 mm). The were fixed with 1% agarose containing 0.025 mol/L gadolinium agent. A blood-mimicking fluid property values was circulated through at a steady flow. Magnetic (MR) images...
Purpose: The accuracy of flow velocity and three-directional components are important for the precise visualization hemodynamics by 3D cine phase-contrast MRI (3D PC MRI, also referred to as 4D-flow). aim this study was verify these measurements prototype or commercially available obtained three different manufactures' MR scanners.
To investigate the variability of structure and evolution meso-α-scale precipitation systems generated in Baiu frontal zone, numerical experiments using a cloud-resolving non-hydrostatic model were performed with idealized Baiu-front-like environments. The environment was constructed based on hydrostatic geostrophic balances, temperature relative humidity designed by Gaussian functions to realize moist conveyor belt lower atmosphere. In order generate systems, perturbation associated shallow...