AIMC Topic: Ice

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Evaluation of deep learning reconstruction on diffusion-weighted imaging quality and apparent diffusion coefficient using an ice-water phantom.

Radiological physics and technology
This study assessed the influence of deep learning reconstruction (DLR) on the quality of diffusion-weighted images (DWI) and apparent diffusion coefficient (ADC) using an ice-water phantom. An ice-water phantom with known diffusion properties (true ...

Deep learning for unravelling features of heterogeneous ice nucleation.

Proceedings of the National Academy of Sciences of the United States of America

Robot-Assisted Kidney Transplantation: Initial Experience with a Modified Hypothermia Technique.

Urologia internationalis
INTRODUCTION: The aim of the study was to report our initial experience of robot-assisted kidney transplantation (RAKT) with a modified hypothermia technique.

Using multiple linear regression and BP neural network to predict critical meteorological conditions of expressway bridge pavement icing.

PloS one
Icy bridge deck in winter has tremendous consequences for expressway traffic safety, which is closely related to the bridge pavement temperature. In this paper, the critical meteorological conditions of icy bridge deck were predicted by multiple line...

Deep Neural Network for Slip Detection on Ice Surface.

Sensors (Basel, Switzerland)
Slip-induced falls are among the most common causes of major occupational injuries and economic loss in Canada. Identifying the risk factors associated with slip events is key to developing preventive solutions to reduce falls. One factor is the slip...

DeepIce: A Deep Neural Network Approach To Identify Ice and Water Molecules.

Journal of chemical information and modeling
Computer simulation studies of multiphase systems rely on the accurate identification of local molecular structures and arrangements in order to extract useful insights. Local order parameters, such as Steinhardt parameters, are widely used for this ...

The application of convolution neural network based cell segmentation during cryopreservation.

Cryobiology
For most of the cells, water permeability and plasma membrane properties play a vital role in the optimal protocol for successful cryopreservation. Measuring the water permeability of cells during subzero temperature is essential. So far, there is no...

Improved freeze drying efficiency by ice nucleation proteins with ice morphology modification.

Food research international (Ottawa, Ont.)
This study aims to use ice nucleation proteins (INPs) as a novel approach to improve the efficiency of freeze drying process and investigate the related mechanism of ice morphology. Our results show that INPs can significantly improve freeze drying e...

Efficacy of an Ice Popsicle on Thirst Management in the Immediate Postoperative Period: A Randomized Clinical Trial.

Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses
PURPOSE: Perioperative thirst is an intense discomfort with high incidence in the immediate postoperative period, but nonetheless, it is highly neglected in clinical practice. The purpose of this study was to evaluate the efficacy of an ice popsicle ...

ICESat-2 laser data denoising algorithm based on a back propagation neural network.

Applied optics
The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) photon data is the emerging satellite-based LiDAR data, widely used in surveying and mapping due to its small photometric spot and high density. Since ICESat-2 data collect weak signals, it is...