Jeremy Barker - Redmond WA 98052 Feng Gao - Laurel MD 20733
International Classification:
H01M 1044
US Classification:
320130, 320131
Abstract:
The present invention provides a method for cycling a battery, containing lithium metal oxide, particularly lithium manganese oxide (LMO) active material, in a cell in a manner which reduces the extent to which loss of capacity occurs. The present method of operation extends the cycle life of such battery.
Electrolytes Having Improved Low Temperature Performance
Jeremy Barker - Redmond WA Feng Gao - Henderson NV Arnold Stux - Baltimore MD
Assignee:
Valence Technology, Inc. - Henderson NV
International Classification:
H01M 616
US Classification:
429332
Abstract:
The present invention provides a novel electrolyte solvent which is usable with a variety of carbonaceous and metal oxide electrode active materials, providing improved performance over a broad temperature range, and which is stabilized to maintain cell capacity over a number of cycles.
The present invention provides an electrochemical cell having an electrolyte comprising a solvent and a solute, the solute comprising a lithium salt, and the solvent comprising an organic solvent selected from the group of lactones.
Electrolytes Having Improved Low Temperature Performance
The present invention provides a novel electrolyte solvent which is usable with a variety of carbonaceous and metal oxide electrode active materials, providing improved performance over a broad temperature range, and which is stabilized to maintain cell capacity over a number of cycles.
Method And System For Disease Quantification Modeling Of Anatomical Tree Structure
- Beijing, CN Youbing Yin - Kenmore WA, US Junjie Bai - Seattle WA, US Qi Song - Seattle WA, US Kunlin Cao - Kenmore WA, US Yi Lu - Seattle WA, US Feng Gao - Seattle WA, US
Assignee:
Keya Medical Technology Co., Ltd. - Beijing
International Classification:
G16H 50/20 G06N 3/04 G06N 3/08
Abstract:
A method and system can be used for disease quantification modeling of an anatomical tree structure. The method may include obtaining a centerline of an anatomical tree structure and generating a graph neural network including a plurality of nodes based on a graph. Each node corresponds to a centerline point and edges are defined by the centerline, with an input of each node being a disease related feature or an image patch for the corresponding centerline point and an output of each node being a disease quantification parameter. The method also includes obtaining labeled data of one or more nodes, the number of which is less than a total number of the nodes in the graph neural network. Further, the method includes training the graph neural network by transferring information between the one or more nodes and other nodes based on the labeled data of the one or more nodes.
Method And System For Generating A Centerline For An Object, And Computer Readable Medium
- Shenzhen, CN Youbing Yin - Kenmore WA, US Qi Song - Seattle WA, US Junjie Bai - Seattle WA, US Yi Lu - Seattle WA, US Yi Wu - Seattle WA, US Feng Gao - Seattle WA, US Kunlin Cao - Kenmore WA, US
Assignee:
SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION - Shenzhen
International Classification:
G06K 9/62 G06N 3/08 G06T 19/00 G06V 10/42
Abstract:
Methods and Systems for generating a centerline for an object in an image and computer readable medium are provided. The method includes receiving an image containing the object. The method also includes generating the centerline of the object, by a processor, using a reinforcement learning network configured to predict movement of a virtual agent that traces the centerline in the image. The reinforcement learning network is further configured to perform at least one auxiliary task that detects a bifurcation in a trajectory of the object. The reinforcement learning network is trained by maximizing a cumulative reward and minimizing an auxiliary loss of the at least one auxiliary task. Additionally, the method includes displaying the centerline of the object.
Method And System For Multi-Modality Joint Analysis Of Vascular Images
Embodiments of the disclosure provide methods and systems for multi-modality joint analysis of a plurality of vascular images. The exemplary system may include a communication interface configured to receive the plurality of vascular images acquired using a plurality of imaging modalities. The system may further include at least one processor, configured to extract a plurality of vessel models for a vessel of interest from the plurality of vascular images. The plurality of vessel models are associated with the plurality of imaging modalities, respectively. The at least one processor is also configured to fuse the plurality of vessel models associated with the plurality of imaging modalities to generate a fused model for the vessel of interest. The at least one processor is further configured to provide a diagnostic analysis result based on the fused model of the vessel of interest.
System And Method For Generating And Editing Diagnosis Reports Based On Medical Images
- Beijing, CN Feng Gao - Seattle WA, US Hanbo Chen - Seattle WA, US Shanhui Sun - Princeton NJ, US Junjie Bai - Seattle WA, US Zheng Te - Beijing, CN Youbing Yin - Kenmore WA, US
Assignee:
BEIJING KEYA MEDICAL TECHNOLOGY CO., LTD. - Beijing
Embodiments of the disclosure provide systems and methods for generating a report based on a medical image of a patient. An exemplary system includes a communication interface configured to receive the medical image acquired by an image acquisition device. The system may further include at least one processor. The at least one processor is configured to automatically determine keywords from a natural language description of the medical image generated by applying a learning network to the medical image. The at least one processor is further configured to generate the report describing the medical image of the patient based on the keywords. The at least one processor is also configured to provide the report for display.
Duke Universitys Feng Gao, who led an analysis published on 29 May in Science about the evolution of SARS-CoV-2, says the new work by Daszak, Shi, and colleagues underscores that researchers have just sampled the tip of the iceberg of the coronaviruses circulating between bats that could jump int
Date: Jun 01, 2020
Category: Health
Source: Google
Evolution of pandemic coronavirus outlines path from animals to humans
"Very much like the original SARS that jumped from bats to civets, or MERS that went from bats to dromedary camels, and then to humans, the progenitor of this pandemic coronavirus underwent evolutionary changes in its genetic material that enabled it to eventually infect humans," said Feng Gao, M.D.
Date: May 29, 2020
Category: Health
Source: Google
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Hope for new environmentally friendly solar c...
Feng Gao's research focuses on creating materials for cheaper, more ef...