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CURACLOUD CORP

Overview
  • Total Patents
    14
  • GoodIP Patent Rank
    124,345
About

CURACLOUD CORP has a total of 14 patent applications. Its first patent ever was published in 2016. It filed its patents most often in China and United States. Its main competitors in its focus markets computer technology and medical technology are TAIHAO MEDICAL INC, BEIJING CURACLOUD TECH CO LTD and KHEIRON MEDICAL TECH LTD.

Patent filings in countries

World map showing CURACLOUD CORPs patent filings in countries
# Country Total Patents
#1 China 12
#2 United States 2

Patent filings per year

Chart showing CURACLOUD CORPs patent filings per year from 1900 to 2020

Focus industries

Top inventors

# Name Total Patents
#1 Song Qi 11
#2 Yin Youbing 10
#3 Wang Xin 9
#4 Cao Kunlin 8
#5 Li Yuwei 6
#6 Bai Junjie 5
#7 Gao Feng 4
#8 Lu Yi 3
#9 Ma Bin 3
#10 Ouyang Bin 3

Latest patents

Publication Filing date Title
CN111754476A Method and system for disease quantitative modeling of anatomical tree structures
CN111728627A Diagnosis support method and diagnosis support device
US2020349706A1 Method and system for detecting chest x-ray thoracic diseases utilizing multi-view multi-scale learning
US2020349697A1 Method and system for intracerebral hemorrhage detection and segmentation based on a multi-task fully convolutional network
CN110664524A Devices, systems, and media for guiding stent implantation in a vessel
CN109949304A The training and acquisition methods of image detection learning network, image detection device and medium
CN109949300A Method, system and the computer-readable medium of anatomical tree structure analysis
CN109635876A The computer implemented method, apparatus and medium of dissection label are generated for physiology tree construction
CN109350102A For determining the method, apparatus and system of Vascular capacitance and coronary blood flow
CN106650267A System and method for using computational fluid mechanics to simulate and calculate fractional blood flow reserve
CN108122616A The generation method of the cardiovascular model of individual specificity and its application