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Wenjing Li

from Sunnyvale, CA
Age ~50
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Also known as:
Wenjing Lz, Li Wenjing
Phone and address:
529 E Mc Kinley Ave APT B, Sunnyvale, CA 94086
Related to:
Dorothy Wee ChangGary C Li, 46Ruixuan Li, 36Kum J Chun, 81G Li, 33Liping Huang, 44
Connected to:
Adeline Li, 32Agatha K Li, 48Aiping Li, 33Aiyi Li, 36Andi Li, 34Andre N Li, 27Anyun Li, 34Banny Li, 51Baozhen Li, 67Beatrice O Li, 68

Wenjing Li Phones & Addresses

  • 529 E Mc Kinley Ave APT B, Sunnyvale, CA 94086
  • Fremont, CA
  • Mountain View, CA
  • San Diego, CA
  • 400 Hobron Ln, Honolulu, HI 96815
  • Reno, NV

Resumes

Resumes

Wenjing Li Photo 1

Principal Engineer, Computer Vision

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Location:
San Francisco, CA
Industry:
Medical Devices
Work:
Stryker
Principal Engineer, Computer Vision
Abbott Jan 2014 - Jan 2018
Principal Algorithm Engineer
Optovue Aug 2011 - Jan 2014
Senior Staff Scientist
Science and Techonlogy International Sep 2010 - Jul 2011
Research Scientist
Sti Medical Systems Sep 2004 - Jul 2011
Image Processing Scientist
Education:
The Chinese University of Hong Kong
Doctorates, Doctor of Philosophy, Engineering
Skills:
Image Processing
Algorithms
Image Analysis
Medical Imaging
Computer Vision
Matlab
Machine Learning
R&D
C++
Image Segmentation
Biomedical Engineering
Programming
Pattern Recognition
Signal Processing
Computer Aided Diagnosis
Optics
Software Development
Digital Signal Processing
Research and Development
Opencv
Interests:
Human Rights
Science and Technology
Environment
Health
Languages:
Mandarin
English
Certifications:
Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Structuring Machine Learning Projects
Convolutional Neural Networks
Sequence Models
Deep Learning Specialization
Wenjing Li Photo 2

Online Shop

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Industry:
Internet
Wenjing Li Photo 3

Wenjing Li

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Wenjing Li Photo 4

Wenjing Li

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Wenjing Li Photo 5

Wenjing Li

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Location:
United States

Publications

Us Patents

Methods For Detection And Characterization Of Atypical Vessels In Cervical Imagery

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US Patent:
8090177, Jan 3, 2012
Filed:
Aug 1, 2008
Appl. No.:
12/221328
Inventors:
Sankar Venkataraman - Honolulu HI, US
Wenjing Li - Honolulu HI, US
Ulf Peter Gustafsson - Honolulu HI, US
Assignee:
STI Medical Systems, LLC - LaJolla CA
International Classification:
G06K 9/00
US Classification:
382130, 382131, 382134, 382128, 382173, 382199, 382205, 382224, 382260, 382266, 382275, 600160, 600109
Abstract:
The present invention discloses a method for the detection of atypical vessels in digital cervical imagery. A pre-processing stage is applied to enhance the contrast of blood vessel features compared to the surrounding tissue. Next, a segmentation stage is applied to identify regions of interest for atypical vessels using texture and gradient information. Finally, a post-processing stage (1) identifies other clinically relevant features in the cervical imager, and removes these features from the region of interest; and (2) uses color, size, and shape information to further refine the region of interest to eliminate false positives and determine a final region of interest. This automated method of atypical vessel detection is especially useful for diagnostic purposes such as cervical cancer detection.

Computerized Image Analysis For Acetic Acid Induced Cervical Intraepithelial Neoplasia

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US Patent:
8131054, Mar 6, 2012
Filed:
Aug 4, 2008
Appl. No.:
12/221645
Inventors:
Wenjing Li - Honolulu HI, US
Rolf Holger Wolters - Kailua HI, US
Assignee:
STI Medical Systems, LLC - La Jolla CA
International Classification:
G06K 9/00
US Classification:
382133
Abstract:
A method for differentiating cancerous lesions from surrounding tissue, which includes extracting an opacity parameter from acetowhite regions of pre acetic acid and post acetic acid images of a cervix.

Method Of Image Quality Assessment To Produce Standardized Imaging Data

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US Patent:
8295565, Oct 23, 2012
Filed:
Mar 14, 2008
Appl. No.:
12/075910
Inventors:
Jia Gu - Shenzhen, CN
Wenjing Li - Fremont CA, US
Assignee:
STI Medical Systems, LLC - La Jolla CA
International Classification:
G06K 9/00
G06K 9/36
G06K 9/40
US Classification:
382128, 382286, 382255, 382190, 382162, 382168
Abstract:
Automated image quality assessment methods, which include locating a region of interest, region assessment, contrast assessment, blur assessment, and contaminant detection, on video data and high-resolution imagery. Where the blur assessment is performed without a reference image by dividing the region into non-overlapping block, measuring the wavenumber frequency of the blocks and calculating the ratio of the low frequency to high frequency areas.

Methods Of Contrast Enhancement For Images Having Blood Vessel Structures

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US Patent:
8351667, Jan 8, 2013
Filed:
Aug 15, 2008
Appl. No.:
12/228739
Inventors:
Wenjing Li - Honolulu HI, US
Sankar Venkataraman - Honolulu HI, US
Ulf Gustafsson - Honolulu HI, US
John Taylor Hargrove - Honolulu HI, US
Assignee:
STI Medical Systems, LLC - La Jolla CA
International Classification:
G06K 9/18
US Classification:
382128
Abstract:
A method of contrast enhancement for improved visualization of diagnostically important tissue structures, such as blood vessels. A texture analysis algorithm is applied to identify regions with a high likelihood of disease. Mathematical morphology operations are applied to identify areas of high and low brightness (intensity). The low intensity areas are then subtracted, and controllably variable amounts of the high intensity areas are added, controlled by a selectable tuning parameter, to produce an image with controllably variable visualization enhancement.

Method To Provide Automated Quality Feedback To Imaging Devices To Achieve Standardized Imaging Data

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US Patent:
8401258, Mar 19, 2013
Filed:
Mar 14, 2008
Appl. No.:
12/075890
Inventors:
John Hargrove - Honolulu HI, US
Jia Gu - Honolulu HI, US
Wenjing Li - Honolulu HI, US
Rolf Holger Wolters - Kailua HI, US
Assignee:
STI Medical Systems, LLC - La Jolla CA
International Classification:
G06K 9/03
G06K 9/52
US Classification:
382128, 382311
Abstract:
Automated image quality assessment algorithms, which perform the functions of locating a region of interest, maximizing the image contrast, and ensuring the region of interest is properly centered in the image. Wherein the region of interest is located by spectral matching filter using a target spectrum obtained from samples of the image itself.

Methods For Tissue Classification In Cervical Imagery

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US Patent:
8483454, Jul 9, 2013
Filed:
Oct 9, 2009
Appl. No.:
12/587603
Inventors:
Wenjing Li - Honolulu HI, US
Assignee:
STI Medical Systems, LLC - La Jolla CA
International Classification:
G06K 9/00
US Classification:
382128
Abstract:
A rule-based unsupervised process for classifying cervical tissue by serially applying classifiers selected from the group that consists of determining size of texture region, opacity parameter, size of acetowhite regions, number of coarse and fine punctations, size of coarse and fine mosaics, size of atypical blood vessels and demographic data, so that the cervical tissue can be classified into no evidence of disease, low-grade dysplasia, high-grade dysplasia or cancer.

3D Retinal Disruptions Detection Using Optical Coherence Tomography

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US Patent:
8622548, Jan 7, 2014
Filed:
Nov 17, 2011
Appl. No.:
13/299219
Inventors:
Cheng-en Guo - Santa Clara CA, US
Ben Jang - Cupertino CA, US
Wenjing Li - Fremont CA, US
Assignee:
Optovue, Inc. - Fremont CA
International Classification:
A61B 3/14
A61B 3/00
US Classification:
351206, 351210, 351246
Abstract:
System and method for 3D retinal disruption/elevation detection, measurement and presentation using Optical Coherence Tomography (OCT) are provided. The present invention is capable of detecting and measuring the abnormal changes of retinal layers (retinal disruptions), caused by retinal diseases, such as hard drusen, soft drusen, Pigment Epithelium Detachment (PED), Choroidal Neovascularization (CNV), Geographic Atrophy (GA), intra retinal fluid space, and exudates etc. The presentations of the results are provided with quantitative measurements of disruptions in retina and can be used for diagnosis and treatment of retinal diseases.

Method Of Automated Image Color Calibration

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US Patent:
20080240558, Oct 2, 2008
Filed:
Mar 19, 2008
Appl. No.:
12/077659
Inventors:
Wenjing Li - Honolulu HI, US
Ulf Gustafsson - Honolulu HI, US
Holger Lange - San Diego CA, US
International Classification:
G06K 9/00
US Classification:
382167
Abstract:
A method of automated image calibration that corrects for non-uniform illumination and calibrates color that is simple, fast, automated, accurate and reliable. A gray balance algorithm is applied to correct for non-uniform illumination and a color calibration algorithm is then applied to calibrate the human subject data. The system has been applied in multiple clinical sites with different instruments.
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Wenjing Li from Sunnyvale, CA, age ~50 Get Report