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Antoni B Chan

from San Mateo, CA
Age ~46
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Also known as:
Antoni Bert Chan
Phone and address:
1951 Ofarrell St APT 114, San Mateo, CA 94403
Related to:
Kwan H Chan, 78Viviane M Lee, 44Nancy ChanSuzanne Lee, 66Eliot S Lee, 63Debra M Chan, 72Debra M Chan, 74
Connected to:
Adam Chan, 59Adelfa L Chan, 62Adrienne T Chan, 45Agnes Chan, 49Ahdee Q Chan, 58Akiko Chan, 61Alicia P Chan, 44Alison Chan, 86Alissa H Chan, 28Alistair K Chan, 58

Antoni Chan Phones & Addresses

  • 1951 Ofarrell St APT 114, San Mateo, CA 94403
  • 3550 Lebon Dr #6324, San Diego, CA 92122
  • 9142 Regents Rd #E, La Jolla, CA 92037
  • 660 Stewart Ave, Ithaca, NY 14850
  • South San Francisco, CA
  • Fort Worth, TX
  • 206 E Yates St APT 1, Ithaca, NY 14850 (607) 277-7826

Work

Position: Food Preparation and Serving Related Occupations

Education

Degree: High school graduate or higher

Resumes

Resumes

Antoni Chan Photo 1

Associate Professor

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Location:
1951 Ofarrell St, San Mateo, CA 94403
Industry:
Higher Education
Work:
City University of Hong Kong
Associate Professor
City University of Hong Kong Aug 2009 - Jun 2015
Assistant Professor
University of California, San Diego Jan 2009 - Jul 2009
Postdoctoral Researcher
University of California, San Diego 2005 - 2008
Graduate Student Researcher
Google Jun 2005 - Sep 2005
Summer Intern
Education:
Uc San Diego 2003 - 2008
Doctorates, Doctor of Philosophy, Electrical Engineering Cornell University 2000 - 2001
Masters, Master of Engineering, Electrical Engineering, Engineering Cornell University 1996 - 2000
Bachelors, Bachelor of Science, Electrical Engineering
Skills:
Machine Learning
Pattern Recognition
Computer Vision
Data Mining
Artificial Intelligence
Statistics
Image Processing
Statistical Modeling
Signal Processing
Information Retrieval
Languages:
English
Antoni Chan Photo 2

Antoni Chan

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Location:
United States

Publications

Us Patents

System, Method And Apparatus For Small Pulmonary Nodule Computer Aided Diagnosis From Computed Tomography Scans

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US Patent:
7660451, Feb 9, 2010
Filed:
Feb 29, 2008
Appl. No.:
12/074211
Inventors:
Anthony P. Reeves - Ithaca NY, US
David Yankelevitz - Brooklyn NY, US
Claudia Henshke - New York NY, US
Antoni Chan - Fort Worth TX, US
Assignee:
Cornell Research Foundation, Inc. - Ithaca NY
International Classification:
G06K 9/62
US Classification:
382131, 382215, 382216, 382217, 382291
Abstract:
The present invention is directed to diagnostic imaging of small pulmonary nodules. There are two main stages in the evaluation of pulmonary nodules from Computed Tomography (CT) scans: detection, in which the locations of possible nodules are identified, and characterization, in which a nodule is represented by measured features that may be used to evaluate the probability that the nodule is cancer. Currently, the most useful prediction feature is growth rate, which requires the comparison of size estimates from two CT scans recorded at different times. The present invention includes methods for detection and feature extraction for size characterization. The invention focuses the analysis of small pulmonary nodules that are less than 1 centimeter in size, but is also suitable for larger nodules as well.

System, Method And Apparatus For Small Pulmonary Nodule Computer Aided Diagnosis From Computed Tomography Scans

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US Patent:
7751607, Jul 6, 2010
Filed:
Nov 25, 2008
Appl. No.:
12/277877
Inventors:
Anthony P. Reeves - Ithaca NY, US
David Yankelevitz - Brooklyn NY, US
Claudia Henschke - New York NY, US
Antoni Chan - San Diego CA, US
Assignee:
Cornell Research Foundation, Inc. - Ithaca NY
International Classification:
G06K 9/00
US Classification:
382131, 382173, 382128
Abstract:
The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, the lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points. The invention also improves the consistency of nodule segmentations. This invention uses rigid-body registration, histogram-matching, and a rule-based adjustment system to remove missegmented voxels between two segmentations of the same nodule at different times.

Method And Apparatus For Small Pulmonary Nodule Computer Aided Diagnosis From Computed Tomography Scans

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US Patent:
8050481, Nov 1, 2011
Filed:
Jul 2, 2010
Appl. No.:
12/829717
Inventors:
Anthony P. Reeves - Ithaca NY, US
David Yankelevitz - Brooklyn NY, US
Claudia Henschke - New York NY, US
Antoni Chan - San Diego CA, US
Assignee:
Cornell Research Foundation, Inc. - Ithaca NY
International Classification:
G06K 9/00
US Classification:
382131, 382128, 382129, 382130, 382132, 382133
Abstract:
The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, a lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images or the lung region of the CT scan pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points.

System, Method And Apparatus For Small Pulmonary Nodule Computer Aided Diagnosis From Computed Tomography Scans

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US Patent:
20040184647, Sep 23, 2004
Filed:
Oct 17, 2003
Appl. No.:
10/688267
Inventors:
Anthony Reeves - Ithaca NY, US
David Yankelevitz - Brooklyn NY, US
Claudia Henschke - New York NY, US
Antoni Chan - San Diego CA, US
International Classification:
G06K009/00
US Classification:
382/131000
Abstract:
The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, the lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points. The invention also improves the consistency of nodule segmentations. This invention uses rigid-body registration, histogram-matching, and a rule-based adjustment system to remove missegmented voxels between two segmentations of the same nodule at different times.
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Antoni B Chan from San Mateo, CA, age ~46 Get Report