Ken Wong

Overview

Title

Senior Research Scientist

Location

IBM Research - Almaden San Jose, CA USA

Bio

Dr. Chun Lok (Ken) Wong received his PhD degree in Computing and Information Sciences from the Rochester Institute of Technology (RIT). After his PhD study, he joined the Asclepios Research Team at Inria Sophia Antipolis in France to co-lead the euHeart project. He worked in Dr. Ronald Summers Lab at NIH prior to joining IBM in 2016. His research interests include deep learning, medical image analysis, simulation of physiological systems, and computer-aided diagnosis. His current research includes deep learning image segmentation, classification, network pruning, and multimodal data fusion. He received two IBM Outstanding Technical Achievement Awards in 2020 and 2021.

Publications

Body part and imaging modality classification for a general radiology cognitive assistant
- - Chinyere Agunwa
  - Mehdi Moradi
  - et al.
- 2019
- SPIE Medical Imaging 2019
Identifying disease-free chest X-ray images with deep transfer learning
- - Ken C. L. Wong
  - Mehdi Moradi
  - et al.
- 2019
- SPIE Medical Imaging 2019
Building medical image classifiers with very limited data using segmentation networks
- - Ken C. L. Wong
  - Tanveer Syeda-Mahmood
  - et al.
- 2018
- Medical Image Analysis
A meshfree representation for cardiac medical image computing
- - Heye Zhang
  - Zhifan Gao
  - et al.
- 2018
- IEEE JTEHM

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Patents

- 14 Feb 2022
- US
- 11246539
Automated Detection And Type Classification Of Central Venous Catheters
- 07 Feb 2022
- US
- 11244755
Automatic Generation Of Medical Imaging Reports Based On Fine Grained Finding Labels
- 31 May 2021
- US
- 11023783
Network Architecture Search With Global Optimization
- 26 Apr 2021
- US
- 10991100
Disease Detection Algorithms Trainable With Small Number Of Positive Samples
- 08 Mar 2021
- US
- 10943353
Handling Untrainable Conditions In A Network Architecture Search
- 26 Oct 2020
- US
- 10817758
Framework For Integrating Deformable Modeling With 3d Deep Neural Network Segmentation
- 12 Oct 2020
- US
- 10803591
3d Segmentation With Exponential Logarithmic Loss For Highly Unbalanced Object Sizes
- 13 Jul 2020
- US
- 10713789
Automated Septal Defect Detection In Cardiac Computed Tomography Images
- 17 Feb 2020
- US
- 10565708
Disease Detection Algorithms Trainable With Small Number Of Positive Samples
- 19 Aug 2019
- US
- 10388015
Automated Septal Defect Detection In Cardiac Computed Tomography Images

Top collaborators

Ken Wong

Overview

Title

Location

Bio

Publications

Body part and imaging modality classification for a general radiology cognitive assistant

Identifying disease-free chest X-ray images with deep transfer learning

Building medical image classifiers with very limited data using segmentation networks

A meshfree representation for cardiac medical image computing

Patents

Automated Detection And Type Classification Of Central Venous Catheters

Automatic Generation Of Medical Imaging Reports Based On Fine Grained Finding Labels

Network Architecture Search With Global Optimization

Disease Detection Algorithms Trainable With Small Number Of Positive Samples

Handling Untrainable Conditions In A Network Architecture Search

Framework For Integrating Deformable Modeling With 3d Deep Neural Network Segmentation

3d Segmentation With Exponential Logarithmic Loss For Highly Unbalanced Object Sizes

Automated Septal Defect Detection In Cardiac Computed Tomography Images

Disease Detection Algorithms Trainable With Small Number Of Positive Samples

Automated Septal Defect Detection In Cardiac Computed Tomography Images

Top collaborators

Tanveer Syeda-Mahmood

Levente Klein

Satyananda Kashyap