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

HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation
- - Ken C. L. Wong
  - Hongzhi Wang
  - et al.
- 2023
- MICCAI 2023
Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity
- - Ken C. L. Wong
  - Levente Klein
  - et al.
- 2023
- IGARSS 2023
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator
- - Ken C. L. Wong
  - Hongzhi Wang
  - et al.
- 2023
- ISBI 2023
Multimodal Pediatric Lymphoma Detection using PET and MRI
- - Hongzhi Wang
  - Amirhossein Sarrami
  - et al.
- 2023
- AMIA ... Annual Symposium proceedings. AMIA Symposium
NetZeroCO₂, an AI framework for accelerated nature-based carbon sequestration
- - Ademir Ferreira Da Silva
  - Juan Nathaniel
  - et al.
- 2022
- Big Data 2022
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient
- - Ken C. L. Wong
  - Mehdi Moradi
- 2022
- MLMI 2022
Channel scaling: A scale-and-select approach for transfer learning
- - Ken C. L. Wong
  - Satyananda Kashyap
  - et al.
- 2021
- ISBI 2021
Multiview and multiclass image segmentation using deep learning in fetal echocardiography
- - Ken C. L. Wong
  - Elena S. Sinkovskaya
  - et al.
- 2021
- SPIE Medical Imaging 2021
Convolutional autoencoder based model HistoCAE for segmentation of viable tumor regions in liver whole-slide images
- - Mousumi Roy
  - Jun Kong
  - et al.
- 2021
- Scientific Reports
Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection
- - Ashutosh Jadhav
  - Ken C. L. Wong
  - et al.
- 2020
- AMIA Annual Symposium 2020

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Patents

- 11 Nov 2024
- US
- 12141701
Channel Scaling: A Scale-and-select Approach For Selective Transfer Learning
- 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

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