Ken C. L. Wong

Orcid: 0000-0002-9955-3953

According to our database1, Ken C. L. Wong authored at least 72 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Basis scaling and double pruning for efficient inference in network-based transfer learning.
Pattern Recognit. Lett., January, 2024

Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations.
CoRR, 2024

2023
HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Comparison of Biome-Specific AI Models to Estimate Biomass.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion.
CoRR, 2021

Basis Scaling and Double Pruning for Efficient Transfer Learning.
CoRR, 2021

Multiview and multiclass image segmentation using deep learning in fetal echocardiography.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

Channel Scaling: A Scale-And-Select Approach For Transfer Learning.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Chest X-Ray Report Generation Through Fine-Grained Label Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Quality controlled segmentation to aid disease detection.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Extracting and Learning Fine-grained Labels from Chest Radiographs.
Proceedings of the AMIA 2020, 2020

Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection.
Proceedings of the AMIA 2020, 2020

2019
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays.
CoRR, 2019

Body part and imaging modality classification for a general radiology cognitive assistant.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Identifying disease-free chest x-ray images with deep transfer learning.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Building medical image classifiers with very limited data using segmentation networks.
Medical Image Anal., 2018

3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Integrating Deformable Modeling with 3D Deep Neural Network Segmentation.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

2017
Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling.
IEEE Trans. Medical Imaging, 2017

Building Disease Detection Algorithms with Very Small Numbers of Positive Samples.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Regional infarction identification from cardiac CT images: a computer-aided biomechanical approach.
Int. J. Comput. Assist. Radiol. Surg., 2016

2015
Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion.
Medical Image Anal., 2015

Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Myocardial strain estimation from CT: towards computer-aided diagnosis on infarction identification.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Transmural Imaging of Ventricular Action Potentials and Post-Infarction Scars in Swine Hearts.
IEEE Trans. Medical Imaging, 2013

Velocity-Based Cardiac Contractility Personalization with Derivative-Free Optimization.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013

2012
Personalization of Cardiac Motion and Contractility From Images Using Variational Data Assimilation.
IEEE Trans. Biomed. Eng., 2012

Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Towards integrated noninvasive personalization of cardiac electromechanics.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Integration of different cardiac electrophysiological models into a single simulation pipeline.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Physiological Fusion of Functional and Structural Images for Cardiac Deformation Recovery.
IEEE Trans. Medical Imaging, 2011

Noninvasive Computational Imaging of Cardiac Electrophysiology for 3-D Infarct.
IEEE Trans. Biomed. Eng., 2011

A Comparative Study of Physiological Models on Cardiac Deformation Recovery: Effects of Biomechanical Constraints.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2011

Volumetric Modeling Electromechanics of the Heart.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2011

2010
Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials.
IEEE Trans. Biomed. Eng., 2010

Meshfree implementation of individualized active cardiac dynamics.
Comput. Medical Imaging Graph., 2010

Physiological Fusion of Functional and Structural Data for Cardiac Deformation Recovery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis.
Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010

A Statistical Physiological-Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac Electrophysiology Using Optical Imaging and MRI Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010

How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization.
Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010

Computational complexity reduction via mode superposition: Application to biomechanics-based nonlinear cardiac deformation recovery.
Proceedings of the International Conference on Image Processing, 2010

2009
Computational Complexity Reduction for Volumetric Cardiac Deformation Recovery.
J. Signal Process. Syst., 2009

Electrocardiographic simulation on personalised heart-torso structures using coupled meshfree-BEM platform.
Int. J. Funct. Informatics Pers. Medicine, 2009

Noninvasive Imaging of Electrophysiological Substrates in Post Myocardial Infarction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Nonlinear cardiac deformation recovery from medical images.
Proceedings of the International Conference on Image Processing, 2009

A reduced-rank square root filtering framework for noninvasive functional imaging of volumetric cardiac electrical activity.
Proceedings of the IEEE International Conference on Acoustics, 2009

Active Model with Orthotropic Hyperelastic Material for Cardiac Image Analysis.
Proceedings of the Functional Imaging and Modeling of the Heart, 2009

Electrocardiographic Simulation on Coupled Meshfree-BEM Platform.
Proceedings of the Functional Imaging and Modeling of the Heart, 2009

Noninvasive volumetric imaging of cardiac electrophysiology.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Noninvasive Functional Imaging of Volumetric Cardiac Electrical Activity: A Human Study on Myocardial Infarction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Simulation of Active Cardiac Electromechanical Dynamics.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008

Coupled Meshfree-BEM Platform for Electrocardiographic Simulation: Modeling and Validations.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008

Dynamic structural-image-guided noninvasive volumetric cardiac electrophysiological mapping.
Proceedings of the International Conference on Image Processing, 2008

2007
Integrating Functional and Structural Images for Simultaneous Cardiac Segmentation and Deformation Recovery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Noninvasive Imaging of 3d Cardiac Electrophysiology.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Physiome Model Based State-Space Framework for Cardiac Kinematics Recovery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2004
Finite Deformation Guided Nonlinear Filtering for Multiframe Cardiac Motion Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Meshfree Cardiac Motion Analysis Using Composite Material Model and Total Lagrangian Formulation.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Multiframe nonrigid motion analysis with anisotropic spatial constraints: applications to cardiac image analysis *.
Proceedings of the 2004 International Conference on Image Processing, 2004


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