Ken C. L. Wong

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 46

Top Topics

Transfer Learning

Biomechanical Model

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Basis scaling and double pruning for efficient inference in network-based transfer learning. Pattern Recognit. Lett. 177 (2024)
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. MICCAI (4) (2023)
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. CoRR (2023)
Ademir Ferreira da Silva, Maciel Zortea, Alexandre Alkmim Chamon, Levente J. Klein, Ken C. L. Wong, Hongzhi Wang, Jitendra Singh
Comparison of Biome-Specific AI Models to Estimate Biomass. IGARSS (2023)
Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer Syeda-Mahmood
Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. IGARSS (2023)
Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. ISBI (2023)
Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer Syeda-Mahmood
Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. CoRR (2023)
Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-Mahmood
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. CoRR (2023)
Ademir Ferreira da Silva, Juan Nathaniel, Ken C. L. Wong, Campbell D. Watson, Hongzhi Wang, Jitendra Singh, Alexandre Alkmim Chamon, Levente J. Klein
NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration. Big Data (2022)
Ken C. L. Wong, Mehdi Moradi
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. CoRR (2022)
Ken C. L. Wong, Mehdi Moradi
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. MLMI@MICCAI (2022)
Ken C. L. Wong, Elena S. Sinkovskaya, Alfred Z. Abuhamad, Tanveer F. Syeda-Mahmood
Multiview and multiclass image segmentation using deep learning in fetal echocardiography. Medical Imaging: Computer-Aided Diagnosis (2021)
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Channel Scaling: A Scale-And-Select Approach For Transfer Learning. ISBI (2021)
Ken C. L. Wong, Elena S. Sinkovskaya, Alfred Z. Abuhamad, Tanveer F. Syeda-Mahmood
Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography. CoRR (2021)
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Channel Scaling: A Scale-and-Select Approach for Transfer Learning. CoRR (2021)
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Basis Scaling and Double Pruning for Efficient Transfer Learning. CoRR (2021)
Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. CoRR (2021)
Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. ISBI (2020)
Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. CoRR (2020)
Mehdi Moradi, Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
Quality controlled segmentation to aid disease detection. Medical Imaging: Computer-Aided Diagnosis (2020)
Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko
Extracting and Learning Fine-grained Labels from Chest Radiographs. AMIA (2020)
Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi
Chest X-ray Report Generation through Fine-Grained Label Learning. CoRR (2020)
Ashutosh Jadhav, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection. AMIA (2020)
Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi
Chest X-Ray Report Generation Through Fine-Grained Label Learning. MICCAI (2) (2020)
Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko
Extracting and Learning Fine-Grained Labels from Chest Radiographs. CoRR (2020)
Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Anup Pillai, Arjun Sharma, Yaniv Gur, Hassan M. Ahmad, Minnekanti Sunil Chowdary, Chiranjeevi J, Kiran Kumar Reddy Polaka, Venkateswar Wunnava, D. C. Reddy, Tanveer F. Syeda-Mahmood
A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs. ISBI (2020)
Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. MICCAI (6) (2019)
Ken C. L. Wong, Mehdi Moradi
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. MICCAI (3) (2019)
Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. CoRR (2019)
Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, Karthik Sheshadri, Weiting Wang, Ken C. L. Wong, Joy T. Wu
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. CoRR (2019)
Ken C. L. Wong, Mehdi Moradi
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. CoRR (2019)
Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, K. Seshadhri, Weiting Wang, Ken C. L. Wong, Joy T. Wu
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. ISBI (2019)
Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
Identifying disease-free chest x-ray images with deep transfer learning. Medical Imaging: Computer-Aided Diagnosis (2019)
Chinyere Agunwa, Mehdi Moradi, Ken C. L. Wong, Tanveer F. Syeda-Mahmood
Body part and imaging modality classification for a general radiology cognitive assistant. Medical Imaging: Image Processing (2019)
Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
Identifying disease-free chest X-ray images with deep transfer learning. CoRR (2019)
Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Boosting the rule-out accuracy of deep disease detection using class weight modifiers. CoRR (2019)
Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers. ISBI (2019)
Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer F. Syeda-Mahmood
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. MICCAI (3) (2018)
Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi
Building medical image classifiers with very limited data using segmentation networks. Medical Image Anal. 49 (2018)
Hui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang, Ahmed El Harouni, Tanveer F. Syeda-Mahmood
Integrating Deformable Modeling with 3D Deep Neural Network Segmentation. DLMIA/ML-CDS@MICCAI (2018)
Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. CoRR (2018)
Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer Fathima Syeda-Mahmood
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. CoRR (2018)
Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi
Building medical image classifiers with very limited data using segmentation networks. CoRR (2018)
Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. MICCAI (3) (2017)
Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling. IEEE Trans. Medical Imaging 36 (1) (2017)
Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao
Regional infarction identification from cardiac CT images: a computer-aided biomechanical approach. Int. J. Comput. Assist. Radiol. Surg. 11 (9) (2016)
Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao
Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM. MICCAI (2) (2015)
Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion. IPMI (2015)
Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion. Medical Image Anal. 25 (1) (2015)
Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao
Myocardial strain estimation from CT: towards computer-aided diagnosis on infarction identification. Medical Imaging: Computer-Aided Diagnosis (2015)
Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization. MICCAI (2) (2014)
Linwei Wang, Fady Dawoud, Sai Kit Yeung, Pengcheng Shi, Ken C. L. Wong, Huafeng Liu, Albert C. Lardo
Transmural Imaging of Ventricular Action Potentials and Post-Infarction Scars in Swine Hearts. IEEE Trans. Medical Imaging 32 (4) (2013)
Ken C. L. Wong, Maxime Sermesant, Jatin Relan, Kawal S. Rhode, Matthew Ginks, C. Aldo Rinaldi, Reza Razavi, Hervé Delingette, Nicholas Ayache
Velocity-Based Cardiac Contractility Personalization with Derivative-Free Optimization. STACOM (2013)
Oscar Camara, Maxime Sermesant, Pablo Lamata, Linwei Wang, Mihaela Pop, Jatin Relan, Mathieu De Craene, Hervé Delingette, Huafeng Liu, Steven A. Niederer, Ali Pashaei, Gernot Plank, Daniel Romero, Rafael Sebastián, Ken C. L. Wong, Heye Zhang, Nicholas Ayache, Alejandro F. Frangi, Pengcheng Shi, Nic Smith, Graham A. Wright
Integration of different cardiac electrophysiological models into a single simulation pipeline. ISBI (2012)
Ken C. L. Wong, Jatin Relan, Linwei Wang, Maxime Sermesant, Hervé Delingette, Nicholas Ayache, Pengcheng Shi
Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images. MICCAI (1) (2012)
Herve Delingette, Florence Billet, Ken C. L. Wong, Maxime Sermesant, Kawal S. Rhode, Matthew Ginks, C. Aldo Rinaldi, Reza Razavi, Nicholas Ayache
Personalization of Cardiac Motion and Contractility From Images Using Variational Data Assimilation. IEEE Trans. Biomed. Eng. 59 (1) (2012)
Hongda Mao, Linwei Wang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
Towards integrated noninvasive personalization of cardiac electromechanics. ISBI (2012)
Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
Physiological Fusion of Functional and Structural Images for Cardiac Deformation Recovery. IEEE Trans. Medical Imaging 30 (4) (2011)
Linwei Wang, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi
Noninvasive Computational Imaging of Cardiac Electrophysiology for 3-D Infarct. IEEE Trans. Biomed. Eng. 58 (4) (2011)
Ken C. L. Wong, Linwei Wang, Huafeng Liu, Pengcheng Shi
A Comparative Study of Physiological Models on Cardiac Deformation Recovery: Effects of Biomechanical Constraints. MICCAI (1) (2011)
Linwei Wang, Fady Dawoud, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Albert C. Lardo, Pengcheng Shi
Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction. STACOM (2011)
Hongda Mao, Linwei Wang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
Volumetric Modeling Electromechanics of the Heart. STACOM (2011)
Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials. IEEE Trans. Biomed. Eng. 57 (2) (2010)
Ken C. L. Wong, Linwei Wang, Heye Zhang, Pengcheng Shi
Computational complexity reduction via mode superposition: Application to biomechanics-based nonlinear cardiac deformation recovery. ICIP (2010)
Linwei Wang, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi
How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization. STACOM/CESC (2010)
Ken C. L. Wong, Florence Billet, Tommaso Mansi, Radomír Chabiniok, Maxime Sermesant, Hervé Delingette, Nicholas Ayache
Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis. STACOM/CESC (2010)
Linwei Wang, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi
A Statistical Physiological-Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac Electrophysiology Using Optical Imaging and MRI Data. STACOM/CESC (2010)
Ken C. L. Wong, Linwei Wang, Heye Zhang, Pengcheng Shi
Physiological Fusion of Functional and Structural Data for Cardiac Deformation Recovery. MICCAI (1) (2010)
Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
Meshfree implementation of individualized active cardiac dynamics. Comput. Medical Imaging Graph. 34 (1) (2010)
Linwei Wang, Ken C. L. Wong, Heye Zhang, Pengcheng Shi
Electrocardiographic Simulation on Coupled Meshfree-BEM Platform. FIMH (2009)
Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
Computational Complexity Reduction for Volumetric Cardiac Deformation Recovery. J. Signal Process. Syst. 55 (1-3) (2009)
Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
Noninvasive Imaging of Electrophysiological Substrates in Post Myocardial Infarction. MICCAI (1) (2009)
Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
Electrocardiographic simulation on personalised heart-torso structures using coupled meshfree-BEM platform. Int. J. Funct. Informatics Pers. Medicine 2 (2) (2009)
Ken C. L. Wong, Linwei Wang, Heye Zhang, Pengcheng Shi
Nonlinear cardiac deformation recovery from medical images. ICIP (2009)
Ken C. L. Wong, Linwei Wang, Pengcheng Shi
Active Model with Orthotropic Hyperelastic Material for Cardiac Image Analysis. FIMH (2009)
Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
Noninvasive volumetric imaging of cardiac electrophysiology. CVPR (2009)
Linwei Wang, Heye Zhang, Ken C. L. Wong, Pengcheng Shi
A reduced-rank square root filtering framework for noninvasive functional imaging of volumetric cardiac electrical activity. ICASSP (2009)
Linwei Wang, Ken C. L. Wong, Heye Zhang, Pengcheng Shi
Noninvasive Functional Imaging of Volumetric Cardiac Electrical Activity: A Human Study on Myocardial Infarction. MICCAI (1) (2008)
Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
Simulation of Active Cardiac Electromechanical Dynamics. MIAR (2008)
Linwei Wang, Heye Zhang, Ken C. L. Wong, Pengcheng Shi
Coupled Meshfree-BEM Platform for Electrocardiographic Simulation: Modeling and Validations. MIAR (2008)
Linwei Wang, Ken C. L. Wong, Heye Zhang, Pengcheng Shi
Dynamic structural-image-guided noninvasive volumetric cardiac electrophysiological mapping. ICIP (2008)
Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
Noninvasive Imaging of 3d Cardiac Electrophysiology. ISBI (2007)
Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
Integrating Functional and Structural Images for Simultaneous Cardiac Segmentation and Deformation Recovery. MICCAI (1) (2007)
Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi
Physiome Model Based State-Space Framework for Cardiac Kinematics Recovery. MICCAI (1) (2006)
Pengcheng Shi, Huafeng Liu, Alexandra L. N. Wong, Ken C. L. Wong, Albert J. Sinusas
Meshfree Cardiac Motion Analysis Using Composite Material Model and Total Lagrangian Formulation. ISBI (2004)
Ken C. L. Wong, Huafeng Liu, Albert J. Sinusas, Pengcheng Shi
Multiframe nonrigid motion analysis with anisotropic spatial constraints: applications to cardiac image analysis *. ICIP (2004)
Ken C. L. Wong, Pengcheng Shi
Finite Deformation Guided Nonlinear Filtering for Multiframe Cardiac Motion Analysis. MICCAI (1) (2004)