Multiframe nonrigid motion analysis with anisotropic spatial constraints: applications to cardiac image analysis *. - Ken C. L. Wong; Huafeng Liu 003; Albert J. Sinusas; Pengcheng Shi (ICIP, 2004)

Meshfree Cardiac Motion Analysis Using Composite Material Model and Total Lagrangian Formulation. - Pengcheng Shi; Huafeng Liu 003; Alexandra L. N. Wong; Ken C. L. Wong; Albert J. Sinusas (ISBI, 2004)

Finite Deformation Guided Nonlinear Filtering for Multiframe Cardiac Motion Analysis. - Ken C. L. Wong; Pengcheng Shi (MICCAI (1), 2004)

Physiome Model Based State-Space Framework for Cardiac Kinematics Recovery. - Ken C. L. Wong; Heye Zhang; Huafeng Liu 003; Pengcheng Shi (MICCAI (1), 2006)

Noninvasive Imaging of 3d Cardiac Electrophysiology. - Linwei Wang; Heye Zhang; Ken C. L. Wong; Huafeng Liu 003; Pengcheng Shi (ISBI, 2007)

Integrating Functional and Structural Images for Simultaneous Cardiac Segmentation and Deformation Recovery. - Ken C. L. Wong; Linwei Wang; Heye Zhang; Huafeng Liu 003; Pengcheng Shi (MICCAI (1), 2007)

Dynamic structural-image-guided noninvasive volumetric cardiac electrophysiological mapping. - Linwei Wang; Ken C. L. Wong; Heye Zhang; Pengcheng Shi (ICIP, 2008)

Coupled Meshfree-BEM Platform for Electrocardiographic Simulation: Modeling and Validations. - Linwei Wang; Heye Zhang; Ken C. L. Wong; Pengcheng Shi (MIAR, 2008)

Simulation of Active Cardiac Electromechanical Dynamics. - Ken C. L. Wong; Linwei Wang; Heye Zhang; Huafeng Liu 003; Pengcheng Shi (MIAR, 2008)

Noninvasive Functional Imaging of Volumetric Cardiac Electrical Activity: A Human Study on Myocardial Infarction. - Linwei Wang; Ken C. L. Wong; Heye Zhang; Pengcheng Shi (MICCAI (1), 2008)

Noninvasive volumetric imaging of cardiac electrophysiology. - Linwei Wang; Heye Zhang; Ken C. L. Wong; Huafeng Liu 003; Pengcheng Shi (CVPR, 2009)

Electrocardiographic Simulation on Coupled Meshfree-BEM Platform. - Linwei Wang; Ken C. L. Wong; Heye Zhang; Pengcheng Shi (FIMH, 2009)

Active Model with Orthotropic Hyperelastic Material for Cardiac Image Analysis. - Ken C. L. Wong; Linwei Wang; Pengcheng Shi (FIMH, 2009)

A reduced-rank square root filtering framework for noninvasive functional imaging of volumetric cardiac electrical activity. - Linwei Wang; Heye Zhang; Ken C. L. Wong; Pengcheng Shi (ICASSP, 2009)

Nonlinear cardiac deformation recovery from medical images. - Ken C. L. Wong; Linwei Wang; Heye Zhang; Pengcheng Shi (ICIP, 2009)

Noninvasive Imaging of Electrophysiological Substrates in Post Myocardial Infarction. - Linwei Wang; Heye Zhang; Ken C. L. Wong; Huafeng Liu 003; Pengcheng Shi (MICCAI (1), 2009)

Electrocardiographic simulation on personalised heart-torso structures using coupled meshfree-BEM platform. - Linwei Wang; Heye Zhang; Ken C. L. Wong; Huafeng Liu 003; Pengcheng Shi (Int. J. Funct. Informatics Pers. Medicine, 2009)

Computational Complexity Reduction for Volumetric Cardiac Deformation Recovery. - Ken C. L. Wong; Linwei Wang; Heye Zhang; Huafeng Liu 003; Pengcheng Shi (J. Signal Process. Syst., 2009)

Computational complexity reduction via mode superposition: Application to biomechanics-based nonlinear cardiac deformation recovery. - Ken C. L. Wong; Linwei Wang; Heye Zhang; Pengcheng Shi (ICIP, 2010)

How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization. - Linwei Wang; Ken C. L. Wong; Heye Zhang; Huafeng Liu 003; Pengcheng Shi (STACOM/CESC, 2010)

A Statistical Physiological-Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac Electrophysiology Using Optical Imaging and MRI Data. - Linwei Wang; Ken C. L. Wong; Heye Zhang; Huafeng Liu 003; Pengcheng Shi (STACOM/CESC, 2010)

Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis. - Ken C. L. Wong; Florence Billet; Tommaso Mansi; Radomír Chabiniok; Maxime Sermesant; Hervé Delingette; Nicholas Ayache (STACOM/CESC, 2010)

Physiological Fusion of Functional and Structural Data for Cardiac Deformation Recovery. - Ken C. L. Wong; Linwei Wang; Heye Zhang; Pengcheng Shi (MICCAI (1), 2010)

Meshfree implementation of individualized active cardiac dynamics. - Ken C. L. Wong; Linwei Wang; Heye Zhang; Huafeng Liu 003; Pengcheng Shi (Comput. Medical Imaging Graph., 2010)

Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials. - Linwei Wang; Heye Zhang; Ken C. L. Wong; Huafeng Liu 003; Pengcheng Shi (IEEE Trans. Biomed. Eng., 2010)

Volumetric Modeling Electromechanics of the Heart. - Hongda Mao; Linwei Wang; Ken C. L. Wong; Huafeng Liu 003; Pengcheng Shi (STACOM, 2011)

Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction. - Linwei Wang; Fady Dawoud; Ken C. L. Wong; Heye Zhang; Huafeng Liu 003; Albert C. Lardo; Pengcheng Shi (STACOM, 2011)

A Comparative Study of Physiological Models on Cardiac Deformation Recovery: Effects of Biomechanical Constraints. - Ken C. L. Wong; Linwei Wang; Huafeng Liu 003; Pengcheng Shi (MICCAI (1), 2011)

Noninvasive Computational Imaging of Cardiac Electrophysiology for 3-D Infarct. - Linwei Wang; Ken C. L. Wong; Heye Zhang; Huafeng Liu 003; Pengcheng Shi (IEEE Trans. Biomed. Eng., 2011)

Physiological Fusion of Functional and Structural Images for Cardiac Deformation Recovery. - Ken C. L. Wong; Linwei Wang; Heye Zhang; Huafeng Liu 003; Pengcheng Shi (IEEE Trans. Medical Imaging, 2011)

Integration of different cardiac electrophysiological models into a single simulation pipeline. - Oscar Camara 001; Maxime Sermesant; Pablo Lamata; Linwei Wang; Mihaela Pop; Jatin Relan; Mathieu De Craene; Hervé Delingette; Huafeng Liu 003; Steven A. Niederer; Ali Pashaei; Gernot Plank; et al. (ISBI, 2012)

Towards integrated noninvasive personalization of cardiac electromechanics. - Hongda Mao; Linwei Wang; Ken C. L. Wong; Huafeng Liu 003; Pengcheng Shi (ISBI, 2012)

Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images. - Ken C. L. Wong; Jatin Relan; Linwei Wang; Maxime Sermesant; Hervé Delingette; Nicholas Ayache; Pengcheng Shi (MICCAI (1), 2012)

Personalization of Cardiac Motion and Contractility From Images Using Variational Data Assimilation. - Herve Delingette; Florence Billet; Ken C. L. Wong; Maxime Sermesant; Kawal S. Rhode; Matthew Ginks; C. Aldo Rinaldi; Reza Razavi; Nicholas Ayache (IEEE Trans. Biomed. Eng., 2012)

Velocity-Based Cardiac Contractility Personalization with Derivative-Free Optimization. - Ken C. L. Wong; Maxime Sermesant; Jatin Relan; Kawal S. Rhode; Matthew Ginks; C. Aldo Rinaldi; Reza Razavi; Hervé Delingette; Nicholas Ayache (STACOM, 2013)

Transmural Imaging of Ventricular Action Potentials and Post-Infarction Scars in Swine Hearts. - Linwei Wang; Fady Dawoud; Sai Kit Yeung; Pengcheng Shi; Ken C. L. Wong; Huafeng Liu 003; Albert C. Lardo (IEEE Trans. Medical Imaging, 2013)

Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization. - Ken C. L. Wong; Ronald M. Summers; Electron Kebebew; Jianhua Yao 001 (MICCAI (2), 2014)

Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion. - Ken C. L. Wong; Ronald M. Summers; Electron Kebebew; Jianhua Yao 001 (IPMI, 2015)

Myocardial strain estimation from CT: towards computer-aided diagnosis on infarction identification. - Ken C. L. Wong; Michael Tee; Marcus Chen; David A. Bluemke; Ronald M. Summers; Jianhua Yao 001 (Computer-Aided Diagnosis, 2015)

Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM. - Ken C. L. Wong; Michael Tee; Marcus Chen; David A. Bluemke; Ronald M. Summers; Jianhua Yao 001 (MICCAI (2), 2015)

Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion. - Ken C. L. Wong; Ronald M. Summers; Electron Kebebew; Jianhua Yao 001 (Medical Image Anal., 2015)

Regional infarction identification from cardiac CT images: a computer-aided biomechanical approach. - Ken C. L. Wong; Michael Tee; Marcus Chen; David A. Bluemke; Ronald M. Summers; Jianhua Yao 001 (Int. J. Comput. Assist. Radiol. Surg., 2016)

Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. - Ken C. L. Wong; Alexandros Karargyris; Tanveer F. Syeda-Mahmood; Mehdi Moradi (MICCAI (3), 2017)

Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling. - Ken C. L. Wong; Ronald M. Summers; Electron Kebebew; Jianhua Yao 001 (IEEE Trans. Medical Imaging, 2017)

Integrating Deformable Modeling with 3D Deep Neural Network Segmentation. - Hui Tang; Mehdi Moradi; Ken C. L. Wong; Hongzhi Wang 002; Ahmed El Harouni; Tanveer F. Syeda-Mahmood (DLMIA/ML-CDS@MICCAI, 2018)

3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. - Ken C. L. Wong; Mehdi Moradi; Hui Tang; Tanveer F. Syeda-Mahmood (MICCAI (3), 2018)

Building medical image classifiers with very limited data using segmentation networks. - Ken C. L. Wong; Tanveer F. Syeda-Mahmood; Mehdi Moradi (Medical Image Anal., 2018)

Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers. - Alexandros Karargyris; Ken C. L. Wong; Joy T. Wu; Mehdi Moradi; Tanveer F. Syeda-Mahmood (ISBI, 2019)

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. - 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 (ISBI, 2019)

Identifying disease-free chest x-ray images with deep transfer learning. - Ken C. L. Wong; Mehdi Moradi; Joy T. Wu; Tanveer F. Syeda-Mahmood (Computer-Aided Diagnosis, 2019)

Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. - Vaishnavi Subramanian; Hongzhi Wang 002; Joy T. Wu; Ken C. L. Wong; Arjun Sharma; Tanveer F. Syeda-Mahmood (MICCAI (6), 2019)

SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. - Ken C. L. Wong; Mehdi Moradi (MICCAI (3), 2019)

Body part and imaging modality classification for a general radiology cognitive assistant. - Chinyere Agunwa; Mehdi Moradi; Ken C. L. Wong; Tanveer F. Syeda-Mahmood (Image Processing, 2019)

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

Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection. - Ashutosh Jadhav; Ken C. L. Wong; Joy T. Wu; Mehdi Moradi; Tanveer F. Syeda-Mahmood (AMIA, 2020)

Extracting and Learning Fine-grained Labels from Chest Radiographs. - Tanveer F. Syeda-Mahmood; Ken C. L. Wong; Joy T. Wu; Ashutosh Jadhav; Orest B. Boyko (AMIA, 2020)

Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. - Satyananda Kashyap; Alexandros Karargyris; Joy T. Wu; Yaniv Gur; Arjun Sharma; Ken C. L. Wong; Mehdi Moradi; Tanveer F. Syeda-Mahmood (ISBI, 2020)

A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs. - 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; et al. (ISBI, 2020)

Quality controlled segmentation to aid disease detection. - Mehdi Moradi; Ken C. L. Wong; Alexandros Karargyris; Tanveer F. Syeda-Mahmood (Computer-Aided Diagnosis, 2020)

Chest X-Ray Report Generation Through Fine-Grained Label Learning. - 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 (MICCAI (2), 2020)

Channel Scaling: A Scale-And-Select Approach For Transfer Learning. - Ken C. L. Wong; Satyananda Kashyap; Mehdi Moradi (ISBI, 2021)

Multiview and multiclass image segmentation using deep learning in fetal echocardiography. - Ken C. L. Wong; Elena S. Sinkovskaya; Alfred Z. Abuhamad; Tanveer F. Syeda-Mahmood (Computer-Aided Diagnosis, 2021)

Basis Scaling and Double Pruning for Efficient Transfer Learning. - Ken C. L. Wong; Satyananda Kashyap; Mehdi Moradi (CoRR, 2021)

Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. - Ken C. L. Wong; Hongzhi Wang 002; Etienne E. Vos; Bianca Zadrozny; Campbell D. Watson; Tanveer F. Syeda-Mahmood (CoRR, 2021)

NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration. - Ademir Ferreira da Silva; Juan Nathaniel; Ken C. L. Wong; Campbell D. Watson; Hongzhi Wang 002; Jitendra Singh; Alexandre Alkmim Chamon; Levente J. Klein (IEEE Big Data, 2022)

3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. - Ken C. L. Wong; Mehdi Moradi (MLMI@MICCAI, 2022)

Comparison of Biome-Specific AI Models to Estimate Biomass. - Ademir Ferreira da Silva; Maciel Zortea; Alexandre Alkmim Chamon; Levente J. Klein; Ken C. L. Wong; Hongzhi Wang 002; Jitendra Singh (IGARSS, 2023)

Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. - Ken C. L. Wong; Levente J. Klein; Ademir Ferreira da Silva; Hongzhi Wang 002; Jitendra Singh; Tanveer F. Syeda-Mahmood (IGARSS, 2023)

FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. - Ken C. L. Wong; Hongzhi Wang 002; Tanveer F. Syeda-Mahmood (ISBI, 2023)

HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. - Ken C. L. Wong; Hongzhi Wang 002; Tanveer F. Syeda-Mahmood (MICCAI (4), 2023)

Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports. - Razi Mahmood; Ken C. L. Wong; Diego Machado Reyes; Niharika D'Souza; Luyao Shi; Joy T. Wu; Parisa Kaviani; Mannudeep K. Kalra; Ge Wang 001; Pingkun Yan; Pingkun Syeda-Mahmood (CoRR, 2024)

Basis scaling and double pruning for efficient inference in network-based transfer learning. - Ken C. L. Wong; Satyananda Kashyap; Mehdi Moradi (Pattern Recognit. Lett., 2024)

Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations. - Satyananda Kashyap; Niharika S. D'Souza; Luyao Shi; Ken C. L. Wong; Hongzhi Wang 002; Tanveer F. Syeda-Mahmood (UniReps, 2025)

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation. - Ken C. L. Wong; Hongzhi Wang 002; Tanveer F. Syeda-Mahmood (CoRR, 2025)