Ken C. L. Wong

97 papers A* 1B 6C 2Misc 3Journal 39Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Control Center for Data Product Optimization. CoRR Priyadarshini Tamilselvan, Gregory Bramble, Sola Shirai, Ken C. L. Wong, Md. Faisal Mahbub Chowdhury, Horst Samulowitz
2026	J	`jnl`	HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation. IEEE Trans. Medical Imaging Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2026	J	`jnl`	Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers. IEEE J. Biomed. Health Informatics Andreas S. Panayides, Hao Chen, Nenad D. Filipovic, Tijana Geroski, Junlin Hou, Karim Lekadir, Kostas Marias, George K. Matsopoulos, Giorgos Papanastasiou, Pinaki Sarder, Georgia D. Tourassi, Sotirios A. Tsaftaris, Huazhu Fu, Efthyvoulos C. Kyriacou, Christos P. Loizou, Michalis E. Zervakis, Joel H. Saltz, Farah E. Shamout, Ken C. L. Wong, Jianhua Yao, Amir A. Amini, Dimitrios I. Fotiadis, Constantinos S. Pattichis, Marios S. Pattichis
2025	—	`conf`	Agentic Control Center for Data Product Optimization. ICDM (Workshops) Priyadarshini Tamilselvan, Gregory Bramble, Sola Shirai, Ken C. L. Wong, Md. Faisal Mahbub Chowdhury, Horst Samulowitz
2025	J	`jnl`	HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation. CoRR Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2025	—	`conf`	Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations. UniReps Satyananda Kashyap, Niharika S. D'Souza, Luyao Shi, Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2025	—	`conf`	Phrase-Grounded Fact-Checking for Automatically Generated Chest X-Ray Reports. MICCAI (7) Razi Mahmood, Diego Machado Reyes, Joy T. Wu, Parisa Kaviani, Ken C. L. Wong, Niharika D'Souza, Mannudeep K. Kalra, Ge Wang, Pingkun Yan, Tanveer F. Syeda-Mahmood
2025	J	`jnl`	Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports. CoRR Razi Mahmood, Diego Machado Reyes, Joy T. Wu, Parisa Kaviani, Ken C. L. Wong, Niharika D'Souza, Mannudeep K. Kalra, Ge Wang, Pingkun Yan, Tanveer F. Syeda-Mahmood
2024	J	`jnl`	Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports. CoRR Razi Mahmood, Ken C. L. Wong, Diego Machado Reyes, Niharika D'Souza, Luyao Shi, Joy T. Wu, Parisa Kaviani, Mannudeep K. Kalra, Ge Wang, Pingkun Yan, Pingkun Syeda-Mahmood
2024	J	`jnl`	Basis scaling and double pruning for efficient inference in network-based transfer learning. Pattern Recognit. Lett. Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
2024	J	`jnl`	Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations. CoRR Satyananda Kashyap, Niharika Shimona D'Souza, Luyao Shi, Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	C	`conf`	Comparison of Biome-Specific AI Models to Estimate Biomass. IGARSS Ademir Ferreira da Silva, Maciel Zortea, Alexandre Alkmim Chamon, Levente J. Klein, Ken C. L. Wong, Hongzhi Wang, Jitendra Singh
2023	—	`conf`	FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. ISBI Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	J	`jnl`	FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. CoRR Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	J	`jnl`	HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. CoRR Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	—	`conf`	HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. MICCAI (4) Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	C	`conf`	Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. IGARSS Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer F. Syeda-Mahmood
2023	J	`jnl`	Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. CoRR Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer F. Syeda-Mahmood
2022	—	`conf`	3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. MLMI@MICCAI Ken C. L. Wong, Mehdi Moradi
2022	J	`jnl`	3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. CoRR Ken C. L. Wong, Mehdi Moradi
2022	B	`conf`	NetZeroCO2, an AI framework for accelerated nature-based carbon sequestration. IEEE Big Data Ademir Ferreira da Silva, Juan Nathaniel, Ken C. L. Wong, Campbell D. Watson, Hongzhi Wang, Jitendra Singh, Alexandre Alkmim Chamon, Levente J. Klein
2021	J	`jnl`	Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. CoRR Ken C. L. Wong, Hongzhi Wang, Etienne Eben Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood
2021	J	`jnl`	Basis Scaling and Double Pruning for Efficient Transfer Learning. CoRR Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
2021	—	`conf`	Channel Scaling: A Scale-And-Select Approach For Transfer Learning. ISBI Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
2021	J	`jnl`	Channel Scaling: A Scale-and-Select Approach for Transfer Learning. CoRR Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
2021	J	`jnl`	Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography. CoRR Ken C. L. Wong, Elena S. Sinkovskaya, Alfred Z. Abuhamad, Tanveer F. Syeda-Mahmood
2021	—	`conf`	Multiview and multiclass image segmentation using deep learning in fetal echocardiography. Computer-Aided Diagnosis Ken C. L. Wong, Elena S. Sinkovskaya, Alfred Z. Abuhamad, Tanveer F. Syeda-Mahmood
2020	—	`conf`	A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs. ISBI 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
2020	—	`conf`	Chest X-Ray Report Generation Through Fine-Grained Label Learning. MICCAI (2) 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
2020	J	`jnl`	Chest X-ray Report Generation through Fine-Grained Label Learning. CoRR 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
2020	Misc	`conf`	Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection. AMIA Ashutosh Jadhav, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	J	`jnl`	Extracting and Learning Fine-Grained Labels from Chest Radiographs. CoRR Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko
2020	Misc	`conf`	Extracting and Learning Fine-grained Labels from Chest Radiographs. AMIA Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko
2020	—	`conf`	Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. ISBI Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	J	`jnl`	Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. CoRR Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	—	`conf`	Quality controlled segmentation to aid disease detection. Computer-Aided Diagnosis Mehdi Moradi, Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. MICCAI (6) Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
2019	J	`jnl`	Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. CoRR Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
2019	B	`conf`	Body part and imaging modality classification for a general radiology cognitive assistant. Image Processing Chinyere Agunwa, Mehdi Moradi, Ken C. L. Wong, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers. ISBI Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019	J	`jnl`	Boosting the rule-out accuracy of deep disease detection using class weight modifiers. CoRR Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. ISBI 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
2019	J	`jnl`	Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. CoRR 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
2019	J	`jnl`	Identifying disease-free chest X-ray images with deep transfer learning. CoRR Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Identifying disease-free chest x-ray images with deep transfer learning. Computer-Aided Diagnosis Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
2019	—	`conf`	SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. MICCAI (3) Ken C. L. Wong, Mehdi Moradi
2019	J	`jnl`	SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. CoRR Ken C. L. Wong, Mehdi Moradi
2018	—	`conf`	3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. MICCAI (3) Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer F. Syeda-Mahmood
2018	J	`jnl`	3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. CoRR Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer Fathima Syeda-Mahmood
2018	J	`jnl`	Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. CoRR Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2018	J	`jnl`	Building medical image classifiers with very limited data using segmentation networks. CoRR Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2018	J	`jnl`	Building medical image classifiers with very limited data using segmentation networks. Medical Image Anal. Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2018	—	`conf`	Integrating Deformable Modeling with 3D Deep Neural Network Segmentation. DLMIA/ML-CDS@MICCAI Hui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang, Ahmed El Harouni, Tanveer F. Syeda-Mahmood
2017	—	`conf`	Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. MICCAI (3) Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2017	J	`jnl`	Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling. IEEE Trans. Medical Imaging Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2016	J	`jnl`	Regional infarction identification from cardiac CT images: a computer-aided biomechanical approach. Int. J. Comput. Assist. Radiol. Surg. Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao
2015	—	`conf`	Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM. MICCAI (2) Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao
2015	—	`conf`	Myocardial strain estimation from CT: towards computer-aided diagnosis on infarction identification. Computer-Aided Diagnosis Ken C. L. Wong, Michael Tee, Marcus Chen, David A. Bluemke, Ronald M. Summers, Jianhua Yao
2015	—	`conf`	Pancreatic Tumor Growth Prediction with Multiplicative Growth and Image-Derived Motion. IPMI Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2015	J	`jnl`	Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion. Medical Image Anal. Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2014	—	`conf`	Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization. MICCAI (2) Ken C. L. Wong, Ronald M. Summers, Electron Kebebew, Jianhua Yao
2013	J	`jnl`	Transmural Imaging of Ventricular Action Potentials and Post-Infarction Scars in Swine Hearts. IEEE Trans. Medical Imaging Linwei Wang, Fady Dawoud, Sai Kit Yeung, Pengcheng Shi, Ken C. L. Wong, Huafeng Liu, Albert C. Lardo
2013	—	`conf`	Velocity-Based Cardiac Contractility Personalization with Derivative-Free Optimization. STACOM Ken C. L. Wong, Maxime Sermesant, Jatin Relan, Kawal S. Rhode, Matthew Ginks, C. Aldo Rinaldi, Reza Razavi, Hervé Delingette, Nicholas Ayache
2012	—	`conf`	Integration of different cardiac electrophysiological models into a single simulation pipeline. ISBI 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
2012	J	`jnl`	Personalization of Cardiac Motion and Contractility From Images Using Variational Data Assimilation. IEEE Trans. Biomed. Eng. Herve Delingette, Florence Billet, Ken C. L. Wong, Maxime Sermesant, Kawal S. Rhode, Matthew Ginks, C. Aldo Rinaldi, Reza Razavi, Nicholas Ayache
2012	—	`conf`	Strain-Based Regional Nonlinear Cardiac Material Properties Estimation from Medical Images. MICCAI (1) Ken C. L. Wong, Jatin Relan, Linwei Wang, Maxime Sermesant, Hervé Delingette, Nicholas Ayache, Pengcheng Shi
2012	—	`conf`	Towards integrated noninvasive personalization of cardiac electromechanics. ISBI Hongda Mao, Linwei Wang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2011	—	`conf`	A Comparative Study of Physiological Models on Cardiac Deformation Recovery: Effects of Biomechanical Constraints. MICCAI (1) Ken C. L. Wong, Linwei Wang, Huafeng Liu, Pengcheng Shi
2011	J	`jnl`	Noninvasive Computational Imaging of Cardiac Electrophysiology for 3-D Infarct. IEEE Trans. Biomed. Eng. Linwei Wang, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi
2011	J	`jnl`	Physiological Fusion of Functional and Structural Images for Cardiac Deformation Recovery. IEEE Trans. Medical Imaging Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
2011	—	`conf`	Transmural Electrophysiologic and Scar Imaging on Porcine Heart with Chronic Infarction. STACOM Linwei Wang, Fady Dawoud, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Albert C. Lardo, Pengcheng Shi
2011	—	`conf`	Volumetric Modeling Electromechanics of the Heart. STACOM Hongda Mao, Linwei Wang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2010	—	`conf`	A Statistical Physiological-Model-Constrained Framework for Computational Imaging of Subject-Specific Volumetric Cardiac Electrophysiology Using Optical Imaging and MRI Data. STACOM/CESC Linwei Wang, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi
2010	—	`conf`	Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis. STACOM/CESC Ken C. L. Wong, Florence Billet, Tommaso Mansi, Radomír Chabiniok, Maxime Sermesant, Hervé Delingette, Nicholas Ayache
2010	B	`conf`	Computational complexity reduction via mode superposition: Application to biomechanics-based nonlinear cardiac deformation recovery. ICIP Ken C. L. Wong, Linwei Wang, Heye Zhang, Pengcheng Shi
2010	—	`conf`	How Much Geometrical Detail Do We Need in Cardiac Electrophysiological Imaging? A Generic Heart-Torso Representation for Fast Subject-Specific Customization. STACOM/CESC Linwei Wang, Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi
2010	J	`jnl`	Meshfree implementation of individualized active cardiac dynamics. Comput. Medical Imaging Graph. Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
2010	—	`conf`	Physiological Fusion of Functional and Structural Data for Cardiac Deformation Recovery. MICCAI (1) Ken C. L. Wong, Linwei Wang, Heye Zhang, Pengcheng Shi
2010	J	`jnl`	Physiological-Model-Constrained Noninvasive Reconstruction of Volumetric Myocardial Transmembrane Potentials. IEEE Trans. Biomed. Eng. Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2009	Misc	`conf`	A reduced-rank square root filtering framework for noninvasive functional imaging of volumetric cardiac electrical activity. ICASSP Linwei Wang, Heye Zhang, Ken C. L. Wong, Pengcheng Shi
2009	—	`conf`	Active Model with Orthotropic Hyperelastic Material for Cardiac Image Analysis. FIMH Ken C. L. Wong, Linwei Wang, Pengcheng Shi
2009	J	`jnl`	Computational Complexity Reduction for Volumetric Cardiac Deformation Recovery. J. Signal Process. Syst. Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
2009	—	`conf`	Electrocardiographic Simulation on Coupled Meshfree-BEM Platform. FIMH Linwei Wang, Ken C. L. Wong, Heye Zhang, Pengcheng Shi
2009	J	`jnl`	Electrocardiographic simulation on personalised heart-torso structures using coupled meshfree-BEM platform. Int. J. Funct. Informatics Pers. Medicine Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2009	—	`conf`	Noninvasive Imaging of Electrophysiological Substrates in Post Myocardial Infarction. MICCAI (1) Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2009	A*	`conf`	Noninvasive volumetric imaging of cardiac electrophysiology. CVPR Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2009	B	`conf`	Nonlinear cardiac deformation recovery from medical images. ICIP Ken C. L. Wong, Linwei Wang, Heye Zhang, Pengcheng Shi
2008	—	`conf`	Coupled Meshfree-BEM Platform for Electrocardiographic Simulation: Modeling and Validations. MIAR Linwei Wang, Heye Zhang, Ken C. L. Wong, Pengcheng Shi
2008	B	`conf`	Dynamic structural-image-guided noninvasive volumetric cardiac electrophysiological mapping. ICIP Linwei Wang, Ken C. L. Wong, Heye Zhang, Pengcheng Shi
2008	—	`conf`	Noninvasive Functional Imaging of Volumetric Cardiac Electrical Activity: A Human Study on Myocardial Infarction. MICCAI (1) Linwei Wang, Ken C. L. Wong, Heye Zhang, Pengcheng Shi
2008	—	`conf`	Simulation of Active Cardiac Electromechanical Dynamics. MIAR Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
2007	—	`conf`	Integrating Functional and Structural Images for Simultaneous Cardiac Segmentation and Deformation Recovery. MICCAI (1) Ken C. L. Wong, Linwei Wang, Heye Zhang, Huafeng Liu, Pengcheng Shi
2007	—	`conf`	Noninvasive Imaging of 3d Cardiac Electrophysiology. ISBI Linwei Wang, Heye Zhang, Ken C. L. Wong, Huafeng Liu, Pengcheng Shi
2006	—	`conf`	Physiome Model Based State-Space Framework for Cardiac Kinematics Recovery. MICCAI (1) Ken C. L. Wong, Heye Zhang, Huafeng Liu, Pengcheng Shi
2004	—	`conf`	Finite Deformation Guided Nonlinear Filtering for Multiframe Cardiac Motion Analysis. MICCAI (1) Ken C. L. Wong, Pengcheng Shi
2004	—	`conf`	Meshfree Cardiac Motion Analysis Using Composite Material Model and Total Lagrangian Formulation. ISBI Pengcheng Shi, Huafeng Liu, Alexandra L. N. Wong, Ken C. L. Wong, Albert J. Sinusas
2004	B	`conf`	Multiframe nonrigid motion analysis with anisotropic spatial constraints: applications to cardiac image analysis *. ICIP Ken C. L. Wong, Huafeng Liu, Albert J. Sinusas, Pengcheng Shi