James S. Duncan

发表

Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening

Juntang Zhuang, Nicha C. Dvornek, Qingyu Zhao, 2018, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results

Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, 2020, Medical Image Anal..

Bidirectional Segmentation of Three-Dimensional Cardiac MR Images Using a Subject-Specific Dynamical Model

James S. Duncan, Yun Zhu, Xenophon Papademetris, 2008, MICCAI.

Decision forests for learning prostate cancer probability maps from multiparametric MRI

James S. Duncan, Henry R. Ehrenberg, Daniel Cornfeld, 2016, SPIE Medical Imaging.

LV STRAIN ESTIMATION FROM 4D ECHOCARDIOGRAPHY

James S. Duncan, Albert J. Sinusas, Ping Yan, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Support Vector Machine Density Estimator as a Generalized Parzen Windows Estimator for Mutual Information based Image Registration

James S. Duncan, Sudhakar Chelikani, Kailasnath Purushothaman, 2003, MICCAI.

Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space

Nicha C. Dvornek, Xiaoxiao Li, James S. Duncan, 2020, DART/DCL@MICCAI.

Analysis of Left Ventricular Motion Using a General Robust Point Matching Algorithm

James S. Duncan, Xenophon Papademetris, Albert J. Sinusas, 2003, MICCAI.

Computing 3D Non-rigid Brain Registration Using Extended Robust Point Matching for Composite Multisubject fMRI Analysis

Robert T. Schultz, James S. Duncan, Lawrence H. Staib, 2003, MICCAI.

An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy

Chao Lu, Zhe Chen, James S. Duncan, 2011, Medical Image Anal..

Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation Analysis

James S. Duncan, Albert J. Sinusas, Matthew O'Donnell, 2015, FIMH.

Point-tracked quantitative analysis of left ventricular surface motion from 3-D image sequences

James S. Duncan, Pengcheng Shi, Albert J. Sinusas, 2000, IEEE Transactions on Medical Imaging.

A Novel Multiple Hypothesis Based Particle Tracking Method for Clathrin Mediated Endocytosis Analysis Using Fluorescence Microscopy

James S. Duncan, Liang Liang, Hongying Shen, 2014, IEEE Transactions on Image Processing.

Constrained non-rigid registration using Lagrange multipliers for application in prostate radiotherapy

Chao Lu, James S. Duncan, Lawrence H. Staib, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Constrained non-rigid registration for use in image-guided adaptive radiotherapy

Zhe Chen, James S. Duncan, Lawrence H. Staib, 2009, Medical Image Anal..

Simultaneous Nonrigid Registration, Segmentation, and Tumor Detection in MRI Guided Cervical Cancer Radiation Therapy

Chao Lu, James S. Duncan, Lawrence H. Staib, 2012, IEEE Transactions on Medical Imaging.

Volumetric layer segmentation using coupled surfaces propagation

Robert T. Schultz, James S. Duncan, Lawrence H. Staib, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Towards pointwise motion tracking in echocardiographic image sequences - Comparing the reliability of different features for speckle tracking

James S. Duncan, Ping Yan, Weichuan Yu, 2006, Medical Image Anal..

Modular system for image analysis using a game-theoretic framework

James S. Duncan, H. Isil Bozma, 1992, Image Vis. Comput..

Surface growing from stereo images

James S. Duncan, Hemant D. Tagare, Oskar M. Skrinjar, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Statistical Neighbor Distance Influence in Active Contours

James S. Duncan, Lawrence H. Staib, Jing Yang, 2002, MICCAI.

A New Biomechanical Model Based Approach on Brain Shift Compensation

James S. Duncan, Xenophon Papademetris, Keiji Kobashi, 2003, MICCAI.

Segmentation and Measurement of the Cortex from 3D MR Images

Robert T. Schultz, James S. Duncan, Lawrence H. Staib, 1998, MICCAI.

A Robust Point Matching Algorithm for Autoradiograph Alignment

James S. Duncan, Anand Rangarajan, Suguna Pappu, 1996, VBC.

Neighbor-constrained segmentation with level set based 3-D deformable models

James S. Duncan, Lawrence H. Staib, Jing Yang, 2004, IEEE Transactions on Medical Imaging.

Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, 2019, MLMI@MICCAI.

A New Approach to 3D Sulcal Ribbon Finding from MR Images

Robert T. Schultz, James S. Duncan, Hemant D. Tagare, 1999, MICCAI.

A Unified Framework for Joint Segmentation, Nonrigid Registration and Tumor Detection: Application to MR-Guided Radiotherapy

Chao Lu, James S. Duncan, Sudhakar Chelikani, 2011, IPMI.

Estimation of patient-specific material properties of the mitral valve using 4D Transesophageal Echocardiography

Dorin Comaniciu, James S. Duncan, Puneet Sharma, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Generalized robust point matching using an extended free-form deformation model: application to cardiac images

James S. Duncan, Ning Lin, J. Duncan, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory

Chao Lu, Timo Kohlberger, James S. Duncan, 2012, MICCAI.

Accurate alignment of functional EPI data to anatomical MRI using a physics-based distortion model

Colin Studholme, James S. Duncan, R. Todd Constable, 2000, IEEE Transactions on Medical Imaging.

Editorial

Guido Gerig, James S. Duncan, G. Gerig, 2006, Medical Image Anal..

Entropy-Based, Multiple-Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation

Zhe Chen, James S. Duncan, Lawrence H. Staib, 1999, MICCAI.

Steps Toward a Stereo-Camera-Guided Biomechanical Model for Brain Shift Compensation

Colin Studholme, James S. Duncan, Arya Nabavi, 2001, IPMI.

Deformable boundary finding in medical images by integrating gradient and region information

James S. Duncan, Lawrence H. Staib, Amit Chakraborty, 1996, IEEE Trans. Medical Imaging.

Spatiotemporal analysis of left ventricular motion

Max A. Viergever, James S. Duncan, Bart M. ter Haar Romeny, 1995, Medical Imaging.

Estimating cardiac motion from image sequences using recursive comb filtering

James S. Duncan, Arye Nehorai, John C. McEachen, 1995, Proceedings., International Conference on Image Processing.

Comparing Shape Tracking, Speckle Tracking, and a Combined Method for Deformation Analysis in Echocardiography

James S. Duncan, Qifeng Wei, Colin B. Compas, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

CARDIAC MR IMAGE SEGMENTATION WITH INCOMPRESSIBILITY CONSTRAINT

James S. Duncan, Yun Zhu, Xenophon Papademetris, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Left Ventricle Classification Using Active Shape Model and Support Vector Machine

James S. Duncan, Nripesh Parajuli, Allen Lu, 2015, STACOM@MICCAI.

Boundary element method-based regularization for recovering of LV deformation

James S. Duncan, Ping Yan, Albert J. Sinusas, 2007, Medical Image Anal..

Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion

James S. Duncan, Albert J. Sinusas, Allen Lu, 2018, STACOM@MICCAI.

Medical Image Analysis: Progress over Two Decades and the Challenges Ahead

Nicholas Ayache, James S. Duncan, J. Duncan, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Deformable Fourier models for surface finding in 3-D images

James S. Duncan, Lawrence H. Staib, J. Duncan, 1992, Other Conferences.

3D Image Segmentation of Deformable Objects with Shape-Appearance Joint Prior Models

James S. Duncan, Jing Yang, J. Duncan, 2003, MICCAI.

Development of a research interface for image guided intervention: initial application to epilepsy neurosurgery

James S. Duncan, Lawrence H. Staib, Hitten Zaveri, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation

James S. Duncan, Christine DeLorenzo, Lawrence H. Staib, 2012, IEEE Transactions on Medical Imaging.

Segmentation of 3D deformable objects with level set based prior models

James S. Duncan, Hemant D. Tagare, Lawrence H. Staib, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Registration of Cortical Anatomical Structures via Robust 3D Point Matching

Robert T. Schultz, James S. Duncan, Anand Rangarajan, 1999, IPMI.

Tracking organ overlap for a constrained non-rigid registration algorithm

James S. Duncan, Lawrence H. Staib, Xenophon Papademetris, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Bayesian Analysis of fMRI Data with ICA Based Spatial Prior

Robert T. Schultz, James S. Duncan, Hemant D. Tagare, 2008, MICCAI.

Tracking Clathrin Coated Pits with a Multiple Hypothesis Based Method

James S. Duncan, Liang Liang, Hongying Shen, 2010, MICCAI.

Real Time 3D Brain Shift Compensation

James S. Duncan, Oskar M. Skrinjar, J. Duncan, 1999, IPMI.

A Unified Feature Registration Method for Brain Mapping

Robert T. Schultz, James S. Duncan, Anand Rangarajan, 2001, IPMI.

Automatic quantification of microtubule dynamics

David Tuck, James S. Duncan, Stathis Hadjidemetriou, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

An Expectation Maximization Based Method for Subcellular Particle Tracking Using Multi-angle TIRF Microscopy

James S. Duncan, Liang Liang, Hongying Shen, 2011, MICCAI.

Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making pdf

Nicha C. Dvornek, James S. Duncan, Junlin Yang, 2019, ArXiv.

Integrated Intensity and Point-Feature Nonrigid Registration

Robert T. Schultz, James S. Duncan, Lawrence H. Staib, 2004, MICCAI.

Estimation of 3D Geometry of Microtubules Using Multi-angle Total Internal Reflection Fluorescence Microscopy

James S. Duncan, Qian Yang, Derek Toomre, 2010, MICCAI.

3-D Reconstruction of Microtubules From Multi-Angle Total Internal Reflection Fluorescence Microscopy Using Bayesian Framework

James S. Duncan, Qian Yang, Derek Toomre, 2011, IEEE Transactions on Image Processing.

Using skew Gabor filter in source signal separation and local spectral orientation analysis

James S. Duncan, Weichuan Yu, Gerald Sommer, 2005, Image Vis. Comput..

Non-rigid registration of longitudinal brain tumor treatment MRI

James S. Duncan, Nicha Chitphakdithai, Veronica L. Chiang, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint

James S. Duncan, Yun Zhu, Xenophon Papademetris, 2010, Medical Image Anal..

Flow Network Tracking for Spatiotemporal and Periodic Point Matching: Applied to Cardiac Motion Analysis

James S. Duncan, Albert J. Sinusas, Matthew O'Donnell, 2018, Medical Image Anal..

Registration of brain resection MRI with intensity and location priors

James S. Duncan, Kenneth P. Vives, Nicha Chitphakdithai, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework

James S. Duncan, Junlin Yang, Julius Chapiro, 2018, Patch-MI@MICCAI.

Stereo-guided volumetric deformation recovery

James S. Duncan, Oskar M. Skrinjar, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty

Nicha C. Dvornek, James S. Duncan, Yufeng Gu, 2020, MICCAI.

Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods

Nikos Paragios, James S. Duncan, Nicolas Honnorat, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks

Nicha C. Dvornek, Pamela Ventola, James S. Duncan, 2017, MLMI@MICCAI.

The Use of Geometrical and Physical Models in Medical Image Analysis

James S. Duncan, 2001, BMVC.

Integrated segmentation and motion analysis of cardiac MR images using a subject-specific dynamical model

James S. Duncan, Yun Zhu, Xenophon Papademetris, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Measurement of non-rigid motion using contour shape descriptors

James S. Duncan, P. Anandan, Lawrence H. Staib, 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

3D Radio Frequency Ultrasound Cardiac Segmentation Using a Linear Predictor

James S. Duncan, Hemant D. Tagare, Albert J. Sinusas, 2010, MICCAI.

Admissibility Of Constraint Functions In Relaxation Labeling

James S. Duncan, H. Isil Bozma, H. I. Bozma, 1988, [1988 Proceedings] Second International Conference on Computer Vision.

Combining shape and speckle tracking for deformation analysis in echocardiography using radial basis functions

James S. Duncan, Albert J. Sinusas, Colin B. Compas, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Non-rigid Registration Framework That Accommodates Pathology Detection

Chao Lu, James S. Duncan, 2011, MLMI.

A Bayesian method for 3D estimation of subcellular particle features in multi-angle TIRF microscopy

James S. Duncan, Liang Liang, Hongying Shen, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography

James S. Duncan, Yun Zhu, Xenophon Papademetris, 2009, MICCAI.

2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

A combined shape tracking and speckle tracking approach for 4D deformation analysis in echocardiography

James S. Duncan, Xenophon Papademetris, Albert J. Sinusas, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Corrigendum to "Contour tracking in echocardiographic sequences via sparse representation and dictionary learning" [Med. Image Anal.18(2) (2014) 253-271]

James S. Duncan, Lawrence H. Staib, Xenophon Papademetris, 2015, Medical Image Anal..

A Unified Framework to Assess Myocardial Function from 4D Images

James S. Duncan, Pengcheng Shi, Lawrence H. Staib, 1995, CVRMed.

On multi-feature integration for deformable boundary finding

Marcel Worring, James S. Duncan, Amit Chakraborty, 1995, Proceedings of IEEE International Conference on Computer Vision.

3D Cardiac Deformation from Ultrasound Images

James S. Duncan, Xenophon Papademetris, Albert J. Sinusas, 1999, MICCAI.

Active Contours with Group Similarity

James S. Duncan, Xiaowei Zhou, Weichuan Yu, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

"Model-based strategies for biomedical image analysis"

James S. Duncan, 2008, BIBE.

Integrated Dynamic Shape Tracking and RF Speckle Tracking for Cardiac Motion Analysis

James S. Duncan, Albert J. Sinusas, Matthew O'Donnell, 2016, MICCAI.

A Complete Object Recognition System as a Computer Vision Course Project

James S. Duncan, Gene Gindi, 1987, IEEE Transactions on Education.

Segmentation of 3D RF Echocardiography Using a Multiframe Spatio-temporal Predictor

James S. Duncan, Hemant D. Tagare, Albert J. Sinusas, 2011, IPMI.

An algorithm for simultaneous image segmentation and nonrigid registration, with clinical application in image guided radiotherapy

Chao Lu, James S. Duncan, Jingjing Zhu, 2011, 2011 18th IEEE International Conference on Image Processing.

A Dynamical Appearance Model Based on Multiscale Sparse Representation: Segmentation of the Left Ventricle from 4D Echocardiography

James S. Duncan, Xenophon Papademetris, Albert J. Sinusas, 2012, MICCAI.

A model-based integrated approach to track myocardial deformation using displacement and velocity constraints

James S. Duncan, Pengcheng Shi, Albert J. Sinusas, 1995, Proceedings of IEEE International Conference on Computer Vision.

Relaxation Labeling Using Modular Operators

James S. Duncan, Werner Frei, 1983, Other Conferences.

Segmentation and 3D Reconstruction of Microtubules in Total Internal Reflection Fluorescence Microscopy (TIRFM)

James S. Duncan, Stathis Hadjidemetriou, Derek Toomre, 2005, MICCAI.

Image-Guided Intraoperative Cortical Deformation Recovery Using Game Theory: Application to Neocortical Epilepsy Surgery

James S. Duncan, Christine DeLorenzo, Lawrence H. Staib, 2010, IEEE Transactions on Medical Imaging.

Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging pdf

Yifan Wu, Xiaoxiao Li, James S. Duncan, 2018, ArXiv.

Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis

James S. Duncan, Albert J. Sinusas, Matthew O'Donnell, 2017, MICCAI.

Analysis of cardiac motion with recursive comb filtering

James S. Duncan, Arye Nehorai, John C. McEachen, 1994, Optics & Photonics.

Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging pdf

Nicha C. Dvornek, Pamela Ventola, James S. Duncan, 2018, ArXiv.

From the Editors

Nicholas Ayache, James S. Duncan, 1996, Medical Image Anal..

A probabilistic approach for interpretable deep learning in liver cancer diagnosis

James S. Duncan, Clinton J. Wang, Charlie A. Hamm, 2019, Medical Imaging.

Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging

James S. Duncan, Albert J. Sinusas, Geng-Shi Jeng, 2018, IEEE Access.

Rigid point feature registration using mutual information

James S. Duncan, Anand Rangarajan, Haili Chui, 1999, Medical Image Anal..

Segmentation of 3D RF echocardiography using a joint spatio-temporal predictor and signal intensity model

James S. Duncan, Hemant D. Tagare, Albert J. Sinusas, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Unsupervised motion tracking of left ventricle in echocardiography

James S. Duncan, Albert J. Sinusas, Shawn S. Ahn, 2020, Medical Imaging.

Myocardial motion and function assessment using 4D images

James S. Duncan, Pengcheng Shi, Glynn P. Robinson, 1994, Other Conferences.

A REALISTIC BRAIN PHANTOM FOR 3D DEFORMATION RECOVERY

James S. Duncan, Christine DeLorenzo, Xenophon Papademetris, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Efficient Aortic Valve Multilabel Segmentation Using a Spatial Transformer Network

James S. Duncan, Wei Sun, Daniel H. Pak, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Entropy-based dual-portal-to-3-DCT registration incorporating pixel correlation

Zhe Chen, James S. Duncan, Lawrence H. Staib, 2003, IEEE Transactions on Medical Imaging.

Arrangement: A Spatial Relation Comparing Part Embeddings and its Use in Medical Image Comparisons

James S. Duncan, Frans Vos, Hemant D. Tagare, 1993, IPMI.

Automatic detection of subcellular particles in fluorescence microscopy via feature clustering and bayesian analysis

James S. Duncan, Liang Liang, Hongying Shen, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

Correlation of magnetic resonance spectroscopic imaging and intracranial EEG localization of seizures. 7

James S. Duncan, Hitten Zaveri, Xenophon Papademetris, 2006, IEEE International Symposium on Biomedical Imaging.

Segmentation of 3D radio frequency echocardiography using a spatio-temporal predictor

James S. Duncan, Hemant D. Tagare, Albert J. Sinusas, 2012, Medical Image Anal..

Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation

Fan Zhang, Nicha C. Dvornek, James S. Duncan, 2019, MICCAI.

A Comprehensive System for Intraoperative 3D Brain Deformation Recovery

James S. Duncan, Christine DeLorenzo, Xenophon Papademetris, 2007, MICCAI.

Tracking myocardial deformation using phase contrast MR velocity fields: a stochastic approach

James S. Duncan, Albert J. Sinusas, R. Todd Constable, 1996, IEEE Trans. Medical Imaging.

Image processing and analysis for medical applications

Lei Zhang, James S. Duncan, Pengcheng Shi, 1994, SIGB.

Pointwise motion tracking in echocardiographic images

James S. Duncan, Ping Yan, Weichuan Yu, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Estimation of aortic valve leaflets from 3D CT images using local shape dictionaries and linear coding

Wei Sun, James S. Duncan, Qian Wang, 2016, SPIE Medical Imaging.

Noncooperative games for decentralized integration architectures in modular systems

James S. Duncan, H. Isil Bozma, 1991, Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91.

A Boundary Element-Based Approach to Analysis of LV Deformation

James S. Duncan, Ping Yan, Albert J. Sinusas, 2005, MICCAI.

Image processing and analysis at ipag

James S. Duncan, Lawrence H. Staib, J. Duncan, 2003, IEEE Transactions on Medical Imaging.

Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models

James S. Duncan, Pengcheng Shi, Xenophon Papademetris, 1999, IPMI.

Invertible Network for Classification and Biomarker Selection for ASD

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, 2019, MICCAI.

Local Shape Registration Using Boundary-Constrained Match of Skeletons

James S. Duncan, Yun Zhu, Xenophon Papademetris, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

LV SEGMENTATION FROM 3D ECHOCARDIOGRAPHY USING FUZZY FEATURES AND A MULTILEVEL FFD MODEL

James S. Duncan, Ping Yan, Albert J. Sinusas, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy

Zhe Chen, James S. Duncan, Lawrence H. Staib, 2008, MICCAI.

Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching

James S. Duncan, Albert J. Sinusas, Matthew O'Donnell, 2017, MICCAI.

An Integrated Approach for Locating Neuroanatomical Structure from MRI

James S. Duncan, Lawrence H. Staib, Amit Chakraborty, 1997, Int. J. Pattern Recognit. Artif. Intell..

Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation

James S. Duncan, Junlin Yang, Julius Chapiro, 2020, iMIMIC/MIL3iD/LABELS@MICCAI.

Game-Theoretic Integration for Image Segmentation

James S. Duncan, Amit Chakraborty, J. Duncan, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Incorporating an Image Distortion Model in Non-rigid Alignment of EPI with Conventional MRI

Colin Studholme, James S. Duncan, R. Todd Constable, 1999, IPMI.

A Multiple Hypothesis Based Method for Particle Tracking and Its Extension for Cell Segmentation

James S. Duncan, Liang Liang, Hongying Shen, 2013, IPMI.

Edge reinforcement using parametrized relaxation labeling

James S. Duncan, Thomas Birkhölzer, 1989, Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Motion tracking of the outer tips of microtubules

James S. Duncan, Stathis Hadjidemetriou, Derek Toomre, 2008, Medical Image Anal..

Shape-based tracking of naturally occurring annuli in image sequences

James S. Duncan, John C. McEachen, 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Bayesian Community Detection in the Space of Group-Level Functional Differences

James S. Duncan, Kevin A. Pelphrey, Archana Venkataraman, 2016, IEEE Transactions on Medical Imaging.

Motion Analysis of 3D Ultrasound Texture Patterns

James S. Duncan, Ping Yan, Weichuan Yu, 2003, FIMH.

Estimation of 3-D left ventricular deformation from medical images using biomechanical models

James S. Duncan, Xenophon Papademetris, Albert J. Sinusas, 2002, IEEE Transactions on Medical Imaging.

Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation pdf

James S. Duncan, Lawrence H. Staib, Zhao Liu, 2018, ArXiv.

Segmentation of left ventricle from 3D cardiac MR image sequences using a subject-specific dynamical model

James S. Duncan, Yun Zhu, Xenophon Papademetris, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

LEVEL SET BASED CLUSTERING FOR ANALYSIS OF FUNCTIONAL MRI DATA

James S. Duncan, Xenophon Papademetris, Deepti R. Bathula, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Dense nonrigid motion tracking from a sequence of velocity fields

James S. Duncan, Albert J. Sinusas, R. Todd Constable, 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Phantom-based investigation of nonrigid registration constraints in mapping fMRI to anatomical MRI

Colin Studholme, James S. Duncan, R. Todd Constable, 2000, Medical Imaging: Image Processing.

Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency pdf

James S. Duncan, S. Kevin Zhou, Bo Zhou, 2020, ArXiv.

Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder

James C. Gee, Yifan Wu, Xiaoxiao Li, 2019, MICCAI.

Segmentation of ovarian follicles using geometric properties, texture descriptions, and boundary information

James S. Duncan, Michael Johnston, Glynn P. Robinson, 1996, Medical Imaging.

Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling

James S. Duncan, Nicha Chitphakdithai, Veronica L. Chiang, 2012, STIA.

Multiframe temporal estimation of cardiac nonrigid motion

James S. Duncan, Arye Nehorai, John C. McEachen, 2000, IEEE Trans. Image Process..

Multi-frame Radial Basis Functions to Combine Shape and Speckle Tracking for Cardiac Deformation Analysis in Echocardiography

James S. Duncan, Qifeng Wei, Albert J. Sinusas, 2011, FIMH.

Contour tracking in echocardiographic sequences via sparse representation and dictionary learning

James S. Duncan, Lawrence H. Staib, Xenophon Papademetris, 2014, Medical Image Anal..

Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section

James S. Duncan, Frans Vos, Hemant D. Tagare, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

A CONSTRAINED NON-RIGID REGISTRATION ALGORITHM FOR APPLICATION IN PROSTATE RADIOTHERAPY

James S. Duncan, Xenophon Papademetris, Sudhakar Chelikani, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Corrigendum to "Constrained non-rigid registration for use in image-guided adaptive radiotherapy" [Medical Image Analysis 13 (2009) 809-817]

Zhe Chen, James S. Duncan, Lawrence H. Staib, 2010, Medical Image Anal..

Nonrigid Intraoperative Cortical Surface Tracking Using Game Theory

James S. Duncan, Christine DeLorenzo, Lawrence H. Staib, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Integrated segmentation and deformation analysis of 4-D cardiac MR images

James S. Duncan, Ping Yan, Yun Zhu, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

3D image segmentation of deformable objects with joint shape-intensity prior models using level sets

James S. Duncan, Jing Yang, J. Duncan, 2004, Medical Image Anal..

Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks

Nicha C. Dvornek, Pamela Ventola, James S. Duncan, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Toward reliable, noninvasive measurement of myocardial function from 4D images

James S. Duncan, Lawrence H. Staib, Glynn P. Robinson, 1994, Medical Imaging.

A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography

James S. Duncan, Albert J. Sinusas, John C. Stendahl, 2020, MICCAI.

Combinative Multi-scale Level Set Framework for Echocardiographic Image Segmentation

James S. Duncan, Weichuan Yu, Ning Lin, 2002, MICCAI.

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients pdf

Sekhar Tatikonda, Juntang Zhuang, Nicha C. Dvornek, 2020, NeurIPS.

Biomedical Imaging and Analysis in the Age of Big Data and Deep Learning

James S. Duncan, Michael F. Insana, Nicholas Ayache, 2020, Proc. IEEE.

Research Paper: PathMaster: Content-based Cell Image Retrieval Using Automated Feature Extraction

Perry L. Miller, James S. Duncan, Hemant D. Tagare, 2000, J. Am. Medical Informatics Assoc..

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part I

Guido Gerig, James S. Duncan, Computer-Assisted Intervention, 2005, MICCAI.

Three-dimensional cardiovascular image analysis

Alejandro F. Frangi, Daniel Rueckert, James S. Duncan, 2002, IEEE Transactions on Medical Imaging.

Pairwise registration of images with missing correspondences due to resection

James S. Duncan, Nicha Chitphakdithai, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Towards patient‐specific modeling of mitral valve repair: 3D transesophageal echocardiography‐derived parameter estimation

Dorin Comaniciu, James S. Duncan, Puneet Sharma, 2017, Medical Image Anal..

Boundary Element Method-Based Scattered Feature Interpolation Algorithm in the Analysis of LV Deformation

James S. Duncan, Ping Yan, Albert J. Sinusas, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS

Nicha C. Dvornek, Pamela Ventola, James S. Duncan, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Computational Vision at Yale

Gregory D. Hager, Drew McDermott, James S. Duncan, 1999, International Journal of Computer Vision.

Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation

James S. Duncan, Lawrence H. Staib, John Treilhard, 2017, MICCAI.

Prediction of Severity and Treatment Outcome for ASD from fMRI

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, 2018, PRIME@MICCAI.

Parameterized Feasible Boundaries in Gradient Vector Fields

Marcel Worring, Arnold W. M. Smeulders, James S. Duncan, 1996, Comput. Vis. Image Underst..

Automatic Personalization of the Mitral Valve Biomechanical Model Based on 4D Transesophageal Echocardiography

Dorin Comaniciu, James S. Duncan, Puneet Sharma, 2013, STACOM.

Segmentation of 4D Echocardiography Using Stochastic Online Dictionary Learning

James S. Duncan, Albert J. Sinusas, Ben A. Lin, 2013, MICCAI.

Neighbor-Constrained Segmentation with 3D Deformable Models

James S. Duncan, Lawrence H. Staib, Jing Yang, 2003, IPMI.

Segmentation of left ventricles from echocardiographic sequences via sparse appearance representation

James S. Duncan, Lawrence H. Staib, Albert J. Sinusas, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

Functional Brain Image Analysis Using Joint Function-Structure Priors

Robert T. Schultz, James S. Duncan, Lawrence H. Staib, 2004, MICCAI.

The Roles of Signal Processing in Medical Imaging [From the Guest Editors]

Charles A. Bouman, James S. Duncan, Richard M. Leahy, 2010 .

A robust point-matching algorithm for autoradiograph alignment

James S. Duncan, Eric Mjolsness, Anand Rangarajan, 1997, Medical Image Anal..

Graph Neural Network for Interpreting Task-fMRI Biomarkers

Yuan Zhou, Juntang Zhuang, Nicha C. Dvornek, 2019, MICCAI.

LV Segmentation Through the Analysis of Radio Frequency Ultrasonic Images

James S. Duncan, Albert J. Sinusas, Congxian Jia, 2007, IPMI.

The Active Elastic Model

James S. Duncan, Xenophon Papademetris, Albert J. Sinusas, 2001, IPMI.

3-D reconstruction and measurement of microtubules from multiple angle-total internal reflection fluorescence microscopy

James S. Duncan, Qian Yang, Derek Toomre, 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Combinative Multi-scale Level Set Framework for Echocardiographic Image Segmentation

James S. Duncan, Weichuan Yu, Ning Lin, 2002, MICCAI.

Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy

Chao Lu, Zhe Chen, James S. Duncan, 2010, MICCAI.

Non-Rigid Motion Models for Tracking the Left Ventricular Wall

James S. Duncan, P. Anandan, Amir A. Amini, 1991, IPMI.

Boundary Finding with Parametrically Deformable Models

James S. Duncan, Lawrence H. Staib, J. Duncan, 1992, IEEE Trans. Pattern Anal. Mach. Intell..

Integration of vision modules: a game-theoretic framework

James S. Duncan, H. Isil Bozma, 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Model-Based Recognition of Multiple Deformable Objects Using a Game-Theoretic Framework

James S. Duncan, H. Isil Bozma, J. Duncan, 1991, IPMI.

Deformable boundary finding influenced by region homogeneity

James S. Duncan, Lawrence H. Staib, Amit Chakraborty, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Model-driven brain shift compensation

James S. Duncan, Arya Nabavi, Oskar M. Skrinjar, 2002, Medical Image Anal..

Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery

Yuan Zhou, Juntang Zhuang, Nicha C. Dvornek, 2019, IPMI.

Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation

Juntang Zhuang, Nicha C. Dvornek, James S. Duncan, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Volumetric Deformation Analysis Using Mechanics-Based Data Fusion: Applications in Cardiac Motion Recovery

James S. Duncan, Pengcheng Shi, Albert J. Sinusas, 1999, International Journal of Computer Vision.

Very Large Scale Integration (VLSI) Approach To Feature Extraction

James S. Duncan, Werner Frei, 1983, Optics & Photonics.

Segmentation of Myocardial Volumes from Real-Time 3D Echocardiography Using an Incompressibility Constraint

James S. Duncan, Yun Zhu, Xenophon Papademetris, 2007, MICCAI.

Joint prior models of neighboring objects for 3D image segmentation

James S. Duncan, Jing Yang, J. Duncan, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Tracking the motion of the outer tips of microtubules

James S. Duncan, Stathis Hadjidemetriou, Derek Toomre, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, 2018, MICCAI.

A Semi-Supervised Joint Learning Approach to Left Ventricular Segmentation and Motion Tracking in Echocardiography

James S. Duncan, Albert J. Sinusas, Kevinminh Ta, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Model-based deformable surface finding for medical images

James S. Duncan, Lawrence H. Staib, J. Duncan, 1996, IEEE Trans. Medical Imaging.

Reinforcement of Linear Structure using Parametrized Relaxation Labeling

James S. Duncan, Thomas Birkhölzer, 1992, IEEE Trans. Pattern Anal. Mach. Intell..

Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets

Nicha C. Dvornek, Pamela Ventola, James S. Duncan, 2018, MICCAI.

Combined feature/intensity-based brain shift compensation using stereo guidance

James S. Duncan, Christine DeLorenzo, Xenophon Papademetris, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Construction of a 3D Volumetric Probabilistic Model of the Mouse Kidney from MRI

James S. Duncan, Xenophon Papademetris, Hirohito Okuda, 2004, MICCAI.

Estimation of 3D left ventricular deformation from echocardiography

James S. Duncan, Xenophon Papademetris, Albert J. Sinusas, 2001, Medical Image Anal..

Synthesis of Research: Medical Image Databases: A Content-based Retrieval Approach

James S. Duncan, Hemant D. Tagare, C. Carl Jaffe, 1997, J. Am. Medical Informatics Assoc..

A coupled segmentation and registration framework for medical image analysis using robust point matching and active shape model

Chao Lu, James S. Duncan, J. Duncan, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

3-D Translational Motion and Structure from Binocular Image Flows

James S. Duncan, Lingxiao Li, 1993, IEEE Trans. Pattern Anal. Mach. Intell..

Parametrically deformable contour models

James S. Duncan, Lawrence H. Staib, J. Duncan, 1989, Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Dictionary learning-based spatiotemporal regularization for 3D dense speckle tracking

Matthew O'Donnell, James S. Duncan, Albert J. Sinusas, 2017, Medical Imaging.

Bending and stretching models for LV wall motion analysis from curves and surfaces

James S. Duncan, Amir A. Amini, J. Duncan, 1992, Image Vis. Comput..

Segmentation of the Left Ventricle From Cardiac MR Images Using a Subject-Specific Dynamical Model

James S. Duncan, Yun Zhu, Xenophon Papademetris, 2010, IEEE Transactions on Medical Imaging.

Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography

James S. Duncan, Lawrence H. Staib, Xenophon Papademetris, 2014, IEEE Transactions on Medical Imaging.

The choice of tracking features in ultrasound-based strain imaging analysis

James S. Duncan, Weichuan Yu, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Nonrigid 3D Brain Registration Using Intensity/Feature Information

James S. Duncan, Christine DeLorenzo, Kun Wu, 2006, MICCAI.

Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, 2020, MLMI@MICCAI.

A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy

Zhe Chen, James S. Duncan, Lawrence H. Staib, 1998, MICCAI.

Multiscale Approach to Image Sequence Analysis

Max A. Viergever, Mads Nielsen, James S. Duncan, 1997, Comput. Vis. Image Underst..

Relaxation labeling using continuous label sets

James S. Duncan, Werner Frei, 1989, Pattern Recognit. Lett..

Shape-based tracking of left ventricular wall motion

James S. Duncan, John C. McEachen, J. Duncan, 1997, IEEE Transactions on Medical Imaging.

A recursive filter for phase velocity assisted shape-based tracking of cardiac non-rigid motion

James S. Duncan, Arye Nehorai, R. Todd Constable, 1995, Proceedings of IEEE International Conference on Computer Vision.

Welcome to the first issue of the new millennium

Nicholas Ayache, James S. Duncan, 2000, Medical Image Anal..

A unified non-rigid feature registration method for brain mapping

Robert T. Schultz, James S. Duncan, Anand Rangarajan, 2003, Medical Image Anal..

Parameterized Feasible Boundaries in Gradient Vector Fields

Marcel Worring, Arnold W. M. Smeulders, James S. Duncan, 1993, IPMI.

Automatic Extraction of Implanted Electrode Grids

James S. Duncan, Oskar M. Skrinjar, 1999, MICCAI.

Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation

James S. Duncan, Xenophon Papademetris, Albert J. Sinusas, 2000, MICCAI.

Decision explanation and feature importance for invertible networks

Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Medical Image Analysis

James S. Duncan, Baba C. Vemuri, B. Vemuri, 1999, IEEE Pulse.

Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation pdf

James S. Duncan, Ruihan Zhao, Lawrence Staib, 2021, ArXiv.

Shape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time Echocardiography

James S. Duncan, Albert J. Sinusas, Kevinminh Ta, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration

James S. Duncan, Julius Chapiro, Chi Liu, 2021, Medical Image Anal..

MALI: A memory efficient and reverse accurate integrator for Neural ODEs pdf

Sekhar Tatikonda, Juntang Zhuang, Nicha C. Dvornek, 2021, ICLR.

Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth

James S. Duncan, Chi Liu, Bo Zhou, 2021, MICCAI.

Momentum Centering and Asynchronous Update for Adaptive Gradient Methods pdf

Sekhar Tatikonda, Juntang Zhuang, James S. Duncan, 2021, NeurIPS.

SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation pdf

James S. Duncan, Lawrence Staib, Chenyu You, 2021, ArXiv.

Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network

James S. Duncan, Richard E. Carson, Chi Liu, 2021, MICCAI.

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

Juntang Zhuang, Nicha C. Dvornek, Pamela Ventola, 2021, Medical Image Anal..

Class-Aware Generative Adversarial Transformers for Medical Image Segmentation

Ufuk Topcu, James S. Duncan, Sandeep Chinchali, 2022, ArXiv.

Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer

James S. Duncan, Chi Liu, Bo Zhou, 2021, IEEE Transactions on Medical Imaging.

Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography

James S. Duncan, Albert J. Sinusas, Stephanie Thorn, 2021, MICCAI.

Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning

James S. Duncan, Albert J. Sinusas, Kevinminh Ta, 2021, STACOM@MICCAI.

Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation

James S. Duncan, Lawrence H. Staib, Albert J. Sinusas, 2021, IEEE Transactions on Medical Imaging.

Phase rotation in correlation coefficient filtering and multi-pass methods for 3-D speckle tracking in 4-D echocardiography

James S. Duncan, Albert J. Sinusas, Matthew O'Donnell, 2014, 2014 IEEE International Ultrasonics Symposium.

Corpus callosum morphology from magnetic resonance images in Tourette's syndrome

James S. Duncan, Bradley S. Peterson, James F. Leckman, 1994, Psychiatry Research: Neuroimaging.

Regional myocardial strain analysis via 2D speckle tracking echocardiography: validation with sonomicrometry and correlation with regional blood flow in the presence of graded coronary stenoses and dobutamine stress

James S. Duncan, Lawrence H. Staib, Albert J. Sinusas, 2020, Cardiovascular Ultrasound.

Mathematical Methods in Medical Imaging

James S. Duncan, David C. Wilson, Fred L. Bookstein, 1992 .

Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section

James S. Duncan, Hemant D. Tagare, J. Duncan, 1995, IEEE Trans. Pattern Anal. Mach. Intell..

Community Detection in the Space of Functional Abnormalities Reveals both Heightened and Reduced Brain Synchrony in Autism

James S. Duncan, Kevin A. Pelphrey, Archana Venkataraman, 2015 .

Knowledge Directed Left Ventricular Boundary Detection in Equilibrium Radionuclide Angiocardiography

James S. Duncan, J. Duncan, 1987, IEEE Transactions on Medical Imaging.

3D elasticity imaging on an open-chest dog heart

Sheng-Wen Huang, Lingyun Huang, James S. Duncan, 2009, 2009 IEEE International Ultrasonics Symposium.

Ordinary differential equations on graph networks

Juntang Zhuang, Nicha C. Dvornek, James S. Duncan, 2019 .