Admissibility Of Constraint Functions In Relaxation Labeling. - H. Isil Bozma; James S. Duncan (ICCV, 1988)

Edge reinforcement using parametrized relaxation labeling. - James S. Duncan; Thomas Birkhölzer (CVPR, 1989)

Parametrically deformable contour models. - Lawrence H. Staib; James S. Duncan (CVPR, 1989)

Relaxation labeling using continuous label sets. - James S. Duncan; Werner Frei (Pattern Recognit. Lett., 1989)

Integration of vision modules: a game-theoretic framework. - H. Isil Bozma; James S. Duncan (CVPR, 1991)

Measurement of non-rigid motion using contour shape descriptors. - James S. Duncan; R. L. Owen; Lawrence H. Staib; P. Anandan 001 (CVPR, 1991)

Non-Rigid Motion Models for Tracking the Left Ventricular Wall. - Amir A. Amini; R. L. Owen; P. Anandan 001; James S. Duncan (IPMI, 1991)

Model-Based Recognition of Multiple Deformable Objects Using a Game-Theoretic Framework. - H. Isil Bozma; James S. Duncan (IPMI, 1991)

Noncooperative games for decentralized integration architectures in modular systems. - H. Isil Bozma; James S. Duncan (IROS, 1991)

Arrangement: a spatial relation for describing and comparing part embeddings. - Hemant D. Tagare; Conrade C. Jaffe; James S. Duncan (ICPR (1), 1992)

Deformable Fourier models for surface finding in 3-D images. - Lawrence H. Staib; James S. Duncan (VBC, 1992)

Bending and stretching models for LV wall motion analysis from curves and surfaces. - Amir A. Amini; James S. Duncan (Image Vis. Comput., 1992)

Modular system for image analysis using a game-theoretic framework. - H. Isil Bozma; James S. Duncan (Image Vis. Comput., 1992)

Reinforcement of Linear Structure using Parametrized Relaxation Labeling. - James S. Duncan; Thomas Birkhölzer (IEEE Trans. Pattern Anal. Mach. Intell., 1992)

Boundary Finding with Parametrically Deformable Models. - Lawrence H. Staib; James S. Duncan (IEEE Trans. Pattern Anal. Mach. Intell., 1992)

Shape-based tracking of naturally occurring annuli in image sequences. - John C. McEachen II; James S. Duncan (CVPR, 1993)

Arrangement: A Spatial Relation Comparing Part Embeddings and its Use in Medical Image Comparisons. - Hemant D. Tagare; Frans Vos; Conrade C. Jaffe; James S. Duncan (IPMI, 1993)

Deformable boundary finding influenced by region homogeneity. - Amit Chakraborty; Lawrence H. Staib; James S. Duncan (CVPR, 1994)

Myocardial motion and function assessment using 4D images. - Pengcheng Shi; Glynn P. Robinson; James S. Duncan (VBC, 1994)

A Game-Theoretic Approach to Integration of Modules. - H. Isil Bozma; James S. Duncan (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

A Unified Framework to Assess Myocardial Function from 4D Images. - Pengcheng Shi; Glynn P. Robinson; Amit Chakraborty; Lawrence H. Staib; R. Todd Constable; Albert J. Sinusas; James S. Duncan (CVRMed, 1995)

On Multi-Feature Integration for Deformable Boundary Finding. - Amit Chakraborty; Marcel Worring; James S. Duncan (ICCV, 1995)

A Recursive Filter for Phase Velocity Assisted Shape-Based Tracking of Cardiac Non-Rigid Motion. - John C. McEachen II; François G. Meyer; R. Todd Constable; Arye Nehorai; James S. Duncan (ICCV, 1995)

A Model-Based Integrated Approach to Track Myocardial Deformation Using Displacement and Velocity Constraints. - Pengcheng Shi; Glynn P. Robinson; R. Todd Constable; Albert J. Sinusas; James S. Duncan (ICCV, 1995)

Estimating cardiac motion from image sequences using recursive comb filtering. - John C. McEachen II; Arye Nehorai; James S. Duncan (ICIP, 1995)

Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section. - Hemant D. Tagare; Frans Vos; Conrade C. Jaffe; James S. Duncan (IEEE Trans. Pattern Anal. Mach. Intell., 1995)

Dense Nonrigid Motion Tracking from a Sequence of Velocity Fields. - François G. Meyer; R. Todd Constable; Albert J. Sinusas; James S. Duncan (CVPR, 1996)

Segmentation of ovarian follicles using geometric properties, texture descriptions, and boundary information. - Glynn P. Robinson; Amit Chakraborty; Michael Johnston; M. Lynne Reuss; James S. Duncan (Image Processing, 1996)

A Robust Point Matching Algorithm for Autoradiograph Alignment. - Anand Rangarajan 001; Eric Mjolsness; Suguna Pappu; Lila Davachi; Patricia S. Goldman-Rakic; James S. Duncan (VBC, 1996)

Parameterized Feasible Boundaries in Gradient Vector Fields. - Marcel Worring; Arnold W. M. Smeulders; Lawrence H. Staib; James S. Duncan (Comput. Vis. Image Underst., 1996)

From the Editors. - Nicholas Ayache; James S. Duncan (Medical Image Anal., 1996)

Deformable boundary finding in medical images by integrating gradient and region information. - Amit Chakraborty; Lawrence H. Staib; James S. Duncan (IEEE Trans. Medical Imaging, 1996)

Tracking myocardial deformation using phase contrast MR velocity fields: a stochastic approach. - François G. Meyer; R. Todd Constable; Albert J. Sinusas; James S. Duncan (IEEE Trans. Medical Imaging, 1996)

Model-based deformable surface finding for medical images. - Lawrence H. Staib; James S. Duncan (IEEE Trans. Medical Imaging, 1996)

Multiscale Approach to Image Sequence Analysis. - Wiro J. Niessen; James S. Duncan; Mads Nielsen; Luc Florack; Bart M. ter Haar Romeny; Max A. Viergever (Comput. Vis. Image Underst., 1997)

An Integrated Approach for Locating Neuroanatomical Structure from MRI. - Lawrence H. Staib; Amit Chakraborty; James S. Duncan (Int. J. Pattern Recognit. Artif. Intell., 1997)

Synthesis of Research: Medical Image Databases: A Content-based Retrieval Approach. - Hemant D. Tagare; C. Carl Jaffe; James S. Duncan (J. Am. Medical Informatics Assoc., 1997)

A robust point-matching algorithm for autoradiograph alignment. - Anand Rangarajan 001; Haili Chui; Eric Mjolsness; Suguna Pappu; Lila Davachi; Patricia S. Goldman-Rakic; James S. Duncan (Medical Image Anal., 1997)

Shape-Based Tracking of Left Ventricular Wall Motion. - John C. McEachen II; James S. Duncan (IEEE Trans. Medical Imaging, 1997)

Volumetric Layer Segmentation Using Coupled Surfaces Propagation. - Xiaolan Zeng; Lawrence H. Staib; Robert T. Schultz; James S. Duncan (CVPR, 1998)

A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy. - Ravi Bansal; Lawrence H. Staib; Zhe Chen 012; Anand Rangarajan 001; Jonathan Knisely; Ravinder Nath; James S. Duncan (MICCAI, 1998)

Brain Shift Modeling for Use in Neurosurgery. - Oskar M. Skrinjar; Dennis D. Spencer; James S. Duncan (MICCAI, 1998)

Segmentation and Measurement of the Cortex from 3D MR Images. - Xiaolan Zeng; Lawrence H. Staib; Robert T. Schultz; James S. Duncan (MICCAI, 1998)

Registration of Cortical Anatomical Structures via Robust 3D Point Matching. - Haili Chui; James Rambo; James S. Duncan; Robert T. Schultz; Anand Rangarajan 001 (IPMI, 1999)

Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models. - Xenophon Papademetris; Pengcheng Shi; Donald P. Dione; Albert J. Sinusas; R. Todd Constable; James S. Duncan (IPMI, 1999)

Real Time 3D Brain Shift Compensation. - Oskar M. Skrinjar; James S. Duncan (IPMI, 1999)

Incorporating an Image Distortion Model in Non-rigid Alignment of EPI with Conventional MRI. - Colin Studholme; R. Todd Constable; James S. Duncan (IPMI, 1999)

Entropy-Based, Multiple-Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation. - Ravi Bansal; Lawrence H. Staib; Zhe Chen 012; Anand Rangarajan 001; Jonathan Knisely; Ravinder Nath; James S. Duncan (MICCAI, 1999)

3D Cardiac Deformation from Ultrasound Images. - Xenophon Papademetris; Albert J. Sinusas; Donald P. Dione; James S. Duncan (MICCAI, 1999)

Automatic Extraction of Implanted Electrode Grids. - Oskar M. Skrinjar; James S. Duncan (MICCAI, 1999)

A New Approach to 3D Sulcal Ribbon Finding from MR Images. - Xiaolan Zeng; Lawrence H. Staib; Robert T. Schultz; Hemant D. Tagare; Lawrence Win; James S. Duncan (MICCAI, 1999)

Computational Vision at Yale. - Peter N. Belhumeur; James S. Duncan; Gregory D. Hager; Drew V. McDermott; A. Stephen Morse; Steven W. Zucker (Int. J. Comput. Vis., 1999)

Volumetric Deformation Analysis Using Mechanics-Based Data Fusion: Applications in Cardiac Motion Recovery. - Pengcheng Shi; Albert J. Sinusas; R. Todd Constable; James S. Duncan (Int. J. Comput. Vis., 1999)

Rigid point feature registration using mutual information. - Anand Rangarajan 001; Haili Chui; James S. Duncan (Medical Image Anal., 1999)

Medical image analysis. - Baba C. Vemuri; James S. Duncan (Medical Image Anal., 1999)

Game-Theoretic Integration for Image Segmentation. - Amit Chakraborty; James S. Duncan (IEEE Trans. Pattern Anal. Mach. Intell., 1999)

Segmentation and Measurement of the Cortex from 3D MR Images Using Coupled Surfaces Propagation. - Xiaolan Zeng; Lawrence H. Staib; Robert T. Schultz; James S. Duncan (IEEE Trans. Medical Imaging, 1999)

Surface Growing from Stereo Images. - Oskar M. Skrinjar; Hemant D. Tagare; James S. Duncan (CVPR, 2000)

Estimating 3D Strain from 4D Cine-MRI and Echocardiography: In-Vivo Validation. - Xenophon Papademetris; Albert J. Sinusas; Donald P. Dione; R. Todd Constable; James S. Duncan (MICCAI, 2000)

Phantom-based investigation of nonrigid registration constraints in mapping fMRI to anatomical MRI. - Colin Studholme; R. Todd Constable; James S. Duncan (Image Processing, 2000)

Research Paper: PathMaster: Content-based Cell Image Retrieval Using Automated Feature Extraction. - Mark E. Mattie; Lawrence H. Staib; Eric Stratmann; Hemant D. Tagare; James S. Duncan; Perry L. Miller (J. Am. Medical Informatics Assoc., 2000)

Welcome to the first issue of the new millennium. - Nicholas Ayache; James S. Duncan (Medical Image Anal., 2000)

Medical Image Analysis: Progress over Two Decades and the Challenges Ahead. - James S. Duncan; Nicholas Ayache (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Multiframe temporal estimation of cardiac nonrigid motion. - John C. McEachen II; Arye Nehorai; James S. Duncan (IEEE Trans. Image Process., 2000)

Point-Tracked Quantitative Analysis of Left Ventricular Surface Motion from 3D Image Sequences. - Pengcheng Shi; Albert J. Sinusas; R. Todd Constable; Erik L. Ritman; James S. Duncan (IEEE Trans. Medical Imaging, 2000)

Accurate Alignment of Functional EPI Data to Anatomical MRI Using a Physics Based Distortion Model. - Colin Studholme; R. Todd Constable; James S. Duncan (IEEE Trans. Medical Imaging, 2000)

The Use of Geometrical and Physical Models in Medical Image Analysis. - James S. Duncan (BMVC, 2001)

A Unified Feature Registration Method for Brain Mapping. - Haili Chui; Lawrence Win; Robert T. Schultz; James S. Duncan; Anand Rangarajan 001 (IPMI, 2001)

The Active Elastic Model. - Xenophon Papademetris; E. Turan Onat; Albert J. Sinusas; Donald P. Dione; R. Todd Constable; James S. Duncan (IPMI, 2001)

Steps Toward a Stereo-Camera-Guided Biomechanical Model for Brain Shift Compensation. - Oskar M. Skrinjar; Colin Studholme; Arya Nabavi; James S. Duncan (IPMI, 2001)

Estimation of 3D left ventricular deformation from echocardiography. - Xenophon Papademetris; Albert J. Sinusas; Donald P. Dione; James S. Duncan (Medical Image Anal., 2001)

Geometrical and Physical Models for the Recovery of Quantitative Information from Medical Image Analysis. - James S. Duncan (ICPR (2), 2002)

Stereo-guided volumetric deformation recovery. - Oskar M. Skrinjar; James S. Duncan (ISBI, 2002)

Statistical Neighbor Distance Influence in Active Contours. - Jing Yang 005; Lawrence H. Staib; James S. Duncan (MICCAI (1), 2002)

Model-driven brain shift compensation. - Oskar M. Skrinjar; Arya Nabavi; James S. Duncan (Medical Image Anal., 2002)

Three-dimensional Cardiovascular Image Analysis. - Alejandro F. Frangi; Daniel Rueckert; James S. Duncan (IEEE Trans. Medical Imaging, 2002)

Estimation of 3D left ventricular deformation from medical images using biomechanical models. - Xenophon Papademetris; Albert J. Sinusas; Donald P. Dione; R. Todd Constable; James S. Duncan (IEEE Trans. Medical Imaging, 2002)

Motion Analysis of 3D Ultrasound Texture Patterns. - Weichuan Yu; Ning Lin; Ping Yan; Kailasnath Purushothaman; Albert J. Sinusas; Karl Thiele; James S. Duncan (FIMH, 2003)

Neighbor-Constrained Segmentation with 3D Deformable Models. - Jing Yang 005; Lawrence H. Staib; James S. Duncan (IPMI, 2003)

Support Vector Machine Density Estimator as a Generalized Parzen Windows Estimator for Mutual Information based Image Registration. - Sudhakar Chelikani; Kailasnath Purushothaman; James S. Duncan (MICCAI (2), 2003)

A New Biomechanical Model Based Approach on Brain Shift Compensation. - Keiji Kobashi; Xenophon Papademetris; James S. Duncan (MICCAI (1), 2003)

Analysis of Left Ventricular Motion Using a General Robust Point Matching Algorithm. - Ning Lin; Xenophon Papademetris; Albert J. Sinusas; James S. Duncan (MICCAI (1), 2003)

Computing 3D Non-rigid Brain Registration Using Extended Robust Point Matching for Composite Multisubject fMRI Analysis. - Xenophon Papademetris; Andrea P. Jackowski; Robert T. Schultz; Lawrence H. Staib; James S. Duncan (MICCAI (2), 2003)

3D Image Segmentation of Deformable Objects with Shape-Appearance Joint Prior Models. - Jing Yang 005; James S. Duncan (MICCAI (1), 2003)

A unified non-rigid feature registration method for brain mapping. - Haili Chui; Lawrence Win; Robert T. Schultz; James S. Duncan; Anand Rangarajan 001 (Medical Image Anal., 2003)

Combinative multi-scale level set framework for echocardiographic image segmentation. - Ning Lin; Weichuan Yu; James S. Duncan (Medical Image Anal., 2003)

Entropy-Based, Dual-Portal-to-3DCT Registration Incorporating Pixel Correlation. - Ravi Bansal; Lawrence H. Staib; Zhe Chen 012; Anand Rangarajan 001; Jonathan Knisely; Ravinder Nath; James S. Duncan (IEEE Trans. Medical Imaging, 2003)

Image processing and analysis at ipag. - James S. Duncan; Lawrence H. Staib (IEEE Trans. Medical Imaging, 2003)

Joint Prior Models of Neighboring Objects for 3D Image Segmentation. - Jing Yang 005; James S. Duncan (CVPR (1), 2004)

Pointwise Motion Tracking in Echocardiographic Images. - Weichuan Yu; Ping Yan; Albert J. Sinusas; Karl Thiele; James S. Duncan (CVPR (1), 2004)

Automatic Quantification of Microtubule Dynamics. - Stathis Hadjidemetriou; James S. Duncan; Derek Toomre; David Tuck (ISBI, 2004)

Generalized Robust Point Matching Using An Extended Free-Form Deformation Model: Application to Cardiac Images. - Ning Lin; James S. Duncan (ISBI, 2004)

Segmentation of 3D Deformable Objects with Level Set Based Prior Models. - Jing Yang 005; Hemant D. Tagare; Lawrence H. Staib; James S. Duncan (ISBI, 2004)

The Choice of Tracking Feature In Ultrasound-Based Strain Imaging Analysis. - Weichuan Yu; James S. Duncan (ISBI, 2004)

Construction of a 3D Volumetric Probabilistic Model of the Mouse Kidney from MRI. - Hirohito Okuda; Pavel Shkarin; Kevin L. Behar; James S. Duncan; Xenophon Papademetris (MICCAI (2), 2004)

Integrated Intensity and Point-Feature Nonrigid Registration. - Xenophon Papademetris; Andrea P. Jackowski; Robert T. Schultz; Lawrence H. Staib; James S. Duncan (MICCAI (1), 2004)

Functional Brain Image Analysis Using Joint Function-Structure Priors. - Jing Yang 005; Xenophon Papademetris; Lawrence H. Staib; Robert T. Schultz; James S. Duncan (MICCAI (2), 2004)

Editorial 2004. - Nicholas Ayache; Jim Duncan 001 (Medical Image Anal., 2004)

3D image segmentation of deformable objects with joint shape-intensity prior models using level sets. - Jing Yang 005; James S. Duncan (Medical Image Anal., 2004)

Neighbor-constrained segmentation with level set based 3-D deformable models. - Jing Yang 005; Lawrence H. Staib; James S. Duncan (IEEE Trans. Medical Imaging, 2004)

Segmentation and 3D Reconstruction of Microtubules in Total Internal Reflection Fluorescence Microscopy (TIRFM). - Stathis Hadjidemetriou; Derek Toomre; James S. Duncan (MICCAI, 2005)

A Boundary Element-Based Approach to Analysis of LV Deformation. - Ping Yan; Ning Lin; Albert J. Sinusas; James S. Duncan (MICCAI, 2005)

Using skew Gabor filter in source signal separation and local spectral orientation analysis. - Weichuan Yu; Gerald Sommer; Konstantinos Daniilidis; James S. Duncan (Image Vis. Comput., 2005)

Boundary Element Method-Based Scattered Feature Interpolation Algorithm in the Analysis of LV Deformation. - Ping Yan; Albert J. Sinusas; James S. Duncan (CVPR Workshops, 2006)

Combined feature/intensity-based brain shift compensation using stereo guidance. - Christine DeLorenzo; Xenophon Papademetris; Kenneth P. Vives; Dennis D. Spencer; James S. Duncan (ISBI, 2006)

Tracking the motion of the outer tips of microtubules. - Stathis Hadjidemetriou; Derek Toomre; James S. Duncan (ISBI, 2006)

Development of a research interface for image guided intervention: initial application to epilepsy neurosurgery. - Xenophon Papademetris; Kenneth P. Vives; Marcello DiStasio; Lawrence H. Staib; Markus Neff; Sven Flossman; Nils Frielinghaus; Hitten Zaveri; Edward J. Novotny; Hal Blumenfeld; R. Todd Constable; Hoby P. Hetherington; et al. (ISBI, 2006)

Correlation of magnetic resonance spectroscopic imaging and intracranial EEG localization of seizures. 7. - Edward Scharff; Xenophon Papademetris; Hoby P. Hetherington; J. W. Pan; Hitten Zaveri; Hal Blumenfeld; Robert B. Duckrow; Susan S. Spencer; Dennis D. Spencer; James S. Duncan; Edward J. Novotny (ISBI, 2006)

Nonrigid 3D Brain Registration Using Intensity/Feature Information. - Christine DeLorenzo; Xenophon Papademetris; Kun Wu; Kenneth P. Vives; Dennis D. Spencer; James S. Duncan (MICCAI (1), 2006)

Editorial. - James S. Duncan; Guido Gerig (Medical Image Anal., 2006)

Towards pointwise motion tracking in echocardiographic image sequences - Comparing the reliability of different features for speckle tracking. - Weichuan Yu; Ping Yan; Albert J. Sinusas; Karl Thiele; James S. Duncan (Medical Image Anal., 2006)

Local Shape Registration Using Boundary-Constrained Match of Skeletons. - Yun Zhu 001; Xenophon Papademetris; Albert J. Sinusas; James S. Duncan (CVPR, 2007)

Nonrigid Intraoperative Cortical Surface Tracking Using Game Theory. - Christine DeLorenzo; Xenophon Papademetris; Lawrence H. Staib; Kenneth P. Vives; Dennis D. Spencer; James S. Duncan (ICCV, 2007)

LV Segmentation Through the Analysis of Radio Frequency Ultrasonic Images. - Ping Yan; Congxian Jia; Albert J. Sinusas; Karl Thiele; Matthew O'Donnell; James S. Duncan (IPMI, 2007)

Level Set Based Clustering for Analysis of Functional Mri Data. - Deepti R. Bathula; Xenophon Papademetris; James S. Duncan (ISBI, 2007)

A Realistic Brain Phantom for 3d Deformation Recovery. - Christine DeLorenzo; Xenophon Papademetris; Kenneth P. Vives; Dennis D. Spencer; James S. Duncan (ISBI, 2007)

Lv Strain Estimation from 4d Echocardiography. - James S. Duncan; Ping Yan; Yun Zhu 001; Albert J. Sinusas; Congxian Jia; Matthew O'Donnell (ISBI, 2007)

A Constrained Non-Rigid Registration Algorithm for Application in Prostate Radiotherapy. - William Harvey Greene; Sudhakar Chelikani; Xenophon Papademetris; Jonathan Knisely; James S. Duncan (ISBI, 2007)

LV Segmentation from 3d Echocardiography Using Fuzzy Features and a Multilevel FFD Model. - Ping Yan; Albert J. Sinusas; James S. Duncan (ISBI, 2007)

Cardiac Mr Image Segmentation with Incompressibility Constraint. - Yun Zhu 001; Xenophon Papademetris; James S. Duncan; Albert J. Sinusas (ISBI, 2007)

A Comprehensive System for Intraoperative 3D Brain Deformation Recovery. - Christine DeLorenzo; Xenophon Papademetris; Kenneth P. Vives; Dennis D. Spencer; James S. Duncan (MICCAI (2), 2007)

Segmentation of Myocardial Volumes from Real-Time 3D Echocardiography Using an Incompressibility Constraint. - Yun Zhu 001; Xenophon Papademetris; Albert J. Sinusas; James S. Duncan (MICCAI (1), 2007)

Boundary element method-based regularization for recovering of LV deformation. - Ping Yan; Albert J. Sinusas; James S. Duncan (Medical Image Anal., 2007)

"Model-based strategies for biomedical image analysis". - James S. Duncan (BIBE, 2008)

Segmentation of left ventricle from 3D cardiac MR image sequences using a subject-specific dynamical model. - Yun Zhu 001; Xenophon Papademetris; Albert J. Sinusas; James S. Duncan (CVPR, 2008)

Integrated segmentation and motion analysis of cardiac MR images using a subject-specific dynamical model. - Yun Zhu 001; Xenophon Papademetris; Albert J. Sinusas; James S. Duncan (CVPR Workshops, 2008)

Tracking organ overlap for a constrained non-rigid registration algorithm. - William Harvey Greene; Sudhakar Chelikani; Xenophon Papademetris; Lawrence H. Staib; Jonathan Knisely; James S. Duncan (ISBI, 2008)

Integrated segmentation and deformation analysis of 4-D cardiac MR images. - Yun Zhu 001; Ping Yan; Xenophon Papademetris; Albert J. Sinusas; James S. Duncan (ISBI, 2008)

Bayesian Analysis of fMRI Data with ICA Based Spatial Prior. - Deepti R. Bathula; Hemant D. Tagare; Lawrence H. Staib; Xenophon Papademetris; Robert T. Schultz; James S. Duncan (MICCAI (2), 2008)

A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy. - William Harvey Greene; Sudhakar Chelikani; Kailas Purushothaman; Zhe Chen 012; Jonathan Knisely; Lawrence H. Staib; Xenophon Papademetris; James S. Duncan (MICCAI (1), 2008)

Bidirectional Segmentation of Three-Dimensional Cardiac MR Images Using a Subject-Specific Dynamical Model. - Yun Zhu 001; Xenophon Papademetris; Albert J. Sinusas; James S. Duncan (MICCAI (2), 2008)

Motion tracking of the outer tips of microtubules. - Stathis Hadjidemetriou; Derek Toomre; James S. Duncan (Medical Image Anal., 2008)

3-D reconstruction and measurement of microtubules from multiple angle-total internal reflection fluorescence microscopy. - Qian Yang; Alexander Karpikov; Derek Toomre; James S. Duncan (CVPR Workshops, 2009)

A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography. - Yun Zhu 001; Xenophon Papademetris; Albert J. Sinusas; James S. Duncan (MICCAI (1), 2009)

Constrained non-rigid registration for use in image-guided adaptive radiotherapy. - William Harvey Greene; Sudhakar Chelikani; Kailas Purushothaman; J. P. S. Knisely; Zhe Chen 012; Xenophon Papademetris; Lawrence H. Staib; James S. Duncan (Medical Image Anal., 2009)

Constrained non-rigid registration using Lagrange multipliers for application in prostate radiotherapy. - Chao Lu 011; Sudhakar Chelikani; Xenophon Papademetris; Lawrence H. Staib; James S. Duncan (CVPR Workshops, 2010)

Pairwise registration of images with missing correspondences due to resection. - Nicha Chitphakdithai; James S. Duncan (ISBI, 2010)

Non-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain Images. - Nicha Chitphakdithai; James S. Duncan (MICCAI (1), 2010)

Tracking Clathrin Coated Pits with a Multiple Hypothesis Based Method. - Liang Liang; Hongying Shen; Pietro De Camilli; James S. Duncan (MICCAI (2), 2010)

Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy. - Chao Lu 011; Sudhakar Chelikani; Zhe Chen 012; Xenophon Papademetris; Lawrence H. Staib; James S. Duncan (MICCAI (1), 2010)

3D Radio Frequency Ultrasound Cardiac Segmentation Using a Linear Predictor. - Paul C. Pearlman; Hemant D. Tagare; Albert J. Sinusas; James S. Duncan (MICCAI (1), 2010)

Estimation of 3D Geometry of Microtubules Using Multi-angle Total Internal Reflection Fluorescence Microscopy. - Qian Yang; Alexander Karpikov; Derek Toomre; James S. Duncan (MICCAI (2), 2010)

Corrigendum to "Constrained non-rigid registration for use in image-guided adaptive radiotherapy" [Medical Image Analysis 13 (2009) 809-817]. - William Harvey Greene; Sudhakar Chelikani; Kailasnath Purushothaman; Jonathan Knisely; Zhe Chen 012; Xenophon Papademetris; Lawrence H. Staib; James S. Duncan (Medical Image Anal., 2010)

A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint. - Yun Zhu 001; Xenophon Papademetris; Albert J. Sinusas; James S. Duncan (Medical Image Anal., 2010)

Image-Guided Intraoperative Cortical Deformation Recovery Using Game Theory: Application to Neocortical Epilepsy Surgery. - Christine DeLorenzo; Xenophon Papademetris; Lawrence H. Staib; Kenneth P. Vives; Dennis D. Spencer; James S. Duncan (IEEE Trans. Medical Imaging, 2010)

Segmentation of the Left Ventricle From Cardiac MR Images Using a Subject-Specific Dynamical Model. - Yun Zhu 001; Xenophon Papademetris; Albert J. Sinusas; James S. Duncan (IEEE Trans. Medical Imaging, 2010)

Non-rigid registration of longitudinal brain tumor treatment MRI. - Nicha Chitphakdithai; Veronica L. Chiang; James S. Duncan (EMBC, 2011)

Multi-frame Radial Basis Functions to Combine Shape and Speckle Tracking for Cardiac Deformation Analysis in Echocardiography. - Colin B. Compas; Ben A. Lin; Smita Sampath; Congxian Jia; Qifeng Wei; Albert J. Sinusas; James S. Duncan (FIMH, 2011)

Comparing Shape Tracking, Speckle Tracking, and a Combined Method for Deformation Analysis in Echocardiography. - Colin B. Compas; Ben A. Lin; Smita Sampath; Lingyun Huang; Qifeng Wei; Albert J. Sinusas; James S. Duncan (HISB, 2011)

An algorithm for simultaneous image segmentation and nonrigid registration, with clinical application in image guided radiotherapy. - Chao Lu 011; Jingjing Zhu; James S. Duncan (ICIP, 2011)

A Unified Framework for Joint Segmentation, Nonrigid Registration and Tumor Detection: Application to MR-Guided Radiotherapy. - Chao Lu 011; Sudhakar Chelikani; James S. Duncan (IPMI, 2011)

Segmentation of 3D RF Echocardiography Using a Multiframe Spatio-temporal Predictor. - Paul C. Pearlman; Hemant D. Tagare; Ben A. Lin; Albert J. Sinusas; James S. Duncan (IPMI, 2011)

Registration of brain resection MRI with intensity and location priors. - Nicha Chitphakdithai; Kenneth P. Vives; James S. Duncan (ISBI, 2011)

Combining shape and speckle tracking for deformation analysis in echocardiography using radial basis functions. - Colin B. Compas; Ben A. Lin; Smita Sampath; Albert J. Sinusas; James S. Duncan (ISBI, 2011)

Curvilinear structures extraction in cluttered bioimaging data with discrete optimization methods. - Nicolas Honnorat; Régis Vaillant; James S. Duncan; Nikos Paragios (ISBI, 2011)

Segmentation of 3D RF echocardiography using a joint spatio-temporal predictor and signal intensity model. - Paul C. Pearlman; Hemant D. Tagare; Ben A. Lin; Albert J. Sinusas; James S. Duncan (ISBI, 2011)

An Expectation Maximization Based Method for Subcellular Particle Tracking Using Multi-angle TIRF Microscopy. - Liang Liang; Hongying Shen; Pietro De Camilli; Derek Toomre; James S. Duncan (MICCAI (1), 2011)

A Non-rigid Registration Framework That Accommodates Pathology Detection. - Chao Lu 011; James S. Duncan (MLMI, 2011)

An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy. - Chao Lu 011; Sudhakar Chelikani; Xenophon Papademetris; Jonathan Knisely; Michael F. Milosevic; Zhe Chen 012; David A. Jaffray; Lawrence H. Staib; James S. Duncan (Medical Image Anal., 2011)

3-D Reconstruction of Microtubules From Multi-Angle Total Internal Reflection Fluorescence Microscopy Using Bayesian Framework. - Qian Yang; Alexander Karpikov; Derek Toomre; James S. Duncan (IEEE Trans. Image Process., 2011)

A combined shape tracking and speckle tracking approach for 4D deformation analysis in echocardiography. - Colin B. Compas; Emily Y. Wong; Xiaojie Huang; Smita Sampath; Ben A. Lin; Xenophon Papademetris; Karl Thiele; Donald P. Dione; Albert J. Sinusas; Matthew O'Donnell; James S. Duncan (ISBI, 2012)

A Bayesian method for 3D estimation of subcellular particle features in multi-angle TIRF microscopy. - Liang Liang; Hongying Shen; Yingke Xu; Pietro De Camilli; Derek Toomre; James S. Duncan (ISBI, 2012)

Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling. - Nicha Chitphakdithai; Veronica L. Chiang; James S. Duncan (STIA, 2012)

A Dynamical Appearance Model Based on Multiscale Sparse Representation: Segmentation of the Left Ventricle from 4D Echocardiography. - Xiaojie Huang; Donald P. Dione; Colin B. Compas; Xenophon Papademetris; Ben A. Lin; Albert J. Sinusas; James S. Duncan (MICCAI (3), 2012)

Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory. - Chao Lu 011; Yefeng Zheng 001; Neil Birkbeck; Jingdan Zhang; Timo Kohlberger; Christian Tietjen; Thomas Boettger; James S. Duncan; Shaohua Kevin Zhou (MICCAI (2), 2012)

Segmentation of left ventricles from echocardiographic sequences via sparse appearance representation. - Xiaojie Huang; Ben A. Lin; Colin B. Compas; Albert J. Sinusas; Lawrence H. Staib; James S. Duncan (MMBIA, 2012)

Automatic detection of subcellular particles in fluorescence microscopy via feature clustering and bayesian analysis. - Liang Liang; Yingke Xu; Hongying Shen; Pietro De Camilli; Derek K. Toomre; James S. Duncan (MMBIA, 2012)

A coupled segmentation and registration framework for medical image analysis using robust point matching and active shape model. - Chao Lu 011; James S. Duncan (MMBIA, 2012)

Segmentation of 3D radio frequency echocardiography using a spatio-temporal predictor. - Paul C. Pearlman; Hemant D. Tagare; Ben A. Lin; Albert J. Sinusas; James S. Duncan (Medical Image Anal., 2012)

Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation. - Christine DeLorenzo; Xenophon Papademetris; Lawrence H. Staib; Kenneth P. Vives; Dennis D. Spencer; James S. Duncan (IEEE Trans. Medical Imaging, 2012)

Simultaneous Nonrigid Registration, Segmentation, and Tumor Detection in MRI Guided Cervical Cancer Radiation Therapy. - Chao Lu 011; Sudhakar Chelikani; David A. Jaffray; Michael F. Milosevic; Lawrence H. Staib; James S. Duncan (IEEE Trans. Medical Imaging, 2012)

Active Contours with Group Similarity. - Xiaowei Zhou 001; Xiaojie Huang; James S. Duncan; Weichuan Yu (CVPR, 2013)

A Multiple Hypothesis Based Method for Particle Tracking and Its Extension for Cell Segmentation. - Liang Liang; Hongying Shen; Panteleimon Rompolas; Valentina Greco; Pietro De Camilli; James S. Duncan (IPMI, 2013)

Estimation of patient-specific material properties of the mitral valve using 4D Transesophageal Echocardiography. - Jingjing Kanik; Tommaso Mansi; Ingmar Voigt; Puneet Sharma; Razvan Ioan Ionasec; Dorin Comaniciu; James S. Duncan (ISBI, 2013)

Segmentation of 4D Echocardiography Using Stochastic Online Dictionary Learning. - Xiaojie Huang; Donald P. Dione; Ben A. Lin; Alda Bregasi; Albert J. Sinusas; James S. Duncan (MICCAI (3), 2013)

Automatic Personalization of the Mitral Valve Biomechanical Model Based on 4D Transesophageal Echocardiography. - Jingjing Kanik; Tommaso Mansi; Ingmar Voigt; Puneet Sharma; Razvan Ioan Ionasec; Dorin Comaniciu; James S. Duncan (STACOM, 2013)

Contour tracking in echocardiographic sequences via sparse representation and dictionary learning. - Xiaojie Huang; Donald P. Dione; Colin B. Compas; Xenophon Papademetris; Ben A. Lin; Alda Bregasi; Albert J. Sinusas; Lawrence H. Staib; James S. Duncan (Medical Image Anal., 2014)

A Novel Multiple Hypothesis Based Particle Tracking Method for Clathrin Mediated Endocytosis Analysis Using Fluorescence Microscopy. - Liang Liang; Hongying Shen; Pietro De Camilli; James S. Duncan (IEEE Trans. Image Process., 2014)

Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography. - Colin B. Compas; Emily Y. Wong; Xiaojie Huang; Smita Sampath; Ben A. Lin; Prasanta Pal; Xenophon Papademetris; Karl Thiele; Donald P. Dione; Mitchel Stacy; Lawrence H. Staib; Albert J. Sinusas; et al. (IEEE Trans. Medical Imaging, 2014)

Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation Analysis. - Nripesh Parajuli; Colin B. Compas; Ben A. Lin; Smita Sampath; Matthew O'Donnell; Albert J. Sinusas; James S. Duncan (FIMH, 2015)

Left Ventricle Classification Using Active Shape Model and Support Vector Machine. - Nripesh Parajuli; Allen Lu; James S. Duncan (STACOM@MICCAI, 2015)

Corrigendum to "Contour tracking in echocardiographic sequences via sparse representation and dictionary learning" [Med. Image Anal.18(2) (2014) 253-271]. - Xiaojie Huang; Donald P. Dione; Colin B. Compas; Xenophon Papademetris; Ben A. Lin; Alda Bregasi; Albert J. Sinusas; Lawrence H. Staib; James S. Duncan (Medical Image Anal., 2015)

Correction to "Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography". - Colin B. Compas; Emily Y. Wong; Xiaojie Huang; Smita Sampath; Ben A. Lin; Prasanta Pal; Xenophon Papademetris; Karl Thiele; Donald P. Dione; Mitchel Stacy; Lawrence H. Staib; Albert J. Sinusas; et al. (IEEE Trans. Medical Imaging, 2015)

Decision forests for learning prostate cancer probability maps from multiparametric MRI. - Henry R. Ehrenberg; Daniel Cornfeld; Cayce B. Nawaf; Preston C. Sprenkle; James S. Duncan (Computer-Aided Diagnosis, 2016)

Integrated Dynamic Shape Tracking and RF Speckle Tracking for Cardiac Motion Analysis. - Nripesh Parajuli; Allen Lu; John C. Stendahl; Maria Zontak; Nabil Boutagy; Melissa Eberle; Imran Alkhalil; Matthew O'Donnell; Albert J. Sinusas; James S. Duncan (MICCAI (1), 2016)

Estimation of aortic valve leaflets from 3D CT images using local shape dictionaries and linear coding. - Liang Liang; Caitlin Martin; Qian Wang; Wei Sun; James S. Duncan (Image Processing, 2016)

Bayesian Community Detection in the Space of Group-Level Functional Differences. - Archana Venkataraman; Daniel Y.-J. Yang; Kevin A. Pelphrey; James S. Duncan (IEEE Trans. Medical Imaging, 2016)

Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks. - Nicha C. Dvornek; Pamela Ventola; Kevin A. Pelphrey; James S. Duncan (MLMI@MICCAI, 2017)

Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis. - Allen Lu; Maria Zontak; Nripesh Parajuli; John C. Stendahl; Nabil Boutagy; Melissa Eberle; Imran Alkhalil; Matthew O'Donnell; Albert J. Sinusas; James S. Duncan (MICCAI (2), 2017)

Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching. - Nripesh Parajuli; Allen Lu; John C. Stendahl; Maria Zontak; Nabil Boutagy; Imran Alkhalil; Melissa Eberle; Ben A. Lin; Matthew O'Donnell; Albert J. Sinusas; James S. Duncan (MICCAI (2), 2017)

Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation. - John Treilhard; Susanne Smolka; Lawrence H. Staib; Julius Chapiro; Ming De Lin; Georgy Shakirin; James S. Duncan (MICCAI (3), 2017)

Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation. - Fan Zhang 009; Jingjing Kanik; Tommaso Mansi; Ingmar Voigt; Puneet Sharma; Razvan Ioan Ionasec; Lakshman Subrahmanyan; Ben A. Lin; Lissa Sugeng; David D. Yuh; Dorin Comaniciu; James S. Duncan (Medical Image Anal., 2017)

Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks. - Nicha C. Dvornek; Pamela Ventola; James S. Duncan (ISBI, 2018)

2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning. - Xiaoxiao Li; Nicha C. Dvornek; Xenophon Papademetris; Juntang Zhuang; Lawrence H. Staib; Pamela Ventola; James S. Duncan (ISBI, 2018)

Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection. - Juntang Zhuang; Nicha C. Dvornek; Xiaoxiao Li; Daniel Y.-J. Yang; Pamela Ventola; James S. Duncan (ISBI, 2018)

Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion. - Omar S. Al-Kadi; Allen Lu; Albert J. Sinusas; James S. Duncan (STACOM@MICCAI, 2018)

Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets. - Nicha C. Dvornek; Daniel Y.-J. Yang; Pamela Ventola; James S. Duncan (MICCAI (3), 2018)

Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. - Xiaoxiao Li; Nicha C. Dvornek; Juntang Zhuang; Pamela Ventola; James S. Duncan (MICCAI (3), 2018)

Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework. - Fan Zhang 009; Junlin Yang; Nariman Nezami; Fabian Laage-gaupp; Julius Chapiro; Ming De Lin; James S. Duncan (Patch-MI@MICCAI, 2018)

Prediction of Severity and Treatment Outcome for ASD from fMRI. - Juntang Zhuang; Nicha C. Dvornek; Xiaoxiao Li; Pamela Ventola; James S. Duncan (PRIME@MICCAI, 2018)

Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging. - Geng-Shi Jeng; Maria Zontak; Nripesh Parajuli; Allen Lu; Kevinminh Ta; Albert J. Sinusas; James S. Duncan; Matthew O'Donnell (IEEE Access, 2018)

Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging. - Nicha C. Dvornek; Daniel Y.-J. Yang; Archana Venkataraman; Pamela Ventola; Lawrence H. Staib; Kevin A. Pelphrey; James S. Duncan (CoRR, 2018)

Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation. - Allen Lu; Nripesh Parajuli; Maria Zontak; John C. Stendahl; Kevinminh Ta; Zhao Liu; Nabil Boutagy; Geng-Shi Jeng; Imran Alkhalil; Lawrence H. Staib; Matthew O'Donnell; Albert J. Sinusas; et al. (CoRR, 2018)

Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging. - Xiaoxiao Li; Vivek K. Singh 002; Yifan Wu; Klaus J. Kirchberg; James S. Duncan; Ankur Kapoor (CoRR, 2018)

Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. - Junlin Yang; Nicha C. Dvornek; Fan Zhang 009; Juntang Zhuang; Julius Chapiro; Ming De Lin; James S. Duncan (ICCV Workshops, 2019)

Decision explanation and feature importance for invertible networks. - Juntang Zhuang; Nicha C. Dvornek; Xiaoxiao Li; Junlin Yang; James S. Duncan (ICCV Workshops, 2019)

Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. - Xiaoxiao Li; Nicha C. Dvornek; Yuan Zhou 004; Juntang Zhuang; Pamela Ventola; James S. Duncan (IPMI, 2019)

Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening. - Juntang Zhuang; Nicha C. Dvornek; Qingyu Zhao; Xiaoxiao Li; Pamela Ventola; James S. Duncan (ISBI, 2019)

A probabilistic approach for interpretable deep learning in liver cancer diagnosis. - Clinton J. Wang; Charlie A. Hamm; Brian S. Letzen; James S. Duncan (Computer-Aided Diagnosis, 2019)

Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. - Nicha C. Dvornek; Xiaoxiao Li; Juntang Zhuang; James S. Duncan (MLMI@MICCAI, 2019)

Graph Neural Network for Interpreting Task-fMRI Biomarkers. - Xiaoxiao Li; Nicha C. Dvornek; Yuan Zhou 004; Juntang Zhuang; Pamela Ventola; James S. Duncan (MICCAI (5), 2019)

Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. - Junlin Yang; Nicha C. Dvornek; Fan Zhang 009; Julius Chapiro; Ming De Lin; James S. Duncan (MICCAI (2), 2019)

Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder. - Huzheng Yang; Xiaoxiao Li; Yifan Wu; Siyi Li; Su Lu; James S. Duncan; James C. Gee; Shi Gu (MICCAI (3), 2019)

Invertible Network for Classification and Biomarker Selection for ASD. - Juntang Zhuang; Nicha C. Dvornek; Xiaoxiao Li; Pamela Ventola; James S. Duncan (MICCAI (3), 2019)

Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making. - Junlin Yang; Nicha C. Dvornek; Fan Zhang 009; Julius Chapiro; Ming De Lin; Aaron Abajian; James S. Duncan (CoRR, 2019)

Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis. - Nripesh Parajuli; Allen Lu; Kevinminh Ta; John C. Stendahl; Nabil Boutagy; Imran Alkhalil; Melissa Eberle; Geng-Shi Jeng; Maria Zontak; Matthew O'Donnell; Albert J. Sinusas; James S. Duncan (Medical Image Anal., 2019)

Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. - Juntang Zhuang; Nicha C. Dvornek; Xiaoxiao Li; Sekhar Tatikonda; Xenophon Papademetris; James S. Duncan (ICML, 2020)

Automatic Multimodal Registration via Intraprocedural Cone-Beam CT Segmentation using MRI Distance Maps. - Zachary Augenfeld; Ming De Lin; Julius Chapiro; James S. Duncan (ISBI, 2020)

Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS. - Nicha C. Dvornek; Pamela Ventola; James S. Duncan (ISBI, 2020)

Efficient Aortic Valve Multilabel Segmentation Using a Spatial Transformer Network. - Daniel H. Pak; Andrés Caballero; Wei Sun; James S. Duncan (ISBI, 2020)

A Semi-Supervised Joint Learning Approach to Left Ventricular Segmentation and Motion Tracking in Echocardiography. - Kevinminh Ta; Shawn S. Ahn; Allen Lu; John C. Stendahl; Albert J. Sinusas; James S. Duncan (ISBI, 2020)

Graph embedding using Infomax for ASD classification and brain functional difference detection. - Xiaoxiao Li; Nicha C. Dvornek; Juntang Zhuang; Pamela Ventola; James S. Duncan (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. - Nicha C. Dvornek; Xiaoxiao Li; Juntang Zhuang; Pamela Ventola; James S. Duncan (MLMI@MICCAI, 2020)

Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Yufeng Gu; Pamela Ventola; James S. Duncan (MICCAI (1), 2020)

Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Muhan Zhang; Juntang Zhuang; Pamela Ventola; James S. Duncan (MICCAI (7), 2020)

A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography. - Kevinminh Ta; Shawn S. Ahn; John C. Stendahl; Albert J. Sinusas; James S. Duncan (MICCAI (6), 2020)

Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. - Junlin Yang; Xiaoxiao Li; Daniel H. Pak; Nicha C. Dvornek; Julius Chapiro; Ming De Lin; James S. Duncan (DART/DCL@MICCAI, 2020)

Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-domain Liver Segmentation. - Chenyu You; Junlin Yang; Julius Chapiro; James S. Duncan (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. - Juntang Zhuang; Tommy Tang; Yifan Ding; Sekhar Tatikonda; Nicha C. Dvornek; Xenophon Papademetris; James S. Duncan (NeurIPS, 2020)

A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. - S. Kevin Zhou; Hayit Greenspan; Christos Davatzikos; James S. Duncan; Bram van Ginneken; Anant Madabhushi; Jerry L. Prince; Daniel Rueckert; Ronald M. Summers (CoRR, 2020)

Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency. - Bo Zhou 009; S. Kevin Zhou; James S. Duncan; Chi Liu 001 (CoRR, 2020)

Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. - Xiaoxiao Li; Yufeng Gu; Nicha C. Dvornek; Lawrence H. Staib; Pamela Ventola; James S. Duncan (Medical Image Anal., 2020)

Biomedical Imaging and Analysis in the Age of Big Data and Deep Learning. - James S. Duncan; Michael F. Insana; Nicholas Ayache (Proc. IEEE, 2020)

Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification. - Fan Zhang 009; Nicha C. Dvornek; Junlin Yang; Julius Chapiro; Jim Duncan 001 (IEEE Trans. Medical Imaging, 2020)

High-Resolution Magnetic Resonance Spectroscopic Imaging using a Multi-Encoder Attention U-Net with Structural and Adversarial Loss. - Siyuan Dong; Gilbert Hangel; Wolfgang Bogner; Siegfried Trattnig; Karl Rössler; Georg Widhalm; Henk M. De Feyter; Robin A. de Graaf; James S. Duncan (EMBC, 2021)

MALI: A memory efficient and reverse accurate integrator for Neural ODEs. - Juntang Zhuang; Nicha C. Dvornek; Sekhar Tatikonda; James S. Duncan (ICLR, 2021)

Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images. - Daniel H. Pak; Minliang Liu; Shawn S. Ahn; Andrés Caballero; John A. Onofrey; Liang Liang; Wei Sun; James S. Duncan (IPMI, 2021)

Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal Modeling. - Juntang Zhuang; Nicha C. Dvornek; Sekhar Tatikonda; Xenophon Papademetris; Pamela Ventola; James S. Duncan (IPMI, 2021)

Shape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time Echocardiography. - Kevinminh Ta; Shawn S. Ahn; John C. Stendahl; Albert J. Sinusas; James S. Duncan (ISBI, 2021)

Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography. - Shawn S. Ahn; Kevinminh Ta; Stephanie Thorn; Jonathan Langdon; Albert J. Sinusas; James S. Duncan (MICCAI (1), 2021)

Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves. - Daniel H. Pak; Minliang Liu; Theodore Kim; Liang Liang; Raymond McKay; Wei Sun; James S. Duncan (MICCAI (6), 2021)

Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth. - Bo Zhou 009; Chi Liu 001; James S. Duncan (MICCAI (1), 2021)

Synthesizing Multi-tracer PET Images for Alzheimer's Disease Patients Using a 3D Unified Anatomy-Aware Cyclic Adversarial Network. - Bo Zhou 009; Rui Wang; Ming-Kai Chen; Adam P. Mecca; Ryan S. O'Dell; Christopher H. van Dyck; Richard E. Carson; James S. Duncan; Chi Liu 001 (MICCAI (6), 2021)

Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. - Juntang Zhuang; Yifan Ding; Tommy Tang; Nicha C. Dvornek; Sekhar Tatikonda; James S. Duncan (NeurIPS, 2021)

Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning. - Kevinminh Ta; Shawn S. Ahn; John C. Stendahl; Jonathan Langdon; Albert J. Sinusas; James S. Duncan (STACOM@MICCAI, 2021)

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Muhan Zhang; Siyuan Gao; Juntang Zhuang; Dustin Scheinost; Lawrence H. Staib; Pamela Ventola; James S. Duncan (Medical Image Anal., 2021)

Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration. - Bo Zhou 009; Zachary Augenfeld; Julius Chapiro; S. Kevin Zhou; Chi Liu 001; James S. Duncan (Medical Image Anal., 2021)

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. - S. Kevin Zhou; Hayit Greenspan; Christos Davatzikos; James S. Duncan; Bram van Ginneken; Anant Madabhushi; Jerry L. Prince; Daniel Rueckert; Ronald M. Summers (Proc. IEEE, 2021)

Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation. - Allen Lu; Shawn S. Ahn; Kevinminh Ta; Nripesh Parajuli; John C. Stendahl; Zhao Liu; Nabil Boutagy; Geng-Shi Jeng; Lawrence H. Staib; Matthew O'Donnell; Albert J. Sinusas; James S. Duncan (IEEE Trans. Medical Imaging, 2021)

MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET. - Bo Zhou 009; Yu-Jung Tsai; Xiongchao Chen; James S. Duncan; Chi Liu 001 (IEEE Trans. Medical Imaging, 2021)

Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer. - Bo Zhou 009; S. Kevin Zhou; James S. Duncan; Chi Liu 001 (IEEE Trans. Medical Imaging, 2021)

Surrogate Gap Minimization Improves Sharpness-Aware Training. - Juntang Zhuang; Boqing Gong; Liangzhe Yuan; Yin Cui; Hartwig Adam; Nicha C. Dvornek; Sekhar Tatikonda; James S. Duncan; Ting Liu 005 (ICLR, 2022)

Multi-scale Super-Resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness. - Siyuan Dong; Gilbert Hangel; Wolfgang Bogner; Georg Widhalm; Karl Rössler; Siegfried Trattnig; Chenyu You; Robin A. de Graaf; John A. Onofrey; James S. Duncan (MICCAI (6), 2022)

Flow-Based Visual Quality Enhancer for Super-Resolution Magnetic Resonance Spectroscopic Imaging. - Siyuan Dong; Gilbert Hangel; Eric Z. Chen; Shanhui Sun; Wolfgang Bogner; Georg Widhalm; Chenyu You; John A. Onofrey; Robin A. de Graaf; James S. Duncan (DGM4MICCAI@MICCAI, 2022)

Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. - Chenyu You; Jinlin Xiang; Kun Su; Xiaoran Zhang; Siyuan Dong; John A. Onofrey; Lawrence H. Staib; James S. Duncan (DeCaF/FAIR@MICCAI, 2022)

Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. - Chenyu You; Ruihan Zhao 001; Lawrence H. Staib; James S. Duncan (MICCAI (4), 2022)

Class-Aware Adversarial Transformers for Medical Image Segmentation. - Chenyu You; Ruihan Zhao 001; Fenglin Liu; Siyuan Dong; Sandeep Chinchali; Ufuk Topcu; Lawrence H. Staib; James S. Duncan (NeurIPS, 2022)

Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling. - Xiaoran Zhang; Chenyu You; Shawn S. Ahn; Juntang Zhuang; Lawrence H. Staib; James S. Duncan (STACOM@MICCAI, 2022)

Class-Aware Generative Adversarial Transformers for Medical Image Segmentation. - Chenyu You; Ruihan Zhao 001; Fenglin Liu; Sandeep Chinchali; Ufuk Topcu; Lawrence H. Staib; James S. Duncan (CoRR, 2022)

Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation. - Chenyu You; Weicheng Dai; Lawrence H. Staib; James S. Duncan (CoRR, 2022)

Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels. - Chenyu You; Weicheng Dai; Fenglin Liu; Haoran Su; Xiaoran Zhang; Lawrence H. Staib; James S. Duncan (CoRR, 2022)

DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography. - Bo Zhou 009; Xiongchao Chen; S. Kevin Zhou; James S. Duncan; Chi Liu 001 (Medical Image Anal., 2022)

Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction. - Bo Zhou 009; Jo Schlemper; Neel Dey; Seyed Sadegh Mohseni Salehi; Kevin N. Sheth; Chi Liu 001; James S. Duncan; Michal Sofka (Medical Image Anal., 2022)

DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction. - Bo Zhou 009; Xiongchao Chen; Huidong Xie; S. Kevin Zhou; James S. Duncan; Chi Liu 001 (IEEE Trans. Medical Imaging, 2022)

SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. - Chenyu You; Yuan Zhou 004; Ruihan Zhao 001; Lawrence H. Staib; James S. Duncan (IEEE Trans. Medical Imaging, 2022)

Unsupervised Domain Adaptation by Cross-Prototype Contrastive Learning for Medical Image Segmentation. - Zhuotong Cai; Jingmin Xin; Siyuan Dong; Chenyu You; Peiwen Shi; Tianyi Zeng; Jiazhen Zhang; John A. Onofrey; Nanning Zheng 001; James S. Duncan (BIBM, 2023)

Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-Aware Contrastive Distillation. - Chenyu You; Weicheng Dai; Yifei Min; Lawrence H. Staib; James S. Duncan (IPMI, 2023)

Fast-MC-PET: A Novel Deep Learning-Aided Motion Correction and Reconstruction Framework for Accelerated PET. - Bo Zhou 009; Yu-Jung Tsai; Jiazhen Zhang; Xueqi Guo; Huidong Xie; Xiongchao Chen; Tianshun Miao; Yihuan Lu; James S. Duncan; Chi Liu 001 (IPMI, 2023)

Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. - Bo Zhou 009; Yingda Xia; Jiawen Yao; Le Lu 001; Jingren Zhou 001; Chi Liu 001; James S. Duncan; Ling Zhang 002 (IPMI, 2023)

Rapid Brain Meninges Surface Reconstruction with Layer Topology Guarantee. - Peiyu Duan; Yuan Xue 002; Shuo Han 001; Lianrui Zuo; Aaron Carass; Caitlyn Bernhard; Savannah Hays; Peter A. Calabresi; Susan M. Resnick; James S. Duncan; Jerry L. Prince (ISBI, 2023)

Cross-Attention for Improved Motion Correction in Brain PET. - Zhuotong Cai; Tianyi Zeng; Eléonore V. Lieffrig; Jiazhen Zhang; Fuyao Chen; Takuya Toyonaga; Chenyu You; Jingmin Xin; Nanning Zheng 001; Yihuan Lu; James S. Duncan; John A. Onofrey (MLCN@MICCAI, 2023)

Copy Number Variation Informs fMRI-Based Prediction of Autism Spectrum Disorder. - Nicha C. Dvornek; Catherine Sullivan; James S. Duncan; Abha R. Gupta (MLCN@MICCAI, 2023)

MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation. - Kun Han; Yifeng Xiong; Chenyu You; Pooya Khosravi; Shanlin Sun; Xiangyi Yan; James S. Duncan; Xiaohui Xie (MICCAI (1), 2023)

Learning Sequential Information in Task-Based fMRI for Synthetic Data Augmentation. - Jiyao Wang; Nicha C. Dvornek; Lawrence H. Staib; James S. Duncan (MLCN@MICCAI, 2023)

Localized Region Contrast for Enhancing Self-supervised Learning in Medical Image Segmentation. - Xiangyi Yan; Junayed Naushad; Chenyu You; Hao Tang 010; Shanlin Sun; Kun Han; Haoyu Ma; James S. Duncan; Xiaohui Xie (MICCAI (2), 2023)

Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. - Chenyu You; Weicheng Dai; Yifei Min; Lawrence H. Staib; James S. Duncan (MICCAI (3), 2023)

ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. - Chenyu You; Weicheng Dai; Yifei Min; Lawrence H. Staib; Jasjeet S. Sekhon; James S. Duncan (MICCAI (4), 2023)

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. - Chenyu You; Weicheng Dai; Yifei Min; Fenglin Liu; David A. Clifton; S. Kevin Zhou; Lawrence H. Staib; James S. Duncan (NeurIPS, 2023)

DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. - Bo Zhou 009; Neel Dey; Jo Schlemper; Seyed Sadegh Mohseni Salehi; Chi Liu 001; James S. Duncan; Michal Sofka (WACV, 2023)

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. - Chenyu You; Weicheng Dai; Yifei Min; Fenglin Liu; Xiaoran Zhang; Chen Feng; David A. Clifton; S. Kevin Zhou; Lawrence Hamilton Staib; James S. Duncan (CoRR, 2023)

FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising. - Bo Zhou 009; Huidong Xie; Qiong Liu; Xiongchao Chen; Xueqi Guo; Zhicheng Feng; S. Kevin Zhou; Biao Li; Axel Rominger; Kuangyu Shi; James S. Duncan; Chi Liu 001 (CoRR, 2023)

Preserved Edge Convolutional Neural Network for Sensitivity Enhancement of Deuterium Metabolic Imaging (DMI). - Siyuan Dong; Henk M. De Feyter; Monique A. Thomas; Robin A. de Graaf; James S. Duncan (CoRR, 2023)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. - Karim Lekadir; Aasa Feragen; Abdul Joseph Fofanah; Alejandro F. Frangi; Alena Buyx; Anais Emelie; Andrea Lara; Antonio R. Porras; An-Wen Chan; Arcadi Navarro; Ben Glocker; Benard Ohene Botwe; et al. (CoRR, 2023)

Heteroscedastic Uncertainty Estimation for Probabilistic Unsupervised Registration of Noisy Medical Images. - Xiaoran Zhang; Daniel H. Pak; Shawn S. Ahn; Xiaoxiao Li; Chenyu You; Lawrence H. Staib; Albert J. Sinusas; Alexandra L. N. Wong; James S. Duncan (CoRR, 2023)

An Adaptive Correspondence Scoring Framework for Unsupervised Image Registration of Medical Images. - Xiaoran Zhang; John C. Stendahl; Lawrence H. Staib; Albert J. Sinusas; Alexandra L. N. Wong; James S. Duncan (CoRR, 2023)

Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography. - Shawn S. Ahn; Kevinminh Ta; Stephanie Thorn; John A. Onofrey; Inga H. Melvinsdottir; Supum Lee; Jonathan Langdon; Albert J. Sinusas; James S. Duncan (Medical Image Anal., 2023)

Deep Learning for Breast MRI Style Transfer with Limited Training Data. - Shixing Cao; Nicholas Konz; James S. Duncan; Maciej A. Mazurowski (J. Digit. Imaging, 2023)

DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. - Xiongchao Chen; Bo Zhou 009; Huidong Xie; Xueqi Guo; Jiazhen Zhang; James S. Duncan; Edward J. Miller; Albert J. Sinusas; John A. Onofrey; Chi Liu 001 (Medical Image Anal., 2023)

FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising. - Bo Zhou 009; Huidong Xie; Qiong Liu; Xiongchao Chen; Xueqi Guo; Zhicheng Feng; Jun Hou; S. Kevin Zhou; Biao Li; Axel Rominger; Kuangyu Shi; James S. Duncan; et al. (Medical Image Anal., 2023)

Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. - Chenyu You; Yifei Min; Weicheng Dai; Jasjeet S. Sekhon; Lawrence H. Staib; James S. Duncan (CVPR, 2024)

Adaptive Correspondence Scoring for Unsupervised Medical Image Registration. - Xiaoran Zhang; John C. Stendahl; Lawrence H. Staib; Albert J. Sinusas; Alex Wong 001; James S. Duncan (ECCV (38), 2024)

Symmetric Consistency with Cross-Domain Mixup for Cross-Modality Cardiac Segmentation. - Zhuotong Cai; Jingmin Xin; Siyuan Dong; John A. Onofrey; Nanning Zheng 001; James S. Duncan (ICASSP, 2024)

Spectral Brain Graph Neural Network for Prediction of Anxiety in Children with Autism Spectrum Disorder. - Peiyu Duan; Nicha C. Dvornek; Jiyao Wang; Jeffrey Eilbott; Yuexi Du; Denis G. Sukhodolsky; James S. Duncan (ISBI, 2024)

Class-Aware Mutual Mixup with Triple Alignments for Semi-supervised Cross-Domain Segmentation. - Zhuotong Cai; Jingmin Xin; Tianyi Zeng; Siyuan Dong; Nanning Zheng 001; James S. Duncan (MICCAI (8), 2024)

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration. - Xiaoran Zhang; Daniel H. Pak; Shawn S. Ahn; Xiaoxiao Li; Chenyu You; Lawrence H. Staib; Albert J. Sinusas; Alexandra L. N. Wong; James S. Duncan (MICCAI (2), 2024)

PDM: A Plug-and-Play Perturbed Multi-path Diffusion Module for Simultaneous Medical Image Segmentation Improvement and Uncertainty Estimation. - Bo Zhou 009; Tianqi Chen; Jun Hou; Yinchi Zhou; Huidong Xie; Chi Liu 001; James S. Duncan (MLMI@MICCAI (1), 2024)

Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week. - Junlin Yang; John Anderson Garcia Henao; Nicha C. Dvornek; Jianchun He; Danielle V. Bower; Arno Depotter; Herkus Bajercius; Aurélie Pahud de Mortanges; Chenyu You; Christopher Gange; Roberta Eufrasia Ledda; Mario Silva; et al. (Comput. Medical Imaging Graph., 2024)

Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT. - Xiongchao Chen; Bo Zhou 009; Xueqi Guo; Huidong Xie; Qiong Liu; James S. Duncan; Albert J. Sinusas; Chi Liu 001 (CoRR, 2024)

POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation. - Bo Zhou 009; Jun Hou; Tianqi Chen; Yinchi Zhou; Xiongchao Chen; Huidong Xie; Qiong Liu; Xueqi Guo; Yu-Jung Tsai; Vladimir Y. Panin; Takuya Toyonaga; James S. Duncan; et al. (CoRR, 2024)

Robust automated calcification meshing for biomechanical cardiac digital twins. - Daniel H. Pak; Minliang Liu; Theodore Kim; Caglar Ozturk; Raymond McKay; Ellen T. Roche; Rudolph L. Gleason; James S. Duncan (CoRR, 2024)

2.5D Multi-view Averaging Diffusion Model for 3D Medical Image Translation: Application to Low-count PET Reconstruction with CT-less Attenuation Correction. - Tianqi Chen; Jun Hou; Yinchi Zhou; Huidong Xie; Xiongchao Chen; Qiong Liu; Xueqi Guo; Menghua Xia; James S. Duncan; Chi Liu 001; Bo Zhou 009 (CoRR, 2024)

STNAGNN: Spatiotemporal Node Attention Graph Neural Network for Task-based fMRI Analysis. - Jiyao Wang; Nicha C. Dvornek; Peiyu Duan; Lawrence H. Staib; Pamela Ventola; James S. Duncan (CoRR, 2024)

AI-powered multimodal modeling of personalized hemodynamics in aortic stenosis. - Caglar Ozturk; Daniel H. Pak; Luca Rosalia; Debkalpa Goswami; Mary E. Robakowski; Raymond McKay; Christopher T. Nguyen; James S. Duncan; Ellen T. Roche (CoRR, 2024)

Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke. - Jakob Sommer; Fiona Dierksen; Tal Zeevi; Anh Tuan Tran; Emily W. Avery; Adrian Mak; Ajay Malhotra; Charles C. Matouk; Guido J. Falcone; Victor Torres-Lopez; Sanjey Aneja; James Duncan 001; et al. (Frontiers Artif. Intell., 2024)

Medical image registration via neural fields. - Shanlin Sun; Kun Han; Chenyu You; Hao Tang 010; Deying Kong; Junayed Naushad; Xiangyi Yan; Haoyu Ma; Pooya Khosravi; James S. Duncan; Xiaohui Xie (Medical Image Anal., 2024)

Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation. - Yinchi Zhou; Tianqi Chen; Jun Hou; Huidong Xie; Nicha C. Dvornek; S. Kevin Zhou; David L. Wilson; James S. Duncan; Chi Liu 001; Bo Zhou 009 (Medical Image Anal., 2024)

Robust automated calcification meshing for personalized cardiovascular biomechanics. - Daniel H. Pak; Minliang Liu; Theodore Kim; Caglar Ozturk; Raymond McKay; Ellen T. Roche; Rudolph L. Gleason; James S. Duncan (npj Digit. Medicine, 2024)

Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning. - Daniel H. Pak; Minliang Liu; Theodore Kim; Liang Liang; Andrés Caballero; John A. Onofrey; Shawn S. Ahn; Yilin Xu; Raymond McKay; Wei Sun; Rudolph L. Gleason; James S. Duncan (IEEE Trans. Medical Imaging, 2024)

Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography. - Kevinminh Ta; Shawn S. Ahn; Stephanie Thorn; John C. Stendahl; Xiaoran Zhang; Jonathan Langdon; Lawrence H. Staib; Albert J. Sinusas; James S. Duncan (IEEE Trans. Medical Imaging, 2024)

DuDoCFNet: Dual-Domain Coarse-to-Fine Progressive Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT. - Xiongchao Chen; Bo Zhou 009; Xueqi Guo; Huidong Xie; Qiong Liu; James S. Duncan; Albert J. Sinusas; Chi Liu 001 (IEEE Trans. Medical Imaging, 2024)

Coordinate-Independent 3-D Ultrasound Principal Stretch and Direction Imaging. - Geng-Shi Jeng; Po-Syun Chen; Min-Yen Hsieh; Zhao Liu; Jonathan Langdon; Shawn S. Ahn; Lawrence H. Staib; John C. Stendahl; Stephanie Thorn; Albert J. Sinusas; James S. Duncan; Matthew O'Donnell (IEEE Trans. Biomed. Eng., 2024)

Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels. - Chenyu You; Weicheng Dai; Fenglin Liu; Yifei Min; Nicha C. Dvornek; Xiaoxiao Li; David A. Clifton; Lawrence H. Staib; James S. Duncan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Using Foundation Models as Pseudo-label Generators for Pre-clinical 4D Cardiac CT Segmentation. - Anne-Marie Rickmann; Stephanie Thorn; Shawn S. Ahn; Supum Lee; Selen Uman; Taras Lysyy; Rachel Burns; Nicole Guerrera; Francis G. Spinale; Jason A. Burdick; Albert J. Sinusas; James S. Duncan (FIMH (2), 2025)

Causal Modeling of FMRI Time-Series for Interpretable Autism Spectrum Disorder Classification. - Peiyu Duan; Nicha C. Dvornek; Jiyao Wang; Lawrence H. Staib; James S. Duncan (ISBI, 2025)

Towards Zero-Shot Task-Generalizable Learning on FMRI. - Jiyao Wang; Nicha C. Dvornek; Peiyu Duan; Lawrence H. Staib; James S. Duncan (ISBI, 2025)

Style mixup enhanced disentanglement learning for unsupervised domain adaptation in medical image segmentation. - Zhuotong Cai; Jingmin Xin; Chenyu You; Peiwen Shi; Siyuan Dong; Nicha C. Dvornek; Nanning Zheng 001; James S. Duncan (Medical Image Anal., 2025)

A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging. - Siyuan Dong; Zhuotong Cai; Gilbert Hangel; Wolfgang Bogner; Georg Widhalm; Yaqing Huang; Qinghao Liang; Chenyu You; Chathura Kumaragamage; Robert K. Fulbright; Amit Mahajan; Amin Karbasi; et al. (Medical Image Anal., 2025)

The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations. - Chenyu You; Haocheng Dai; Yifei Min; Jasjeet S. Sekhon; Sarang C. Joshi; James S. Duncan (CoRR, 2025)

Progressive Test Time Energy Adaptation for Medical Image Segmentation. - Xiaoran Zhang; Byung-Woo Hong; Hyoungseob Park; Daniel H. Pak; Anne-Marie Rickmann; Lawrence H. Staib; James S. Duncan; Alex Wong 001 (CoRR, 2025)

Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation. - Xiaoran Zhang; Eric Z. Chen; Lin Zhao 004; Xiao Chen 013; Yikang Liu 001; Boris Maihe; James S. Duncan; Terrence Chen; Shanhui Sun (CoRR, 2025)

POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation. - Bo Zhou 009; Jun Hou; Tianqi Chen; Yinchi Zhou; Xiongchao Chen; Huidong Xie; Qiong Liu; Xueqi Guo; Menghua Xia; Yu-Jung Tsai; Vladimir Y. Panin; Takuya Toyonaga; et al. (IEEE Trans. Medical Imaging, 2025)

Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshing. - Daniel H. Pak; Shubh Thaker; Kyle Baylous; Xiaoran Zhang; Danny Bluestein; James S. Duncan (CoRR, 2025)

ETA: Energy-based Test-time Adaptation for Depth Completion. - Younjoon Chung; Hyoungseob Park; Patrick Rim; Xiaoran Zhang; Jihe He; Ziyao Zeng; Safa Cicek; Byung-Woo Hong; James S. Duncan; Alex Wong 001 (CoRR, 2025)