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James Duncan, PhD

Ebenezer K. Hunt Professor of Radiology and Biomedical Imaging and Professor of Biomedical Engineering; Vice Chair, Bioimaging Sciences in the Department of Diagnostic Radiology; Department Chair, Biomedical Engineering

Research & Publications
Biography
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Research Summary

Dr. James Duncan works with engineering and mathematical principles and uses mainly signal/image processing techniques to derive useful image feature information and capture model-based information in concise mathematical forms. He uses nonlinear optimization methods to implement reasoning strategies. Dr. Duncan's image processing and analysis research can be divided into three general areas:

Segmentation of meaningful regions and/or objects in images. He looks at deformable model-based approaches to boundary finding and aim at locating the complete boundary of a deformable object efficiently and reproducibly. This is done by incorporating basic structural or parametric models into an optimization-based search strategy. Initially, Dr. Duncan aimed at 2D parametrized boundary finding, but now he has extended it into an approach for segmenting deformable surfaces from three-dimensional biomedical image data sets. Current applications include segmentation of the left ventricle of the heart from 4D cine Magnetic Resonance images (MRI) and segmentation of the temporal lobes of the brain from static MR images. Future research will focus on isolating structures using images obtained from laser-scanning confocal microscopes.

Image-based measurement and quantification of anatomical, physiological and/or clinically meaningful parameters. A primary example of this research is the tracking and modeling of non-rigid motion for the purpose of quantifying cardiac left ventricular (LV) regional function from 2-D and 3-D diagnostic image sequences. Such quantification permits measurements that are useful in understanding the basic relationships between the state of the heart muscle (myocardium) and overall LV function; these measurements can be important for managing patients with ischemic heart disease. Dr. Duncan's methodology makes use of mathematical models related to the motion of 3-D elastically deformable objects and is adaptable to the nonlinear, non-rigid regional motion of the LV.

Development of decentralized approaches for forming complete, integrated computer vision/image analysis systems. Dividing computer vision and image analysis systems into modular hierarchies is useful computationally and also allows to model particular image understanding tasks better. Hierarchical systems are necessary to perform such complex tasks as recognizing anatomy, quantifying the shape and motion of the heart, or performing an integrated segmentation of anatomical structures using multiple imaging modalities. He has recently developed an approach based on the mathematical concept of game theory, where functionals representing each module's tasks both compete and cooperate to make decisions about particular image analysis goals.

Specialized Terms: Computer vision; Image processing and medical imaging, with an emphasis on biomedical image analysis

Extensive Research Description

Dr. Duncan focuses on translating established or developing imaging technologies into quantitative-analysis applications. His group is entirely interdisciplinary. The projects evolve primarily from the intersection of researchers in other disciplines, who want to apply imaging technologies at the edges of the state of the art, with our abilities to push those technological limits. Some of the areas they currently work in are segmentation of deformable objects, image registration, measurement of neuroanatomical and cardiac function, strategies to track motion over time, image-guided neurosurgery and database search tools using images.

Coauthors

Research Interests

Biomedical Engineering; Diagnostic Imaging; Magnetic Resonance Imaging; Radiology; Temporal Lobe

Selected Publications

DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT ReconstructionZhou B, Chen X, Xie H, Zhou S, Duncan JS, Liu C. DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction IEEE Transactions On Medical Imaging 2022, 41: 3587-3599. PMID: 35816532, PMCID: PMC9812027, DOI: 10.1109/tmi.2022.3189759.
Flow-Based Visual Quality Enhancer for Super-Resolution Magnetic Resonance Spectroscopic ImagingDong S, Hangel G, Chen E, Sun S, Bogner W, Widhalm G, You C, Onofrey J, de Graaf R, Duncan J. Flow-Based Visual Quality Enhancer for Super-Resolution Magnetic Resonance Spectroscopic Imaging 2022, 13609: 3-13. DOI: 10.1007/978-3-031-18576-2_1.
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI SegmentationYou C, Xiang J, Su K, Zhang X, Dong S, Onofrey J, Staib L, Duncan J. Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation 2022, 13573: 3-16. DOI: 10.1007/978-3-031-18523-6_1.
Multi-scale Super-Resolution Magnetic Resonance Spectroscopic Imaging with Adjustable SharpnessDong S, Hangel G, Bogner W, Widhalm G, Rössler K, Trattnig S, You C, de Graaf R, Onofrey J, Duncan J. Multi-scale Super-Resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness 2022, 13436: 410-420. DOI: 10.1007/978-3-031-16446-0_39.
Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image SegmentationYou C, Zhao R, Staib L, Duncan J. Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation 2022, 13434: 639-652. DOI: 10.1007/978-3-031-16440-8_61.
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image SegmentationYou C, Zhou Y, Zhao R, Staib L, Duncan JS. SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation IEEE Transactions On Medical Imaging 2022, 41: 2228-2237. PMID: 35320095, DOI: 10.1109/tmi.2022.3161829.
Federated Transfer Learning for Low-Dose PET Denoising: A Pilot Study With Simulated Heterogeneous DataZhou B, Miao T, Mirian N, Chen X, Xie H, Feng Z, Guo X, Li X, Zhou S, Duncan J, Liu C. Federated Transfer Learning for Low-Dose PET Denoising: A Pilot Study With Simulated Heterogeneous Data IEEE Transactions On Radiation And Plasma Medical Sciences 2022, 7: 284-295. DOI: 10.1109/trpms.2022.3194408.
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstructionZhou B, Schlemper J, Dey N, Mohseni Salehi SS, Sheth K, Liu C, Duncan JS, Sofka M. Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction Medical Image Analysis 2022, 81: 102538. PMID: 35926336, DOI: 10.1016/j.media.2022.102538.
445 Three-dimensional High Resolution Lagrangian Strain Analysis In The Right Ventricle Using Cinect In A Porcine ModelSavarimuthu S, Midgett D, Thorn S, Ahn S, Avendano R, Melvinsdottir I, Duncan J, Papademetris X, Sinusas A. 445 Three-dimensional High Resolution Lagrangian Strain Analysis In The Right Ventricle Using Cinect In A Porcine Model Journal Of Cardiovascular Computed Tomography 2022, 16: s21. DOI: 10.1016/j.jcct.2022.06.050.
Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in OncologyJoel MZ, Umrao S, Chang E, Choi R, Yang DX, Duncan JS, Omuro A, Herbst R, Krumholz HM, Aneja S. Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology JCO Clinical Cancer Informatics 2022, 6: e2100170. PMID: 35271304, PMCID: PMC8932490, DOI: 10.1200/cci.21.00170.
CineCT platform for in vivo and ex vivo measurement of 3D high resolution Lagrangian strains in the left ventricle following myocardial infarction and intramyocardial delivery of theranostic hydrogelMidgett D, Thorn S, Ahn S, Uman S, Avendano R, Melvinsdottir I, Lysyy T, Kim J, Duncan J, Humphrey J, Papademetris X, Burdick J, Sinusas A. CineCT platform for in vivo and ex vivo measurement of 3D high resolution Lagrangian strains in the left ventricle following myocardial infarction and intramyocardial delivery of theranostic hydrogel Journal Of Molecular And Cellular Cardiology 2022, 166: 74-90. PMID: 35227737, PMCID: PMC9035115, DOI: 10.1016/j.yjmcc.2022.02.004.
Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task LearningTa K, Ahn SS, Stendahl JC, Langdon J, Sinusas AJ, Duncan JS. Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning 2022, 13131: 123-131. PMID: 35759335, PMCID: PMC9221412, DOI: 10.1007/978-3-030-93722-5_14.
Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning ApproachMalpani R, Petty CW, Yang J, Bhatt N, Zeevi T, Chockalingam V, Raju R, Petukhova-Greenstein A, Santana JG, Schlachter TR, Madoff DC, Chapiro J, Duncan J, Lin M. Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach Journal Of Vascular And Interventional Radiology 2021, 33: 324-332.e2. PMID: 34923098, PMCID: PMC8972393, DOI: 10.1016/j.jvir.2021.12.017.
High-Resolution Magnetic Resonance Spectroscopic Imaging using a Multi-Encoder Attention U-Net with Structural and Adversarial LossDong S, Hangel G, Bogner W, Trattnig S, Rössler K, Widhalm G, De Feyter HM, De Graaf RA, Duncan JS. High-Resolution Magnetic Resonance Spectroscopic Imaging using a Multi-Encoder Attention U-Net with Structural and Adversarial Loss Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2021, 00: 2891-2895. PMID: 34891851, DOI: 10.1109/embc46164.2021.9630146.
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomographyZhou B, Chen X, Zhou SK, Duncan JS, Liu C. DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography Medical Image Analysis 2021, 75: 102289. PMID: 34758443, PMCID: PMC8678361, DOI: 10.1016/j.media.2021.102289.
MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PETZhou B, Tsai YJ, Chen X, Duncan JS, Liu C. MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET IEEE Transactions On Medical Imaging 2021, 40: 3154-3164. PMID: 33909561, PMCID: PMC8588635, DOI: 10.1109/tmi.2021.3076191.
Multi-frame Attention Network for Left Ventricle Segmentation in 3D EchocardiographyAhn SS, Ta K, Thorn S, Langdon J, Sinusas AJ, Duncan JS. Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography 2021, 12901: 348-357. PMID: 34729554, PMCID: PMC8560213, DOI: 10.1007/978-3-030-87193-2_33.
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-TruthZhou B, Liu C, Duncan J. Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth 2021, 12901: 47-56. DOI: 10.1007/978-3-030-87193-2_5.
Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic ValvesPak D, Liu M, Kim T, Liang L, McKay R, Sun W, Duncan J. Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves 2021, 12906: 485-494. DOI: 10.1007/978-3-030-87231-1_47.
BrainGNN: Interpretable Brain Graph Neural Network for fMRI AnalysisLi X, Zhou Y, Dvornek N, Zhang M, Gao S, Zhuang J, Scheinost D, Staib LH, Ventola P, Duncan JS. BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis Medical Image Analysis 2021, 74: 102233. PMID: 34655865, PMCID: PMC9916535, DOI: 10.1016/j.media.2021.102233.
Learning-Based Regularization for Cardiac Strain Analysis via Domain AdaptationLu A, Ahn SS, Ta K, Parajuli N, Stendahl JC, Liu Z, Boutagy NE, Jeng GS, Staib LH, O’Donnell M, Sinusas AJ, Duncan JS. Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation IEEE Transactions On Medical Imaging 2021, 40: 2233-2245. PMID: 33872145, PMCID: PMC8442959, DOI: 10.1109/tmi.2021.3074033.
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity LayerZhou B, Zhou S, Duncan JS, Liu C. Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer IEEE Transactions On Medical Imaging 2021, 40: 1792-1804. PMID: 33729929, PMCID: PMC8325575, DOI: 10.1109/tmi.2021.3066318.
Shape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time EchocardiographyTa K, Ahn SS, Stendahl JC, Sinusas AJ, Duncan JS. Shape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time Echocardiography 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2021, 00: 536-540. PMID: 34168721, PMCID: PMC8221369, DOI: 10.1109/isbi48211.2021.9433888.
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registrationZhou B, Augenfeld Z, Chapiro J, Zhou SK, Liu C, Duncan JS. Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration Medical Image Analysis 2021, 71: 102041. PMID: 33823397, PMCID: PMC8184611, DOI: 10.1016/j.media.2021.102041.
Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liverOestmann PM, Wang CJ, Savic LJ, Hamm CA, Stark S, Schobert I, Gebauer B, Schlachter T, Lin M, Weinreb JC, Batra R, Mulligan D, Zhang X, Duncan JS, Chapiro J. Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver European Radiology 2021, 31: 4981-4990. PMID: 33409782, PMCID: PMC8222094, DOI: 10.1007/s00330-020-07559-1.
Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and ClassificationZhang F, Dvornek N, Yang J, Chapiro J, Duncan J. Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification IEEE Transactions On Medical Imaging 2020, 39: 3331-3342. PMID: 32356739, PMCID: PMC7606489, DOI: 10.1109/tmi.2020.2990625.
Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancerStark S, Wang C, Savic LJ, Letzen B, Schobert I, Miszczuk M, Murali N, Oestmann P, Gebauer B, Lin M, Duncan J, Schlachter T, Chapiro J. Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer Scientific Reports 2020, 10: 18026. PMID: 33093524, PMCID: PMC7582153, DOI: 10.1038/s41598-020-75120-7.
Pooling Regularized Graph Neural Network for fMRI Biomarker AnalysisLi X, Zhou Y, Dvornek NC, Zhang M, Zhuang J, Ventola P, Duncan JS. Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis 2020, 12267: 625-635. PMID: 33043324, PMCID: PMC7544244, DOI: 10.1007/978-3-030-59728-3_61.
A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D EchocardiographyTa K, Ahn SS, Stendahl JC, Sinusas AJ, Duncan JS. A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography 2020, 12266: 468-477. PMID: 33094292, PMCID: PMC7576886, DOI: 10.1007/978-3-030-59725-2_45.
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological HeterogeneityDvornek NC, Li X, Zhuang J, Ventola P, Duncan JS. Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity 2020, 12436: 363-372. PMID: 34308438, PMCID: PMC8299434, DOI: 10.1007/978-3-030-59861-7_37.
Efficient Shapley Explanation for Features Importance Estimation Under UncertaintyLi X, Zhou Y, Dvornek NC, Gu Y, Ventola P, Duncan JS. Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty 2020, 12261: 792-801. PMID: 34308439, PMCID: PMC8299327, DOI: 10.1007/978-3-030-59710-8_77.
Idarubicin-Loaded ONCOZENE Drug-Eluting Bead Chemoembolization in a Rabbit Liver Tumor Model: Investigating Safety, Therapeutic Efficacy, and Effects on Tumor MicroenvironmentBorde T, Gaupp F, Geschwind JF, Savic LJ, Miszczuk M, Rexha I, Adam L, Walsh JJ, Huber S, Duncan JS, Peters DC, Sinusas A, Schlachter T, Gebauer B, Hyder F, Coman D, van Breugel JMM, Chapiro J. Idarubicin-Loaded ONCOZENE Drug-Eluting Bead Chemoembolization in a Rabbit Liver Tumor Model: Investigating Safety, Therapeutic Efficacy, and Effects on Tumor Microenvironment Journal Of Vascular And Interventional Radiology 2020, 31: 1706-1716.e1. PMID: 32684417, PMCID: PMC7541537, DOI: 10.1016/j.jvir.2020.04.010.
Molecular MRI of the Immuno-Metabolic Interplay in a Rabbit Liver Tumor Model: A Biomarker for Resistance Mechanisms in Tumor-targeted Therapy?Savic LJ, Doemel LA, Schobert IT, Montgomery RR, Joshi N, Walsh JJ, Santana J, Pekurovsky V, Zhang X, Lin M, Adam L, Boustani A, Duncan J, Leng L, Bucala RJ, Goldberg SN, Hyder F, Coman D, Chapiro J. Molecular MRI of the Immuno-Metabolic Interplay in a Rabbit Liver Tumor Model: A Biomarker for Resistance Mechanisms in Tumor-targeted Therapy? Radiology 2020, 296: 575-583. PMID: 32633675, PMCID: PMC7434651, DOI: 10.1148/radiol.2020200373.
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE resultsLi X, Gu Y, Dvornek N, Staib LH, Ventola P, Duncan JS. Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results Medical Image Analysis 2020, 65: 101765. PMID: 32679533, PMCID: PMC7569477, DOI: 10.1016/j.media.2020.101765.
A general-purpose Monte Carlo particle transport code based on inverse transform sampling for radiotherapy dose calculationLiang Y, Muhammad W, Hart GR, Nartowt BJ, Chen ZJ, Yu JB, Roberts KB, Duncan JS, Deng J. A general-purpose Monte Carlo particle transport code based on inverse transform sampling for radiotherapy dose calculation Scientific Reports 2020, 10: 9808. PMID: 32555530, PMCID: PMC7300009, DOI: 10.1038/s41598-020-66844-7.
Imaging of Injectable Hydrogels Delivered into Myocardium with SPECT/CTUman S, Wang LL, Thorn SL, Liu Z, Duncan JS, Sinusas AJ, Burdick JA. Imaging of Injectable Hydrogels Delivered into Myocardium with SPECT/CT Advanced Healthcare Materials 2020, 9: e2000294. PMID: 32543053, PMCID: PMC7482444, DOI: 10.1002/adhm.202000294.
A Semi-Supervised Joint Learning Approach to Left Ventricular Segmentation and Motion Tracking in EchocardiographyTa K, Ahn SS, Lu A, Stendahl JC, Sinusas AJ, Duncan JS. A Semi-Supervised Joint Learning Approach to Left Ventricular Segmentation and Motion Tracking in Echocardiography 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2020, 00: 1734-1737. PMID: 33005289, PMCID: PMC7526517, DOI: 10.1109/isbi45749.2020.9098664.
Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMSDvornek NC, Ventola P, Duncan JS. Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2020, 00: 1-4. PMID: 34422224, PMCID: PMC8375550, DOI: 10.1109/isbi45749.2020.9098377.
Sparse Data–Driven Learning for Effective and Efficient Biomedical Image SegmentationOnofrey JA, Staib LH, Huang X, Zhang F, Papademetris X, Metaxas D, Rueckert D, Duncan JS. Sparse Data–Driven Learning for Effective and Efficient Biomedical Image Segmentation Annual Review Of Biomedical Engineering 2020, 22: 1-27. PMID: 32169002, PMCID: PMC9351438, DOI: 10.1146/annurev-bioeng-060418-052147.
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection.Li X, Dvornek NC, Zhuang J, Ventola P, Duncan J. Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection. Proceedings Of SPIE 2020, 11317: 1. PMID: 33082616, PMCID: PMC7569478, DOI: 10.1117/12.2549451.
Unsupervised motion tracking of left ventricle in echocardiographyAhn SS, Ta K, Lu A, Stendahl JC, Sinusas AJ, Duncan JS. Unsupervised motion tracking of left ventricle in echocardiography Proceedings Of SPIE 2020, 11319: 113190z-113190z-7. PMID: 32994659, PMCID: PMC7521020, DOI: 10.1117/12.2549572.
Molecular Imaging of Extracellular Tumor pH to Reveal Effects of Locoregional Therapy on Liver Cancer MicroenvironmentSavic LJ, Schobert I, Peters D, Walsh JJ, Laage-Gaupp F, Hamm CA, Tritz N, Doemel LA, Lin M, Sinusas A, Schlachter T, Duncan JS, Hyder F, Coman D, Chapiro J. Molecular Imaging of Extracellular Tumor pH to Reveal Effects of Locoregional Therapy on Liver Cancer Microenvironment Clinical Cancer Research 2020, 26: 428-438. PMID: 31582517, PMCID: PMC7244230, DOI: 10.1158/1078-0432.ccr-19-1702.
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 stressStendahl JC, Parajuli N, Lu A, Boutagy NE, Guerrera N, Alkhalil I, Lin BA, Staib LH, O’Donnell M, Duncan JS, Sinusas AJ. 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 Cardiovascular Ultrasound 2020, 18: 2. PMID: 31941514, PMCID: PMC6964036, DOI: 10.1186/s12947-019-0183-x.
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE.Zhuang J, Dvornek N, Li X, Tatikonda S, Papademetris X, Duncan J. Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. Proceedings Of Machine Learning Research 2020, 119: 11639-11649. PMID: 34308361, PMCID: PMC8299461.
Extracellular pH mapping of liver cancer on a clinical 3T MRI scannerComan D, Peters DC, Walsh JJ, Savic LJ, Huber S, Sinusas AJ, Lin M, Chapiro J, Constable RT, Rothman DL, Duncan JS, Hyder F. Extracellular pH mapping of liver cancer on a clinical 3T MRI scanner Magnetic Resonance In Medicine 2019, 83: 1553-1564. PMID: 31691371, PMCID: PMC7244229, DOI: 10.1002/mrm.28035.
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRIDvornek NC, Li X, Zhuang J, Duncan JS. Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI 2019, 11861: 382-390. PMID: 32274470, PMCID: PMC7143657, DOI: 10.1007/978-3-030-32692-0_44.
Invertible Network for Classification and Biomarker Selection for ASDZhuang J, Dvornek NC, Li X, Ventola P, Duncan JS. Invertible Network for Classification and Biomarker Selection for ASD 2019, 11766: 700-708. PMID: 32274471, PMCID: PMC7144624, DOI: 10.1007/978-3-030-32248-9_78.
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver SegmentationYang J, Dvornek NC, Zhang F, Chapiro J, Lin M, Duncan JS. Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation 2019, 11765: 255-263. PMID: 32377643, PMCID: PMC7202929, DOI: 10.1007/978-3-030-32245-8_29.
Graph Neural Network for Interpreting Task-fMRI BiomarkersLi X, Dvornek NC, Zhou Y, Zhuang J, Ventola P, Duncan JS. Graph Neural Network for Interpreting Task-fMRI Biomarkers 2019, 11768: 485-493. PMID: 32984866, PMCID: PMC7519579, DOI: 10.1007/978-3-030-32254-0_54.
Decision Explanation and Feature Importance for Invertible NetworksZhuang J, Dvornek NC, Li X, Yang J, Duncan JS. Decision Explanation and Feature Importance for Invertible Networks ICCV Workshops 2019, 00: 4235-4239. PMID: 33024924, PMCID: PMC7535108, DOI: 10.1109/iccvw.2019.00521.
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver SegmentationYang J, Dvornek NC, Zhang F, Zhuang J, Chapiro J, Lin M, Duncan JS. Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation ICCV Workshops 2019, 00: 323-331. PMID: 34676308, PMCID: PMC8528125, DOI: 10.1109/iccvw.2019.00043.
From Code to Bedside: Introducing Predictive Intelligence to Interventional OncologyChapiro J, Duncan JS. From Code to Bedside: Introducing Predictive Intelligence to Interventional Oncology Radiology Artificial Intelligence 2019, 1: e190139. PMID: 32076661, PMCID: PMC6776876, DOI: 10.1148/ryai.2019190139.
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker DiscoveryLi X, Dvornek NC, Zhou Y, Zhuang J, Ventola P, Duncan JS. Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery 2019, 11492: 718-730. PMID: 32982121, PMCID: PMC7519580, DOI: 10.1007/978-3-030-20351-1_56.
Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging featuresWang CJ, Hamm CA, Savic LJ, Ferrante M, Schobert I, Schlachter T, Lin M, Weinreb JC, Duncan JS, Chapiro J, Letzen B. Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features European Radiology 2019, 29: 3348-3357. PMID: 31093705, PMCID: PMC7243989, DOI: 10.1007/s00330-019-06214-8.
Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRIHamm CA, Wang CJ, Savic LJ, Ferrante M, Schobert I, Schlachter T, Lin M, Duncan JS, Weinreb JC, Chapiro J, Letzen B. Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI European Radiology 2019, 29: 3338-3347. PMID: 31016442, PMCID: PMC7251621, DOI: 10.1007/s00330-019-06205-9.
Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysisParajuli N, Lu A, Ta K, Stendahl J, Boutagy N, Alkhalil I, Eberle M, Jeng GS, Zontak M, O'Donnell M, Sinusas AJ, Duncan JS. Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis Medical Image Analysis 2019, 55: 116-135. PMID: 31055125, PMCID: PMC6939679, DOI: 10.1016/j.media.2019.04.007.
Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence ScreeningZhuang J, Dvornek NC, Zhao Q, Li X, Ventola P, Duncan JS. Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2019, 00: 404-408. PMID: 32256966, PMCID: PMC7119202, DOI: 10.1109/isbi.2019.8759156.
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma.Abajian A, Murali N, Savic LJ, Laage-Gaupp FM, Nezami N, Duncan JS, Schlachter T, Lin M, Geschwind JF, Chapiro J. Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma. Journal Of Visualized Experiments 2018 PMID: 30371657, PMCID: PMC6235502, DOI: 10.3791/58382.
Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training FrameworkZhang F, Yang J, Nezami N, Laage-gaupp F, Chapiro J, De Lin M, Duncan J. Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework 2018, 11075: 59-66. PMID: 32432233, PMCID: PMC7236808, DOI: 10.1007/978-3-030-00500-9_7.
Learning Generalizable Recurrent Neural Networks from Small Task-fMRI DatasetsDvornek NC, Yang D, Ventola P, Duncan JS. Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets 2018, 11072: 329-337. PMID: 30873514, PMCID: PMC6411297, DOI: 10.1007/978-3-030-00931-1_38.
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRILi X, Dvornek NC, Zhuang J, Ventola P, Duncan JS. Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI 2018, 11072: 206-214. PMID: 32984865, PMCID: PMC7519581, DOI: 10.1007/978-3-030-00931-1_24.
Prediction of Severity and Treatment Outcome for ASD from fMRIZhuang J, Dvornek NC, Li X, Ventola P, Duncan JS. Prediction of Severity and Treatment Outcome for ASD from fMRI 2018, 11121: 9-17. PMID: 32984867, PMCID: PMC7513883, DOI: 10.1007/978-3-030-00320-3_2.
Combining Phenotypic and Resting-State FMRI Data for Autism Classification with Recurrent Neural NetworksDvornek NC, Ventola P, Duncan JS. Combining Phenotypic and Resting-State FMRI Data for Autism Classification with Recurrent Neural Networks 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2018, 2018: 725-728. PMID: 30288208, PMCID: PMC6166875, DOI: 10.1109/isbi.2018.8363676.
2-Channel Convolutional 3D Deep Neural Network (2CC3D) for FMRI Analysis: ASD Classification and Feature LearningLi X, Dvornek NC, Papademetris X, Zhuang J, Staib LH, Ventola P, Duncan JS. 2-Channel Convolutional 3D Deep Neural Network (2CC3D) for FMRI Analysis: ASD Classification and Feature Learning 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2018, 2018: 1252-1255. PMID: 32983370, PMCID: PMC7519578, DOI: 10.1109/isbi.2018.8363798.
Prediction of Pivotal Response Treatment Outcome with Task FMRI Using Random Forest and Variable SelectionZhuang J, Dvornek NC, Li X, Yang D, Ventola P, Duncan JS. Prediction of Pivotal Response Treatment Outcome with Task FMRI Using Random Forest and Variable Selection 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2018, 2018: 97-100. PMID: 33014282, PMCID: PMC7532925, DOI: 10.1109/isbi.2018.8363531.
Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning—An Artificial Intelligence ConceptAbajian A, Murali N, Savic LJ, Laage-Gaupp FM, Nezami N, Duncan JS, Schlachter T, Lin M, Geschwind JF, Chapiro J. Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning—An Artificial Intelligence Concept Journal Of Vascular And Interventional Radiology 2018, 29: 850-857.e1. PMID: 29548875, PMCID: PMC5970021, DOI: 10.1016/j.jvir.2018.01.769.
Efficient Two-Pass 3-D Speckle Tracking for Ultrasound ImagingJeng GS, Zontak M, Parajuli N, Lu A, Ta K, Sinusas AJ, Duncan JS, O'Donnell M. Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging IEEE Access 2018, 6: 17415-17428. PMID: 30740286, PMCID: PMC6365000, DOI: 10.1109/access.2018.2815522.
Identifying Autism from Resting-State fMRI Using Long Short-Term Memory NetworksDvornek NC, Ventola P, Pelphrey KA, Duncan JS. Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks 2017, 10541: 362-370. PMID: 29104967, PMCID: PMC5669262, DOI: 10.1007/978-3-319-67389-9_42.
The impact of antiangiogenic therapy combined with Transarterial Chemoembolization on enhancement based quantitative tumor response assessment in patients with hepatocellular carcinomaSmolka S, Chapiro J, Manzano W, Treilhard J, Reiner E, Deng Y, Zhao Y, Hamm B, Duncan JS, Gebauer B, Lin M, Geschwind JF. The impact of antiangiogenic therapy combined with Transarterial Chemoembolization on enhancement based quantitative tumor response assessment in patients with hepatocellular carcinoma Clinical Imaging 2017, 46: 1-7. PMID: 28668723, PMCID: PMC5720941, DOI: 10.1016/j.clinimag.2017.05.007.
Brain responses to biological motion predict treatment outcome in young children with autismYang D, Pelphrey KA, Sukhodolsky DG, Crowley MJ, Dayan E, Dvornek NC, Venkataraman A, Duncan J, Staib L, Ventola P. Brain responses to biological motion predict treatment outcome in young children with autism Translational Psychiatry 2016, 6: e948-e948. PMID: 27845779, PMCID: PMC5314125, DOI: 10.1038/tp.2016.213.
Machine learning–based 3‐D geometry reconstruction and modeling of aortic valve deformation using 3‐D computed tomography imagesLiang L, Kong F, Martin C, Pham T, Wang Q, Duncan J, Sun W. Machine learning–based 3‐D geometry reconstruction and modeling of aortic valve deformation using 3‐D computed tomography images International Journal For Numerical Methods In Biomedical Engineering 2016, 33: e2827. PMID: 27557429, PMCID: PMC5325825, DOI: 10.1002/cnm.2827.
Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorderVenkataraman A, Yang D, Dvornek N, Staib LH, Duncan JS, Pelphrey KA, Ventola P. Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorder Neuroreport 2016, 27: 1081-1085. PMID: 27532879, PMCID: PMC5007196, DOI: 10.1097/wnr.0000000000000662.
Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimationZhang F, Kanik J, Mansi T, Voigt I, Sharma P, Ionasec RI, Subrahmanyan L, Lin BA, Sugeng L, Yuh D, Comaniciu D, Duncan J. Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation Medical Image Analysis 2016, 35: 599-609. PMID: 27718462, DOI: 10.1016/j.media.2016.09.006.
CMR-Verified Lower LA Strain in the Presence of Regional Atrial Fibrosis in Atrial FibrillationPeters DC, Duncan JS, Grunseich K, Marieb MA, Cornfeld D, Sinusas AJ, Chelikani S. CMR-Verified Lower LA Strain in the Presence of Regional Atrial Fibrosis in Atrial Fibrillation JACC Cardiovascular Imaging 2016, 10: 207-208. PMID: 27085430, PMCID: PMC5600154, DOI: 10.1016/j.jcmg.2016.01.015.
Bayesian Community Detection in the Space of Group-Level Functional Differences.Venkataraman A, Yang D, Pelphrey K, Duncan J. Bayesian Community Detection in the Space of Group-Level Functional Differences. IEEE Transactions On Medical Imaging 2016 PMID: 28113453, DOI: 10.1109/TMI.2016.2536559.
Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation AnalysisParajuli N, Compas CB, Lin BA, Sampath S, O’Donnell M, Sinusas AJ, Duncan JS. Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation Analysis 2015, 9126: 57-64. PMID: 27976753, PMCID: PMC5146991, DOI: 10.1007/978-3-319-20309-6_7.
An unbiased Bayesian approach to functional connectomics implicates social-communication networks in autismVenkataraman A, Duncan JS, Yang D, Pelphrey KA. An unbiased Bayesian approach to functional connectomics implicates social-communication networks in autism NeuroImage Clinical 2015, 8: 356-366. PMID: 26106561, PMCID: PMC4474177, DOI: 10.1016/j.nicl.2015.04.021.
Correction to “Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography”Compas CB, Wong EY, Huang X, Sampath S, Lin BA, Pal P, Papademetris X, Thiele K, Dione DP, Stacy M, Staib LH, Sinusas AJ, O'Donnell M, Duncan JS. Correction to “Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography” IEEE Transactions On Medical Imaging 2015, 34: 690-690. PMID: 25647814, PMCID: PMC5572112, DOI: 10.1109/tmi.2015.2397791.
Radial Basis Functions for Combining Shape and Speckle Tracking in 4D EchocardiographyCompas C, Wong EY, Huang X, Sampath S, Lin BA, Pal P, Papademetris X, Thiele K, Dione DP, Stacy M, Staib LH, Sinusas AJ, O'Donnell M, Duncan JS. Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography IEEE Transactions On Medical Imaging 2014, 33: 1275-1289. PMID: 24893257, PMCID: PMC4283552, DOI: 10.1109/tmi.2014.2308894.
A Novel Multiple Hypothesis Based Particle Tracking Method for Clathrin Mediated Endocytosis Analysis Using Fluorescence MicroscopyLiang L, Shen H, De Camilli P, Duncan JS. A Novel Multiple Hypothesis Based Particle Tracking Method for Clathrin Mediated Endocytosis Analysis Using Fluorescence Microscopy IEEE Transactions On Image Processing 2014, 23: 1844-1857. PMID: 24808351, PMCID: PMC4373089, DOI: 10.1109/tip.2014.2303633.
Objective comparison of particle tracking methodsChenouard N, Smal I, de Chaumont F, Maška M, Sbalzarini IF, Gong Y, Cardinale J, Carthel C, Coraluppi S, Winter M, Cohen AR, Godinez WJ, Rohr K, Kalaidzidis Y, Liang L, Duncan J, Shen H, Xu Y, Magnusson KE, Jaldén J, Blau HM, Paul-Gilloteaux P, Roudot P, Kervrann C, Waharte F, Tinevez JY, Shorte SL, Willemse J, Celler K, van Wezel GP, Dan HW, Tsai YS, de Solórzano C, Olivo-Marin JC, Meijering E. Objective comparison of particle tracking methods Nature Methods 2014, 11: 281-289. PMID: 24441936, PMCID: PMC4131736, DOI: 10.1038/nmeth.2808.
A role of OCRL in clathrin-coated pit dynamics and uncoating revealed by studies of Lowe syndrome cellsNández R, Balkin DM, Messa M, Liang L, Paradise S, Czapla H, Hein MY, Duncan JS, Mann M, De Camilli P. A role of OCRL in clathrin-coated pit dynamics and uncoating revealed by studies of Lowe syndrome cells ELife 2014, 3: e02975. PMID: 25107275, PMCID: PMC4358339, DOI: 10.7554/elife.02975.
Contour tracking in echocardiographic sequences via sparse representation and dictionary learningHuang X, Dione DP, Compas CB, Papademetris X, Lin BA, Bregasi A, Sinusas AJ, Staib LH, Duncan JS. Contour tracking in echocardiographic sequences via sparse representation and dictionary learning Medical Image Analysis 2013, 18: 253-271. PMID: 24292554, PMCID: PMC3946038, DOI: 10.1016/j.media.2013.10.012.
A Multiple Hypothesis Based Method for Particle Tracking and Its Extension for Cell SegmentationLiang L, Shen H, Rompolas P, Greco V, De Camilli P, Duncan JS. A Multiple Hypothesis Based Method for Particle Tracking and Its Extension for Cell Segmentation 2013, 23: 98-109. PMID: 24683961, PMCID: PMC4122512, DOI: 10.1007/978-3-642-38868-2_9.
Segmentation of 4D Echocardiography Using Stochastic Online Dictionary LearningHuang X, Dione DP, Lin BA, Bregasi A, Sinusas AJ, Duncan JS. Segmentation of 4D Echocardiography Using Stochastic Online Dictionary Learning 2013, 16: 57-65. PMID: 24505744, DOI: 10.1007/978-3-642-40760-4_8.
Assessment of left ventricular 2D flow pathlines during early diastole using spatial modulation of magnetization with polarity alternating velocity encoding: A study in normal volunteers and canine animals with myocardial infarctionZhang Z, Friedman D, Dione DP, Lin BA, Duncan JS, Sinusas AJ, Sampath S. Assessment of left ventricular 2D flow pathlines during early diastole using spatial modulation of magnetization with polarity alternating velocity encoding: A study in normal volunteers and canine animals with myocardial infarction Magnetic Resonance In Medicine 2012, 70: 766-775. PMID: 23044637, PMCID: PMC3844046, DOI: 10.1002/mrm.24517.
Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom ValidationDeLorenzo C, Papademetris X, Staib LH, Vives KP, Spencer DD, Duncan JS. Volumetric Intraoperative Brain Deformation Compensation: Model Development and Phantom Validation IEEE Transactions On Medical Imaging 2012, 31: 1607-1619. PMID: 22562728, PMCID: PMC3600363, DOI: 10.1109/tmi.2012.2197407.
Simultaneous Nonrigid Registration, Segmentation, and Tumor Detection in MRI Guided Cervical Cancer Radiation TherapyLu C, Chelikani S, Jaffray DA, Milosevic MF, Staib LH, Duncan JS. Simultaneous Nonrigid Registration, Segmentation, and Tumor Detection in MRI Guided Cervical Cancer Radiation Therapy IEEE Transactions On Medical Imaging 2012, 31: 1213-1227. PMID: 22328178, PMCID: PMC3889159, DOI: 10.1109/tmi.2012.2186976.
A Dynamical Appearance Model Based on Multiscale Sparse Representation: Segmentation of the Left Ventricle from 4D EchocardiographyHuang X, Dione DP, Compas CB, Papademetris X, Lin BA, Sinusas AJ, Duncan JS. A Dynamical Appearance Model Based on Multiscale Sparse Representation: Segmentation of the Left Ventricle from 4D Echocardiography 2012, 15: 58-65. PMID: 23286114, PMCID: PMC3889160, DOI: 10.1007/978-3-642-33454-2_8.
Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information TheoryLu C, Zheng Y, Birkbeck N, Zhang J, Kohlberger T, Tietjen C, Boettger T, Duncan JS, Zhou SK. Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory 2012, 15: 462-469. PMID: 23286081, DOI: 10.1007/978-3-642-33418-4_57.
Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and LabelingChitphakdithai N, Chiang VL, Duncan JS. Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling 2012, 7570: 124-136. PMID: 31187098, PMCID: PMC6559745, DOI: 10.1007/978-3-642-33555-6_11.
Segmentation of 3D radio frequency echocardiography using a spatio-temporal predictorPearlman PC, Tagare HD, Lin BA, Sinusas AJ, Duncan JS. Segmentation of 3D radio frequency echocardiography using a spatio-temporal predictor Medical Image Analysis 2011, 16: 351-360. PMID: 22078842, PMCID: PMC3267850, DOI: 10.1016/j.media.2011.09.002.
REGISTRATION OF BRAIN RESECTION MRI WITH INTENSITY AND LOCATION PRIORSChitphakdithai N, Vives KP, Duncan JS. REGISTRATION OF BRAIN RESECTION MRI WITH INTENSITY AND LOCATION PRIORS 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2011, 1: 1520-1523. PMID: 30774752, PMCID: PMC6376974, DOI: 10.1109/isbi.2011.5872690.
An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapyLu C, Chelikani S, Papademetris X, Knisely JP, Milosevic MF, Chen Z, Jaffray DA, Staib LH, Duncan JS. An integrated approach to segmentation and nonrigid registration for application in image-guided pelvic radiotherapy Medical Image Analysis 2011, 15: 772-785. PMID: 21646038, PMCID: PMC3164526, DOI: 10.1016/j.media.2011.05.010.
Targeted Imaging of the Spatial and Temporal Variation of Matrix Metalloproteinase Activity in a Porcine Model of Postinfarct RemodelingSahul ZH, Mukherjee R, Song J, McAteer J, Stroud RE, Dione DP, Staib L, Papademetris X, Dobrucki LW, Duncan JS, Spinale FG, Sinusas AJ. Targeted Imaging of the Spatial and Temporal Variation of Matrix Metalloproteinase Activity in a Porcine Model of Postinfarct Remodeling Circulation Cardiovascular Imaging 2011, 4: 381-391. PMID: 21505092, PMCID: PMC3140564, DOI: 10.1161/circimaging.110.961854.
3-D Reconstruction of Microtubules from Multi-Angle Total Internal Reflection Fluorescence Microscopy Using Bayesian FrameworkYang Q, Karpikov A, Toomre D, Duncan JS. 3-D Reconstruction of Microtubules from Multi-Angle Total Internal Reflection Fluorescence Microscopy Using Bayesian Framework IEEE Transactions On Image Processing 2011, 20: 2248-2259. PMID: 21324778, DOI: 10.1109/tip.2011.2114359.
Segmentation of 3D RF Echocardiography Using a Multiframe Spatio-temporal PredictorPearlman PC, Tagare HD, Lin BA, Sinusas AJ, Duncan JS. Segmentation of 3D RF Echocardiography Using a Multiframe Spatio-temporal Predictor 2011, 22: 37-48. PMID: 21761644, DOI: 10.1007/978-3-642-22092-0_4.
A Unified Framework for Joint Segmentation, Nonrigid Registration and Tumor Detection: Application to MR-Guided RadiotherapyLu C, Chelikani S, Duncan JS. A Unified Framework for Joint Segmentation, Nonrigid Registration and Tumor Detection: Application to MR-Guided Radiotherapy 2011, 22: 525-537. PMID: 21761683, PMCID: PMC3889153, DOI: 10.1007/978-3-642-22092-0_43.
An Expectation Maximization Based Method for Subcellular Particle Tracking Using Multi-angle TIRF MicroscopyLiang L, Shen H, De Camilli P, Toomre DK, Duncan JS. An Expectation Maximization Based Method for Subcellular Particle Tracking Using Multi-angle TIRF Microscopy 2011, 14: 629-636. PMID: 22003671, PMCID: PMC3648983, DOI: 10.1007/978-3-642-23623-5_79.
Non-rigid Registration of Longitudinal Brain Tumor Treatment MRIChitphakdithai N, Chiang VL, Duncan JS. Non-rigid Registration of Longitudinal Brain Tumor Treatment MRI Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2011, 2011: 4893-4896. PMID: 22255435, PMCID: PMC3753806, DOI: 10.1109/iembs.2011.6091212.
PAIRWISE REGISTRATION OF IMAGES WITH MISSING CORRESPONDENCES DUE TO RESECTIONChitphakdithai N, Duncan JS. PAIRWISE REGISTRATION OF IMAGES WITH MISSING CORRESPONDENCES DUE TO RESECTION 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2010, 2010: 1025-1028. PMID: 21804926, PMCID: PMC3146293, DOI: 10.1109/isbi.2010.5490164.
A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraintZhu Y, Papademetris X, Sinusas AJ, Duncan JS. A coupled deformable model for tracking myocardial borders from real-time echocardiography using an incompressibility constraint Medical Image Analysis 2010, 14: 429-448. PMID: 20350833, PMCID: PMC4318707, DOI: 10.1016/j.media.2010.02.005.
Image-Guided Intraoperative Cortical Deformation Recovery Using Game Theory: Application to Neocortical Epilepsy SurgeryDeLorenzo C, Papademetris X, Staib LH, Vives KP, Spencer DD, Duncan JS. Image-Guided Intraoperative Cortical Deformation Recovery Using Game Theory: Application to Neocortical Epilepsy Surgery IEEE Transactions On Medical Imaging 2010, 29: 322-338. PMID: 20129844, PMCID: PMC2824434, DOI: 10.1109/tmi.2009.2027993.
Non-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain ImagesChitphakdithai N, Duncan JS. Non-rigid Registration with Missing Correspondences in Preoperative and Postresection Brain Images 2010, 13: 367-374. PMID: 20879252, PMCID: PMC3031159, DOI: 10.1007/978-3-642-15705-9_45.
3D Radio Frequency Ultrasound Cardiac Segmentation Using a Linear PredictorPearlman PC, Tagare HD, Sinusas AJ, Duncan JS. 3D Radio Frequency Ultrasound Cardiac Segmentation Using a Linear Predictor 2010, 13: 502-509. PMID: 20879268, PMCID: PMC3889143, DOI: 10.1007/978-3-642-15705-9_61.
Estimation of 3D Geometry of Microtubules Using Multi-angle Total Internal Reflection Fluorescence MicroscopyYang Q, Karpikov A, Toomre D, Duncan J. Estimation of 3D Geometry of Microtubules Using Multi-angle Total Internal Reflection Fluorescence Microscopy 2010, 13: 538-545. PMID: 20879357, DOI: 10.1007/978-3-642-15745-5_66.
Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided RadiotherapyLu C, Chelikani S, Chen Z, Papademetris X, Staib LH, Duncan JS. Integrated Segmentation and Nonrigid Registration for Application in Prostate Image-Guided Radiotherapy 2010, 13: 53-60. PMID: 20879214, DOI: 10.1007/978-3-642-15705-9_7.
Tracking Clathrin Coated Pits with a Multiple Hypothesis Based MethodLiang L, Shen H, De Camilli P, Duncan JS. Tracking Clathrin Coated Pits with a Multiple Hypothesis Based Method 2010, 13: 315-322. PMID: 20879330, PMCID: PMC3889144, DOI: 10.1007/978-3-642-15745-5_39.
Segmentation of the Left Ventricle from Cardiac MR Images Using a Subject-Specific Dynamical ModelZhu Y, Papademetris X, Sinusas AJ, Duncan JS. Segmentation of the Left Ventricle from Cardiac MR Images Using a Subject-Specific Dynamical Model IEEE Transactions On Medical Imaging 2009, 29: 669-687. PMID: 19789107, PMCID: PMC2832728, DOI: 10.1109/tmi.2009.2031063.
2D‐3D registration for prostate radiation therapy based on a statistical model of transmission imagesMunbodh R, Tagare HD, Chen Z, Jaffray DA, Moseley DJ, Knisely JP, Duncan JS. 2D‐3D registration for prostate radiation therapy based on a statistical model of transmission images Medical Physics 2009, 36: 4555-4568. PMID: 19928087, DOI: 10.1118/1.3213531.
Constrained non-rigid registration for use in image-guided adaptive radiotherapyGreene WH, Chelikani S, Purushothaman K, Knisely JP, Chen Z, Papademetris X, Staib LH, Duncan JS. Constrained non-rigid registration for use in image-guided adaptive radiotherapy Medical Image Analysis 2009, 13: 809-817. PMID: 19682945, PMCID: PMC2771756, DOI: 10.1016/j.media.2009.07.004.
Preliminary evidence for progressive prefrontal abnormalities in adolescents and young adults with bipolar disorderKALMAR JH, WANG F, SPENCER L, EDMISTON E, LACADIE CM, MARTIN A, CONSTABLE RT, DUNCAN JS, STAIB LH, PAPADEMETRIS X, BLUMBERG HP. Preliminary evidence for progressive prefrontal abnormalities in adolescents and young adults with bipolar disorder Journal Of The International Neuropsychological Society 2009, 15: 476-481. PMID: 19402934, PMCID: PMC2852397, DOI: 10.1017/s1355617709090584.
From medical image computing to computer‐aided intervention: development of a research interface for image‐guided navigationPapademetris X, DeLorenzo C, Flossmann S, Neff M, Vives KP, Spencer DD, Staib LH, Duncan JS. From medical image computing to computer‐aided intervention: development of a research interface for image‐guided navigation International Journal Of Medical Robotics And Computer Assisted Surgery 2009, 5: 147-157. PMID: 19301361, PMCID: PMC2796181, DOI: 10.1002/rcs.241.
A Dynamical Shape Prior for LV Segmentation from RT3D EchocardiographyZhu Y, Papademetris X, Sinusas AJ, Duncan JS. A Dynamical Shape Prior for LV Segmentation from RT3D Echocardiography 2009, 5761: 206-213. PMID: 20054422, PMCID: PMC2801876, DOI: 10.1007/978-3-642-04268-3_26.
A dynamical shape prior for LV segmentation from RT3D echocardiography.Zhu Y, Papademetris X, Sinusas AJ, Duncan JS. A dynamical shape prior for LV segmentation from RT3D echocardiography. 2009, 12: 206-13. PMID: 20425989, PMCID: PMC7814293.
Automated 2D–3D registration of portal images and CT data using line‐segment enhancementMunbodh R, Chen Z, Jaffray DA, Moseley DJ, Knisely JP, Duncan JS. Automated 2D–3D registration of portal images and CT data using line‐segment enhancement Medical Physics 2008, 35: 4352-4361. PMID: 18975681, PMCID: PMC3910153, DOI: 10.1118/1.2975143.
Effects of the Brain-Derived Neurotrophic Growth Factor Val66Met Variation on Hippocampus Morphology in Bipolar DisorderChepenik LG, Fredericks C, Papademetris X, Spencer L, Lacadie C, Wang F, Pittman B, Duncan JS, Staib LH, Duman RS, Gelernter J, Blumberg HP. Effects of the Brain-Derived Neurotrophic Growth Factor Val66Met Variation on Hippocampus Morphology in Bipolar Disorder Neuropsychopharmacology 2008, 34: 944-951. PMID: 18704093, PMCID: PMC2837582, DOI: 10.1038/npp.2008.107.
Motion tracking of the outer tips of microtubulesHadjidemetriou S, Toomre D, Duncan J. Motion tracking of the outer tips of microtubules Medical Image Analysis 2008, 12: 689-702. PMID: 18571462, DOI: 10.1016/j.media.2008.04.004.
Segmentation of Left Ventricle from 3D Cardiac MR Image Sequences Using a Subject-Specific Dynamical ModelZhu Y, Papademetris X, Sinusas A, Duncan JS. Segmentation of Left Ventricle from 3D Cardiac MR Image Sequences Using a Subject-Specific Dynamical Model 2015 IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2008, 2008: 1-8. PMID: 20052308, PMCID: PMC2801445, DOI: 10.1109/cvpr.2008.4587433.
TRACKING ORGAN OVERLAP FOR A CONSTRAINED NON-RIGID REGISTRATION ALGORITHMGreene WH, Chelikani S, Papademetris X, Staib LH, Knisely JP, Duncan J. TRACKING ORGAN OVERLAP FOR A CONSTRAINED NON-RIGID REGISTRATION ALGORITHM 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2008, 4541207: 1159-1162. PMID: 20126424, PMCID: PMC2814434, DOI: 10.1109/isbi.2008.4541207.
Bayesian Analysis of fMRI Data with ICA Based Spatial PriorBathula DR, Tagare HD, Staib LH, Papademetris X, Schultz RT, Duncan JS. Bayesian Analysis of fMRI Data with ICA Based Spatial Prior 2008, 11: 246-254. PMID: 18982612, PMCID: PMC2864117, DOI: 10.1007/978-3-540-85990-1_30.
Bidirectional Segmentation of Three-Dimensional Cardiac MR Images Using a Subject-Specific Dynamical ModelZhu Y, Papademetris X, Sinusas AJ, Duncan JS. Bidirectional Segmentation of Three-Dimensional Cardiac MR Images Using a Subject-Specific Dynamical Model 2008, 11: 450-457. PMID: 18982636, PMCID: PMC2829658, DOI: 10.1007/978-3-540-85990-1_54.
A frequency‐based approach to locate common structure for 2D‐3D intensity‐based registration of setup images in prostate radiotherapyMunbodh R, Chen Z, Jaffray DA, Moseley DJ, Knisely JP, Duncan JS. A frequency‐based approach to locate common structure for 2D‐3D intensity‐based registration of setup images in prostate radiotherapy Medical Physics 2007, 34: 3005-3017. PMID: 17822009, PMCID: PMC2796184, DOI: 10.1118/1.2745235.
Boundary element method-based regularization for recovering of LV deformationYan P, Sinusas A, Duncan JS. Boundary element method-based regularization for recovering of LV deformation Medical Image Analysis 2007, 11: 540-554. PMID: 17584521, DOI: 10.1016/j.media.2007.04.007.
Challenges in image-guided therapy system designDiMaio S, Kapur T, Cleary K, Aylward S, Kazanzides P, Vosburgh K, Ellis R, Duncan J, Farahani K, Lemke H, Peters T, Lorensen W, Gobbi D, Haller J, Clarke L, Pizer S, Taylor R, Galloway R, Fichtinger G, Hata N, Lawson K, Tempany C, Kikinis R, Jolesz F. Challenges in image-guided therapy system design NeuroImage 2007, 37: s144-s151. PMID: 17644360, PMCID: PMC3780776, DOI: 10.1016/j.neuroimage.2007.04.026.
A Comprehensive System for Intraoperative 3D Brain Deformation RecoveryDeLorenzo C, Papademetris X, Vives KP, Spencer DD, Duncan JS. A Comprehensive System for Intraoperative 3D Brain Deformation Recovery 2007, 10: 553-561. PMID: 18044612, PMCID: PMC2864112, DOI: 10.1007/978-3-540-75759-7_67.
A CONSTRAINED NON-RIGID REGISTRATION ALGORITHM FOR APPLICATION IN PROSTATE RADIOTHERAPYGreene WH, Chelikani S, Papademetris X, Knisely JP, Duncan J. A CONSTRAINED NON-RIGID REGISTRATION ALGORITHM FOR APPLICATION IN PROSTATE RADIOTHERAPY 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2007, 4193392: 740-743. PMID: 20011132, PMCID: PMC2792992, DOI: 10.1109/isbi.2007.356958.
Segmentation of Myocardial Volumes from Real-Time 3D Echocardiography Using an Incompressibility ConstraintZhu Y, Papademetris X, Sinusas A, Duncan JS. Segmentation of Myocardial Volumes from Real-Time 3D Echocardiography Using an Incompressibility Constraint 2007, 10: 44-51. PMID: 18051042, DOI: 10.1007/978-3-540-75757-3_6.
LEVEL SET BASED CLUSTERING FOR ANALYSIS OF FUNCTIONAL MRI DATABathula DR, Papademetris X, Duncan JS. LEVEL SET BASED CLUSTERING FOR ANALYSIS OF FUNCTIONAL MRI DATA 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2007, 4: 416-419. PMID: 20216927, PMCID: PMC2834251, DOI: 10.1109/isbi.2007.356877.
LV segmentation through the analysis of radio frequency ultrasonic images.Yan P, Jia CX, Sinusas A, Thiele K, O'Donnell M, Duncan JS. LV segmentation through the analysis of radio frequency ultrasonic images. Information Processing In Medical Imaging : Proceedings Of The ... Conference 2007, 20: 233-44. PMID: 17633703.
A gradient feature weighted Minimax algorithm for registration of multiple portal images to 3DCT volumes in prostate radiotherapyChelikani S, Purushothaman K, Knisely J, Chen Z, Nath R, Bansal R, Duncan J. A gradient feature weighted Minimax algorithm for registration of multiple portal images to 3DCT volumes in prostate radiotherapy International Journal Of Radiation Oncology • Biology • Physics 2006, 65: 535-547. PMID: 16690436, PMCID: PMC2791048, DOI: 10.1016/j.ijrobp.2005.12.032.
Automated 2D‐3D registration of a radiograph and a cone beam CT using line‐segment enhancementa)Munbodh R, Jaffray DA, Moseley DJ, Chen Z, Knisely JP, Cathier P, Duncan JS. Automated 2D‐3D registration of a radiograph and a cone beam CT using line‐segment enhancementa) Medical Physics 2006, 33: 1398-1411. PMID: 16752576, PMCID: PMC2796183, DOI: 10.1118/1.2192621.
Towards pointwise motion tracking in echocardiographic image sequences – Comparing the reliability of different features for speckle trackingYu W, Yan P, Sinusas AJ, Thiele K, Duncan JS. Towards pointwise motion tracking in echocardiographic image sequences – Comparing the reliability of different features for speckle tracking Medical Image Analysis 2006, 10: 495-508. PMID: 16574465, DOI: 10.1016/j.media.2005.12.003.
Nonrigid 3D Brain Registration Using Intensity/Feature InformationDeLorenzo C, Papademetris X, Wu K, Vives KP, Spencer D, Duncan JS. Nonrigid 3D Brain Registration Using Intensity/Feature Information 2006, 9: 932-939. PMID: 17354980, PMCID: PMC2864121, DOI: 10.1007/11866565_114.
A Boundary Element-Based Approach to Analysis of LV DeformationYan P, Lin N, Sinusas AJ, Duncan JS. A Boundary Element-Based Approach to Analysis of LV Deformation 2005, 8: 778-785. PMID: 16685917, DOI: 10.1007/11566465_96.
Segmentation and 3D Reconstruction of Microtubules in Total Internal Reflection Fluorescence Microscopy (TIRFM)Hadjidemetriou S, Toomre D, Duncan JS. Segmentation and 3D Reconstruction of Microtubules in Total Internal Reflection Fluorescence Microscopy (TIRFM) 2005, 8: 761-769. PMID: 16685915, DOI: 10.1007/11566465_94.
3D image segmentation of deformable objects with joint shape-intensity prior models using level setsYang J, Duncan JS. 3D image segmentation of deformable objects with joint shape-intensity prior models using level sets Medical Image Analysis 2004, 8: 285-294. PMID: 15450223, PMCID: PMC2832842, DOI: 10.1016/j.media.2004.06.008.
Neighbor-Constrained Segmentation With Level Set Based 3-D Deformable ModelsYang J, Staib LH, Duncan JS. Neighbor-Constrained Segmentation With Level Set Based 3-D Deformable Models IEEE Transactions On Medical Imaging 2004, 23: 940-948. PMID: 15338728, PMCID: PMC2838450, DOI: 10.1109/tmi.2004.830802.
Joint Prior Models of Neighboring Objects for 3D Image SegmentationYang J, Duncan JS. Joint Prior Models of Neighboring Objects for 3D Image Segmentation 2015 IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2004, 1: i-314-i-319. PMID: 20448825, PMCID: PMC2864486, DOI: 10.1109/cvpr.2004.1315048.
Segmentation of 3D Deformable Objects with Level Set Based Prior ModelsYang J, Tagare HD, Staib LH, Duncan JS. Segmentation of 3D Deformable Objects with Level Set Based Prior Models 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2004, 1: 85-88. PMID: 20300448, PMCID: PMC2840654, DOI: 10.1109/isbi.2004.1398480.
Integrated Intensity and Point-Feature Nonrigid RegistrationPapademetris X, Jackowski AP, Schultz RT, Staib LH, Duncan JS. Integrated Intensity and Point-Feature Nonrigid Registration 2004, 3216: 763-770. PMID: 20473359, PMCID: PMC2869095, DOI: 10.1007/978-3-540-30135-6_93.
Functional Brain Image Analysis Using Joint Function-Structure PriorsYang J, Papademetris X, Staib LH, Schultz RT, Duncan JS. Functional Brain Image Analysis Using Joint Function-Structure Priors 2004, 3217: 736-744. PMID: 20543899, PMCID: PMC2883266, DOI: 10.1007/978-3-540-30136-3_90.
Geometric strategies for neuroanatomic analysis from MRIDuncan JS, Papademetris X, Yang J, Jackowski M, Zeng X, Staib LH. Geometric strategies for neuroanatomic analysis from MRI NeuroImage 2004, 23: s34-s45. PMID: 15501099, PMCID: PMC2832750, DOI: 10.1016/j.neuroimage.2004.07.027.
Image Processing and Analysis at IPAGDuncan JS, Staib LH. Image Processing and Analysis at IPAG IEEE Transactions On Medical Imaging 2003, 22: 1505. PMID: 14649742, DOI: 10.1109/tmi.2003.819935.
Combinative multi-scale level set framework for echocardiographic image segmentationLin N, Yu W, Duncan JS. Combinative multi-scale level set framework for echocardiographic image segmentation Medical Image Analysis 2003, 7: 529-537. PMID: 14561556, DOI: 10.1016/s1361-8415(03)00035-5.
A unified non-rigid feature registration method for brain mappingChui H, Win L, Schultz R, Duncan JS, Rangarajan A. A unified non-rigid feature registration method for brain mapping Medical Image Analysis 2003, 7: 113-130. PMID: 12868617, DOI: 10.1016/s1361-8415(02)00102-0.
MRI and PET Study of Deficits in Hippocampal Structure and Function in Women With Childhood Sexual Abuse and Posttraumatic Stress DisorderBremner JD, Vythilingam M, Vermetten E, Southwick SM, McGlashan T, Nazeer A, Khan S, Vaccarino LV, Soufer R, Garg PK, Ng CK, Staib LH, Duncan JS, Charney DS. MRI and PET Study of Deficits in Hippocampal Structure and Function in Women With Childhood Sexual Abuse and Posttraumatic Stress Disorder American Journal Of Psychiatry 2003, 160: 924-932. PMID: 12727697, DOI: 10.1176/appi.ajp.160.5.924.
Entropy-Based Dual-Portal-to-3-DCT Registration Incorporating Pixel CorrelationBansal R, Staib LH, Chen Z, Rangarajan A, Knisely J, Nath R, Duncan JS. Entropy-Based Dual-Portal-to-3-DCT Registration Incorporating Pixel Correlation IEEE Transactions On Medical Imaging 2003, 22: 29. PMID: 12703758, DOI: 10.1109/tmi.2002.806430.
Neighbor-Constrained Segmentation with 3D Deformable ModelsYang J, Staib LH, Duncan JS. Neighbor-Constrained Segmentation with 3D Deformable Models 2003, 18: 198-209. PMID: 15344458, DOI: 10.1007/978-3-540-45087-0_17.
Model-driven brain shift compensationŠkrinjar O, Nabavi A, Duncan J. Model-driven brain shift compensation Medical Image Analysis 2002, 6: 361-373. PMID: 12494947, DOI: 10.1016/s1361-8415(02)00062-2.
Three-Dimensional Cardiovascular Image AnalysisFrangi A, Rueckert D, Duncan JS. Three-Dimensional Cardiovascular Image Analysis IEEE Transactions On Medical Imaging 2002, 21: 1005. PMID: 12564868, DOI: 10.1109/tmi.2002.804442.
Estimation of 3-D Left Ventricular Deformation from Medical Images Using Biomechanical ModelsPapademetris* X, Sinusas AJ, Dione DP, Constable RT, Duncan JS. Estimation of 3-D Left Ventricular Deformation from Medical Images Using Biomechanical Models IEEE Transactions On Medical Imaging 2002, 21: 786. PMID: 12374316, DOI: 10.1109/tmi.2002.801163.
A new method for quantification of spatial and temporal parameters of endocardial motion: evaluation of experimental infarction using magnetic resonance imaging.Heller EN, Staib LH, Dione DP, Constable RT, Shi CQ, Duncan JS, Sinusas AJ. A new method for quantification of spatial and temporal parameters of endocardial motion: evaluation of experimental infarction using magnetic resonance imaging. Canadian Journal Of Cardiology 2001, 17: 309-18. PMID: 11264564.
Point-tracked quantitative analysis of left ventricular surface motion from 3-D image sequencesShi P, Sinusas AJ, Constable RT, Ritman E, Duncan JS. Point-tracked quantitative analysis of left ventricular surface motion from 3-D image sequences IEEE Transactions On Medical Imaging 2000, 19: 36-50. PMID: 10782617, DOI: 10.1109/42.832958.
Positron Emission Tomography Measurement of Cerebral Metabolic Correlates of Tryptophan Depletion—Induced Depressive RelapseBremner JD, Innis RB, Salomon RM, Staib LH, Ng CK, Miller HL, Bronen RA, Krystal JH, Duncan J, Rich D, Price LH, Malison R, Dey H, Soufer R, Charney DS. Positron Emission Tomography Measurement of Cerebral Metabolic Correlates of Tryptophan Depletion—Induced Depressive Relapse JAMA Psychiatry 1997, 54: 364-374. PMID: 9107153, DOI: 10.1001/archpsyc.1997.01830160092012.
Positron Emission Tomography Measurement of Cerebral Metabolic Correlates of Yohimbine Administration in Combat-Related Posttraumatic Stress DisorderBremner JD, Innis RB, Ng CK, Staib LH, Salomon RM, Bronen RA, Duncan J, Southwick SM, Krystal JH, Rich D, Zubal G, Dey H, Soufer R, Charney DS. Positron Emission Tomography Measurement of Cerebral Metabolic Correlates of Yohimbine Administration in Combat-Related Posttraumatic Stress Disorder JAMA Psychiatry 1997, 54: 246-254. PMID: 9075465, DOI: 10.1001/archpsyc.1997.01830150070011.
Tracking myocardial deformation using phase contrast MR velocity fields: a stochastic approachMeyer FG, Constable RT, Sinusas AJ, Duncan JS. Tracking myocardial deformation using phase contrast MR velocity fields: a stochastic approach IEEE Transactions On Medical Imaging 1996, 15: 453-465. PMID: 18215927, DOI: 10.1109/42.511749.

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