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Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching.

N. Parajuli, A. Lu, J. Stendahl, M. Zontak, N. Boutagy, I. Alkhalil, M. Eberle, B. Lin, M. O'Donnell, A. Sinusas, and J. Duncan. MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 279-286. Springer, (2017)

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Flow Network Tracking for Spatiotemporal and Periodic Point Matching: Applied to Cardiac Motion Analysis.N. Parajuli, A. Lu, K. Ta, J. Stendahl, N. Boutagy, I. Alkhalil, M. Eberle, G. Jeng, M. Zontak, M. O'Donnell and 2 other author(s). CoRR, (2018)Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.A. Suinesiaputra, P. Ablin, X. Albà, M. Alessandrini, J. Allen, W. Bai, S. Çimen, P. Claes, B. Cowan, J. D'hooge and 26 other author(s). IEEE J. Biomedical and Health Informatics, 22 (2): 503-515 (2018)Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis.A. Lu, M. Zontak, N. Parajuli, J. Stendahl, N. Boutagy, M. Eberle, I. Alkhalil, M. O'Donnell, A. Sinusas, and J. Duncan. MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 323-331. Springer, (2017)Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching.N. Parajuli, A. Lu, J. Stendahl, M. Zontak, N. Boutagy, I. Alkhalil, M. Eberle, B. Lin, M. O'Donnell, A. Sinusas and 1 other author(s). MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 279-286. Springer, (2017)Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation Analysis.N. Parajuli, C. Compas, B. Lin, S. Sampath, M. O'Donnell, A. Sinusas, and J. Duncan. FIMH, volume 9126 of Lecture Notes in Computer Science, page 57-64. Springer, (2015)Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis.N. Parajuli, A. Lu, K. Ta, J. Stendahl, N. Boutagy, I. Alkhalil, M. Eberle, G. Jeng, M. Zontak, M. O'Donnell and 2 other author(s). Medical Image Analysis, (2019)Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging.G. Jeng, M. Zontak, N. Parajuli, A. Lu, K. Ta, A. Sinusas, J. Duncan, and M. O'Donnell. IEEE Access, (2018)Integrated Dynamic Shape Tracking and RF Speckle Tracking for Cardiac Motion Analysis.N. Parajuli, A. Lu, J. Stendahl, M. Zontak, N. Boutagy, M. Eberle, I. Alkhalil, M. O'Donnell, A. Sinusas, and J. Duncan. MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 431-438. (2016)Left Ventricle Classification Using Active Shape Model and Support Vector Machine.N. Parajuli, A. Lu, and J. Duncan. STACOM@MICCAI, volume 9534 of Lecture Notes in Computer Science, page 154-161. Springer, (2015)Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation.A. Lu, N. Parajuli, M. Zontak, J. Stendahl, K. Ta, Z. Liu, N. Boutagy, G. Jeng, I. Alkhalil, L. Staib and 3 other author(s). CoRR, (2018)

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Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching.

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Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching.