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Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures.

S. Grbic, R. Ionasec, Y. Wang, T. Mansi, B. Georgescu, M. John, J. Boese, Y. Zheng, N. Navab, and D. Comaniciu. MICCAI (1), volume 6891 of Lecture Notes in Computer Science, page 219-226. Springer, (2011)

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Smart cameras with real-time video object generation.A. Bue, D. Comaniciu, V. Ramesh, and C. Regazzoni. ICIP (3), page 429-432. (2002)Decision Support System for Multiuser Remote Microscopy in Telepathology.D. Comaniciu, B. Georgescu, P. Meer, W. Chen, and D. Foran. CBMS, page 150-155. IEEE Computer Society, (1999)Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images.S. Liu, D. Xu, S. Zhou, S. Grbic, W. Cai, and D. Comaniciu. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)Mean Shift Analysis and Applications.D. Comaniciu, and P. Meer. ICCV, page 1197-1203. IEEE Computer Society, (1999)Marginal Space Learning for Medical Image Analysis - Efficient Detection and Segmentation of Anatomical StructuresY. Zheng, and D. Comaniciu. Springer, (2014)Class-Aware Adversarial Lung Nodule Synthesis In CT Images.J. Yang, S. Liu, S. Grbic, A. Setio, Z. Xu, E. Gibson, G. Chabin, B. Georgescu, A. Laine, and D. Comaniciu. ISBI, page 1348-1352. IEEE, (2019)Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals.O. Zettinig, T. Mansi, D. Neumann, B. Georgescu, S. Rapaka, P. Seegerer, E. Kayvanpour, F. Sedaghat-Hamedani, A. Amr, J. Haas and 6 other author(s). Medical Image Analysis, 18 (8): 1361-1376 (2014)An integrated framework for finite-element modeling of mitral valve biomechanics from medical images: Application to MitralClip intervention planning.T. Mansi, I. Voigt, B. Georgescu, X. Zheng, E. Mengue, M. Hackl, R. Ionasec, T. Noack, J. Seeburger, and D. Comaniciu. Medical Image Analysis, 16 (7): 1330-1346 (2012)Spine detection in CT and MR using iterated marginal space learning.B. Kelm, M. Wels, S. Zhou, S. Seifert, M. Sühling, Y. Zheng, and D. Comaniciu. Medical Image Analysis, 17 (8): 1283-1292 (2013)Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior.J. Feulner, S. Zhou, M. Hammon, J. Hornegger, and D. Comaniciu. Medical Image Analysis, 17 (2): 254-270 (2013)

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Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures.

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Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures.