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Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.

T. Kapur, S. Pieper, A. Fedorov, J. Fillion-Robin, M. Halle, L. O'Donnell, A. Lasso, T. Ungi, C. Pinter, J. Finet, S. Pujol, J. Jayender, J. Tokuda, I. Norton, R. Estépar, D. Gering, H. Aerts, M. Jakab, N. Hata, L. Ibanez, D. Blezek, J. Miller, S. Aylward, W. Grimson, G. Fichtinger, W. III, W. Lorensen, W. Schroeder, and R. Kikinis. Medical Image Analysis, (2016)

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Non-Rigid Registration for brain MRI: faster and cheaper.Y. Liu, A. Fedorov, R. Kikinis, and N. Chrisochoides. I. J. Functional Informatics and Personalised Medicine, 3 (1): 48-57 (2010)Application of Tolerance Limits to the Characterization of Image Registration Performance.A. Fedorov, W. III, R. Kikinis, C. Tempany, and M. Vangel. IEEE Trans. Med. Imaging, 33 (7): 1541-1550 (2014)An ITK implementation of a physics-based non-rigid registration method for brain deformation in image-guided neurosurgery.Y. Liu, A. Kot, F. Drakopoulos, C. Yao, A. Fedorov, A. Enquobahrie, O. Clatz, and N. Chrisochoides. Front. Neuroinform., (2014)Evaluation of Brain MRI Alignment with the Robust Hausdorff Distance Measures.A. Fedorov, E. Billet, M. Prastawa, G. Gerig, A. Radmanesh, S. Warfield, R. Kikinis, and N. Chrisochoides. ISVC (1), volume 5358 of Lecture Notes in Computer Science, page 594-603. Springer, (2008)Communication Support for Dynamic Load Balancing of Irregular Adaptive Applications.A. Fedorov, and N. Chrisochoides. ICPP Workshops, page 555-562. IEEE Computer Society, (2004)Parallel decoupled terminal-edge bisection method for 3D mesh generation.M. Rivara, C. Calderon, A. Fedorov, and N. Chrisochoides. Eng. Comput. (Lond.), 22 (2): 111-119 (2006)Tetrahedral Mesh Generation for Non-rigid Registration of Brain MRI: Analysis of the Requirements and Evaluation of Solutions.A. Fedorov, and N. Chrisochoides. IMR, page 55-72. Springer, (2008)Toward improved tumor targeting for image guided neurosurgery with intra-operative parametric search using distributed and grid computing.A. Fedorov, and N. Chrisochoides. IPDPS, page 1-5. IEEE, (2008)GBM Volumetry using the 3D Slicer Medical Image Computing PlatformJ. Egger, T. Kapur, A. Fedorov, S. Pieper, J. Miller, H. Veeraraghavan, B. Freisleben, A. Golby, C. Nimsky, and R. Kikinis. CoRR, (2013)Multi-slice-to-volume registration for MRI-guided transperineal prostate biopsy.H. Xu, A. Lasso, A. Fedorov, K. Tuncali, C. Tempany, and G. Fichtinger. Int. J. Comput. Assist. Radiol. Surg., 10 (5): 563-572 (2015)

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Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.

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Increasing the impact of medical image computing using community-based open-access hackathons: The NA-MIC and 3D Slicer experience.