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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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Investigation into local white matter abnormality in emotional processing and sensorimotor areas using an automatically annotated fiber clustering in major depressive disorder.Y. Wu, F. Zhang, N. Makris, Y. Ning, I. Norton, S. She, H. Peng, Y. Rathi, Y. Feng, H. Wu and 1 other author(s). NeuroImage, (2018)A Statistical Modeling Approach for Tumor-Type Identification in Surgical Neuropathology Using Tissue Mass Spectrometry Imaging.B. Gholami, I. Norton, L. Eberlin, and N. Agar. IEEE J. Biomedical and Health Informatics, 17 (3): 734-744 (2013)An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan.F. Zhang, Y. Wu, I. Norton, L. Rigolo, Y. Rathi, N. Makris, and L. O'Donnell. NeuroImage, (2018)Recursive feature elimination for brain tumor classification using desorption electrospray ionization mass spectrometry imaging.B. Gholami, I. Norton, A. Tannenbaum, and N. Agar. EMBC, page 5258-5261. IEEE, (2012)Reconstruction and feature selection for desorption electrospray ionization mass spectroscopy imagery.Y. Gao, L. Zhu, I. Norton, N. Agar, and A. Tannenbaum. Medical Imaging: Image-Guided Procedures, volume 9036 of SPIE Proceedings, page 90360D. SPIE, (2014)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 and 19 other author(s). Medical Image Analysis, (2016)Bayesian characterization of uncertainty in intra-subject non-rigid registration.P. Risholm, F. Janoos, I. Norton, A. Golby, and W. III. Medical Image Analysis, 17 (5): 538-555 (2013)fMRI-DTI modeling via landmark distance atlases for prediction and detection of fiber tracts.L. O'Donnell, L. Rigolo, I. Norton, W. III, C. Westin, and A. Golby. NeuroImage, 60 (1): 456-470 (2012)Corticospinal tract modeling for neurosurgical planning by tracking through regions of peritumoral edema and crossing fibers using two-tensor unscented Kalman filter tractography.Z. Chen, Y. Tie, O. Olubiyi, F. Zhang, A. Mehrtash, L. Rigolo, P. Kahali, I. Norton, O. Pasternak, Y. Rathi and 2 other author(s). Int. J. Comput. Assist. Radiol. Surg., 11 (8): 1475-1486 (2016)The Fiber Laterality Histogram: A New Way to Measure White Matter Asymmetry.L. O'Donnell, C. Westin, I. Norton, S. Whalen, L. Rigolo, R. Propper, and A. Golby. MICCAI (2), volume 6362 of Lecture Notes in Computer Science, page 225-232. Springer, (2010)

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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.