{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T12:59:46Z","timestamp":1768741186590,"version":"3.49.0"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,5,4]],"date-time":"2019-05-04T00:00:00Z","timestamp":1556928000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,5,4]],"date-time":"2019-05-04T00:00:00Z","timestamp":1556928000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["P41EB015922"],"award-info":[{"award-number":["P41EB015922"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["U54EB020406"],"award-info":[{"award-number":["U54EB020406"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000062","name":"National Institute of Diabetes and Digestive and Kidney Diseases","doi-asserted-by":"publisher","award":["P30DK089503"],"award-info":[{"award-number":["P30DK089503"]}],"id":[{"id":"10.13039\/100000062","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["P30DK089503"],"award-info":[{"award-number":["P30DK089503"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000056","name":"National Institute of Nursing Research","doi-asserted-by":"publisher","award":["P20NR015331"],"award-info":[{"award-number":["P20NR015331"]}],"id":[{"id":"10.13039\/100000056","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neuroinform"],"published-print":{"date-parts":[[2020,1]]},"DOI":"10.1007\/s12021-019-09426-x","type":"journal-article","created":{"date-parts":[[2019,5,3]],"date-time":"2019-05-03T23:02:57Z","timestamp":1556924577000},"page":"59-70","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Imputation Strategy for Reliable Regional MRI Morphological Measurements"],"prefix":"10.1007","volume":"18","author":[{"given":"Shaina","family":"Sta. Cruz","sequence":"first","affiliation":[]},{"given":"Ivo D.","family":"Dinov","sequence":"additional","affiliation":[]},{"given":"Megan M.","family":"Herting","sequence":"additional","affiliation":[]},{"given":"Clio","family":"Gonz\u00e1lez-Zacar\u00edas","sequence":"additional","affiliation":[]},{"given":"Hosung","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Arthur W.","family":"Toga","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4483-5961","authenticated-orcid":false,"given":"Farshid","family":"Sepehrband","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,4]]},"reference":[{"issue":"1","key":"9426_CR1","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1002\/mpr.329","volume":"20","author":"Melissa J. Azur","year":"2011","unstructured":"Azur, M. J., Stuart, E. A., Frangakis, C., & Leaf, P. J. (2011). Multiple imputation by chained equations: What is it and how does it work? International Journal of Methods in Psychiatric Research, 20, 40\u201349.\u00a0\u00a0\nhttps:\/\/doi.org\/10.1002\/mpr.329\n\n.","journal-title":"International Journal of Methods in Psychiatric Research"},{"key":"9426_CR2","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1109\/TMI.2007.906087","volume":"27","author":"P Coupe","year":"2008","unstructured":"Coupe, P., Yger, P., Prima, S., Hellier, P., Kervrann, C., & Barillot, C. (2008). An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images. IEEE Transactions on Medical Imaging, 27, 425\u2013441. \nhttps:\/\/doi.org\/10.1109\/TMI.2007.906087\n\n.","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"9426_CR3","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1006\/nimg.1998.0395","volume":"9","author":"A Dale","year":"1999","unstructured":"Dale, A., Fischl, B., & Sereno, M. I. (1999). Cortical surface-based analysis: I. segmentation and surface reconstruction. Neuroimage, 9, 179\u2013194. \nhttps:\/\/doi.org\/10.1006\/nimg.1998.0395\n\n.","journal-title":"Neuroimage"},{"key":"9426_CR4","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1016\/j.neuroimage.2006.01.021","volume":"31","author":"RS Desikan","year":"2006","unstructured":"Desikan, R. S., S\u00e9gonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., Albert, M. S., & Killiany, R. J. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage, 31, 968\u2013980. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2006.01.021\n\n.","journal-title":"Neuroimage"},{"key":"9426_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-72347-1","volume-title":"Data science and predictive analytics: Biomedical and health applications using R","author":"ID Dinov","year":"2018","unstructured":"Dinov, I. D. (2018). Data science and predictive analytics: Biomedical and health applications using R. Berlin: Springer."},{"key":"9426_CR6","doi-asserted-by":"publisher","unstructured":"Dinov, I. D., Van Horn, J. D., Lozev, K. M., Magsipoc, R., Petrosyan, P., Liu, Z., MacKenzie-Graham, A., Eggert, P., Parker, D. S., & Toga, A. W. (2009). Efficient, distributed and interactive neuroimaging data analysis using the LONI pipeline. Frontiers in Neuroinformatics, 3, 22.\u00a0\nhttps:\/\/doi.org\/10.3389\/neuro.11.022.2009\n\n.","DOI":"10.3389\/neuro.11.022.2009"},{"key":"9426_CR7","doi-asserted-by":"publisher","first-page":"e13070","DOI":"10.1371\/journal.pone.0013070","volume":"5","author":"I Dinov","year":"2010","unstructured":"Dinov, I., Lozev, K., Petrosyan, P., Liu, Z., & Eggert, P. (2010). Neuroimaging study designs, computational analyses and data provenance using the LONI pipeline. PLoS One, 5, e13070. \nhttps:\/\/doi.org\/10.1371\/journal.pone.0013070\n\n.","journal-title":"PLoS One"},{"key":"9426_CR8","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1177\/1073858404263596","volume":"10","author":"M Eckert","year":"2004","unstructured":"Eckert, M. (2004). Neuroanatomical markers for dyslexia: A review of dyslexia structural imaging studies. Neuroscientist, 10, 362\u2013371. \nhttps:\/\/doi.org\/10.1177\/1073858404263596\n\n.","journal-title":"Neuroscientist"},{"key":"9426_CR9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0045081","volume":"7","author":"LD Eggert","year":"2012","unstructured":"Eggert, L. D., Sommer, J., Jansen, A., Kircher, T., & Konrad, C. (2012). Accuracy and reliability of automated gray matter segmentation pathways on real and simulated structural magnetic resonance images of the human brain. PLoS One, 7, e45081. \nhttps:\/\/doi.org\/10.1371\/journal.pone.0045081\n\n.","journal-title":"PLoS One"},{"key":"9426_CR10","unstructured":"Eskildsen, S., Coup\u00e9, P., Fonov, V., Ostergaard, L.R., Collins, L., 2011. Effect of non-local means denoising on cortical segmentation accuracy with FACE, in: Organization for Human Brain Mapping 2011 Annual Meeting."},{"issue":"2","key":"9426_CR11","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","volume":"62","author":"Bruce Fischl","year":"2012","unstructured":"Fischl, B. (2012). FreeSurfer. Neuroimage, 62, 774\u2013781.\u00a0\nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2012.01.021\n\n.","journal-title":"NeuroImage"},{"issue":"20","key":"9426_CR12","doi-asserted-by":"publisher","first-page":"11050","DOI":"10.1073\/pnas.200033797","volume":"97","author":"B. Fischl","year":"2000","unstructured":"Fischl, B., & Dale, A. M. (2000). Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proceedings of the National Academy of Sciences, 97, 11050\u201311055. \nhttps:\/\/doi.org\/10.1073\/pnas.200033797\n\n.","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"9426_CR13","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1006\/nimg.1998.0396","volume":"9","author":"B Fischl","year":"1999","unstructured":"Fischl, B., Sereno, M. I., & Dale, A. (1999). Cortical surface-based analysis: II: Inflation, flattening, and a surface-based coordinate system. Neuroimage, 9, 195\u2013207. \nhttps:\/\/doi.org\/10.1006\/nimg.1998.0396\n\n.","journal-title":"Neuroimage"},{"issue":"3","key":"9426_CR14","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/S0896-6273(02)00569-X","volume":"33","author":"Bruce Fischl","year":"2002","unstructured":"Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., Van Der Kouwe, A., Killiany, R., Kennedy, D., & Klaveness, S. (2002). Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain. Neuron, 33, 341\u2013355.\u00a0\nhttps:\/\/doi.org\/10.1016\/S0896-6273(02)00569-X\n\n.","journal-title":"Neuron"},{"key":"9426_CR15","doi-asserted-by":"publisher","first-page":"S69","DOI":"10.1016\/j.neuroimage.2004.07.016","volume":"23","author":"B Fischl","year":"2004","unstructured":"Fischl, B., Salat, D. H., van der Kouwe, A. J. W., Makris, N., S\u00e9gonne, F., Quinn, B. T., & Dale, A. M. (2004a). Sequence-independent segmentation of magnetic resonance images. Neuroimage, 23, S69\u2013S84. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2004.07.016\n\n.","journal-title":"Neuroimage"},{"key":"9426_CR16","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1093\/cercor\/bhg087","volume":"14","author":"B Fischl","year":"2004","unstructured":"Fischl, B., van der Kouwe, A., Destrieux, C., Halgren, E., S\u00e9gonne, F., Salat, D. H., Busa, E., Seidman, L. J., Goldstein, J., Kennedy, D., Caviness, V., Makris, N., Rosen, B., & Dale, A. M. (2004b). Automatically Parcellating the human cerebral cortex. Cerebral Cortex, 14, 11\u201322. \nhttps:\/\/doi.org\/10.1093\/cercor\/bhg087\n\n.","journal-title":"Cerebral Cortex"},{"key":"9426_CR17","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1002\/jmri.21434","volume":"28","author":"EL Gedamu","year":"2008","unstructured":"Gedamu, E. L., Collins, D. L., & Arnold, D. L. (2008). Automated quality control of brain MR images. Journal of Magnetic Resonance Imaging, 28, 308\u2013319. \nhttps:\/\/doi.org\/10.1002\/jmri.21434\n\n.","journal-title":"Journal of Magnetic Resonance Imaging"},{"key":"9426_CR18","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.chemolab.2014.02.007","volume":"134","author":"M.P. G\u00f3mez-Carracedo","year":"2014","unstructured":"G\u00f3mez-Carracedo, M. P., Andrade, J. M., L\u00f3pez-Mah\u00eda, P., Muniategui, S., & Prada, D. (2014). A practical comparison of single and multiple imputation methods to handle complex missing data in air quality datasets. Chemometrics and Intelligent Laboratory Systems, 134, 23\u201333.\u00a0\nhttps:\/\/doi.org\/10.1016\/j.chemolab.2014.02.007\n\n.","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"9426_CR19","unstructured":"Gondara, L., & Wang, K. (2017). Multiple imputation using deep denoising. arXiv preprint arXiv:1705.02737."},{"key":"9426_CR20","doi-asserted-by":"publisher","first-page":"549","DOI":"10.1146\/annurev.psych.58.110405.085530","volume":"60","author":"JW Graham","year":"2009","unstructured":"Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549\u2013576. \nhttps:\/\/doi.org\/10.1146\/annurev.psych.58.110405.085530\n\n.","journal-title":"Annual Review of Psychology"},{"key":"9426_CR21","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0038234","volume":"7","author":"EHBM Gronenschild","year":"2012","unstructured":"Gronenschild, E. H. B. M., Habets, P., Jacobs, H. I. L., Mengelers, R., Rozendaal, N., van Os, J., & Marcelis, M. (2012). The effects of FreeSurfer version, workstation type, and Macintosh operating system version on anatomical volume and cortical thickness measurements. PLoS One, 7, e38234. \nhttps:\/\/doi.org\/10.1371\/journal.pone.0038234\n\n.","journal-title":"PLoS One"},{"key":"9426_CR22","doi-asserted-by":"publisher","unstructured":"Hastie, T., Tibshirani, R., & Friedman, J. (2009). The elements of statistical learning. Springer Series in Statistics. \nhttps:\/\/doi.org\/10.1007\/b94608\n\n.","DOI":"10.1007\/b94608"},{"key":"9426_CR23","unstructured":"Hastie, T., Tibshirani, R., Balasubramanian, N., Chu, G., 2016. Impute: Imputation for microarray data. R package version 1.48. 0."},{"issue":"5","key":"9426_CR24","doi-asserted-by":"publisher","first-page":"2232","DOI":"10.1016\/j.rse.2007.10.009","volume":"112","author":"Andrew T. Hudak","year":"2008","unstructured":"Hudak, A. T., Crookston, N. L., Evans, J. S., Hall, D. E., & Falkowski, M. J. (2008). Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data. Remote Sensing of Environment, 112, 2232\u20132245.\u00a0\nhttps:\/\/doi.org\/10.1016\/j.rse.2007.10.009\n\n.","journal-title":"Remote Sensing of Environment"},{"key":"9426_CR25","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1016\/j.neuroimage.2019.01.014","volume":"189","author":"Eduard T. Klapwijk","year":"2019","unstructured":"Klapwijk, E. T., Van De Kamp, F., Van Der Meulen, M., Peters, S., & Wierenga, L. M. (2019). Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data. Neuroimage., 189, 116\u2013129.\u00a0\nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2019.01.014\n\n.","journal-title":"NeuroImage"},{"key":"9426_CR26","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1037\/adb0000015","volume":"29","author":"MR Lee","year":"2015","unstructured":"Lee, M. R., Bartholow, B. D., McCarthy, D. M., Pedersen, S. L., & Sher, K. J. (2015). Two alternative approaches to conventional person-mean imputation scoring of the self-rating of the effects of alcohol scale (SRE). Psychology of Addictive Behaviors, 29, 231\u2013236. \nhttps:\/\/doi.org\/10.1037\/adb0000015\n\n.","journal-title":"Psychology of Addictive Behaviors"},{"key":"9426_CR27","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1016\/j.acra.2012.03.006","volume":"19","author":"X Long","year":"2012","unstructured":"Long, X., Liao, W., Jiang, C., Liang, D., Qiu, B., & Zhang, L. (2012). Healthy aging: an automatic analysis of global and regional morphological alterations of human brain. Academic Radiology, 19, 785\u2013793. \nhttps:\/\/doi.org\/10.1016\/j.acra.2012.03.006\n\n.","journal-title":"Academic Radiology"},{"key":"9426_CR28","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1002\/hbm.20187","volume":"27","author":"E Luders","year":"2006","unstructured":"Luders, E., Narr, K. L., Thompson, P. M., Rex, D. E., Woods, R. P., DeLuca, H., Jancke, L., & Toga, A. W. (2006). Gender effects on cortical thickness and the influence of scaling. Human Brain Mapping, 27, 314\u2013324. \nhttps:\/\/doi.org\/10.1002\/hbm.20187\n\n.","journal-title":"Human Brain Mapping"},{"key":"9426_CR29","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1016\/j.neuroimage.2017.02.069","volume":"170","author":"C Makowski","year":"2017","unstructured":"Makowski, C., Beland, S., Kostopoulos, P., Bhagwat, N., Devenyi, G. A., Malla, A. K., Joober, R., Lepage, M., & Chakravarty, M. M. (2017). Evaluating accuracy of striatal, pallidal, and thalamic segmentation methods: Comparing automated approaches to manual delineation. Neuroimage, 170, 182\u2013198. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2017.02.069\n\n.","journal-title":"Neuroimage"},{"issue":"1","key":"9426_CR30","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1002\/jmri.22003","volume":"31","author":"Jos\u00e9 V. Manj\u00f3n","year":"2009","unstructured":"Manj\u00f3n, J. V., Coup\u00e9, P., Mart\u00ed-Bonmat\u00ed, L., Collins, D. L., & Robles, M. (2010). Adaptive non-local means denoising of MR images with spatially varying noise levels. Journal of Magnetic Resonance Imaging, 31, 192\u2013203.\u00a0\nhttps:\/\/doi.org\/10.1002\/jmri.22003\n\n.","journal-title":"Journal of Magnetic Resonance Imaging"},{"key":"9426_CR31","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-2227-2","volume-title":"Low Rank Approximation: Algorithms, Implementation, Applications","author":"I Markovsky","year":"2012","unstructured":"Markovsky, I., & Usevich, K. (2012). Low Rank Approximation: Algorithms, Implementation, Applications. London: Springer."},{"key":"9426_CR32","first-page":"2287","volume":"11","author":"R Mazumder","year":"2010","unstructured":"Mazumder, R., Hastie, T., & Tibshirani, R. (2010). Spectral regularization algorithms for learning large incomplete matrices. Journal of Machine Learning Research, 11, 2287\u20132322.","journal-title":"Journal of Machine Learning Research"},{"key":"9426_CR33","doi-asserted-by":"publisher","first-page":"1051","DOI":"10.3233\/JAD-150335","volume":"48","author":"SW Moon","year":"2015","unstructured":"Moon, S. W., Dinov, I. D., Kim, J., Zamanyan, A., Hobel, S., Thompson, P. M., & Toga, A. W. (2015). Structural neuroimaging genetics interactions in Alzheimer\u2019s disease. Journal of Alzheimer's Disease, 48, 1051\u20131063. \nhttps:\/\/doi.org\/10.3233\/JAD-150335\n\n.","journal-title":"Journal of Alzheimer's Disease"},{"key":"9426_CR34","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1016\/j.neuroimage.2008.12.033","volume":"45","author":"RA Morey","year":"2009","unstructured":"Morey, R. A., Petty, C. M., Xu, Y., Hayes, J. P., Wagner, H. R., 2nd, Lewis, D. V., LaBar, K. S., Styner, M., & McCarthy, G. (2009). A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes. Neuroimage, 45, 855\u2013866. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2008.12.033\n\n.","journal-title":"Neuroimage"},{"key":"9426_CR35","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1002\/mrm.21992","volume":"62","author":"B Mortamet","year":"2009","unstructured":"Mortamet, B., Bernstein, M. A., Jack, C. R. J., Gunter, J. L., Ward, C., Britson, P. J., Meuli, R., Thiran, J.-P., & Krueger, G. (2009). Automatic quality assessment in structural brain magnetic resonance imaging. Magnetic Resonance in Medicine, 62, 365\u2013372. \nhttps:\/\/doi.org\/10.1002\/mrm.21992\n\n.","journal-title":"Magnetic Resonance in Medicine"},{"key":"9426_CR36","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1002\/hbm.23853","volume":"39","author":"DL Perez","year":"2018","unstructured":"Perez, D. L., Matin, N., Williams, B., Tanev, K., Makris, N., LaFrance, W. C. J., & Dickerson, B. C. (2018). Cortical thickness alterations linked to somatoform and psychological dissociation in functional neurological disorders. Human Brain Mapping, 39, 428\u2013439. \nhttps:\/\/doi.org\/10.1002\/hbm.23853\n\n.","journal-title":"Human Brain Mapping"},{"key":"9426_CR37","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-02584-5","volume":"7","author":"G Perlaki","year":"2017","unstructured":"Perlaki, G., Horvath, R., Nagy, S. A., Bogner, P., Doczi, T., Janszky, J., & Orsi, G. (2017). Comparison of accuracy between FSL\u2019s FIRST and Freesurfer for caudate nucleus and putamen segmentation. Scientific Reports, 7, 2418. \nhttps:\/\/doi.org\/10.1038\/s41598-017-02584-5\n\n.","journal-title":"Scientific Reports"},{"key":"9426_CR38","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.neuroimage.2011.02.076","volume":"57","author":"M Reuter","year":"2011","unstructured":"Reuter, M., & Fischl, B. (2011). Avoiding asymmetry-induced Bias in longitudinal image processing. Neuroimage, 57, 19\u201321. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2011.02.076\n\n.","journal-title":"Neuroimage"},{"key":"9426_CR39","doi-asserted-by":"publisher","first-page":"1181","DOI":"10.1016\/j.neuroimage.2010.07.020","volume":"53","author":"M Reuter","year":"2010","unstructured":"Reuter, M., Rosas, H. D., & Fischl, B. (2010). Highly accurate inverse consistent registration: A robust approach. Neuroimage, 53, 1181\u20131196. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2010.07.020\n\n.","journal-title":"Neuroimage"},{"key":"9426_CR40","doi-asserted-by":"publisher","first-page":"1402","DOI":"10.1016\/j.neuroimage.2012.02.084","volume":"61","author":"M Reuter","year":"2012","unstructured":"Reuter, M., Schmansky, N. J., Rosas, H. D., & Fischl, B. (2012). Within-subject template estimation for unbiased longitudinal image analysis. Neuroimage, 61, 1402\u20131418. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2012.02.084\n\n.","journal-title":"Neuroimage"},{"key":"9426_CR41","volume-title":"Multiple imputation for nonresponse in surveys","author":"DB Rubin","year":"2004","unstructured":"Rubin, D. B. (2004). Multiple imputation for nonresponse in surveys. Hoboken: John Wiley & Sons."},{"key":"9426_CR42","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1016\/j.neuroimage.2013.07.064","volume":"86","author":"TD Satterthwaite","year":"2014","unstructured":"Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Loughead, J., Prabhakaran, K., Calkins, M. E., Hopson, R., Jackson, C., Keefe, J., Riley, M., Mentch, F. D., Sleiman, P., Verma, R., Davatzikos, C., Hakonarson, H., Gur, R. C., & Gur, R. E. (2014). Neuroimaging of the Philadelphia neurodevelopmental cohort. Neuroimage, 86, 544\u2013553. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2013.07.064\n\n.","journal-title":"Neuroimage"},{"key":"9426_CR43","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.1016\/j.neuroimage.2015.03.056","volume":"124","author":"TD Satterthwaite","year":"2016","unstructured":"Satterthwaite, T. D., Connolly, J. J., Ruparel, K., Calkins, M. E., Jackson, C., Elliott, M. A., Roalf, D. R., Hopsona, R., Prabhakaran, K., Behr, M., Qiu, H., Mentch, F. D., Chiavacci, R., Sleiman, P. M. A., Gur, R. C., Hakonarson, H., & Gur, R. E. (2016). The Philadelphia neurodevelopmental cohort: A publicly available resource for the study of normal and abnormal brain development in youth. Neuroimage, 124, 1115\u20131119. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2015.03.056\n\n.","journal-title":"Neuroimage"},{"key":"9426_CR44","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1177\/096228029900800102","volume":"8","author":"JL Schafer","year":"1999","unstructured":"Schafer, J. L. (1999). Multiple imputation: a primer. Statistical Methods in Medical Research, 8, 3\u201315. \nhttps:\/\/doi.org\/10.1177\/096228029900800102\n\n.","journal-title":"Statistical Methods in Medical Research"},{"key":"9426_CR45","doi-asserted-by":"publisher","first-page":"1060","DOI":"10.1016\/j.neuroimage.2004.03.032","volume":"22","author":"F Segonne","year":"2004","unstructured":"Segonne, F., Dale, A. M., Busa, E., Glessner, M., Salat, D., Hahn, H. K., & Fischl, B. (2004). A hybrid approach to the skull stripping problem in MRI. Neuroimage, 22, 1060\u20131075. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2004.03.032\n\n.","journal-title":"Neuroimage"},{"issue":"4","key":"9426_CR46","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1109\/TMI.2006.887364","volume":"26","author":"Florent Segonne","year":"2007","unstructured":"Segonne, F., Pacheco, J., & Fischl, B. (2007). Geometrically accurate topology-correction of cortical surfaces using nonseparating loops. IEEE Transactions on Medical Imaging, 26, 518\u2013529. \nhttps:\/\/doi.org\/10.1109\/TMI.2006.887364","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"9426_CR47","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.neuroimage.2018.01.065","volume":"172","author":"Farshid Sepehrband","year":"2018","unstructured":"Sepehrband, F., Lynch, K. M., Cabeen, R. P., Gonzalez-Zacarias, C., Zhao, L., D\u2019Arcy, M., Kesselman, C., Herting, M. M., Dinov, I. D., & Toga, A. W. (2018). Neuroanatomical morphometric characterization of sex differences in youth using statistical learning. Neuroimage, 172, 217\u2013227.\u00a0\nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2018.01.065\n\n.","journal-title":"NeuroImage"},{"key":"9426_CR48","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1093\/aje\/kwt312","volume":"179","author":"AD Shah","year":"2014","unstructured":"Shah, A. D., Bartlett, J. W., Carpenter, J., Nicholas, O., & Hemingway, H. (2014). Comparison of random forest and parametric imputation models for imputing missing data using MICE: A CALIBER study. American Journal of Epidemiology, 179, 764\u2013774. \nhttps:\/\/doi.org\/10.1093\/aje\/kwt312\n\n.","journal-title":"American Journal of Epidemiology"},{"key":"9426_CR49","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1109\/42.668698","volume":"17","author":"JG Sled","year":"1998","unstructured":"Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998). A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Transactions on Medical Imaging, 17, 87\u201397. \nhttps:\/\/doi.org\/10.1109\/42.668698\n\n.","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"1","key":"9426_CR50","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1093\/bioinformatics\/btr597","volume":"28","author":"D. J. Stekhoven","year":"2011","unstructured":"Stekhoven, D. J., & B\u00fchlmann, P. (2011). MissForest\u2014Non-parametric missing value imputation for mixed-type data. Bioinformatics, 28, 112\u2013118.\u00a0\nhttps:\/\/doi.org\/10.1093\/bioinformatics\/btr597\n\n.","journal-title":"Bioinformatics"},{"key":"9426_CR51","doi-asserted-by":"publisher","first-page":"1126","DOI":"10.1093\/jamia\/ocv077","volume":"22","author":"AW Toga","year":"2015","unstructured":"Toga, A. W., Foster, I., Kesselman, C., Madduri, R., Chard, K., Deutsch, E. W., Price, N. D., Glusman, G., Heavner, B. D., Dinov, I. D., Ames, J., Van Horn, J., Kramer, R., & Hood, L. (2015). Big biomedical data as the key resource for discovery science. Journal of the American Medical Informatics Association, 22, 1126\u20131131. \nhttps:\/\/doi.org\/10.1093\/jamia\/ocv077\n\n.","journal-title":"Journal of the American Medical Informatics Association"},{"key":"9426_CR52","doi-asserted-by":"publisher","first-page":"545","DOI":"10.3390\/genes3030545","volume":"3","author":"F Torri","year":"2012","unstructured":"Torri, F., Dinov, I. D., Zamanyan, A., Hobel, S., Genco, A., Petrosyan, P., Clark, A. P., Liu, Z., Eggert, P., Pierce, J., Knowles, J. A., Ames, J., Kesselman, C., Toga, A. W., Potkin, S. G., Vawter, M. P., & Macciardi, F. (2012). Next generation sequence analysis and computational genomics using graphical pipeline workflows. Genes (Basel), 3, 545\u2013575. \nhttps:\/\/doi.org\/10.3390\/genes3030545\n\n.","journal-title":"Genes (Basel)"},{"key":"9426_CR53","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1016\/j.neuroimage.2014.05.044","volume":"99","author":"NJ Tustison","year":"2014","unstructured":"Tustison, N. J., Cook, P. A., Klein, A., Song, G., Das, S. R., Duda, J. T., Kandel, B. M., van Strien, N., Stone, J. R., Gee, J. C., & Avants, B. B. (2014). Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements. Neuroimage, 99, 166\u2013179. \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2014.05.044\n\n.","journal-title":"Neuroimage"},{"key":"9426_CR54","unstructured":"van Buuren, S., & Groothuis-Oudshoorn, K. (2010). Mice: Multivariate imputation by chained equations in R. Journal of Statistical Software, 1\u201368."},{"key":"9426_CR55","doi-asserted-by":"publisher","first-page":"2027","DOI":"10.1002\/hbm.23154","volume":"37","author":"N Vijayakumar","year":"2016","unstructured":"Vijayakumar, N., Allen, N. B., Youssef, G., Dennison, M., Yucel, M., Simmons, J. G., & Whittle, S. (2016). Brain development during adolescence: A mixed-longitudinal investigation of cortical thickness, surface area, and volume. Human Brain Mapping, 37, 2027\u20132038. \nhttps:\/\/doi.org\/10.1002\/hbm.23154\n\n.","journal-title":"Human Brain Mapping"},{"key":"9426_CR56","doi-asserted-by":"publisher","first-page":"e002847","DOI":"10.1136\/bmjopen-2013-002847","volume":"3","author":"AK Waljee","year":"2013","unstructured":"Waljee, A. K., Mukherjee, A., Singal, A. G., Zhang, Y., Warren, J., Balis, U., Marrero, J., Zhu, J., & Higgins, P. D. (2013). Comparison of imputation methods for missing laboratory data in medicine. BMJ Open, 3, e002847. \nhttps:\/\/doi.org\/10.1136\/bmjopen-2013-002847\n\n.","journal-title":"BMJ Open"},{"issue":"5","key":"9426_CR57","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1007\/s11682-018-9951-8","volume":"13","author":"Abigail B. Waters","year":"2018","unstructured":"Waters, A.B., Mace, R.A., Sawyer, K.S., & Gansler, D. A. (2018). Identifying errors in Freesurfer automated skull stripping and the incremental utility of manual intervention. Brain imaging and behavior, 1-11. \nhttps:\/\/doi.org\/10.1007\/s11682-018-9951-8\n\n.","journal-title":"Brain Imaging and Behavior"},{"key":"9426_CR58","doi-asserted-by":"publisher","unstructured":"Wiest-Daessl\u00e9, N., Prima, S., Coup\u00e9, P., Morrissey, S.P., Barillot, C., 2008. Rician noise removal by non-local means filtering for low signal-to-noise ratio MRI: Applications to DT-MRI, in: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics). \nhttps:\/\/doi.org\/10.1007\/978-3-540-85990-1-21\n\n.","DOI":"10.1007\/978-3-540-85990-1-21"}],"container-title":["Neuroinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-019-09426-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12021-019-09426-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-019-09426-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T16:20:50Z","timestamp":1589732450000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12021-019-09426-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,4]]},"references-count":58,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,1]]}},"alternative-id":["9426"],"URL":"https:\/\/doi.org\/10.1007\/s12021-019-09426-x","relation":{},"ISSN":["1539-2791","1559-0089"],"issn-type":[{"value":"1539-2791","type":"print"},{"value":"1559-0089","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5,4]]},"assertion":[{"value":"4 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}