Replication and generalization in applied neuroimaging
暂无分享,去创建一个
Pratik Mukherjee | Garikoitz Lerma-Usabiaga | Zhimei Ren | Michael L. Perry | Brian A. Wandell | B. Wandell | G. Lerma-Usabiaga | P. Mukherjee | Michael L. Perry | Zhimei Ren
[1] T. Ellis,et al. A New Initiative. , 2017, Water environment research.
[2] Essa Yacoub,et al. The Lifespan Human Connectome Project in Aging: An overview , 2019, NeuroImage.
[3] Stamatios N. Sotiropoulos,et al. Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes , 2015, NeuroImage.
[4] R. Peng. Reproducible Research in Computational Science , 2011, Science.
[5] Steen Moeller,et al. The Human Connectome Project's neuroimaging approach , 2016, Nature Neuroscience.
[6] Stephen Senn,et al. Statistical pitfalls of personalized medicine , 2018, Nature.
[7] Timothy O. Laumann,et al. Informatics and Data Mining Tools and Strategies for the Human Connectome Project , 2011, Front. Neuroinform..
[8] Joshua Ng,et al. Microstructural correlations of white matter tracts in the human brain , 2010, NeuroImage.
[9] Paul M. Thompson,et al. A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: an ENIGMA rs-fMRI protocol , 2018, Brain Imaging and Behavior.
[10] Elizabeth Tipton,et al. How Generalizable Is Your Experiment? An Index for Comparing Experimental Samples and Populations , 2014 .
[11] Robert I. Reid,et al. THE ADNI3 DIFFUSION MRI PROTOCOL: BASIC + ADVANCED , 2017, Alzheimer's & Dementia.
[12] Jan Sijbers,et al. Denoising of diffusion MRI using random matrix theory , 2016, NeuroImage.
[13] Mark Jenkinson,et al. The minimal preprocessing pipelines for the Human Connectome Project , 2013, NeuroImage.
[14] Derek K. Jones,et al. Symmetries in human brain language pathways correlate with verbal recall , 2007, Proceedings of the National Academy of Sciences.
[15] Stefan Skare,et al. How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging , 2003, NeuroImage.
[16] Jerry L. Prince,et al. Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T , 2007, NeuroImage.
[17] Patrick B. Ryan,et al. Simulation-based Evaluation of the Generalizability Index for Study Traits , 2015, AMIA.
[18] Thomas E. Nichols,et al. Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects , 2018, NeuroImage.
[19] Paul M. Thompson,et al. Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3 , 2018, bioRxiv.
[20] F. Goodsaid,et al. Translational Medicine and the Value of Biomarker Qualification , 2010, Science Translational Medicine.
[21] Stamatios N. Sotiropoulos,et al. An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging , 2016, NeuroImage.
[22] Max A. Viergever,et al. Reducing variability in along-tract analysis with diffusion profile realignment⋆ , 2019, bioRxiv.
[23] Max A. Viergever,et al. Reducing variability in along-tract analysis with diffusion profile realignment , 2019, NeuroImage.
[24] Anton Nekrutenko,et al. Ten Simple Rules for Reproducible Computational Research , 2013, PLoS Comput. Biol..
[25] B. Wandell,et al. Lifespan maturation and degeneration of human brain white matter , 2014, Nature Communications.
[26] Richard J. Shavelson,et al. Generalizability Theory: A Primer , 1991 .
[27] S. A. Wijtenburg,et al. Reproducibility of tract‐based white matter microstructural measures using the ENIGMA‐DTI protocol , 2017, Brain and behavior.
[28] Michael L. Perry,et al. Reproducible Tract Profiles (RTP): from diffusion MRI acquisition to publication , 2019 .
[29] Victoria Stodden,et al. Implementing Reproducible Research , 2018 .
[30] Marco Rovaris,et al. Diffusion tensor MR imaging. , 2009, Neuroimaging clinics of North America.
[31] Joshua Carp,et al. On the Plurality of (Methodological) Worlds: Estimating the Analytic Flexibility of fMRI Experiments , 2012, Front. Neurosci..
[32] Jelle Veraart,et al. Diffusion MRI noise mapping using random matrix theory , 2016, Magnetic resonance in medicine.
[33] C. Lebel,et al. Lateralization of the arcuate fasciculus from childhood to adulthood and its relation to cognitive abilities in children , 2009, Human brain mapping.
[34] Susumu Mori,et al. Effects of b-value and echo time on magnetic resonance diffusion tensor imaging-derived parameters at 1.5 t: A voxel-wise study , 2013 .
[35] Brian B. Avants,et al. N4ITK: Improved N3 Bias Correction , 2010, IEEE Transactions on Medical Imaging.
[36] M. Baker. 1,500 scientists lift the lid on reproducibility , 2016, Nature.
[37] T. Yarkoni,et al. Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning , 2017, Perspectives on psychological science : a journal of the Association for Psychological Science.
[38] D. Schnyer,et al. Toward Precision and Reproducibility of Diffusion Tensor Imaging: A Multicenter Diffusion Phantom and Traveling Volunteer Study , 2016, American Journal of Neuroradiology.
[39] Lex Nederbragt,et al. Good enough practices in scientific computing , 2016, PLoS Comput. Biol..
[40] Brian A. Wandell,et al. Anatomical Properties of the Arcuate Fasciculus Predict Phonological and Reading Skills in Children , 2011, Journal of Cognitive Neuroscience.
[41] J. Ioannidis,et al. Meta-analysis methods for genome-wide association studies and beyond , 2013, Nature Reviews Genetics.
[42] Richard Mayeux,et al. Biomarkers: Potential uses and limitations , 2004 .
[43] Brian A. Wandell,et al. Ensemble Tractography , 2016, PLoS Comput. Biol..
[44] B. Wandell,et al. Tract Profiles of White Matter Properties: Automating Fiber-Tract Quantification , 2012, PloS one.
[45] S. Naylor,et al. Biomarkers: current perspectives and future prospects , 2003, Expert review of molecular diagnostics.
[46] Satrajit S. Ghosh,et al. Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging , 2018, Front. Neuroinform..
[47] Essa Yacoub,et al. The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5–21 year olds , 2018, NeuroImage.
[48] Bibek Dhital,et al. Gibbs‐ringing artifact removal based on local subvoxel‐shifts , 2015, Magnetic resonance in medicine.
[49] Thomas E. Nichols,et al. Scanning the horizon: towards transparent and reproducible neuroimaging research , 2016, Nature Reviews Neuroscience.
[50] A. Malhotra,et al. Integration of routine QA data into mega‐analysis may improve quality and sensitivity of multisite diffusion tensor imaging studies , 2018, Human Brain Mapping.
[51] Hans Ekkehard Plesser,et al. Reproducibility vs. Replicability: A Brief History of a Confused Terminology , 2018, Front. Neuroinform..
[52] Jerry L Prince,et al. Effects of signal‐to‐noise ratio on the accuracy and reproducibility of diffusion tensor imaging–derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T , 2007, Journal of magnetic resonance imaging : JMRI.
[53] F. Collins,et al. A new initiative on precision medicine. , 2015, The New England journal of medicine.
[54] Pratik Mukherjee,et al. Magnetic resonance imaging improves 3‐month outcome prediction in mild traumatic brain injury , 2012, Annals of neurology.
[55] Derek K. Jones,et al. “Squashing peanuts and smashing pumpkins”: How noise distorts diffusion‐weighted MR data , 2004, Magnetic resonance in medicine.
[56] Prasad Patil,et al. A statistical definition for reproducibility and replicability , 2016, bioRxiv.
[57] R. Henry,et al. Diffusion Tensor MR Imaging and Fiber Tractography: Theoretic Underpinnings , 2008, American Journal of Neuroradiology.
[58] L. Simpson. Report on Certain Enteric Fever Inoculation Statistics , 1904, British medical journal.
[59] Carlo Pierpaoli,et al. Analysis of the effects of noise, DWI sampling, and value of assumed parameters in diffusion MRI models , 2017, Magnetic resonance in medicine.
[60] R. Henry,et al. Diffusion Tensor MR Imaging and Fiber Tractography: Technical Considerations , 2008, American Journal of Neuroradiology.
[61] John P. A. Ioannidis,et al. What does research reproducibility mean? , 2016, Science Translational Medicine.
[62] Ariel Rokem,et al. Evaluating the Accuracy of Diffusion MRI Models in White Matter , 2015, PloS one.
[63] Nigel O'Brian,et al. Generalizability Theory I , 2003 .