Literatura académica sobre el tema "FMRI, motion, preprocessing, pipeline"
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Artículos de revistas sobre el tema "FMRI, motion, preprocessing, pipeline"
Kopal, Jakub, Anna Pidnebesna, David Tomeček, Jaroslav Tintěra y Jaroslav Hlinka. "Typicality of functional connectivity robustly captures motion artifacts in rs‐fMRI across datasets, atlases, and preprocessing pipelines". Human Brain Mapping 41, n.º 18 (2 de septiembre de 2020): 5325–40. http://dx.doi.org/10.1002/hbm.25195.
Texto completoChurchill, Nathan W., Anita Oder, Hervé Abdi, Fred Tam, Wayne Lee, Christopher Thomas, Jon E. Ween, Simon J. Graham y Stephen C. Strother. "Optimizing preprocessing and analysis pipelines for single-subject fMRI. I. Standard temporal motion and physiological noise correction methods". Human Brain Mapping 33, n.º 3 (31 de marzo de 2011): 609–27. http://dx.doi.org/10.1002/hbm.21238.
Texto completoMaximo, Jose, Frederic Briend, William Armstrong, Nina Kraguljac y Adrienne Lahti. "O2.2. EVALUATION OF THE RELATIONSHIP BETWEEN GLUTAMATE AND BRAIN CONNECTIVITY IN ANTIPSYCHOTIC-NAïVE FIRST EPISODE PATIENTS – A COMBINED MAGNETIC RESONANCE SPECTROSCOPY AND RESTING STATE FUNCTIONAL CONNECTIVITY MRI STUDY". Schizophrenia Bulletin 46, Supplement_1 (abril de 2020): S4. http://dx.doi.org/10.1093/schbul/sbaa028.007.
Texto completoJo, Hang Joon, Stephen J. Gotts, Richard C. Reynolds, Peter A. Bandettini, Alex Martin, Robert W. Cox y Ziad S. Saad. "Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI". Journal of Applied Mathematics 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/935154.
Texto completoNørgaard, Martin, Melanie Ganz, Claus Svarer, Vibe G. Frokjaer, Douglas N. Greve, Stephen C. Strother y Gitte M. Knudsen. "Different preprocessing strategies lead to different conclusions: A [11C]DASB-PET reproducibility study". Journal of Cerebral Blood Flow & Metabolism 40, n.º 9 (1 de octubre de 2019): 1902–11. http://dx.doi.org/10.1177/0271678x19880450.
Texto completoJaber, Hussain A., Hadeel K. Aljobouri, Ilyas Cankaya, Orhan M. Kocak y Oktay Algin. "Preparing fMRI Data for Postprocessing: Conversion Modalities, Preprocessing Pipeline, and Parametric and Nonparametric Approaches". IEEE Access 7 (2019): 122864–77. http://dx.doi.org/10.1109/access.2019.2937482.
Texto completoWang, Xian Lun, Li Li y Yu Xia Cui. "Detection and Location of Underwater Pipeline Based on Mathematical Morphology for an AUV". Key Engineering Materials 561 (julio de 2013): 591–96. http://dx.doi.org/10.4028/www.scientific.net/kem.561.591.
Texto completoFrew, Simon, Ahmad Samara, Hallee Shearer, Jeffrey Eilbott y Tamara Vanderwal. "Getting the nod: Pediatric head motion in a transdiagnostic sample during movie- and resting-state fMRI". PLOS ONE 17, n.º 4 (14 de abril de 2022): e0265112. http://dx.doi.org/10.1371/journal.pone.0265112.
Texto completoEldefrawy, Mahmoud, Scott A. King y Michael Starek. "Partial Scene Reconstruction for Close Range Photogrammetry Using Deep Learning Pipeline for Region Masking". Remote Sensing 14, n.º 13 (3 de julio de 2022): 3199. http://dx.doi.org/10.3390/rs14133199.
Texto completoAkdeniz, Gülsüm. "Complexity Analysis of Resting-State fMRI in Adult Patients with Attention Deficit Hyperactivity Disorder: Brain Entropy". Computational Intelligence and Neuroscience 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/3091815.
Texto completoTesis sobre el tema "FMRI, motion, preprocessing, pipeline"
NIGRI, ANNA. "Quality data assessment and improvement in pre-processing pipeline to minimize impact of spurious signals in functional magnetic imaging (fMRI)". Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2911412.
Texto completoSpring, Robyn. "Extracting FMRI Brain Patterns Significantly Related to Behavior via Individual Preprocessing Pipeline Optimization". Thesis, 2012. http://hdl.handle.net/1807/33517.
Texto completoCapítulos de libros sobre el tema "FMRI, motion, preprocessing, pipeline"
Ryou, Wonryong, Jiayu Chen, Mislav Balunovic, Gagandeep Singh, Andrei Dan y Martin Vechev. "Scalable Polyhedral Verification of Recurrent Neural Networks". En Computer Aided Verification, 225–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81685-8_10.
Texto completoNieto-Castanon, Alfonso. "FMRI minimal preprocessing pipeline". En Handbook of functional connectivity Magnetic Resonance Imaging methods in CONN, 3–16. Hilbert Press, 2020. http://dx.doi.org/10.56441/hilbertpress.2207.6599.
Texto completoNieto-Castanon, Alfonso. "FMRI denoising pipeline". En Handbook of functional connectivity Magnetic Resonance Imaging methods in CONN, 17–25. Hilbert Press, 2020. http://dx.doi.org/10.56441/hilbertpress.2207.6600.
Texto completoActas de conferencias sobre el tema "FMRI, motion, preprocessing, pipeline"
Meda, Shashwath, Mike Stevens, Erwin Boer, Catherine Boyle, Greg Book, Nicolas Ward y Godfrey Pearlson. "Brain-behavior relationships of simulated naturalistic automobile driving under the influence of acute cannabis intoxication: A double-blind, placebo-controlled study". En 2022 Annual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2022. http://dx.doi.org/10.26828/cannabis.2022.02.000.32.
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