Magnetic Resonance Imaging

Displaying 51 - 82 of 82CSV
McCarthy, C., Tinsley, G. M., Bosy-Westphal, A., Müller, M. J., Shepherd, J., Gallagher, D., & Heymsfield, S. B. (2023). Total and regional appendicular skeletal muscle mass prediction from dual-energy X-ray absorptiometry body composition models. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-29827-y
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Tran, C. V., Yang, H. R., Ahmad, Z. Y., Utukuri, P. S., Quarterman, P., Fung, M., Lignelli, A., & Wong, T. T. (2023). Utility of Zero-Echo time sequence as an adjunct for MR evaluation of degenerative disease in the cervical spine. Skeletal Radiology, 53(5), 899–908. https://doi.org/10.1007/s00256-023-04507-0
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Juergensen, S., Liu, J., Xu, D., Zhao, Y., Moon‐Grady, A. J., Glenn, O., McQuillen, P., & Peyvandi, S. (2023). Fetal circulatory physiology and brain development in complex congenital heart disease: A multi‐modal imaging study. Prenatal Diagnosis, 44(6–7), 856–864. Portico. https://doi.org/10.1002/pd.6450
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Poojar, P., Qian, E., Jin, Z., Fung, M., Maddocks, A. B., & Geethanath, S. (2023). Tailored magnetic resonance fingerprinting of post-operative pediatric brain tumor patients. Clinical Imaging, 102, 53–59. https://doi.org/10.1016/j.clinimag.2023.07.004
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Rapuano, K. M., Tejavibulya, L., Dinc, E. N., Li, A., Davis, H., Korn, R., Leibel, R. L., Walsh, B. T., Ranzenhofer, L., Rosenbaum, M., Casey, B. J., & Mayer, L. (2023). Heightened sensitivity to high-calorie foods in children at risk for obesity: insights from behavior, neuroimaging, and genetics. Brain Imaging and Behavior, 17(5), 461–470. https://doi.org/10.1007/s11682-023-00773-7
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Theilenberg, S., Shang, Y., Ghazouani, J., Kumaragamage, C., Nixon, T. W., McIntyre, S., Vaughan, J. T., Parkinson, B., Garwood, M., de Graaf, R. A., & Juchem, C. (2023). Design and realization of a multi‐coil array for B0 field control in a compact 1.5T head‐only MRI scanner. Magnetic Resonance in Medicine, 90(3), 1228–1241. Portico. https://doi.org/10.1002/mrm.29692
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Telesford, Q. K., Gonzalez-Moreira, E., Xu, T., Tian, Y., Colcombe, S. J., Cloud, J., Russ, B. E., Falchier, A., Nentwich, M., Madsen, J., Parra, L. C., Schroeder, C. E., Milham, M. P., & Franco, A. R. (2023). An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI. Scientific Data, 10(1). https://doi.org/10.1038/s41597-023-02458-8
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Argiris, G., Stern, Y., Lee, S., Ryu, H., & Habeck, C. (2023). Simple topological task-based functional connectivity features predict longitudinal behavioral change of fluid reasoning in the RANN cohort. NeuroImage, 277, 120237. https://doi.org/10.1016/j.neuroimage.2023.120237
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Deyell, R. J., Desai, S., Gallivan, A., Lim, A., Sawyer, M. B., Heymsfield, S. B., Shen, W., & Baracos, V. E. (2023). Prediction of whole body composition utilizing cross-sectional abdominal imaging in pediatrics. European Journal of Clinical Nutrition, 77(6), 684–691. https://doi.org/10.1038/s41430-023-01272-0
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Spann, M. N., Wisnowski, J. L., Smyser, C. D., Howell, B., Dean, D. C., Ahtam, B., Gao, W., Huang, H., Nebel, M. B., Norton, E. S., Ouyang, M., Rajagopalan, V., Riggins, T., Saygin, Z. M., Scott, L., Smyser, C. D., Thomason, M. E., Wakschlag, L. S., Ahmad, S., … Zöllei, L. (2023). The Art, Science, and Secrets of Scanning Young Children. Biological Psychiatry, 93(10), 858–860. https://doi.org/10.1016/j.biopsych.2022.09.025
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Basavaraju, R., France, J., Sigmon, H. C., Girgis, R. R., Brucato, G., Lieberman, J. A., Small, S. A., & Provenzano, F. A. (2023). Increased parietal and occipital lobe gyrification predicts conversion to syndromal psychosis in a clinical high-risk cohort. Schizophrenia Research, 255, 246–255. https://doi.org/10.1016/j.schres.2023.03.027
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Roh, D. J., Boehme, A., Mamoon, R., Hooper, D., Cottarelli, A., Ji, R., Mao, E., Kumar, A., Carvalho Poyraz, F., Demel, S. L., Spektor, V., Carmona, J., Hod, E. A., Ironside, N., Gutierrez, J., Guo, J., Konofagou, E., Elkind, M. S. V., & Woo, D. (2023). Relationships of Hemoglobin Concentration, Ischemic Lesions, and Clinical Outcomes in Patients With Intracerebral Hemorrhage. Stroke, 54(4), 1021–1029. https://doi.org/10.1161/strokeaha.122.041410
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Pouwels, P. J. W., Vriend, C., Liu, F., de Joode, N. T., Otaduy, M. C. G., Pastorello, B., Robertson, F. C., Venkatasubramanian, G., Ipser, J., Lee, S., Batistuzzo, M. C., Hoexter, M. Q., Lochner, C., Miguel, E. C., Narayanaswamy, J. C., Rao, R., Janardhan Reddy, Y. C., Shavitt, R. G., Sheshachala, K., … van den Heuvel, O. A. (2022). Global multi‐center and multi‐modal magnetic resonance imaging study of obsessive‐compulsive disorder: Harmonization and monitoring of protocols in healthy volunteers and phantoms. International Journal of Methods in Psychiatric Research, 32(1). Portico. https://doi.org/10.1002/mpr.1931
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Jiménez-Balado, J., Corlier, F., Habeck, C., Stern, Y., & Eich, T. (2022). Effects of white matter hyperintensities distribution and clustering on late-life cognitive impairment. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-06019-8
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Sun, D., Rakesh, G., Haswell, C. C., Logue, M., Baird, C. L., O’Leary, E. N., Cotton, A. S., Xie, H., Tamburrino, M., Chen, T., Dennis, E. L., Jahanshad, N., Salminen, L. E., Thomopoulos, S. I., Rashid, F., Ching, C. R. K., Koch, S. B. J., Frijling, J. L., Nawijn, L., … Morey, R. A. (2022). A comparison of methods to harmonize cortical thickness measurements across scanners and sites. NeuroImage, 261, 119509. https://doi.org/10.1016/j.neuroimage.2022.119509
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Syrop, I., Fukushima, Y., Mullins, K., Raiser, S., Lawley, R., Bosshardt, L., Finlay, A., Ray, J., & Fredericson, M. (2022). Comparison of Ultrasonography to MRI in the Diagnosis of Lower Extremity Bone Stress Injuries. Journal of Ultrasound in Medicine, 41(11), 2885–2896. Portico. https://doi.org/10.1002/jum.15977
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Haller, S. P., Chen, G., Kitt, E. R., Smith, A. R., Stoddard, J., Abend, R., Cardenas, S. I., Revzina, O., Coppersmith, D., Leibenluft, E., Brotman, M. A., Pine, D. S., & Pagliaccio, D. (2022). Reliability of task‐evoked neural activation during face‐emotion paradigms: Effects of scanner and psychological processes. Human Brain Mapping, 43(7), 2109–2120. Portico. https://doi.org/10.1002/hbm.25723
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Pollatou, A., Filippi, C. A., Aydin, E., Vaughn, K., Thompson, D., Korom, M., Dufford, A. J., Howell, B., Zöllei, L., Martino, A. D., Graham, A., Scheinost, D., & Spann, M. N. (2022). An ode to fetal, infant, and toddler neuroimaging: Chronicling early clinical to research applications with MRI, and an introduction to an academic society connecting the field. Developmental Cognitive Neuroscience, 54, 101083. https://doi.org/10.1016/j.dcn.2022.101083
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Williams, J. C., Tubiolo, P. N., Luceno, J. R., & Van Snellenberg, J. X. (2022). Advancing motion denoising of multiband resting-state functional connectivity fMRI data. NeuroImage, 249, 118907. https://doi.org/10.1016/j.neuroimage.2022.118907
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Korom, M., Camacho, M. C., Filippi, C. A., Licandro, R., Moore, L. A., Dufford, A., Zöllei, L., Graham, A. M., Spann, M., Howell, B., Shultz, S., & Scheinost, D. (2022). Dear reviewers: Responses to common reviewer critiques about infant neuroimaging studies. Developmental Cognitive Neuroscience, 53, 101055. https://doi.org/10.1016/j.dcn.2021.101055
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Moon, B. F., Iyer, S. K., Josselyn, N. J., Hwuang, E., Swago, S., Keeney, S. J., Castillero, E., Ferrari, G., Pilla, J. J., Gorman, J. H., Gorman, R. C., Tschabrunn, C. M., Shou, H., Matthai, W., Wehrli, F. W., Ferrari, V. A., Han, Y., Litt, H., & Witschey, W. R. (2021). Magnetic susceptibility and R2* of myocardial reperfusion injury at 3T and 7T. Magnetic Resonance in Medicine, 87(1), 323–336. Portico. https://doi.org/10.1002/mrm.28955
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Truong, D. T., Trachtenberg, F. L., Pearson, G. D., Dionne, A., Elias, M. D., Friedman, K., Hayes, K. H., Mahony, L., McCrindle, B. W., Oster, M. E., Pemberton, V., Powell, A. J., Russell, M. W., Shekerdemian, L. S., Son, M. B., Taylor, M., Newburger, J. W., Dionne, A., Elias, M. D., … Chrisant, M. (2022). The NHLBI Study on Long-terM OUtcomes after the Multisystem Inflammatory Syndrome In Children (MUSIC): Design and Objectives. American Heart Journal, 243, 43–53. https://doi.org/10.1016/j.ahj.2021.08.003
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Salgado-Pineda, P., Rodriguez-Jimenez, R., Moreno-Ortega, M., Dompablo, M., Martínez de Aragón, A., Salvador, R., McKenna, P. J., Pomarol-Clotet, E., & Palomo, T. (2021). Activation and deactivation patterns in schizophrenia during performance of an fMRI adapted version of the stroop task. Journal of Psychiatric Research, 144, 1–7. https://doi.org/10.1016/j.jpsychires.2021.09.039
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Ramphal, B., Pagliaccio, D., Dworkin, J. D., Herbstman, J., Noble, K. G., & Margolis, A. E. (2021). Timing‐specific associations between income‐to‐needs ratio and hippocampal and amygdala volumes in middle childhood: A preliminary study. Developmental Psychobiology, 63(7). Portico. https://doi.org/10.1002/dev.22153
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Gutierrez, J., Porras, T. N., Yoo-Jeong, M., Khasiyev, F., Igwe, K. C., Laing, K. K., Brickman, A. M., Pavol, M., & Schnall, R. (2021). Cerebrovascular Contributions to Neurocognitive Disorders in People Living With HIV. JAIDS Journal of Acquired Immune Deficiency Syndromes, 88(1), 79–85. https://doi.org/10.1097/qai.0000000000002729
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Wong, T. T., Quarterman, P., Duong, P., Rasiej, M. J., Wang, R., Jaramillo, D., & Jambawalikar, S. R. (2021). A Pilot Study on Feasibility of Ultrashort Echo Time T2* Cartilage Mapping in the Sacroiliac Joints. Journal of Computer Assisted Tomography, 45(5), 717–721. https://doi.org/10.1097/rct.0000000000001206
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Faust, O., En Wei Koh, J., Jahmunah, V., Sabut, S., Ciaccio, E. J., Majid, A., Ali, A., Lip, G. Y. H., & Acharya, U. R. (2021). Fusion of Higher Order Spectra and Texture Extraction Methods for Automated Stroke Severity Classification with MRI Images. International Journal of Environmental Research and Public Health, 18(15), 8059. https://doi.org/10.3390/ijerph18158059
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