Ciprian Catana, Ph.D., M.D.
Co-Author
This page shows the publications co-authored by Ciprian Catana and Daniel Chonde.
Connection Strength
3.403
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Masamune: a tool for automatic dynamic PET data processing, image reconstruction and integrated PET/MRI data analysis. EJNMMI Phys. 2014 Jul; 1(Suppl 1):A57.
Score: 0.582
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Effect of MRI acoustic noise on cerebral fludeoxyglucose uptake in simultaneous MR-PET imaging. Invest Radiol. 2013 May; 48(5):302-12.
Score: 0.537
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Assessment of motion and model bias on the detection of dopamine response to behavioral challenge. J Cereb Blood Flow Metab. 2022 Feb 04; 271678X221078616.
Score: 0.246
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An Efficient Approach to Perform MR-assisted PET Data Optimization in Simultaneous PET/MR Neuroimaging Studies. J Nucl Med. 2018 Jun 22.
Score: 0.192
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MR-assisted PET motion correction in simultaneous PET/MRI studies of dementia subjects. J Magn Reson Imaging. 2018 11; 48(5):1288-1296.
Score: 0.188
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On the accuracy and reproducibility of a novel probabilistic atlas-based generation for calculation of head attenuation maps on integrated PET/MR scanners. Eur J Nucl Med Mol Imaging. 2017 Mar; 44(3):398-407.
Score: 0.169
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Dopamine D1 signaling organizes network dynamics underlying working memory. Sci Adv. 2016 06; 2(6):e1501672.
Score: 0.166
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An SPM8-based approach for attenuation correction combining segmentation and nonrigid template formation: application to simultaneous PET/MR brain imaging. J Nucl Med. 2014 Nov; 55(11):1825-30.
Score: 0.148
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New SPM8-based MRAC method for simultaneous PET/MR brain images: comparison with state-of-the-art non-rigid registration methods. EJNMMI Phys. 2014 Jul; 1(Suppl 1):A29.
Score: 0.145
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Combined MR-assisted motion and partial volume effects corrections - impact on PET data quantification. EJNMMI Phys. 2014 Jul; 1(Suppl 1):A38.
Score: 0.145
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Probabilistic atlas-based segmentation of combined T1-weighted and DUTE MRI for calculation of head attenuation maps in integrated PET/MRI scanners. Am J Nucl Med Mol Imaging. 2014; 4(2):160-71.
Score: 0.143
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Influence of the partial volume correction method on (18)F-fluorodeoxyglucose brain kinetic modelling from dynamic PET images reconstructed with resolution model based OSEM. Phys Med Biol. 2013 Oct 21; 58(20):7081-106.
Score: 0.138
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MRI-assisted PET motion correction for neurologic studies in an integrated MR-PET scanner. J Nucl Med. 2011 Jan; 52(1):154-61.
Score: 0.114
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[11C]PBR28 MR-PET imaging reveals lower regional brain expression of translocator protein (TSPO) in young adult males with autism spectrum disorder. Mol Psychiatry. 2021 05; 26(5):1659-1669.
Score: 0.054
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Integrated magnetic resonance imaging and [11 C]-PBR28 positron emission tomographic imaging in amyotrophic lateral sclerosis. Ann Neurol. 2018 06; 83(6):1186-1197.
Score: 0.048
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Molecular and functional PET-fMRI measures of placebo analgesia in episodic migraine: Preliminary findings. Neuroimage Clin. 2018; 17:680-690.
Score: 0.046
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Imaging of glia activation in people with primary lateral sclerosis. Neuroimage Clin. 2018; 17:347-353.
Score: 0.046
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Glial activation colocalizes with structural abnormalities in amyotrophic lateral sclerosis. Neurology. 2016 Dec 13; 87(24):2554-2561.
Score: 0.043
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Increased in vivo glial activation in patients with amyotrophic lateral sclerosis: assessed with [(11)C]-PBR28. Neuroimage Clin. 2015; 7:409-14.
Score: 0.038
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Evidence for brain glial activation in chronic pain patients. Brain. 2015 Mar; 138(Pt 3):604-15.
Score: 0.038
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Disruption of thalamic functional connectivity is a neural correlate of dexmedetomidine-induced unconsciousness. Elife. 2014 Nov 28; 3:e04499.
Score: 0.037
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Simultaneous fMRI-PET of the opioidergic pain system in human brain. Neuroimage. 2014 Nov 15; 102 Pt 2:275-82.
Score: 0.037
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A 31-channel MR brain array coil compatible with positron emission tomography. Magn Reson Med. 2015 Jun; 73(6):2363-75.
Score: 0.036
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Dynamic functional imaging of brain glucose utilization using fPET-FDG. Neuroimage. 2014 Oct 15; 100:192-9.
Score: 0.036
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Fibrin-targeted PET probes for the detection of thrombi. Mol Pharm. 2013 Mar 04; 10(3):1100-10.
Score: 0.033
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.