Can Ceritoglu, Ph.D.
Affiliations: | 2008 | Johns Hopkins University, Baltimore, MD |
Area:
Electronics and Electrical EngineeringGoogle:
"Can Ceritoglu"Parents
Sign in to add mentor| Michael I. Miller | grad student | 2008 | Johns Hopkins | |
| (Multichannel large deformation diffeomorphic metric mapping and registration of diffusion tensor images.) | ||||
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Publications
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| Stouffer KM, Chen C, Kulason S, et al. (2023) Early amygdala and ERC atrophy linked to 3D reconstruction of rostral neurofibrillary tau tangle pathology in Alzheimer's disease. Neuroimage. Clinical. 38: 103374 |
| Rezende TJR, Campos BM, Hsu J, et al. (2019) Test-retest reproducibility of a multi-atlas automated segmentation tool on multimodality brain MRI. Brain and Behavior. e01363 |
| Otsuka Y, Chang L, Kawasaki Y, et al. (2019) A Multi-Atlas Label Fusion Tool for Neonatal Brain MRI Parcellation and Quantification. Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging |
| Li X, Chen L, Kutten K, et al. (2019) Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility. Neuroimage |
| Li Y, Liu P, Li Y, et al. (2018) ASL-MRICloud: An online tool for the processing of ASL MRI data. Nmr in Biomedicine. e4051 |
| Ye C, Ma T, Wu D, et al. (2018) Atlas pre-selection strategies to enhance the efficiency and accuracy of multi-atlas brain segmentation tools. Plos One. 13: e0200294 |
| Wu D, Ceritoglu C, Miller MI, et al. (2016) Direct estimation of patient attributes from anatomical MRI based on multi-atlas voting. Neuroimage. Clinical. 12: 570-581 |
| Wu D, Ma T, Ceritoglu C, et al. (2015) Resource Atlases for Multi-Atlas Brain Segmentations with Multiple Ontology Levels Based on T1-Weighted MRI. Neuroimage |
| Liang Z, He X, Ceritoglu C, et al. (2015) Evaluation of Cross-Protocol Stability of a Fully Automated Brain Multi-Atlas Parcellation Tool. Plos One. 10: e0133533 |
| Tang X, Crocetti D, Kutten K, et al. (2015) Segmentation of brain magnetic resonance images based on multi-atlas likelihood fusion: testing using data with a broad range of anatomical and photometric profiles. Frontiers in Neuroscience. 9: 61 |