Search Results - "Ceritoglu, Can"

MRICloud: Delivering High-Throughput MRI Neuroinformatics as Cloud-Based Software as a Service by Mori, Susumu, Wu, Dan, Ceritoglu, Can, Li, Yue, Kolasny, Anthony, Vaillant, Marc A., Faria, Andreia V., Oishi, Kenichi, Miller, Michael I.

“…Image analysis tools for brain magnetic resonance imaging (MRI) have become increasingly important for computer-aided diagnosis that involves large amounts of…”
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Brain-derived neurotrophic factor Val66Met variant on brain volumes in infants by Kawasaki, Yukako, Oishi, Kenichi, Hernandez, Antonette, Ernst, Thomas, Wu, Dan, Otsuka, Yoshihisa, Ceritoglu, Can, Chang, Linda

“…The brain-derived neurotrophic factor (BDNF) has many important roles in neurogenesis and neuronal health. BDNF is also involved in learning and memory…”
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Fornix integrity and hippocampal volume predict memory decline and progression to Alzheimer’s disease by Mielke, Michelle M, Okonkwo, Ozioma C, Oishi, Kenichi, Mori, Susumu, Tighe, Sarah, Miller, Michael I, Ceritoglu, Can, Brown, Timothy, Albert, Marilyn, Lyketsos, Constantine G

“…Abstract Background The fornix is the predominant outflow tract of the hippocampus, a brain region known to be affected early in the course of Alzheimer’s…”
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ASL‐MRICloud: An online tool for the processing of ASL MRI data by Li, Yang, Liu, Peiying, Li, Yue, Fan, Hongli, Su, Pan, Peng, Shin‐Lei, Park, Denise C., Rodrigue, Karen M., Jiang, Hangyi, Faria, Andreia V., Ceritoglu, Can, Miller, Michael, Mori, Susumu, Lu, Hanzhang

“…Arterial spin labeling (ASL) MRI is increasingly used in research and clinical settings. The purpose of this work is to develop a cloud‐based tool for ASL data…”
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Multi-contrast large deformation diffeomorphic metric mapping for diffusion tensor imaging by Ceritoglu, Can, Oishi, Kenichi, Li, Xin, Chou, Ming-Chung, Younes, Laurent, Albert, Marilyn, Lyketsos, Constantine, van Zijl, Peter C.M., Miller, Michael I., Mori, Susumu

“…Diffusion tensor imaging (DTI) can reveal detailed white matter anatomy and has the potential to detect abnormalities in specific white matter structures. Such…”
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Atlas pre-selection strategies to enhance the efficiency and accuracy of multi-atlas brain segmentation tools by Ye, Chenfei, Ma, Ting, Wu, Dan, Ceritoglu, Can, Miller, Michael I, Mori, Susumu

“…Multi-atlas brain segmentation of human brain MR images allows quantification research in structural neuroimaging. To achieve high accuracy and computational…”
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Tools for multiple granularity analysis of brain MRI data for individualized image analysis by Djamanakova, Aigerim, Tang, Xiaoying, Li, Xin, Faria, Andreia V., Ceritoglu, Can, Oishi, Kenichi, Hillis, Argye E., Albert, Marilyn, Lyketsos, Constantine, Miller, Michael I., Mori, Susumu

“…Voxel-based analysis is widely used for quantitative analysis of brain MRI. While this type of analysis provides the highest granularity level of spatial…”
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Early amygdala and ERC atrophy linked to 3D reconstruction of rostral neurofibrillary tau tangle pathology in Alzheimer’s disease by Stouffer, Kaitlin M., Chen, Claire, Kulason, Sue, Xu, Eileen, Witter, Menno P., Ceritoglu, Can, Albert, Marilyn S., Mori, Susumu, Troncoso, Juan, Tward, Daniel J., Miller, Michael I.

“…•Amygdala atrophy rate estimated from MRIs prior to onset of MCI and AD dementia.•Comparable atrophy rates in amygdala and ERC prior to onset of MCI and AD…”
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Evaluation of Cross-Protocol Stability of a Fully Automated Brain Multi-Atlas Parcellation Tool by Liang, Zifei, He, Xiaohai, Ceritoglu, Can, Tang, Xiaoying, Li, Yue, Kutten, Kwame S, Oishi, Kenichi, Miller, Michael I, Mori, Susumu, Faria, Andreia V

“…Brain parcellation tools based on multiple-atlas algorithms have recently emerged as a promising method with which to accurately define brain structures. When…”
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Plasma ceramides are altered in mild cognitive impairment and predict cognitive decline and hippocampal volume loss by Mielke, Michelle M, Haughey, Norman J, Ratnam Bandaru, Veera Venkata, Schech, Steven, Carrick, Richard, Carlson, Michelle C, Mori, Susumu, Miller, Michael I, Ceritoglu, Can, Brown, Timothy, Albert, Marilyn, Lyketsos, Constantine G

“…Abstract Background A blood-based biomarker of Alzheimer's disease (AD) would be superior to cerebrospinal fluid (CSF) and neuroimaging measures in terms of…”
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Test–retest reproducibility of a multi‐atlas automated segmentation tool on multimodality brain MRI by Rezende, Thiago J. R., Campos, Brunno M., Hsu, Johnny, Li, Yue, Ceritoglu, Can, Kutten, Kwame, França Junior, Marcondes C., Mori, Susumu, Miller, Michael I., Faria, Andreia V.

“…Introduction The increasing use of large sample sizes for population and personalized medicine requires high‐throughput tools for imaging processing that can…”
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Increasing the Power of Functional Maps of the Medial Temporal Lobe by Using Large Deformation Diffeomorphic Metric Mapping by Miller, Michael I., Beg, M. Faisal, Ceritoglu, Can, Stark, Craig, Mumford, David

“…The functional magnetic resonance imagery responses of declarative memory tasks in the medial temporal lobe (MTL) are examined by using large deformation…”
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A 7 Tesla Amygdalar-Hippocampal Shape Analysis of Lithium Response in Bipolar Disorder by Athey, Thomas L, Ceritoglu, Can, Tward, Daniel J, Kutten, Kwame S, DePaulo, J Raymond, Glazer, Kara, Goes, Fernando S, Kelsoe, John R, Mondimore, Francis, Nievergelt, Caroline M, Rootes-Murdy, Kelly, Zandi, Peter P, Ratnanather, J Tilak, Mahon, Pamela B

“…Research to discover clinically useful predictors of lithium response in patients with bipolar disorder has largely found them to be elusive. We demonstrate…”
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Correction of B0 susceptibility induced distortion in diffusion-weighted images using large-deformation diffeomorphic metric mapping by Huang, Hao, Ceritoglu, Can, Li, Xin, Qiu, Anqi, Miller, Michael I, van Zijl, Peter C.M, Mori, Susumu

“…Abstract Geometric distortion caused by B0 inhomogeneity is one of the most important problems for diffusion-weighted images (DWI) using single-shot, echo…”
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Direct estimation of patient attributes from anatomical MRI based on multi-atlas voting by Wu, Dan, Ceritoglu, Can, Miller, Michael I, Mori, Susumu

“…MRI brain atlases are widely used for automated image segmentation, and in particular, recent developments in multi-atlas techniques have shown highly accurate…”
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Large Deformation Diffeomorphic Metric Mapping Registration of Reconstructed 3D Histological Section Images and in vivo MR Images by Ceritoglu, Can, Wang, Lei, Selemon, Lynn D, Csernansky, John G, Miller, Michael I, Ratnanather, J Tilak

“…Our current understanding of neuroanatomical abnormalities in neuropsychiatric diseases is based largely on magnetic resonance imaging (MRI) and post mortem…”
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Patient Specific Dosimetry Phantoms Using Multichannel LDDMM of the Whole Body by Tward, Daniel J., Ceritoglu, Can, Kolasny, Anthony, Sturgeon, Gregory M., Segars, W. Paul, Miller, Michael I., Ratnanather, J. Tilak

“…This paper describes an automated procedure for creating detailed patient-specific pediatric dosimetry phantoms from a small set of segmented organs in a…”
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Resource atlases for multi-atlas brain segmentations with multiple ontology levels based on T1-weighted MRI by Wu, Dan, Ma, Ting, Ceritoglu, Can, Li, Yue, Chotiyanonta, Jill, Hou, Zhipeng, Hsu, John, Xu, Xin, Brown, Timothy, Miller, Michael I., Mori, Susumu

“…Technologies for multi-atlas brain segmentation of T1-weighted MRI images have rapidly progressed in recent years, with highly promising results. This…”
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Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility by Li, Xu, Chen, Lin, Kutten, Kwame, Ceritoglu, Can, Li, Yue, Kang, Ningdong, Hsu, John T., Qiao, Ye, Wei, Hongjiang, Liu, Chunlei, Miller, Michael I., Mori, Susumu, Yousem, David M., van Zijl, Peter C.M., Faria, Andreia V.

“…Quantification of tissue magnetic susceptibility using MRI offers a non-invasive measure of important tissue components in the brain, such as iron and myelin,…”
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Image-Based Estimation of Ventricular Fiber Orientations for Personalized Modeling of Cardiac Electrophysiology by Vadakkumpadan, F., Arevalo, H., Ceritoglu, C., Miller, M., Trayanova, N.

“…Technological limitations pose a major challenge to acquisition of myocardial fiber orientations for patient-specific modeling of cardiac (dys)function and…”
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