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1981Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesionspor Ye, Zezhong, George, Ajit, Wu, Anthony T., Niu, Xuan, Lin, Joshua, Adusumilli, Gautam, Naismith, Robert T., Cross, Anne H., Sun, Peng, Song, Sheng‐Kwei“…DBSI, diffusion tensor imaging (DTI), and magnetization transfer ratio (MTR) were applied to the 43,261 imaging voxels extracted from these ROIs. The optimized DNN with 10 fully connected hidden layers was trained using the imaging metrics of the lesion subtypes and NAWM. …”
Publicado 2020
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1982por Newitt, David C., Amouzandeh, Ghoncheh, Partridge, Savannah C., Marques, Helga S., Herman, Benjamin A., Ross, Brian D., Hylton, Nola M., Chenevert, Thomas L., Malyarenko, Dariya I.“…Histograms were generated using regions of interest (ROIs) defined separately for TT and RT diffusion-weighted imaging. …”
Publicado 2020
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1983“…The CT values and standard deviations of the regions of interest (ROIs) on the chosen image were recorded, including the most significantly hypodense artifact (ROI(1)), hyperdense artifacts (ROI(2)), and chest muscles of the same layer (ROI(3)). …”
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1984por Ghodasara, Satyam, Chen, Yong, Pahwa, Shivani, Griswold, Mark A., Seiberlich, Nicole, Wright, Katherine L., Gulani, Vikas“…In vivo, dictionary matching and curve fitting showed no statistically significant differences in any of the perfusion property measurements in any of the 10 ROIs between the methods. In vivo, the dictionary method performed over 140-fold faster than curve fitting, obtaining whole volume perfusion maps in just over 10 s. …”
Publicado 2020
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1985por Gao, Wenwen, Han, Xiaowei, Li, Haimei, Zhu, Yijiang, Du, Lei, Wang, Yuli, Shi, Sumin, Liu, Jing, Fu, Chao, Zhang, Lu, Ma, Guolin“…The data of patients with left-side FP and matched controls (17 cases) were flipped from left to right, and the brain regions were defined as ipsilateral and contralateral regions. The FC of 16 ROIs in classical language centers and regions that may be involved in language function were calculated. …”
Publicado 2020
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1986“…Materials and Methods: A total of 464 patients including 107 pre-invasive GGNs and 357 invasive GGNs were embraced in radiomics signature analysis. 3D regions of interest (ROIs) were contoured with ITK software. By means of ANOVA/MW, correlation analysis, and LASSO, the optimal radiomic features were selected. …”
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1987por Wang, Diana, Belden, Alexander, Hanser, Suzanne B., Geddes, Maiya R., Loui, Psyche“…Seed-based correlations were assessed from regions of interest (ROIs) in the auditory network (i.e., anterior superior temporal gyrus, posterior superior temporal gyrus, Heschl’s Gyrus), and the reward network (i.e., nucleus accumbens, caudate, putamen, and orbitofrontal cortex). …”
Publicado 2020
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1988por Shi, Yan-Jie, Zhu, Hai-Tao, Liu, Yu-Liang, Wei, Yi-Yuan, Qin, Xiu-Bo, Zhang, Xiao-Yan, Li, Xiao-Ting, Sun, Ying-Shi“…MATERIALS AND METHODS: Sixty-six patients with histopathological confirmed PNETs (n = 31) and SPTs (n = 35) were enrolled in this study. ROIs of tumors were manually drawn on each slice at T2WI and DWI (b = 1,500 s/mm(2)) from 3T MRI. …”
Publicado 2020
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1989por Pan, Cuiping, Wang, Yongqing, Tao, Lian, Zhang, Hui, Deng, Qunxian, Yang, Zhiwu, Chi, Zhuoheng, Yang, Yunmiao“…A total of 3 PacBio Iso-Seq libraries (1–2 kb, 2–3 kb and 3–6 kb) and 21 Illumina transcriptome libraries were constructed, a total of 13.41 Gb of clean reads were generated, which included 215,636 reads of insert (ROIs) and 121,654 FL, non-chimaric (FLNC) reads. …”
Publicado 2020
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1990“…The number of reads of insert (ROI) and full-length non-chimeric (FLNC) reads were 510,137 and 267,666. …”
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1991por Zhang, Dongsheng, Qi, Fei, Gao, Jie, Yan, Xuejiao, Wang, Yarong, Tang, Min, Zhe, Xia, Cheng, Miao, Wang, Man, Xie, Qingming, Su, Yu, Zhang, Xiaoling“…We selected four subregions of the cerebellum (bilateral lobules IX, right and left Crus I/II, and left lobule VI) as regions of interest (ROIs) to examine the differences in cerebellar-cerebral circuits in patients with T2DM compared to healthy controls. …”
Publicado 2020
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1992“…RESULTS: Briefly, the proposed algorithm separates blood and fat ROIs with errors of less than 2 and 9 % respectively on the clinical images. …”
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1993por Gurney-Champion, Oliver J, Collins, David J, Wetscherek, Andreas, Rata, Mihaela, Klaassen, Remy, van Laarhoven, Hanneke W M, Harrington, Kevin J, Oelfke, Uwe, Orton, Matthew R“…Despite the utility of tumour characterisation using quantitative parameter maps from multi-b-value diffusion-weighted MRI (DWI), clinicians often prefer the use of the image with highest diffusion-weighting (b-value), for instance for defining regions of interest (ROIs). However, these images are typically degraded by noise, as they do not utilize the information from the full acquisition. …”
Publicado 2019
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1994por Chaichulee, Sitthichok, Villarroel, Mauricio, Jorge, João, Arteta, Carlos, McCormick, Kenny, Zisserman, Andrew, Tarassenko, Lionel“…For patients in a hospital ward, the main challenges in the development of continuous and robust non-contact monitoring techniques are the identification of time periods and the segmentation of skin regions of interest (ROIs) from which vital signs can be estimated. We propose a deep learning framework to tackle these challenges. …”
Publicado 2019
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1995por Ma, Chi, Tian, Fen, Ma, Min-ge, Su, Hua-wei, Fan, Jian-cong, Li, Zhan-hui, Ren, Yan-de“…Thirty-two ESRD patients and forty-five healthy controls (HCs) were recruited for this study and received resting-state functional magnetic resonance imaging (rs-fMRI) scanning, and FCs on predefined regions of interest (ROIs) were individually calculated in three DMN subsystems using both ROI- and seed-based FC analyses to examine FC alterations within and between DMN subsystems. …”
Publicado 2020
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1996por Murayama, Mitsuyoshi, Nosaka, Kazunori, Inami, Takayuki, Shima, Norihiro, Yoneda, Tsugutake“…A significant (p < 0.01) correlation was evident between E and logarithmical transformed SR (LTSR) for the ROI of whole BB (r = − 0.626), and E and converted YM (r = 0.615). …”
Publicado 2020
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1997“…Susceptibility-weighted MRI was collected and processed to yield R2* images, and striatal regions of interest (ROIs) were manually placed to obtain a measure of striatal iron burden. …”
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1998por Lee, Jee Hyeon, Lee, Sang Min, Yoon, Jeong Hee, Kim, Min-Jeong, Ha, Hong Il, Park, Sung-Joon, Kim, Eun Soo, Lee, Kwanseop, Lee, Jeong Min“…The circular ROI method was used to compare the two SWE techniques. …”
Publicado 2021
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1999“…The artefact sizes were measured volumetrically by semiautomatic selection of regions of interest (ROIs), considering the VMS energies and the polychromatic spectres. …”
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2000por Oumano, Michael, Russell, Liz, Salehjahromi, Morteza, Shanshan, Lou, Sinha, Neeharika, Ngwa, Wilfred, Yu, Hengyong“…Image contrast due to AuNPs was experimentally determined from regions of interest (ROIs) and effective linear attenuation coefficients were calculated from CT x‐ray spectra with consideration of tissue attenuation. …”
Publicado 2021
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