Zobrazeno 1 - 10
of 262
pro vyhledávání: '"Ciprian M Crainiceanu"'
Autor:
Marta Karas, John Muschelli, Andrew Leroux, Jacek K Urbanek, Amal A Wanigatunga, Jiawei Bai, Ciprian M Crainiceanu, Jennifer A Schrack
Publikováno v:
JMIR mHealth and uHealth, Vol 10, Iss 7, p e38077 (2022)
BackgroundGiven the evolution of processing and analysis methods for accelerometry data over the past decade, it is important to understand how newer summary measures of physical activity compare with established measures. ObjectiveWe aimed to compa
Externí odkaz:
https://doaj.org/article/2074236cc8b64eb4afa5e153d93c2acd
Autor:
Dana L. Tudorascu, Helmet T. Karim, Jacob Maronge, Lea Alhilali, Saeed Fakhran, Howard J Aizenstein, John Muschelli, Ciprian M Crainiceanu
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
We evaluated and compared the performance of two popular neuroimaging processing platforms: Statistical Parametric Mapping (SPM) and FMRIB Software Library (FSL). We focused on comparing brain segmentations using Kirby21, a magnetic resonance imaging
Externí odkaz:
https://doaj.org/article/798eb96fb9034582ad4cd30ca230ab9c
Autor:
Jiawei Bai, Chongzhi Di, Luo Xiao, Kelly R Evenson, Andrea Z LaCroix, Ciprian M Crainiceanu, David M Buchner
Publikováno v:
PLoS ONE, Vol 11, Iss 8, p e0160644 (2016)
Accelerometers have been widely deployed in public health studies in recent years. While they collect high-resolution acceleration signals (e.g., 10-100 Hz), research has mainly focused on summarized metrics provided by accelerometers manufactures, s
Externí odkaz:
https://doaj.org/article/862598b2fc4e4b9bac3256660edf098f
Autor:
Ani Eloyan, Haochang Shou, Russell T Shinohara, Elizabeth M Sweeney, Mary Beth Nebel, Jennifer L Cuzzocreo, Peter A Calabresi, Daniel S Reich, Martin A Lindquist, Ciprian M Crainiceanu
Publikováno v:
PLoS ONE, Vol 9, Iss 9, p e107263 (2014)
Brain lesion localization in multiple sclerosis (MS) is thought to be associated with the type and severity of adverse health effects. However, several factors hinder statistical analyses of such associations using large MRI datasets: 1) spatial regi
Externí odkaz:
https://doaj.org/article/d315f552e7874357b682eabe9986236d
Autor:
Jennifer A Schrack, Vadim Zipunnikov, Jeff Goldsmith, Karen Bandeen-Roche, Ciprian M Crainiceanu, Luigi Ferrucci
Publikováno v:
PLoS ONE, Vol 9, Iss 4, p e93520 (2014)
Accurate measurement of free-living energy expenditure is vital to understanding changes in energy metabolism with aging. The efficacy of heart rate as a surrogate for energy expenditure is rooted in the assumption of a linear function between heart
Externí odkaz:
https://doaj.org/article/f84cf77571ef483cb3c056303e8bf455
Autor:
Elizabeth M Sweeney, Joshua T Vogelstein, Jennifer L Cuzzocreo, Peter A Calabresi, Daniel S Reich, Ciprian M Crainiceanu, Russell T Shinohara
Publikováno v:
PLoS ONE, Vol 9, Iss 4, p e95753 (2014)
Machine learning is a popular method for mining and analyzing large collections of medical data. We focus on a particular problem from medical research, supervised multiple sclerosis (MS) lesion segmentation in structural magnetic resonance imaging (
Externí odkaz:
https://doaj.org/article/b33875a4dca745609a950a377af6ac74
Autor:
Christina V Warner, Stephanie B Syc, Aleksandra M Stankiewicz, Girish Hiremath, Sheena K Farrell, Ciprian M Crainiceanu, Amy Conger, Teresa C Frohman, Esther R Bisker, Laura J Balcer, Elliot M Frohman, Peter A Calabresi, Shiv Saidha
Publikováno v:
PLoS ONE, Vol 6, Iss 8, p e22947 (2011)
Optical coherence tomography (OCT) derived retinal measures, particularly peri-papillary retinal nerve fiber layer (RNFL) thickness, have been proposed as outcome measures in remyelinating and neuroprotective trials in multiple sclerosis (MS). With i
Externí odkaz:
https://doaj.org/article/8b1e76f38a02486f8aa89ae110f03b37
Autor:
Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Ghasan Ahmad, Erin E. O’Connor, John Muschelli, Charles M. Laymon, Zixi Yang, Ann D. Cohen, Howard J. Aizenstein, William E. Klunk, Bradley T. Christian, Seong Jae Hwang, Ciprian M. Crainiceanu, Dana L. Tudorascu
Publikováno v:
NeuroImage, Vol 245, Iss , Pp 118703- (2021)
Modern neuroimaging studies frequently combine data collected from multiple scanners and experimental conditions. Such data often contain substantial technical variability associated with image intensity scale (image intensity scales are not the same
Externí odkaz:
https://doaj.org/article/186c8ae68de040a5866157a2a3e971a1
Publikováno v:
Journal of Computational and Graphical Statistics. 32:366-377
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::176cca8ac8697c3d402ed24c491a5348
https://doi.org/10.1080/10618600.2022.2115500
https://doi.org/10.1080/10618600.2022.2115500
Autor:
Aaron Carass, Snehashis Roy, Amod Jog, Jennifer L. Cuzzocreo, Elizabeth Magrath, Adrian Gherman, Julia Button, James Nguyen, Pierre-Louis Bazin, Peter A. Calabresi, Ciprian M. Crainiceanu, Lotta M. Ellingsen, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham
Publikováno v:
Data in Brief, Vol 12, Iss C, Pp 346-350 (2017)
The data presented in this article is related to the research article entitled “Longitudinal multiple sclerosis lesion segmentation: Resource and challenge” (Carass et al., 2017) [1]. In conjunction with the 2015 International Symposium on Biomed
Externí odkaz:
https://doaj.org/article/398942aad7ae471c8c1fc1e50cf250e1