Elizabeth M. Sweeney
Elizabeth M. Sweeney
Weill Cornell Medicine
Verified email at med.cornell.edu - Homepage
Title
Cited by
Cited by
Year
Statistical normalization techniques for magnetic resonance imaging
RT Shinohara, EM Sweeney, J Goldsmith, N Shiee, FJ Mateen, ...
NeuroImage: Clinical 6, 9-19, 2014
1892014
OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI
EM Sweeney, RT Shinohara, N Shiee, FJ Mateen, AA Chudgar, ...
NeuroImage: clinical 2, 402-413, 2013
932013
Objective evaluation of multiple sclerosis lesion segmentation using a data management and processing infrastructure
O Commowick, A Istace, M Kain, B Laurent, F Leray, M Simon, SC Pop, ...
Scientific reports 8 (1), 1-17, 2018
682018
Automatic lesion incidence estimation and detection in multiple sclerosis using multisequence longitudinal MRI
EM Sweeney, RT Shinohara, CD Shea, DS Reich, CM Crainiceanu
American Journal of Neuroradiology 34 (1), 68-73, 2013
662013
Subject-specific sparse dictionary learning for atlas-based brain MRI segmentation
S Roy, Q He, E Sweeney, A Carass, DS Reich, JL Prince, DL Pham
IEEE journal of biomedical and health informatics 19 (5), 1598-1609, 2015
592015
Removing inter-subject technical variability in magnetic resonance imaging studies
JP Fortin, EM Sweeney, J Muschelli, CM Crainiceanu, RT Shinohara, ...
NeuroImage 132, 198-212, 2016
512016
A comparison of supervised machine learning algorithms and feature vectors for MS lesion segmentation using multimodal structural MRI
EM Sweeney, JT Vogelstein, JL Cuzzocreo, PA Calabresi, DS Reich, ...
PloS one 9 (4), e95753, 2014
452014
fslr: Connecting the FSL Software with R
J Muschelli, E Sweeney, M Lindquist, C Crainiceanu
The R journal 7 (1), 163, 2015
272015
PItcHPERFeCT: Primary intracranial hemorrhage probability estimation using random forests on CT
J Muschelli, EM Sweeney, NL Ullman, P Vespa, DF Hanley, ...
NeuroImage: Clinical 14, 379-390, 2017
252017
Clinical 3-tesla FLAIR* MRI improves diagnostic accuracy in multiple sclerosis
IC George, P Sati, M Absinta, ICM Cortese, EM Sweeney, CD Shea, ...
Multiple Sclerosis Journal 22 (12), 1578-1586, 2016
252016
Relating multi-sequence longitudinal intensity profiles and clinical covariates in incident multiple sclerosis lesions
EM Sweeney, RT Shinohara, BE Dewey, MK Schindler, J Muschelli, ...
NeuroImage: Clinical 10, 1-17, 2016
192016
Australian Imaging Biomarkers Lifestyle Flagship Study of Ageing; Alzheimer’s Disease Neuroimaging Initiative. Statistical normalization techniques for magnetic resonance imaging
RT Shinohara, EM Sweeney, J Goldsmith, N Shiee, FJ Mateen, ...
Neuroimage Clin 6 (9), 2014
192014
Health effects of lesion localization in multiple sclerosis: spatial registration and confounding adjustment
A Eloyan, H Shou, RT Shinohara, EM Sweeney, MB Nebel, JL Cuzzocreo, ...
PloS one 9 (9), e107263, 2014
182014
Statistical estimation of T1 relaxation times using conventional magnetic resonance imaging
AF Mejia, EM Sweeney, B Dewey, G Nair, P Sati, C Shea, DS Reich, ...
NeuroImage 133, 176-188, 2016
152016
Outcomes of intravenous tissue plasminogen activator for acute ischaemic stroke in HIV‐infected adults
EM Sweeney, KT Thakur, JL Lyons, BR Smith, JZ Willey, ...
European journal of neurology 21 (11), 1394-1399, 2014
152014
brainR: interactive 3 and 4D images of high resolution neuroimage data
J Muschelli, E Sweeney, C Crainiceanu
The R journal 6 (1), 41, 2014
132014
A lag functional linear model for prediction of magnetization transfer ratio in multiple sclerosis lesions
GM Pomann, AM Staicu, EJ Lobaton, AF Mejia, BE Dewey, DS Reich, ...
The annals of applied statistics 10 (4), 2325-2348, 2016
112016
Method of analyzing multi-sequence MRI data for analysing brain abnormalities in a subject
C Crainiceanu, AJ Goldsmith, D Pham, DS Reich, N Shiee, RT Shinohara, ...
US Patent 9,888,876, 2018
102018
System and method of automatically detecting tissue abnormalities
CM Crainiceanu, EM Sweeney, RT Shinohara, AJ Goldsmith, D Reich, ...
US Patent 9,607,392, 2017
62017
PREVAIL: predicting recovery through estimation and visualization of active and incident lesions
JD Dworkin, EM Sweeney, MK Schindler, S Chahin, DS Reich, ...
NeuroImage: Clinical 12, 293-299, 2016
62016
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