Elizabeth M. Sweeney

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Medförfattare

Daniel S. ReichNational Institutes of HealthVerifierad e-postadress på nih.gov
Ciprian CrainiceanuProfessor of Biostatistics, Johns Hopkins UniversityVerifierad e-postadress på jhsph.edu
Russell ShinoharaProfessor at the University of PennsylvaniaVerifierad e-postadress på pennmedicine.upenn.edu
Dzung L. PhamUniformed Services University of the Health SciencesVerifierad e-postadress på nih.gov
John MuschelliAssociate Scientist, Johns Hopkins School of Public HealthVerifierad e-postadress på jhsph.edu
Peter Calabresijohns hopkinsVerifierad e-postadress på jhmi.edu
Jeff GoldsmithAssociate Professor, Department of Biostatistics, Columbia UniversityVerifierad e-postadress på columbia.edu
Ani EloyanAssistant Professor at the Department of Biostatistics, Brown UniversityVerifierad e-postadress på brown.edu
Martina Absinta, MD, PhDJohns Hopkins UniversityVerifierad e-postadress på jhmi.edu
Martin LindquistProfessor of Biostatistics, Johns Hopkins UniversityVerifierad e-postadress på jhsph.edu
Amanda MejiaAssistant Professor, Department of Statistics, Indiana UniversityVerifierad e-postadress på iu.edu
PAUL M. VESPAProfessor of Neurology and Neurosurgery UCLAVerifierad e-postadress på g.ucla.edu
Jean-Philippe FortinSenior Scientist (Bioinformatics), gRED, GenentechVerifierad e-postadress på gene.com
Ana-Maria StaicuAssistant Professor, Statistics, North Carolina State UniversityVerifierad e-postadress på ncsu.edu
Gina-Maria PomannDuke UniversityVerifierad e-postadress på duke.edu
Joshua T. VogelsteinDept of Biomedical Engineering, Johns Hopkins UniversityVerifierad e-postadress på jhu.edu
Mary Beth NebelKennedy Krieger Institute & Johns Hopkins School of MedicineVerifierad e-postadress på kennedykrieger.org
Haochang ShouAssistant Professor of Biostatistics, University of PennsylvaniaVerifierad e-postadress på pennmedicine.upenn.edu
Ken Uchino, MD FAHA FANACerebrovascular Center, Cleveland ClinicVerifierad e-postadress på ccf.org
Govind NairStaff Scientist, NINDS, NIHVerifierad e-postadress på nih.gov

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Elizabeth M. Sweeney

Weill Cornell Medicine

Verifierad e-postadress på med.cornell.edu - Startsida

Statistics / Biostatistics / Neuroimaging / Multiple Sclerosis


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Statistical normalization techniques for magnetic resonance imaging RT Shinohara, EM Sweeney, J Goldsmith, N Shiee, FJ Mateen, ... NeuroImage: Clinical 6, 9-19, 2014	263	2014
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	145	2018
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	105	2013
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	82	2016
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	79	2013
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	72	2015
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	48	2014
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	44	2017
fslr: Connecting the FSL Software with R J Muschelli, E Sweeney, M Lindquist, C Crainiceanu The R journal 7 (1), 163, 2015	38	2015
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	31	2016
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	27	2014
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	22	2014
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	20	2016
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	17	2016
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	17	2014
brainR: interactive 3 and 4D images of high resolution neuroimage data J Muschelli, E Sweeney, C Crainiceanu The R journal 6 (1), 41, 2014	15	2014
Alzheimer’s Disease Neuroimaging Initiative 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	14	2016
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	12	2016
Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection ER Olafson, KW Jamison, EM Sweeney, H Liu, D Wang, JE Bruss, ... Neuroimage 245, 118642, 2021	10	2021
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	10	2016

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