Elizabeth M. Sweeney

发表

Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging

Yi Wang, Shun Zhang, Elizabeth M. Sweeney, 2020, NeuroImage.

Cerebral microbleed segmentation from susceptibility weighted images

Snehashis Roy, Amod Jog, Dzung L. Pham, 2015, Medical Imaging.

Longitudinal multiple sclerosis lesion segmentation: Resource and challenge

Snehashis Roy, Amod Jog, Aaron Carass, 2017, NeuroImage.

Corrigendum to “Statistical normalization techniques for magnetic resonance imaging” [NeuroImage: Clinical 6 (2014) 9–19]

Peter A. Calabresi, Russell T. Shinohara, Daniel S. Reich, 2015, NeuroImage: Clinical.

Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

Martin Styner, Isabelle Bloch, Abel G. Silva-Filho, 2018, Scientific Reports.

Removing inter-subject technical variability in magnetic resonance imaging studies

Russell T. Shinohara, Ciprian M. Crainiceanu, John Muschelli, 2016, NeuroImage.

Statistical estimation of T 1 relaxation times using conventional magnetic resonance imaging

Russell T. Shinohara, Daniel S. Reich, Amanda F. Mejia, 2016, NeuroImage.

Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation

Snehashis Roy, Aaron Carass, Jerry L. Prince, 2015, IEEE Journal of Biomedical and Health Informatics.

PREVAIL: Predicting Recovery through Estimation and Visualization of Active and Incident Lesions

Daniel S. Reich, Jordan D. Dworkin, Elizabeth M. Sweeney, 2016, NeuroImage: Clinical.

OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI☆

Peter A. Calabresi, Russell T. Shinohara, Jennifer L. Cuzzocreo, 2013, NeuroImage: Clinical.

A LAG FUNCTIONAL LINEAR MODEL FOR PREDICTION OF MAGNETIZATION TRANSFER RATIO IN MULTIPLE SCLEROSIS LESIONS.

Russell T. Shinohara, Ana-Maria Staicu, Daniel S. Reich, 2016, The annals of applied statistics.

Normalization Techniques for Statistical Inference from Magnetic Resonance Imaging

Peter A. Calabresi, Russell T. Shinohara, Daniel S. Reich, 2013 .

Health Effects of Lesion Localization in Multiple Sclerosis: Spatial Registration and Confounding Adjustment

Peter A. Calabresi, Martin A. Lindquist, Russell T. Shinohara, 2014, PloS one.

Relating multi-sequence longitudinal intensity profiles and clinical covariates in new multiple sclerosis lesions

Russell T. Shinohara, Daniel S. Reich, Ciprian M. Crainiceanu, 2015, 1509.08359.

A Comparison of Supervised Machine Learning Algorithms and Feature Vectors for MS Lesion Segmentation Using Multimodal Structural MRI

Peter A. Calabresi, Russell T. Shinohara, Jennifer L. Cuzzocreo, 2014, PloS one.

PItcHPERFeCT: Primary Intracranial Hemorrhage Probability Estimation using Random Forests on CT

Ciprian M. Crainiceanu, John Muschelli, Elizabeth M. Sweeney, 2017, NeuroImage: Clinical.