Suchergebnisse - "Sweeney, Elizabeth M."

Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection von Olafson, Emily R., Jamison, Keith W., Sweeney, Elizabeth M., Liu, Hesheng, Wang, Danhong, Bruss, Joel E., Boes, Aaron D., Kuceyeski, Amy

“… Motor recovery following ischemic stroke is contingent on the ability of surviving brain networks to compensate for damaged tissue. In rodent models, sensory …”
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Removing inter-subject technical variability in magnetic resonance imaging studies von Fortin, Jean-Philippe, Sweeney, Elizabeth M., Muschelli, John, Crainiceanu, Ciprian M., Shinohara, Russell T.

“… Magnetic resonance imaging (MRI) intensities are acquired in arbitrary units, making scans non-comparable across sites and between subjects. Intensity …”
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Statistical normalization techniques for magnetic resonance imaging von Shinohara, Russell T., Sweeney, Elizabeth M., Goldsmith, Jeff, Shiee, Navid, Mateen, Farrah J., Calabresi, Peter A., Jarso, Samson, Pham, Dzung L., Reich, Daniel S., Crainiceanu, Ciprian M.

“… While computed tomography and other imaging techniques are measured in absolute units with physical meaning, magnetic resonance images are expressed in …”
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Quantitative Water Permeability Mapping of Blood-Brain-Barrier Dysfunction in Aging von Ford, Jeremy N., Zhang, Qihao, Sweeney, Elizabeth M., Merkler, Alexander E., de Leon, Mony J., Gupta, Ajay, Nguyen, Thanh D., Ivanidze, Jana

“… Blood-brain-barrier (BBB) dysfunction is a hallmark of aging and aging-related disorders, including cerebral small vessel disease and Alzheimer’s disease. An …”
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QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility maps von Zhang, Hang, Nguyen, Thanh D., Zhang, Jinwei, Marcille, Melanie, Spincemaille, Pascal, Wang, Yi, Gauthier, Susan A., Sweeney, Elizabeth M.

“… •We propose QSMRim-Net for identification of chronic active MS lesions on QSM.•QSMRim-Net is novel deep learning model that fuses convolutional and radiomic …”
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ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentation von Zhang, Hang, Zhang, Jinwei, Li, Chao, Sweeney, Elizabeth M., Spincemaille, Pascal, Nguyen, Thanh D., Gauthier, Susan A., Wang, Yi, Marcille, Melanie

“… •A new algorithm, ALL-Net, is introduced to improve MS lesion segmentation.•ALL-Net integrates anatomical coordinate information into the neural …”
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Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging von Sweeney, Elizabeth M., Nguyen, Thanh D., Kuceyeski, Amy, Ryan, Sarah M., Zhang, Shun, Zexter, Lily, Wang, Yi, Gauthier, Susan A.

“… We introduce the first-ever statistical framework for estimating the age of Multiple Sclerosis (MS) lesions from magnetic resonance imaging (MRI). Estimating …”
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A multi-institutional machine learning algorithm for prognosticating facial nerve injury following microsurgical resection of vestibular schwannoma von Heman-Ackah, Sabrina M., Blue, Rachel, Quimby, Alexandra E., Abdallah, Hussein, Sweeney, Elizabeth M., Chauhan, Daksh, Hwa, Tiffany, Brant, Jason, Ruckenstein, Michael J., Bigelow, Douglas C., Jackson, Christina, Zenonos, Georgios, Gardner, Paul, Briggs, Selena E., Cohen, Yale, Lee, John Y. K.

“… Vestibular schwannomas (VS) are the most common tumor of the skull base with available treatment options that carry a risk of iatrogenic injury to the facial …”
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Association of brain tissue cerebrospinal fluid fraction with age in healthy cognitively normal adults von Zhou, Liangdong, Li, Yi, Sweeney, Elizabeth M., Wang, Xiuyuan H., Kuceyeski, Amy, Chiang, Gloria C., Ivanidze, Jana, Wang, Yi, Gauthier, Susan A., de Leon, Mony J., Nguyen, Thanh D.

“… Our objective was to apply multi-compartment T2 relaxometry in cognitively normal individuals aged 20-80 years to study the effect of aging on the parenchymal …”
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Global cerebrospinal fluid as a zero‐reference regularization for brain quantitative susceptibility mapping von Dimov, Alexey V., Nguyen, Thanh D., Spincemaille, Pascal, Sweeney, Elizabeth M., Zinger, Nicole, Kovanlikaya, Ilhami, Kopell, Brian H., Gauthier, Susan A., Wang, Yi

“… Background and Purpose The objective ofthis study was to demonstrate a global cerebrospinal fluid (CSF) method for a consistent and automated zero referencing …”
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PItcHPERFeCT: Primary Intracranial Hemorrhage Probability Estimation using Random Forests on CT von Muschelli, John, Sweeney, Elizabeth M., Ullman, Natalie L., Vespa, Paul, Hanley, Daniel F., Crainiceanu, Ciprian M.

“… Intracerebral hemorrhage (ICH), where a blood vessel ruptures into areas of the brain, accounts for approximately 10–15% of all strokes. X-ray computed …”
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Fully automated detection of paramagnetic rims in multiple sclerosis lesions on 3T susceptibility-based MR imaging von Lou, Carolyn, Sati, Pascal, Absinta, Martina, Clark, Kelly, Dworkin, Jordan D., Valcarcel, Alessandra M., Schindler, Matthew K., Reich, Daniel S., Sweeney, Elizabeth M., Shinohara, Russell T.

“… •Paramagnetic rim lesions are an important subtype of multiple sclerosis lesion.•Automated methods can accelerate the assessment of paramagnetic rim …”
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A Comparison of Supervised Machine Learning Algorithms and Feature Vectors for MS Lesion Segmentation Using Multimodal Structural MRI von Sweeney, Elizabeth M., Vogelstein, Joshua T., Cuzzocreo, Jennifer L., Calabresi, Peter A., Reich, Daniel S., Crainiceanu, Ciprian M., Shinohara, Russell T.

“… Machine learning is a popular method for mining and analyzing large collections of medical data. We focus on a particular problem from medical research, …”
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Health Effects of Lesion Localization in Multiple Sclerosis: Spatial Registration and Confounding Adjustment von Eloyan, Ani, Shou, Haochang, Shinohara, Russell T., Sweeney, Elizabeth M., Nebel, Mary Beth, Cuzzocreo, Jennifer L., Calabresi, Peter A., Reich, Daniel S., Lindquist, Martin A., Crainiceanu, Ciprian M.

“… Brain lesion localization in multiple sclerosis (MS) is thought to be associated with the type and severity of adverse health effects. However, several factors …”
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Relating multi-sequence longitudinal intensity profiles and clinical covariates in incident multiple sclerosis lesions von Sweeney, Elizabeth M., Shinohara, Russell T., Dewey, Blake E., Schindler, Matthew K., Muschelli, John, Reich, Daniel S., Crainiceanu, Ciprian M., Eloyan, Ani

“… The formation of multiple sclerosis (MS) lesions is a complex process involving inflammation, tissue damage, and tissue repair — all of which are visible on …”
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PREVAIL: Predicting Recovery through Estimation and Visualization of Active and Incident Lesions von Dworkin, Jordan D., Sweeney, Elizabeth M., Schindler, Matthew K., Chahin, Salim, Reich, Daniel S., Shinohara, Russell T.

“… The goal of this study was to develop a model that integrates imaging and clinical information observed at lesion incidence for predicting the recovery of …”
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Brain oxygen extraction fraction mapping in patients with multiple sclerosis von Cho, Junghun, Nguyen, Thanh D, Huang, Weiyuan, Sweeney, Elizabeth M, Luo, Xianfu, Kovanlikaya, Ilhami, Zhang, Shun, Gillen, Kelly M, Spincemaille, Pascal, Gupta, Ajay, Gauthier, Susan A, Wang, Yi

“… We aimed to demonstrate the feasibility of whole brain oxygen extraction fraction (OEF) mapping for measuring lesion specific and regional OEF abnormalities in …”
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Quantitative susceptibility mapping versus phase imaging to identify multiple sclerosis iron rim lesions with demyelination von Huang, Weiyuan, Sweeney, Elizabeth M., Kaunzner, Ulrike W., Wang, Yi, Gauthier, Susan A., Nguyen, Thanh D.

“… Background and Purpose To compare quantitative susceptibility mapping (QSM) and high‐pass‐filtered (HPF) phase imaging for (1) identifying chronic active rim …”
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Mapping the Relationship of White Matter Lesions to Depression in Multiple Sclerosis von Baller, Erica B., Sweeney, Elizabeth M., Cieslak, Matthew, Robert-Fitzgerald, Timothy, Covitz, Sydney C., Martin, Melissa L., Schindler, Matthew K., Bar-Or, Amit, Elahi, Ameena, Larsen, Bart S., Manning, Abigail R., Markowitz, Clyde E., Perrone, Christopher M., Rautman, Victoria, Seitz, Madeleine M., Detre, John A., Fox, Michael D., Shinohara, Russell T., Satterthwaite, Theodore D.

“… Multiple sclerosis (MS) is an immune-mediated neurological disorder, and up to 50% of patients experience depression. We investigated how white matter network …”
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Differential frequency in imaging‐based outcome measurement: Bias in real‐world oncology comparative‐effectiveness studies von Adamson, Blythe J. S., Ma, Xinran, Griffith, Sandra D., Sweeney, Elizabeth M., Sarkar, Somnath, Bourla, Ariel B.

“… Background Comparative‐effectiveness studies using real‐world data (RWD) can be susceptible to surveillance bias. In solid tumor oncology studies, analyses of …”
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