A multi-institutional machine learning algorithm for prognosticating facial nerve injury following microsurgical resection of vestibular schwannoma

Authors: Sabrina M. Heman-Ackah, Rachel Blue, Alexandra E. Quimby, Hussein Abdallah, Elizabeth M. Sweeney, Daksh Chauhan, Tiffany Hwa, Jason Brant, Michael J. Ruckenstein, Douglas C. Bigelow, Christina Jackson, Georgios Zenonos, Paul Gardner, Selena E. Briggs, Yale Cohen, John Y. K. Lee

Source: Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/3ac1fc30e385454d890751a414886f3b

Association of brain tissue cerebrospinal fluid fraction with age in healthy cognitively normal adults

Authors: Liangdong Zhou, Yi Li, Elizabeth M. Sweeney, Xiuyuan H. Wang, Amy Kuceyeski, Gloria C. Chiang, Jana Ivanidze, Yi Wang, Susan A. Gauthier, Mony J. de Leon, Thanh D. Nguyen

Source: Frontiers in Aging Neuroscience, Vol 15 (2023)

Subject Terms: T2 relaxometry, cerebrospinal fluid fraction (CSFF), myelin water fraction (MWF), intra/extra-cellular water fraction (IEWF), FAST-T2, normal aging, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnagi.2023.1162001/full; https://doaj.org/toc/1663-4365

Access URL: https://doaj.org/article/0bb2151f3dfb410aad3fcac1a34e9636

Quantitative Water Permeability Mapping of Blood-Brain-Barrier Dysfunction in Aging

Authors: Jeremy N. Ford, Qihao Zhang, Elizabeth M. Sweeney, Alexander E. Merkler, Mony J. de Leon, Ajay Gupta, Thanh D. Nguyen, Jana Ivanidze

Source: Frontiers in Aging Neuroscience, Vol 14 (2022)

Subject Terms: arterial spin labeling, blood-brain barrier, aging, glymphatic, cerebral small vessel disease, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnagi.2022.867452/full; https://doaj.org/toc/1663-4365

Access URL: https://doaj.org/article/c03f3daf0a0c40298ea4d05826bdffd4

QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility maps

Authors: Hang Zhang, Thanh D. Nguyen, Jinwei Zhang, Melanie Marcille, Pascal Spincemaille, Yi Wang, Susan A. Gauthier, Elizabeth M. Sweeney

Source: NeuroImage: Clinical, Vol 34, Iss , Pp 102979- (2022)

Subject Terms: Multiple sclerosis, Quantitative susceptibility mapping, Chronic active lesions, Convolutional neural network, Radiomic features, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2213158222000444; https://doaj.org/toc/2213-1582

Access URL: https://doaj.org/article/d597666120be446e8da665e52b7b8ac5

Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection

Authors: Emily R. Olafson, Keith W. Jamison, Elizabeth M. Sweeney, Hesheng Liu, Danhong Wang, Joel E. Bruss, Aaron D. Boes, Amy Kuceyeski

Source: NeuroImage, Vol 245, Iss , Pp 118642- (2021)

Subject Terms: fMRI, Stroke, Remapping, Graph matching, Motor recovery, Connectome, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1053811921009150; https://doaj.org/toc/1095-9572

Access URL: https://doaj.org/article/91d38c0862794f2baf2afcafdea5f52d

ALL-Net: Anatomical information lesion-wise loss function integrated into neural network for multiple sclerosis lesion segmentation

Authors: Hang Zhang, Jinwei Zhang, Chao Li, Elizabeth M. Sweeney, Pascal Spincemaille, Thanh D. Nguyen, Susan A. Gauthier, Yi Wang, Melanie Marcille

Source: NeuroImage: Clinical, Vol 32, Iss , Pp 102854- (2021)

Subject Terms: Multiple sclerosis, Convolutional neural network, Lesion segmentation, MRI, Deep learning, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2213158221002989; https://doaj.org/toc/2213-1582

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Fully automated detection of paramagnetic rims in multiple sclerosis lesions on 3T susceptibility-based MR imaging

Authors: Carolyn Lou, Pascal Sati, Martina Absinta, Kelly Clark, Jordan D. Dworkin, Alessandra M. Valcarcel, Matthew K. Schindler, Daniel S. Reich, Elizabeth M. Sweeney, Russell T. Shinohara

Source: NeuroImage: Clinical, Vol 32, Iss , Pp 102796- (2021)

Subject Terms: Multiple sclerosis, Neuroimaging, Paramagnetic rim lesions, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2213158221002400; https://doaj.org/toc/2213-1582

Access URL: https://doaj.org/article/24fed45d82c54346ab631238ac6a08a1

Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging

Authors: Elizabeth M. Sweeney, Thanh D. Nguyen, Amy Kuceyeski, Sarah M. Ryan, Shun Zhang, Lily Zexter, Yi Wang, Susan A. Gauthier

Source: NeuroImage, Vol 225, Iss , Pp 117451- (2021)

Subject Terms: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1053811920309368; https://doaj.org/toc/1095-9572

Access URL: https://doaj.org/article/8956a5b875544314a0320ab186282389

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

Authors: John Muschelli, Elizabeth M. Sweeney, Natalie L. Ullman, Paul Vespa, Daniel F. Hanley, Ciprian M. Crainiceanu

Source: NeuroImage: Clinical, Vol 14, Iss C, Pp 379-390 (2017)

Subject Terms: CT, ICH segmentation, Intracerebral hemorrhage, Stroke, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2213158217300414; https://doaj.org/toc/2213-1582

Access URL: https://doaj.org/article/4658cef809d54ddb84795c35f6e34fed

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

Authors: Elizabeth M. Sweeney, Russell T. Shinohara, Blake E. Dewey, Matthew K. Schindler, John Muschelli, Daniel S. Reich, Ciprian M. Crainiceanu, Ani Eloyan

Source: NeuroImage: Clinical, Vol 10, Iss C, Pp 1-17 (2016)

Subject Terms: Structural magnetic resonance imaging, Multi-sequence imaging, Longitudinal study, Multiple sclerosis, Longitudinal lesion behavior, Principal component analysis and regression, Function-on-scalar regression, Expert rater trial, Biomarker, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2213158215300139; https://doaj.org/toc/2213-1582

Access URL: https://doaj.org/article/d627075779af43c4823555a1d1eab203

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

Authors: Jordan D. Dworkin, Elizabeth M. Sweeney, Matthew K. Schindler, Salim Chahin, Daniel S. Reich, Russell T. Shinohara

Source: NeuroImage: Clinical, Vol 12, Iss C, Pp 293-299 (2016)

Subject Terms: Multiple sclerosis, Prediction, Lesion, Neuroimaging, MRI, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2213158216301358; https://doaj.org/toc/2213-1582

Access URL: https://doaj.org/article/da27ef327f52466ea7b628f4604585a9

Statistical normalization techniques for magnetic resonance imaging

Authors: Russell T. Shinohara, Elizabeth M. Sweeney, Jeff Goldsmith, Navid Shiee, Farrah J. Mateen, Peter A. Calabresi, Samson Jarso, Dzung L. Pham, Daniel S. Reich, Ciprian M. Crainiceanu

Source: NeuroImage: Clinical, Vol 6, Iss C, Pp 9-19 (2014)

Subject Terms: Magnetic resonance imaging, Normalization, Statistics, Image analysis, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S221315821400117X; https://doaj.org/toc/2213-1582

Access URL: https://doaj.org/article/1c5cdb94734b4b9f848caaae8c792e15

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

Authors: Russell T. Shinohara, Elizabeth M. Sweeney, Jeff Goldsmith, Navid Shiee, Farrah J. Mateen, Peter A. Calabresi, Samson Jarso, Dzung L. Pham, Daniel S. Reich, Ciprian M. Crainiceanu

Source: NeuroImage: Clinical, Vol 7, Iss C, p 848 (2015)

Subject Terms: Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2213158215000297; https://doaj.org/toc/2213-1582

Access URL: https://doaj.org/article/2b79761a33984b1da767cdcc26b93ed9

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A comparison of supervised machine learning algorithms and feature vectors for MS lesion segmentation using multimodal structural MRI.

Authors: Elizabeth M Sweeney, Joshua T Vogelstein, Jennifer L Cuzzocreo, Peter A Calabresi, Daniel S Reich, Ciprian M Crainiceanu, Russell T Shinohara

Source: PLoS ONE, Vol 9, Iss 4, p e95753 (2014)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0095753&type=printable; https://doaj.org/toc/1932-6203

Access URL: https://doaj.org/article/b33875a4dca745609a950a377af6ac74

Health effects of lesion localization in multiple sclerosis: spatial registration and confounding adjustment.

Authors: 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

Source: PLoS ONE, Vol 9, Iss 9, p e107263 (2014)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: http://europepmc.org/articles/PMC4169434?pdf=render; https://doaj.org/toc/1932-6203

Access URL: https://doaj.org/article/d315f552e7874357b682eabe9986236d