Results 161 to 170 of about 502,069 (324)

Diffuse MRI Edema Predicts Relapse in Cerebral Amyloid Angiopathy–Related Inflammation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify MRI predictors of relapse and quantify relapse and mortality risk in cerebral amyloid angiopathy–related inflammation (CAA‐RI). A secondary objective was to assess the association between mycophenolate mofetil use and relapse risk. Methods We performed a retrospective cohort study of 36 patients with CAA‐RI treated at the
G. Abbas Kharal, Gowtham Yerneni, Kim J. Griffin, Nicolas Thompson, Ken Uchino, Irene Katzan, Dolora Wisco, Abeer Farrag, Jayashree Sundarajan, Andrew Russman, M. Shazam Hussain   +10 more
wiley   +1 more source

Early Clinical and Cerebrospinal Fluid Predictors of 1‐Year Recurrence in Autoimmune GFAP Astrocytopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong, Yuping Xiao, Yuhan Wu, Ziyuan Huang, Weishan Liang, Li Xiao, Yaqing Shu, Tingting Lu, Yanyu Chang, Wei Qiu, Yuge Wang   +10 more
wiley   +1 more source

Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit, Aime Luna, Bradley Judge, Nicole Shelley, Karl Friedrichsen, Jayashree Rajamanickam, Zhude Tu, Yong Wang, Tammie L. S. Benzinger, Qing Wang, Matthew R. Brier   +10 more
wiley   +1 more source

A New PS Operator Apex-Shifted Hyperbolic Radon Transform and Its Application in Diffraction Wave Separation

Journal of Marine Science and Engineering
The Apex-Shifted Hyperbolic Radon Transform (ASHRT) is a variant of the Radon Transform. In the field of seismic exploration, it can be applied to simultaneous source separation, diffraction- and reflection-wave separation, seismic data reconstruction ...
Zhiyu Cao, Xiangbo Gong, Zhuo Xu, Guangshuai Peng, Zhe Wang, Xiaolong Li   +5 more
doaj   +1 more source

Sparse sets.

, 2008
For a given p>0 we consider sequences that are random with respect to p-Bernoulli distribution and sequences that can be obtained from them by replacing ones by zeros. We call these sequences sparse and study their properties. They can be used in the robustness analysis for tilings or computations and in percolation theory. This talk is a report on an (
Shen, Alexander, Bienvenu, Laurent, Romashchenko, Andrei   +2 more
openaire   +2 more sources

Investigation of Complement Activation and Cytokine Signatures in AQP4+ NMOSD, MOGAD, and MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Aquaporin‐4‐IgG seropositive neuromyelitis optica spectrum disorder (AQP4+ NMOSD), myelin oligodendrocyte glycoprotein antibody‐associated disease (MOGAD), and multiple sclerosis (MS) are pathophysiologically distinct neuroinflammatory disorders. Complement activation is a major mechanism of injury in AQP4+ NMOSD, whereas its role in
Angeliki G. Filippatou, Susana Dominguez‐Penuela, David Acero‐Garces, Georgios Gakis, Matthew D. Smith, Yasmin Resto, Maria Reyes‐Mantilla, Haiwen Chen, Isabella Hernandez, Yana Said, Andrea Salazar‐Camelo, Christina Huynh, Alessia Tassoni, Ted Yednock, Rick Artis, Yaisa Andrews‐Zwilling, Scott D. Newsome, Shiv Saidha, Pavan Bhargava, Ellen M. Mowry, Kathryn C. Fitzgerald, Peter A. Calabresi, Carlos A. Pardo, Elias S. Sotirchos   +23 more
wiley   +1 more source

Sparse and Faithful Explanations Without Sparse Models

CoRR
Even if a model is not globally sparse, it is possible for decisions made from that model to be accurately and faithfully described by a small number of features. For instance, an application for a large loan might be denied to someone because they have no credit history, which overwhelms any evidence towards their creditworthiness.
Yiyang Sun 0001, Zhi Chen 0009, Vittorio Orlandi, Tong Wang 0011, Cynthia Rudin   +4 more
openaire   +3 more sources

Differential response of the retinal neural code with respect to the sparseness of natural images

, 2016
Natural images follow statistics inherited by the structure of our physical (visual) environment. In particular, a prominent facet of this structure is that images can be described by a relatively sparse number of features.
Palacios, Adrián G, Perrinet, Laurent U, Ravello, Cesar, Escobar, Maria-José   +3 more
core   +1 more source

Juvenile Huntington Disease With Cerebellar‐Predominant Atrophy Identified by Genome Sequencing

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Juvenile Huntington disease accounts for a small fraction of Huntington disease cases and is driven by the largest trinucleotide repeat expansions. We describe a 6‐year‐old boy with progressive global regression, generalized dystonia, and epilepsy, in whom serial imaging showed striking cerebellar‐predominant atrophy with an initially normal ...
Enrique Gonzalez Saez‐Diez, Amy Tam, Siofra Carty, Monica Ferrer Socorro, Kathryn Yang, Darius Ebrahimi‐Fakhari   +5 more
wiley   +1 more source

Sparseness-Optimized Feature Importance for Time Series Classification

IEEE Access
The literature reports a wide variety of attribution methods for explaining the predictions made by time series classification (TSC) algorithms. These post-hoc explanation methods span from model-specific to agnostic procedures that operate at different ...
Isel Grau, Gonzalo Napoles, Agnieszka Jastrzebska, Yamisleydi Salgueiro   +3 more
doaj   +1 more source