Cargando…
Relating Acute Lesion Loads to Chronic Outcome in Ischemic Stroke–An Exploratory Comparison of Mismatch Patterns and Predictive Modeling
Objectives: To investigate the relationship between imaging features derived from lesion loads and 3 month clinical assessments in ischemic stroke patients. To support clinically implementable predictive modeling with information from lesion-load features. Methods: A retrospective cohort of ischemic...
Autores principales: | Habegger, Simon, Wiest, Roland, Weder, Bruno J., Mordasini, Pasquale, Gralla, Jan, Häni, Levin, Jung, Simon, Reyes, Mauricio, McKinley, Richard |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141854/ https://www.ncbi.nlm.nih.gov/pubmed/30254601 http://dx.doi.org/10.3389/fneur.2018.00737 |
Ejemplares similares
-
A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI
por: Rebsamen, Michael, et al.
Publicado: (2022) -
Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical Information
por: Pinto, Adriano, et al.
Publicado: (2018) -
A Machine Learning Approach to Perfusion Imaging With Dynamic Susceptibility Contrast MR
por: McKinley, Richard, et al.
Publicado: (2018) -
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI
por: Winzeck, Stefan, et al.
Publicado: (2018) -
Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellation
por: Rebsamen, Michael, et al.
Publicado: (2020)