Regularized aggregation of statistical parametric maps
Sign Up to like & getrecommendations! Published in 2019 at "Human Brain Mapping"
DOI: 10.1002/hbm.24355
Abstract: Combining statistical parametric maps (SPM) from individual subjects is the goal in some types of group‐level analyses of functional magnetic resonance imaging data. Brain maps are usually combined using a simple average across subjects, making… read more here.
Keywords: aggregation; statistical parametric; aggregation statistical; regularized aggregation ... See more keywords
Jointly estimating parametric maps of multiple diffusion models from undersampled q‐space data: A comparison of three deep learning approaches
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29162
Abstract: While advanced diffusion techniques have been found valuable in many studies, their clinical availability has been hampered partly due to their long scan times. Moreover, each diffusion technique can only extract a few relevant microstructural… read more here.
Keywords: maps multiple; diffusion; learning approaches; parametric maps ... See more keywords
Breast-Lesion Characterization using Textural Features of Quantitative Ultrasound Parametric Maps
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-13977-x
Abstract: This study evaluated, for the first time, the efficacy of quantitative ultrasound (QUS) spectral parametric maps in conjunction with texture-analysis techniques to differentiate non-invasively benign versus malignant breast lesions. Ultrasound B-mode images and radiofrequency data… read more here.
Keywords: analysis techniques; lesion; parametric maps; textural features ... See more keywords