In this paper, we estimate the lesion mask with a Bayesian approach, and integrate it into a two-stage registration algorithm, whose accuracy outperforms state- ...
In this paper, it is proposed to quantitatively assess the impact of large stroke lesions onto the registration process. To reduce this impact, a new ...
Bayesian Stroke Lesion Estimation for Automatic Registration of DTI Images ... images with focal lesions using cost function masking. Neuroimage 14(2), 486 ...
Félix Renard, Matthieu Urvoy, Assia Jaillard: Bayesian Stroke Lesion Estimation for Automatic Registration of DTI Images. Brainles@MICCAI 2015: 91-103.
Felix Renard et al. proposed a Bayesian-based lesion estimation model using diffusion tensor imaging slices. It considered fractional anisotropy to measure the ...
Mar 31, 2023 · Our model formed full posterior Bayesian estimates to infer the explanatory relevance of each lesion atom for the prediction of language ...
As a method for predicting clinical disability from DTI images, we propose a hierarchical Bayesian “scalar-on-image” regression procedure. Our procedure ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
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Bayesian Stroke Lesion Estimation for Automatic Registration of DTI Images. Félix Renard, Matthieu Urvoy, Assia Jaillard. Pages 91-103. Download chapter PDF · A ...
The diffusion signal is formed by a sum of these compartments, and the parameters are estimated using the Bayesian approach described in Reisert et al.
Jan 18, 2022 · We formed full posterior-Bayes estimates to infer the explanatory relevance of each lesion atom for the prediction of language outcomes in ...