Image-based analysis and long-term clinical outcomes of deep brain stimulation for Tourette syndrome: a multisite study

KA Johnson, PT Fletcher, D Servello, A Bona… - Journal of Neurology …, 2019 - jnnp.bmj.com
Background Deep brain stimulation (DBS) can be an effective therapy for tics and
comorbidities in select cases of severe, treatment-refractory Tourette syndrome (TS). Clinical …

Fast diffeomorphic image registration via fourier-approximated lie algebras

M Zhang, PT Fletcher - International Journal of Computer Vision, 2019 - Springer
This paper introduces Fourier-approximated Lie algebras for shooting (FLASH), a fast
geodesic shooting algorithm for diffeomorphic image registration. We approximate the …

A differentially private probabilistic framework for modeling the variability across federated datasets of heterogeneous multi-view observations

I Balelli, S Silva, M Lorenzi - arXiv preprint arXiv:2204.07352, 2022 - arxiv.org
We propose a novel federated learning paradigm to model data variability among
heterogeneous clients in multi-centric studies. Our method is expressed through a …

Deep Brain Stimulation Atlases in Movement Disorders: From Patient-Specific to Group Analysis

D Vogel - 2022 - diva-portal.org
In the process of creating Probabilistic Stimulation Maps, resolving overlap between the
many stimulation test results is necessary. One approach consisted of stacking results as a …

A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images

A Pai, S Sommer, LL Raket, L Kühnel… - … Computer Vision and …, 2017 - Springer
Template estimation plays a crucial role in computational anatomy since it provides
reference frames for performing statistical analysis of the underlying anatomical population …

Bayesian models on manifolds for image registration and statistical shape analysis

M Zhang - 2016 - search.proquest.com
An important area of medical imaging research is studying anatomical diffeomorphic shape
changes and detecting their relationship to disease processes. For example …