1 citations · 2 across the 12 of their papers we have counts for
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Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
Santiago Silva, Boris Gutman, Eduardo Romero +3
At this moment, databanks worldwide contain brain images of previously unimaginable numbers. Combined with developments in data science, these massive data provide the potential to…
Deep Learning for Quality Control of Subcortical Brain 3D Shape Models
Dmitry Petrov, Boris A. Gutman Egor Kuznetsov, Theo G. M. van Erp +70
We present several deep learning models for assessing the morphometric fidelity of deep grey matter region models extracted from brain MRI. We test three different convolutional ne…
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms
Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov +5
We present a method for metric optimization in the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework, by treating the induced Riemannian metric on the space of diffe…
Connectivity-Driven Brain Parcellation via Consensus Clustering
Anvar Kurmukov, Ayagoz Mussabayeva, Yulia Denisova +2
We present two related methods for deriving connectivity-based brain atlases from individual connectomes. The proposed methods exploit a previously proposed dense connectivity repr…