Search Results for author:
Found 8 papers, 4 papers with code
Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in neurodegenerative diseases
Magnetic resonance imaging (MRI) is the standard modality to understand human brain structure and function in vivo (antemortem).
Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis
The resulting pre-trained models can be adapted to a range of downstream neuroimaging tasks, even when training data for the target task is limited.
Explainable Brain Age Prediction using coVariance Neural Networks
In computational neuroscience, there has been an increased interest in developing machine learning algorithms that leverage brain imaging data to provide estimates of "brain age" for an individual.
Automated deep learning segmentation of high-resolution 7 T postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases
Postmortem MRI allows brain anatomy to be examined at high resolution and to link pathology measures with morphometric measurements.
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection
There is great interest in developing radiological classifiers for diagnosis, staging, and predictive modeling in progressive diseases such as Parkinson's disease (PD), a neurodegenerative disease that is difficult to detect in its early stages.
Predicting Brain Age using Transferable coVariance Neural Networks
We have recently studied covariance neural networks (VNNs) that operate on sample covariance matrices using the architecture derived from graph convolutional networks, and we showed VNNs enjoy significant advantages over traditional data analysis approaches.
coVariance Neural Networks
Moreover, our experiments on multi-resolution datasets also demonstrate that VNNs are amenable to transferability of performance over covariance matrices of different dimensions; a feature that is infeasible for PCA-based approaches.
Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres
Ex vivo MRI of the brain provides remarkable advantages over in vivo MRI for visualizing and characterizing detailed neuroanatomy.
